{
"cells": [
{
"cell_type": "markdown",
"id": "29473a1b-493c-40a0-80b6-4873d04b9407",
"metadata": {},
"source": [
"## Diffusion of a bell-shaped initial concentration along a persistent gradient\n",
"Similar to the experiment `diffusion_along_gradient_1`, but now the gradient is NOT an initial condition; rather, it's a persistent dynamic condition (explored in experiment *gradient_1*).\n",
"\n",
"The one-chemical system starts out with a uniform concentration. \n",
"The persistent concentration gradient is attained by continuosly injecting and draining, at opposite ends.\n",
"\n",
"After a stable gradient is established, a one-time injection is performed, to\n",
"add a bell-shape concentration near one end of the system, on the \"uphill\" side of the gradient.\n",
"\n",
"Just as seen in the case of `diffusion_along_gradient_1`, the concentration peak\n",
"remains in place, and simply spreads out from there"
]
},
{
"cell_type": "markdown",
"id": "ac60b210-df99-4660-a428-7405ef79f553",
"metadata": {},
"source": [
"### TAGS : \"diffusion 1D\""
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "eae00b7a-49a4-4c4d-91c8-527c471d24f0",
"metadata": {},
"outputs": [],
"source": [
"LAST_REVISED = \"May 3, 2025\"\n",
"LIFE123_VERSION = \"1.0.0rc3\" # Library version this experiment is based on"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d73e2c5a-503f-4a6a-823d-e2f90e7efe5d",
"metadata": {},
"outputs": [],
"source": [
"#import set_path # Using MyBinder? Uncomment this before running the next cell!"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9f96dbc0",
"metadata": {},
"outputs": [],
"source": [
"#import sys\n",
"#sys.path.append(\"C:/some_path/my_env_or_install\") # CHANGE to the folder containing your venv or libraries installation!\n",
"# NOTE: If any of the imports below can't find a module, uncomment the lines above, or try: import set_path \n",
"\n",
"from life123 import BioSim1D, ChemData, check_version"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "77d9a293-b76b-41a6-b056-f03374ece489",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OK\n"
]
}
],
"source": [
"check_version(LIFE123_VERSION)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dc5fef25-fc4b-4497-81e0-7276922b5c16",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 5,
"id": "99ab76d6",
"metadata": {},
"outputs": [],
"source": [
"# Initialize the system with a uniform concentration (of the only species)\n",
"chem_data = ChemData(names=\"A\", diffusion_rates=3.)\n",
"bio = BioSim1D(n_bins=200, chem_data=chem_data)\n",
"\n",
"bio.set_uniform_concentration(chem_label=\"A\", conc=150.)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d1c3fcac-410b-4f3f-85dd-972964b7e607",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=0"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
149,
151
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAwUAAAFoCAYAAAAGkFfUAAAgAElEQVR4Xu3db6gl5Z0n8GonJjvDhIAxo6u7gi9Cs2gvmeAKywq6hB0iLEGE0IaQ0C+WdASXRESzLIGmwV1QEQ0rmM6rJiLahBWRWQwZZGwQBkRmwqosTV4IMvYoiYGsEJlxZtyuO1s31dV1/tzze+r8bt3nc18kem/VU8/z+f3utb6nqs459PGFr8YXAQIECBAgQIAAAQLVChwSCqqtvYUTIECAAAECBAgQ2BEQCjQCAQIECBAgQIAAgcoFhILKG8DyCRAgQIAAAQIECAgFeoAAAQIECBAgQIBA5QJCQeUNYPkECBAgQIAAAQIEhAI9QIAAAQIECBAgQKByAaGg8gawfAIECBAgQIAAAQJCgR4gQIAAAQIECBAgULmAUFB5A1g+AQIECBAgQIAAAaFADxAgQIAAAQIECBCoXEAoqLwBLJ8AAQIECBAgQICAUKAHCBAgQIAAAQIECFQuIBRU3gCWT4AAAQIECBAgQEAo0AMECBAgQIAAAQIEKhcQCipvAMsnQIAAAQIECBAgIBToAQIECBAgQIAAAQKVCwgFlTeA5RMgQIAAAQIECBAQCvQAAQIECBAgQIAAgcoFhILKG8DyCRAgQIAAAQIECAgFeoAAAQIECBAgQIBA5QJCQeUNYPkECBAgQIAAAQIEhAI9QIAAAQIECBAgQKByAaGg8gawfAIECBAgQIAAAQJCgR4gQIAAAQIECBAgULmAUFB5A1g+AQIECBAgQIAAAaFADxAgQIAAAQIECBCoXEAoqLwBLJ8AAQIECBAgQICAUKAHCBAgQIAAAQIECFQuIBRU3gCWT4AAAQIECBAgQEAo0AMECBAgQIAAAQIEKhcQCipvAMsnQIAAAQIECBAgIBToAQIECBAgQIAAAQKVCwgFlTeA5RMgQIAAAQIECBAQCvQAAQIECBAgQIAAgcoFhILKG8DyCRAgQIAAAQIECAgFeoAAAQIECBAgQIBA5QJCQeUNkLn8G2471vzJrTc1j528J3Majk2AAAECBAgQqF5gNqGgPYEcft14+PrmzKkTkxTxkSefbU6f+Wnz4tMPNddde9Ukx6h90ClCwRRjdnXa69ivvPp6c/yBR5vvf/cbzdfu+NJF5b73xBPNz86+1px6+L7mlpuP7ItWWDbf6ASHv79jJtFj2J8AAQIECBDYXGDfh4Jnnn+pefDxpy55Rbk7gbnyis80Z5/7weYCC/YUCoqTXjLgXk+y15nRFGMKBevIj2/z9jvvNbd//XsX/f5OGT42n6k9CRAgQIBA3QL7PhS0J3nLrgi0r7hOcfuJUDD9L8YUJ/BTjDlFKJhed+9HmOJkvbsi8ubLpy+aUPv9v3z9F5ME+r2v3B4ECBAgQIDALELBOvedd1cUxm5L6E52jh39cnP/3XftVL07Wem3QHerUBcIhu3RH7t7BbS/zfBWkKPHTzbv/vLXzX/7L/9p5zaS7qsLOd2cu++vs85u2+G+7ff78+uf4L36V/9n51aV7mtoNDbWcLz23/tB6Rv/+b83v/r1b3bHHLvN6tY7v3PRNsOrOt0J/M1//K92rgatcmg93zj31sLtxm4xW3UlaayO7QGGtdjr2J3/sIe6ccdCZ+dxzdVX7ty61n11fTvs2UW34Azd+32/6E/eqvlu+qeyncvVn7viktv8up7bT7dPbbpG+xEgQIAAgYMgsO9DQXeCs87JQ7tt+zW8nag7Oe++351c9l+9HO677EpBd0LTP9kaCyXdcfpXOvonoWPfX+cErptb36Q7YexOzvsnef2Tx7F1tXN//sVXLjpxG1tPPyz1Q8CY5/AKz9htJN2Jdv8EfNGr1WNXjBZ9by/hqptXvxfG5tr21V6vQix75X1RKGiPM9ZXi77f74Fu3mN9tY7JqisFY8Fo7I9g33KR2apjHYQ/rtZAgAABAgTmJLDvQ8GiV3LHTp7HXn3s9u+fGC86UWlP1LorCctCwaL9h7dEDMNI1xiLXj1d9P1hQy0at13/v/s3N+48GL3opKvzWCd8tPP54pHP796etchkOOaqk+HOeJHj0GHRcceOs9cT90W/rGO3t+x17FUOwwfZx8ZfVK+x7y/ri/ZKzKqH5kufqC8KV6156WPN6Y+uuRIgQIAAgf0osO9DQR9tePtI+7Ox2zz63+tOKIdXBdpbX5adGO/lRLSb4/BYi07S9vr9YeN0VwWWPWuxSShY9Q5Py4JS/0S+H+SWXeFZNxQs8hp79X6vJ+6d7VhvtT9b51XvRb/YJULB2Bq74w3XuupV+VVX20qfqAsF+/FPvjkRIECAAIFxgVmFgrFXzNt7zPsnO8MT1/ZEaezkf3jfdTv2snG6Yy+6/74/t+4V2b2e/C87+V0UDPrf769zL6GgCxnDgLXuK/btHIbbLrrCs85J9nCsZVdQhrcQ7TUUdPUcPnsw9oDsXsfeZihY5N3vj1VvA7oqFLh9yH9GCBAgQIDAwRWYdShY9HBxFwT+xT//3M4DrKtum+ifUHUnrauuFKx61bVtmSlDwbAlh89e7CUUrPuK/Sa3VA3DVP/qxrrHnfJKwaKx5xYKuisK69wWtujP2apQsMmfQQ8ab6JmHwIECBAgsH2BfR0K2pP1My/8+e59/kOeRSep3f3g7bueXHP1Zy96y9JFYw7H6gLHWKBY9xXjqULB2NuwDk/o1g0Fy54xWPdKwfBYrd2/vOaPLvlQrqHHuqFgVUDrvwI+fA5i1a/UopPWsVCw17HHnmfp5rPs3YeGb7G7yGn4/b1caRpzWTbfVY6Lfu4tSTeVsx8BAgQIENiuwL4PBe0HH7Vfw1fmF32oWbtt/5X/4Un92Du0tPsM331o2cny2LsPdcdt36qz/y5H7VuSrno3pK7k657UdVcF+rfiLHr3oeEtI2PrGnvXpu4Y/Vf2x971qJ378BaeMZ9F7z409q44Yyfq7THG3tJ0+FzFopPQVSet/T7pv/XnmPHwPfeX/couCh1ThIJFvd3191P/47+u/HTudR92X/fPlA8vW1fKdgQIECBAIFdgX4eCjmbs/v/2Z8tuC1p2cjP2nuxjD+0Onx9Y9TkF7Zz6t29MdaWgOxEftk7/ZHXdKwWLjFvbNuD032O+O5FtT877n1EwdmI/9lkPw1tb1r1S0A9Nyz6nYGwtqz6noN1n7P3/u892GAaAfi+uM/bwXv91Pqdg0ysFy35flj2U3u+jRfON/pkaPo+w6vmG6PHsT4AAAQIECOxNYBahYG9LahofjLRXsfW29ynP6znZigABAgQIECAwN4EDGQoWfYjZ3Iqz3+YrFOy3ipgPAQIECBAgQKCMwIELBYvekagMV92jCAV119/qCRAgQIAAgYMrcOBCwcEtlZURIECAAAECBAgQmEZAKJjG1agECBAgQIAAAQIEZiMgFMymVCZKgAABAgQIECBAYBoBoWAaV6MSIECAAAECBAgQmI2AUDCbUpkoAQIECBAgQIAAgWkEhIJpXI1KgAABAgQIECBAYDYCQsFsSmWiBAgQIECAAAECBKYREAqmcTUqAQIECBAgQIAAgdkICAWzKZWJEiBAgAABAgQIEJhGQCiYxtWoBAgQIECAAAECBGYjIBTMplQmSoAAAQIECBAgQGAaAaFgGlejEiBAgAABAgQIEJiNgFAwm1KZKAECBAgQIECAAIFpBISCaVyNSoAAAQIECBAgQGA2AkLBbEplogQIECBAgAABAgSmERAKpnE1KgECBAgQIECAAIHZCAgFsymViRIgQIAAAQIECBCYRkAomMbVqAQIECBAgAABAgRmIyAUzKZUJkqAAAECBAgQIEBgGgGhYBpXoxIgQIAAAQIECBCYjYBQMJtSmSgBAgQIECBAgACBaQSEgmlcjUqAAAECBAgQIEBgNgJCwWxKZaIECBAgQIAAAQIEphEQCqZxNSoBAgQIECBAgACB2QgIBbMplYkSIECAAAECBAgQmEZAKJjG1agECBAgQIAAAQIEZiMgFMymVCZKgAABAgQIECBAYBoBoWAaV6MSIECAAAECBAgQmI2AUDCbUpkoAQIECBAgQIAAgWkEhIJpXI1KgAABAgQIECBAYDYCQsFsSmWiBAgQIECAAAECBKYREAqmcTUqAQIECBAgQIAAgdkICAWzKZWJEiBAgAABAgQIEJhGQCiYxtWoBAgQIECAAAECBGYjIBTMplQmSoAAAQIECBAgQGAaAaFgGlejEiBAgAABAgQIEJiNgFAwm1KZKAECBAgQIECAAIFpBISCaVyNSoAAAQIECBAgQGA2AkLBbEplogQIECBAgAABAgSmERAKpnE1KgECBAgQIECAAIHZCAgFsymViRIgQIAAAQIECBCYRkAomMbVqAQIECBAgAABAgRmI1BVKHjkyWeb135+rjlz6sRFBTp6/GTzxrm3LvresaNfbu6/+67d773y6uvN8Qcebd58+fRsimuiBAgQIECAAAECBNYRqCIUPPP8S82Djz+143Hj4etHQ8FNXzh8UQjo8N5+573m9q9/b9dSKFinrWxDgAABAgQIECAwJ4EqQkFXkHtPPNGcf/f9PYWCbt8uWAgFc2pvcyVAgAABAgQIEFhHQCi4oDS8fWh461ALKRSs0062IUCAAAECBAgQmKOAUDCoWvfswKmH72tuufnI7k+Fgjm2tzkTIECAAAECBAisIyAUjCi1Vw6GzxgsCwXn3/9wHWvbENhI4A9//xPNoUOHmg9++9FG+9uJwDoCbZ9ddqHP/q8+W4fLNhsK/OE/u9Bnl+mzDfnstkLgms/+PqOAgFAgFATax67bEBAKtqHsGEKBHtiGgFCwDeV6jyEUxGpffSho313osR/9pHns5D07kt0VgReffqi57tqrdnVdKYg1mr03FxAKNrez5/oCQsH6VrbcXEAo2NzOnqsFhILVRsu2qCIU9N+StMPoPzNww23HLjLq/2z4lqTthsMHkd0+FGtCey8XEAp0yDYEhIJtKDuGUKAHphQQCmK6VYSCGNHqvYWC1Ua22FxAKNjczp7rCwgF61vZcnMBoWBzO3uuFhAKVhtVf6UgRrR6b6FgtZEtNhcQCja3s+f6AkLB+la23FxAKNjczp6rBYSC1UZCQcxo5d5CwUoiGwQEhIIAnl3XFhAK1qayYUBAKAjg2XWlgFCwkmjpBm4fivnt7C0UFEA0xEIBoUBzbENAKNiGsmMIBXpgSgGhIKYrFMT8hIICfoZYLiAU6JBtCAgF21B2DKFAD0wpIBTEdIWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNkLBTE/oaCAnyGEAj2QLyAU5NeghhkIBTVUOW+NQkHMXiiI+QkFBfwMIRTogXwBoSC/BjXMQCioocp5axQKYvZCQcxPKCjgZwihQA/kCwgF+TWoYQZCQQ1VzlujUBCzFwpifkJBAT9DCAV6IF9AKMivQQ0zEApqqHLeGoWCmL1QEPMTCgr4GUIo0AP5AkJBfg1qmIFQUEOV89YoFMTshYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcxeKIj5CQUF/AwhFOiBfAGhIL8GNcxAKKihynlrFApi9kJBzE8oKOBnCKFAD+QLCAX5NahhBkJBDVXOW6NQELMXCmJ+QkEBP0MIBXogX0AoyK9BDTMQCmqoct4ahYKYvVAQ8xMKCvgZQijQA/kCQkF+DWqYgVBQQ5Xz1igUxOyFgpifUFDAzxBCgR7IFxAK8mtQwwyEghqqnLdGoSBmLxTE/ISCAn6GEAr0QL6AUJBfgxpmIBTUUOW8NQoFMXuhIOYnFBTwM4RQoAfyBYSC/BrUMAOhoIYq561RKIjZCwUxP6GggJ8hhAI9kC8gFOTXoIYZCAU1VDlvjUJBzF4oiPkJBQX8DCEU6IF8AaEgvwY1zEAoqKHKeWsUCmL2QkHMTygo4GcIoUAP5AsIBfk1qGEGQkENVc5bo1AQsxcKYn5CQQE/QwgFeiBfQCjIr0ENMxAKaqhy3hqFgpi9UBDzEwoK+BlCKNAD+QJCQX4NapiBUFBDlfPWKBTE7IWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNkLBTE/oaCAnyGEAj2QLyAU5NeghhkIBTVUOW+NQkHMXiiI+QkFBfwMIRTogXwBoSC/BjXMQCioocp5axQKYvZCQcxPKCjgZwihQA/kCwgF+TWoYQZCQQ1VzlujUBCzFwpifkJBAT9DCAV6IF9AKMivQQ0zEApqqHLeGoWCmP2sQ8EjTz7bvPbzc82ZUycuUjh6/GTzxrm3LvresaNfbu6/+66d79174onmZ2df2/nnGw9ff8n+/R1fefX15vgDj16i/ObLp3e/d/79D2NVsDeBJQLtydqhQ4eaD377EScCkwkIBZPRGrgnIBRohykFhIKY7ixDwTPPv9Q8+PhTC0/q21Bw0xcO74aAPlG77w9//EJz9rkf7Hx72bbtz7tQ0A8BQ3KhINaE9l4uIBTokG0ICAXbUHYMoUAPTCkgFMR0ZxkKuiW3r/iff/f90SsFi0LBMAQMQ8KQUyiINZi94wJCQdzQCKsFhILVRraICwgFcUMjLBYQCmLdcWBDQf/2of6tQ7fe+Z3m29/8SvO1O760I7fqpH/s9qHhVQNXCmJNaG9XCvRAvoBQkF+DGmYgFNRQ5bw1CgUx+wMZCvok3Un9qYfva265+Uhzw23Hmu9/9xuXhIIXn36oue7aq1Zqtlca2q/+cwwffPj3K/ezAYFNBT75icsuPFPQNH/70T9uOoT9CCwV+Pjjj5tPXf57+kyfTC7g79nkxFUf4NMXnsHztbnAgQ8FLU3/lqG9XikY0o5dWfAA6OYNaM/VAp+8/LILGx1q/u6jf1i9sS0IbCDw8YX++tTlhy7876EL4VOfbUBolzUF/ikU6LM1uWy2R4FP/8Hle9zD5n2B6kLBXp8pWCcUuH3IL9WUAp4pmFLX2J2A24f0wjYE3D60DeV6j+H2oVjtD1woePud95rHfvST5rGT9+zIdO9U1N0etOrdh9q3OT195qdN99xA+zDzvd/66u6tRe2Vhi8e+fzu+O0xhIJYE9p7uYBQoEO2ISAUbEPZMYQCPTClgFAQ051lKOi/JWm3/O6Zgfbf2+cG+l/9n7XfX/Y5BcNQ0P17N97Y5xoIBbEmtLdQoAfyBYSC/BrUMAOhoIYq561RKIjZzzIUxJZcfm+hoLypEX8n4EqBbtiGgFCwDWXHEAr0wJQCQkFMVyiI+e3sLRQUQDTEQgGhQHNsQ0Ao2IayYwgFemBKAaEgpisUxPyEggJ+hlguIBTokG0ICAXbUHYMoUAPTCkgFMR0hYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcxeKIj5CQUF/AwhFOiBfAGhIL8GNcxAKKihynlrFApi9kJBzE8oKOBnCKFAD+QLCAX5NahhBkJBDVXOW6NQELMXCmJ+QkEBP0MIBXogX0AoyK9BDTMQCmqoct4ahYKYvVAQ8xMKCvgZQijQA/kCQkF+DWqYgVBQQ5Xz1igUxOyFgpifUFDAzxBCgR7IFxAK8mtQwwyEghqqnLdGoSBmLxTE/ISCAn6GEAr0QL6AUJBfgxpmIBTUUOW8NQoFMXuhIOYnFBTwM4RQoAfyBYSC/BrUMAOhoIYq561RKIjZCwUxP6GggJ8hhAI9kC8gFOTXoIYZCAU1VDlvjUJBzF4oiPkJBQX8DCEU6IF8AaEgvwY1zEAoqKHKeWsUCmL2QkHMTygo4GcIoUAP5AsIBfk1qGEGQkENVc5bo1AQsxcKYn5CQQE/QwgFeiBfQCjIr0ENMxAKaqhy3hqFgpi9UBDzEwoK+BlCKNAD+QJCQX4NapiBUFBDlfPWKBTE7IWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNkLBTE/oaCAnyGEAj2QLyAU5NeghhkIBTVUOW+NQkHMXiiI+QkFBfwMIRTogXwBoSC/BjXMQCioocp5axQKYvZCQcxPKCjgZwihQA/kCwgF+TWoYQZCQQ1VzlujUBCzFwpifkJBAT9DCAV6IF9AKMivQQ0zEApqqHLeGoWCmL1QEPMTCgr4GUIo0AP5AkJBfg1qmIFQUEOV89YoFMTshYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcx+o1Bww23H9nzUGw9f35w5dWLP+81hh/PvfziHaZrjTAXak7VDhw41H/z2o5muwLTnICAUzKFK85+jUDD/Gu7nFQgFsepsHArefPn02kd+5vmXmudffEUoWFvMhgR+JyAU6IZtCAgF21B2DKFAD0wpIBTEdIWCmN/O3q4UFEA0xEIBoUBzbENAKNiGsmMIBXpgSgGhIKYrFMT8hIICfoZYLiAU6JBtCAgF21B2DKFAD0wpIBTEdDcKBbFDHry9XSk4eDXdTysSCvZTNQ7uXISCg1vb/bQyoWA/VePgzUUoiNV0slDQPYy8l2cPYktZvfcjTz7bvPbzc5c823D0+MnmjXNvXTTAsaNfbu6/+66d79174onmZ2df2/nnsQemhYLV9rbYXEAo2NzOnusLCAXrW9lycwGhYHM7e64WEApWGy3bomgoaB8ofvDxp3aP9+LTDzXXXXtVbIYF9u7Pa+ykvg0FN33h8G4I6B+y3feHP36hOfvcD3a+PbatUFCgSIZYKCAUaI5tCAgF21B2DKFAD0wpIBTEdIuEgv4r6e10Tj18X3PLzUdiM5tg73ae5999f/RKwaJQMAwBw5DQTlMomKBYhtwVEAo0wzYEhIJtKDuGUKAHphQQCmK6oVDQ/7yC73/3G83X7vhS035vjqGgf/tQ/9ahW+/8TvPtb35lZ23t1yuvvt4cf+DRpn9blFAQa0J7LxcQCnTINgSEgm0oO4ZQoAemFBAKYrobh4JFzwzMMRT0CbuT/i7YtOvpAk8/FHS3Rh36q/8dq4C9CRAgQIAAAQIEwgIf//G/Do9R8wChUHDlFZ/Zvde+Q5x7KGjX0b9laNWVAqGg5l8faydAgAABAgT2i4BQEKvExqGgPWz/9qH+K+tzu31oSNgPBZ4piDWYveMCbh+KGxphtYDbh1Yb2SIu4PahuKERFgu4fSjWHaFQ0B16zg8av/3Oe81jP/pJ89jJe3aW071TUXd7kHcfijWYveMCQkHc0AirBYSC1Ua2iAsIBXFDIwgFU/VAkVDQTa7/1p9jtxZNtYhV4w7fKrXdvn81o3/FY/iz9t99TsEqYT+fUkAomFLX2J2AUKAXtiEgFGxDud5juFIQq33RUNCfyn788LIY1eK9vfvQVLLGbQWEAn2wDQGhYBvKjiEU6IEpBYSCmO5GoaA94d/LJxW3r9Q//+Irl3w+QGzq+2dvoWD/1OIgzkQoOIhV3X9rEgr2X00O4oyEgoNY1f2zJqEgVguhIOa3s7dQUADREAsFhALNsQ0BoWAbyo4hFOiBKQWEgpiuUBDzEwoK+BliuYBQoEO2ISAUbEPZMYQCPTClgFAQ0904FOz1sDcevt7tQ3tFsz2BCwJCgTbYhoBQsA1lxxAK9MCUAkJBTHejUBA75MHb2+1DB6+m+2lFQsF+qsbBnYtQcHBru59WJhTsp2ocvLkIBbGaCgUxv529hYICiIZYKCAUaI5tCAgF21B2DKFAD0wpIBTEdIWCmJ9QUMDPEMsFhAIdsg0BoWAbyo4hFOiBKQWEgpiuUBDzEwoK+BlCKNAD+QJCQX4NapiBUFBDlfPWKBTE7IWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNkLBTE/oaCAnyGEAj2QLyAU5NeghhkIBTVUOW+NQkHMXiiI+QkFBfwMIRTogXwBoSC/BjXMQCioocp5axQKYvZCQcxPKCjgZwihQA/kCwgF+TWoYQZCQQ1VzlujUBCzFwpifkJBAT9DCAV6IF9AKMivQQ0zEApqqHLeGoWCmL1QEPMTCgr4GUIo0AP5AkJBfg1qmIFQUEOV89YoFMTshYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcxeKIj5CQUF/AwhFOiBfAGhIL8GNcxAKKihynlrFApi9kJBzE8oKOBnCKFAD+QLCAX5NahhBkJBDVXOW6NQELMXCmJ+QkEBP6lcGpkAABRASURBVEMIBXogX0AoyK9BDTMQCmqoct4ahYKYvVAQ8xMKCvgZQijQA/kCQkF+DWqYgVBQQ5Xz1igUxOyFgpifUFDAzxBCgR7IFxAK8mtQwwyEghqqnLdGoSBmLxTE/ISCAn6GEAr0QL6AUJBfgxpmIBTUUOW8NQoFMXuhIOYnFBTwM4RQoAfyBYSC/BrUMAOhoIYq561RKIjZCwUxP6GggJ8hhAI9kC8gFOTXoIYZCAU1VDlvjUJBzF4oiPkJBQX8DCEU6IF8AaEgvwY1zEAoqKHKeWsUCmL2QkHMTygo4GcIoUAP5AsIBfk1qGEGQkENVc5bo1AQsxcKYn5CQQE/QwgFeiBfQCjIr0ENMxAKaqhy3hqFgpi9UBDzEwoK+BlCKNAD+QJCQX4NapiBUFBDlfPWKBTE7IWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNnPOhQ88uSzzWs/P9ecOXViocKtd36nufpzV1y0zdHjJ5s3zr21s8+Nh69fuv8rr77eHH/g0UvGf/Pl07vfO//+h7Eq2JvAEoH2ZO3QoUPNB7/9iBOByQSEgsloDdwTEAq0w5QCQkFMd5ah4JnnX2oefPyplSf1bSBov/qh4N4TTzTn331/Nwi023zxyOebx07eMyrZhYJ+CBhuKBTEmtDeywWEAh2yDQGhYBvKjiEU6IEpBYSCmO4sQ0G35OEJfp+ivRpwx+23NH/9N7+86GrCDbcda049fF9zy81HdjZvA8YPf/xCc/a5HwgFsV6y90QCQsFEsIa9SEAo0BDbEBAKtqFc7zGEgljtD2QoaAPBTV843Nx/913N8BajYShYdSVg7Pah4VUDVwpiTWhvVwr0QL6AUJBfgxpmIBTUUOW8NQoFMfsDFwraqwftV3c70DAUtIHhmqs/u/vzVaFgyNvu3371n2P44MO/j1XB3gSWCHzyE5ddeKagaf72o3/kRGASgY8//rj51OW/p88m0TVoX8DfM/0wpcCnLzyD52tzgQMXCtpnBH71699cInLlFZ/ZvUWovVrQ/+r/bBXlWIjwAOgqNT+PCHzy8ssu7H6o+buP/iEyjH0JLBT4+EJ/feryQxf+99CF8KnPtMp0Av8UCvTZdMJ1j/zpP7i8boDg6g9cKBh6rHqHovbn59/91cIHjYfjjYUCtw8Fu9DuSwU8U6BBtiHg9qFtKDuG24f0wJQCbh+K6VYdCroT/Beffqi57tqrdiTbkHD6zE+b7rmB9nake7/11d2fj71bkVAQa0J7LxcQCnTINgSEgm0oO4ZQoAemFBAKYrqzDAX9tyTtlt9/R6E+yfBKwfDB4eFDw8NQ0P17N+bY5xoIBbEmtLdQoAfyBYSC/BrUMAOhoIYq561RKIjZzzIUxJZcfm+hoLypEX8n4EqBbtiGgFCwDWXHEAr0wJQCQkFMVyiI+e3sLRQUQDTEQgGhQHNsQ0Ao2IayYwgFemBKAaEgpisUxPyEggJ+hlguIBTokG0ICAXbUHYMoUAPTCkgFMR0hYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcxeKIj5CQUF/AwhFOiBfAGhIL8GNcxAKKihynlrFApi9kJBzE8oKOBnCKFAD+QLCAX5NahhBkJBDVXOW6NQELMXCmJ+QkEBP0MIBXogX0AoyK9BDTMQCmqoct4ahYKYvVAQ8xMKCvgZQijQA/kCQkF+DWqYgVBQQ5Xz1igUxOyFgpifUFDAzxBCgR7IFxAK8mtQwwyEghqqnLdGoSBmLxTE/ISCAn6GEAr0QL6AUJBfgxpmIBTUUOW8NQoFMXuhIOYnFBTwM4RQoAfyBYSC/BrUMAOhoIYq561RKIjZCwUxP6GggJ8hhAI9kC8gFOTXoIYZCAU1VDlvjUJBzF4oiPkJBQX8DCEU6IF8AaEgvwY1zEAoqKHKeWsUCmL2QkHMTygo4GcIoUAP5AsIBfk1qGEGQkENVc5bo1AQsxcKYn5CQQE/QwgFeiBfQCjIr0ENMxAKaqhy3hqFgpi9UBDzEwoK+BlCKNAD+QJCQX4NapiBUFBDlfPWKBTE7IWCmJ9QUMDPEEKBHsgXEArya1DDDISCGqqct0ahIGYvFMT8hIICfoYQCvRAvoBQkF+DGmYgFNRQ5bw1CgUxe6Eg5icUFPAzhFCgB/IFhIL8GtQwA6GghirnrVEoiNkLBTE/oaCAnyGEAj2QLyAU5NeghhkIBTVUOW+NQkHMXiiI+QkFBfwMIRTogXwBoSC/BjXMQCioocp5axQKYvZCQcxPKCjgZwihQA/kCwgF+TWoYQZCQQ1VzlujUBCzFwpifkJBAT9DCAV6IF9AKMivQQ0zEApqqHLeGoWCmL1QEPMTCgr4GUIo0AP5AkJBfg1qmIFQUEOV89YoFMTshYKYn1BQwM8QQoEeyBcQCvJrUMMMhIIaqpy3RqEgZi8UxPyEggJ+hhAK9EC+gFCQX4MaZiAU1FDlvDUKBTF7oSDmJxQU8DOEUKAH8gWEgvwa1DADoaCGKuetUSiI2QsFMT+hoICfIYQCPZAvIBTk16CGGQgFNVQ5b41CQcxeKIj5CQUF/AwhFOiBfAGhIL8GNcxAKKihynlrFApi9kJBzE8oKOBnCKFAD+QLCAX5NahhBkJBDVXOW6NQELMXCmJ+QkEBP0MIBXogX0AoyK9BDTMQCmqoct4ahYKYvVAQ8xMKCvgZQijQA/kCQkF+DWqYgVBQQ5Xz1igUxOyFgpifUFDAzxBCgR7IFxAK8mtQwwyEghqqnLdGoSBmX1UoeOTJZ5vXfn6uOXPqxEK1W+/8TnP15664aJujx082b5x7a2efGw9ff8n+59//MFYFexNYItCerB06dKj54LcfcSIwmYBQMBmtgXsCQoF2mFJAKIjpVhEKnnn+pebBx59aeFLfEbaBoP3qh4J7TzzRnH/3/d0g0G7zxSOfbx47ec+uvFAQa0J7LxcQCnTINgSEgm0oO4ZQoAemFBAKYrpVhIKOaHiC36drrwbccfstzV//zS8vuppww23HmlMP39fccvORnc3bgPHDH7/QnH3uB0JBrPfsvaaAULAmlM1CAkJBiM/OawoIBWtC2WwjAaFgI7bdnYSCCxRtILjpC4eb++++qxneYjQMBa+8+npz/IFHmzdfPi0UxHrP3msKCAVrQtksJCAUhPjsvKaAULAmlM02EhAKNmITCjqB9upB+9XdDjQMBW1guObqz+7+XCiINZy99y4gFOzdzB57FxAK9m5mj70LCAV7N7PH+gJCwfpWY1tWf6WgfUbgV7/+zSU2V17xmd1bhNqrBf2v/s9i/PYmQIAAAQIECBAgkC9QfSgYlmDVOxS1Pz//7q8uetA4v4xmQIAAAQIECBAgQGBzAaFgYLcsFHS3Dr349EPNdddetbm6PQkQIECAAAECBAjsI4EqQkH/LUk7+/47CvXrMQwFXRDotuk/YLyP6mgqBAgQIECAAAECBDYWqCIUbKyzZMf2AeWfnX1tZ4uxDzSb4pjGPPgCw+dX2hX3A2z/GZhjR7+8845ZvgisKzB8N7Vuv2V/z95+573m9q9/b/cQi15QWXcOtjv4AmN9NnyBbeyFNn/fDn5vWOH+FhAKNqjP8LMK+m9pusFwdiGwK7DopK3dYPhOWcu2RUqgL9A/2Rqe1K/6e9bu++1vfqX52h1fasbefY00gU5gWZ+t6h1/3/QRgXwBoWCDGgxDwNgHmm0wrF0INMtO9Ic/G/5HFB+BZQLdK/7DULDs79nYiVw/JBAnMBRY1GerQoG/b3qJQL6AULBBDYb/UVz1x26DQ9ilUoHh7UPdCVz3H9r+Q+6r3imrUkLLXiCw6GRt2d+zsRc8XBnVYpuEz7Hbh7pn9Px901ME9oeAULBBHdoTt+9/9xs7l9PbL+9KtAGiXVYKtCf9p8/8dOfTs8d6rP35n/7ZX+x+nsbKAW1QtcCiULDs79mZF/78kh4bfqBj1agWf4nAoj4bbtj2Uft15tQJf9/0EYF9IiAUbFAIVwo2QLPLRgLdJfXrrv2jnYc9XSnYiNFOFwRcKdAG2xBYNxT0r7C7UrCNyjgGgdUCQsFqo0u28EzBBmh22Uigf5+te243IrTT/xfwTIFW2IbAJqGgnZe/b9uojmMQWC4gFGzQIaverWODIe1CoGn7qv3qbktrHyT+y9d/sXt7kHfn0CQRgUUna6v+nnn3oYh6ffsu6rP279e93/rq7gd/tn31xSOfbx47ec8Okr9v9fWKFe8/AaFgw5r4nIIN4ey2UGDZg3jdTt7HWwNtItDvm3b/4Wer+JyCTVTtMxRY1mfdM1LdPmOf7+Pvm54ikCsgFOT6OzoBAgQIECBAgACBdAGhIL0EJkCAAAECBAgQIEAgV0AoyPV3dAIECBAgQIAAAQLpAkJBeglMgAABAgQIECBAgECugFCQ6+/oBAgQIECAAAECBNIFhIL0EpgAAQIECBAgQIAAgVwBoSDX39EJECBAgAABAgQIpAsIBeklMAECBAgQIECAAAECuQJCQa6/oxMgQIAAAQIECBBIFxAK0ktgAgQIECBAgAABAgRyBYSCXH9HJ0CAAAECBAgQIJAuIBSkl8AECBAgQIAAAQIECOQKCAW5/o5OgAABAgQIECBAIF1AKEgvgQkQIECAAAECBAgQyBUQCnL9HZ0AAQIECBAgQIBAuoBQkF4CEyBAgAABAgQIECCQKyAU5Po7OgECBAgQIECAAIF0AaEgvQQmQIAAgYMj8MiTzzZ/+md/0Zx97gcHZ1FWQoAAgQoEhIIKimyJBAjkC9x653eaX/36N5dM5M2XT+9+794TTzR/+fovZn1CLRTk95oZECBAYBMBoWATNfsQIEBgjwJtKPiP/+HfNvfffdfunkePn2ze/eWvZx0ChgxCwR4bw+YECBDYJwJCwT4phGkQIHCwBcZCwfAEetG/f/ubX2kefPypXaD+1YUxtTZsXHP1Z3d+9LOzr+38/42Hr2/OnDqx889vv/Nec/vXv9ecevi+5pabj+wOccNtx5rvf/cbzdfu+NLO97p/7x/72NEvN0e/8u939u+++vt0a2gD0OkzP10453a7/s/Hxuivu//zg90pVkeAAIEcAaEgx91RCRCoTGAsFAy/NxYK2hPnP7n1puaxk/fsiLUn/O1Xd4I/xthu88a5ty45wW9P6NsrFXsJBe34XQh55vmXdsLJlVd8ZvfqRve9bpvuZL871tich+sczqcbo7/uytrFcgkQILB1AaFg6+QOSIBAjQKLnikYe4W8e0h37Fac9iT8hz9+YektR92Vgi5ItN7t8wrtV/u9vYSC/vzG9uu+9+LTDzXXXXtVMzbnV159vTn+wKNNt017BaL7564X+vNzC1KNvyHWTIBAtoBQkF0BxydAoAqBsSsF3Ql196r6qtuJWqjhK/NjeItCwfl339+5wjBFKOhuRRo7oe8fr51vGxDGvrpbnISCKn4lLJIAgX0mIBTss4KYDgECB1NgLBS0K21fIe9O1msKBcMrBf2qCwUH83fAqggQ2N8CQsH+ro/ZESBwQAT2UyhoSdtbeNZ90Lh78HjZ7UPLrhR0tw91zx0MH2gellgoOCBNbxkECMxKQCiYVblMlgCBuQqMhYLuZLm7b39bVwpaw3Y+Xzzy+d0HmNsrFu07FY29+1A0FCw6Vv9qQWvxP//X2Z35CAVz7XLzJkBgzgJCwZyrZ+4ECMxGYNGDxv1X67cZCrpX/TvANgy07yxUKhT0P6ht7F2Ehm9J2s5j2dWG2RTaRAkQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBISCUpLGIUCAAAECBAgQIDBTAaFgpoUzbQIECBAgQIAAAQKlBP4fJ7HzfBlsB7QAAAAASUVORK5CYII=",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the system state so far\n",
"bio.visualize_system(title_prefix=\"Diffusion\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d0e84286-b052-4097-afc7-2d28739e4084",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"colorbar": {
"len": 1.2,
"title": {
"text": "Conc."
},
"x": 1.02,
"y": 0.5
},
"colorscale": [
[
0,
"rgb(254, 254, 253)"
],
[
0.09090909090909091,
"rgb(224, 224, 223)"
],
[
0.18181818181818182,
"rgb(197, 197, 195)"
],
[
0.2727272727272727,
"rgb(171, 171, 170)"
],
[
0.36363636363636365,
"rgb(146, 146, 145)"
],
[
0.45454545454545453,
"rgb(124, 123, 122)"
],
[
0.5454545454545454,
"rgb(102, 101, 101)"
],
[
0.6363636363636364,
"rgb(81, 80, 80)"
],
[
0.7272727272727273,
"rgb(59, 59, 59)"
],
[
0.8181818181818182,
"rgb(38, 38, 38)"
],
[
0.9090909090909091,
"rgb(16, 16, 16)"
],
[
1,
"rgb(0, 0, 0)"
]
],
"hovertemplate": "Conc.: %{z}
Bin #: %{x}
CHEM: %{y}A",
"type": "heatmap",
"xaxis": "x",
"xgap": 0,
"y": [
"A"
],
"yaxis": "y",
"ygap": 2,
"z": [
[
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150
]
]
}
],
"layout": {
"autosize": true,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Diffusion
System snapshot at time t=0"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
199.5
],
"title": {
"text": "Bin number"
}
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
0.5
],
"type": "category"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Show as heatmap\n",
"bio.system_heatmaps(title_prefix=\"Diffusion\")"
]
},
{
"cell_type": "markdown",
"id": "4ecbe3fb-93dd-4fe5-bda6-b39a7deebf64",
"metadata": {},
"source": [
"# Start the simulation steps"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "972cbe64",
"metadata": {},
"outputs": [],
"source": [
"delta_time = 1."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "ace251be",
"metadata": {
"lines_to_next_cell": 2,
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Repeatedly injecting 2 at bin 0 and draining it at 199\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
151.43337578160305,
151.29374164069523,
151.05828312079765,
150.79124877314385,
150.54775693045923,
150.35672679109342,
150.22189112462647,
150.13307700925236,
150.07704272026814,
150.0428461697107,
150.02275172130163,
150.01148965426424,
150.00550783086857,
150.00250251391756,
150.00107480107425,
150.00043451236166,
150.00016446106991,
150.00005792427353,
150.00001886108674,
150.00000563922688,
150.00000153695274,
150.00000037876725,
150.0000000836046,
150.0000000163366,
150.00000000278413,
150.00000000040575,
150.0000000000492,
150.00000000000477,
150.00000000000034,
150.00000000000003,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
150,
149.99999999999997,
149.99999999999966,
149.99999999999523,
149.9999999999508,
149.99999999959425,
149.99999999721587,
149.9999999836634,
149.9999999163954,
149.99999962123275,
149.99999846304726,
149.99999436077312,
149.99998113891326,
149.99994207572647,
149.99983553893009,
149.99956548763834,
149.99892519892575,
149.99749748608244,
149.99449216913143,
149.98851034573576,
149.97724827869837,
149.9571538302893,
149.92295727973186,
149.86692299074764,
149.77810887537353,
149.64327320890658,
149.45224306954077,
149.20875122685615,
148.94171687920235,
148.70625835930477,
148.56662421839695
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=3"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
148.4073602426633,
151.5926397573367
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
189.8669791301455,
189.62056318021212,
189.17653653423775,
188.60849709342395,
187.98411636777092,
187.3466409798694,
186.7144587286233,
186.0911464334409,
185.4754383740629,
184.86614181334323,
184.26296798212866,
183.66599539262978,
183.07528611107364,
182.49083344439154,
181.91260869539923,
181.3405851309558,
180.77473859321913,
180.21504423982947,
179.66147540554954,
179.11400366364762,
178.57259902133478,
178.0372299883134,
177.50786357926182,
176.9844653119027,
176.46699921380034,
175.95542783324598,
175.4497122505945,
174.94981208946064,
174.45568552810607,
173.9672893112171,
173.4845787620885,
173.00750779518506,
172.5360289290625,
172.07009329964052,
171.60965067382315,
171.1546494634599,
170.70503673964032,
170.26075824731606,
169.82175842024193,
169.3879803962299,
168.9593660327082,
168.5358559225788,
168.11738941036546,
167.70390460864544,
167.29533841475754,
166.89162652777887,
166.49270346576344,
166.0985025832349,
165.7089560889264,
165.32399506376012,
164.94354947905947,
164.5675482149867,
164.1959190791985,
163.82858882571313,
163.46548317398157,
163.10652682815598,
162.7516434965485,
162.40075591127396,
162.05378584806934,
161.71065414628384,
161.3712807290329,
161.03558462350972,
160.70348398144841,
160.37489609973227,
160.04973744114116,
159.7279236552327,
159.40936959935055,
159.09398935975526,
158.78169627287107,
158.47240294664445,
158.16602128200822,
157.8624624944467,
157.5616371356568,
157.2634551153002,
156.96782572284204,
156.6746576494716,
156.38385901010065,
156.09533736543483,
155.80899974411452,
155.52475266492084,
155.24250215904308,
154.96215379240368,
154.68361268803739,
154.4067835485209,
154.13157067844986,
153.85787800695965,
153.58560911028718,
153.3146672343704,
153.04495531748285,
152.77637601289993,
152.50883171159492,
152.24222456496113,
151.9764565075586,
151.71142927988197,
151.44704445114758,
151.1832034420974,
150.9198075478171,
150.6567579605663,
150.3939557926187,
150.1313020991099,
149.8686979008902,
149.6060442073814,
149.3432420394338,
149.08019245218298,
148.81679655790268,
148.5529555488525,
148.28857072011812,
148.0235434924415,
147.75777543503895,
147.49116828840516,
147.22362398710015,
146.95504468251727,
146.68533276562974,
146.41439088971296,
146.1421219930405,
145.86842932155028,
145.59321645147926,
145.31638731196279,
145.03784620759652,
144.75749784095711,
144.47524733507936,
144.1910002558857,
143.9046626345654,
143.61614098989958,
143.32534235052862,
143.0321742771582,
142.73654488470004,
142.43836286434345,
142.13753750555355,
141.83397871799207,
141.52759705335586,
141.21830372712924,
140.90601064024506,
140.59063040064976,
140.27207634476764,
139.95026255885915,
139.6251039002681,
139.29651601855196,
138.96441537649068,
138.6287192709675,
138.28934585371655,
137.94621415193106,
137.59924408872646,
137.24835650345193,
136.89347317184448,
136.53451682601892,
136.17141117428736,
135.80408092080202,
135.43245178501382,
135.05645052094104,
134.67600493624042,
134.29104391107415,
133.90149741676566,
133.50729653423716,
133.10837347222176,
132.70466158524312,
132.29609539135524,
131.88261058963522,
131.4641440774219,
131.0406339672925,
130.61201960377085,
130.17824157975883,
129.73924175268473,
129.2949632603605,
128.845350536541,
128.39034932617773,
127.92990670036042,
127.46397107093846,
126.9924922048159,
126.51542123791252,
126.03271068878395,
125.54431447189498,
125.05018791054044,
124.55028774940659,
124.04457216675515,
123.5330007862008,
123.01553468809844,
122.49213642073936,
121.96277001168775,
121.4274009786664,
120.88599633635356,
120.33852459445167,
119.78495576017174,
119.22526140678211,
118.65941486904545,
118.08739130460201,
117.50916655560971,
116.92471388892766,
116.33400460737148,
115.73703201787262,
115.13385818665805,
114.52456162593838,
113.90885356656035,
113.28554127137798,
112.65335902013187,
112.01588363223036,
111.39150290657734,
110.82346346576352,
110.37943681978918,
110.13302086985577
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=1001"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
105.7033565220619,
194.29664347793937
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
203.33945718438923,
203.0897021463649,
202.63899818128462,
202.06094490421648,
201.42321639524798,
200.76906270242284,
200.11687590432555,
199.47023795285105,
198.82788911132965,
198.18864347532488,
197.55221995525068,
196.91870558720368,
196.28817180280205,
195.66062211278728,
195.03603885884772,
194.41440717815414,
193.7957156107271,
193.17995283547077,
192.56710652740577,
191.95716341438987,
191.35010946764208,
190.74592996513093,
190.14460948865536,
189.54613191627092,
188.95048042320923,
188.35763748665622,
187.76758489075527,
187.18030373124913,
186.59577442009655,
186.01397669026815,
185.43488960074248,
184.8584915416784,
184.28476023975114,
183.7136727636503,
183.1452055297393,
182.57933430787648,
182.01603422739527,
181.4552797832428,
180.89704484227482,
180.34130264970574,
179.7880258357117,
179.23718642218586,
178.68875582964333,
178.14270488427456,
177.59900382514556,
177.05762231154262,
176.51852943046018,
175.98169370422994,
175.44708309828908,
174.91466502908597,
174.38440637212116,
173.85627347012186,
173.33023214134786,
172.80624768802656,
172.28428490491552,
171.76430808798995,
171.24628104325333,
170.73016709566883,
170.2159290982091,
169.70352944102282,
169.19293006071507,
168.68409244973967,
168.1769776659008,
167.6715463419622,
167.16775869536062,
166.6655745380221,
166.16495328627795,
165.66585397087826,
165.16823524710068,
164.6720554049514,
164.17727237945647,
163.6838437610404,
163.19172680598982,
162.70087844699944,
162.2112553037978,
161.72281369384996,
161.23550964313506,
160.74929889699536,
160.2641369310545,
159.77997896220248,
159.29677995964394,
158.814494656008,
158.33307755851604,
157.85248296020492,
157.3726649512035,
156.89357743005854,
156.41517411510827,
155.93740855590005,
155.46023414464975,
154.98360412774005,
154.5074716172543,
154.0317896025438,
153.55651096182507,
153.08158847380477,
152.6069748293289,
152.1326226430537,
151.6584844651355,
151.1845127929361,
150.71066008274155,
150.23687876149077,
149.76312123851153,
149.28933991726075,
148.8154872070662,
148.34151553486683,
147.86737735694862,
147.39302517067344,
146.91841152619756,
146.44348903817726,
145.96821039745853,
145.49252838274805,
145.0163958722623,
144.5397658553526,
144.06259144410234,
143.58482588489412,
143.10642256994387,
142.62733504879895,
142.14751703979755,
141.66692244148646,
141.1855053439945,
140.7032200403586,
140.22002103780008,
139.73586306894808,
139.25070110300726,
138.76449035686755,
138.2771863061527,
137.78874469620487,
137.29912155300323,
136.80827319401288,
136.31615623896232,
135.8227276205463,
135.32794459505138,
134.83176475290213,
134.33414602912458,
133.83504671372495,
133.33442546198083,
132.83224130464234,
132.3284536580408,
131.8230223341022,
131.31590755026338,
130.807069939288,
130.2964705589803,
129.78407090179408,
129.2698329043344,
128.75371895674994,
128.2356919120134,
127.71571509508787,
127.19375231197687,
126.66976785865562,
126.14372652988166,
125.61559362788242,
125.08533497091764,
124.55291690171457,
124.01830629577374,
123.48147056954353,
122.94237768846114,
122.40099617485822,
121.85729511572927,
121.31124417036055,
120.76281357781804,
120.21197416429223,
119.65869735029824,
119.10295515772918,
118.54472021676125,
117.98396577260883,
117.42066569212764,
116.85479447026485,
116.28632723635388,
115.71523976025306,
115.14150845832583,
114.56511039926175,
113.9860233097361,
113.40422557990772,
112.81969626875515,
112.23241510924903,
111.64236251334812,
111.04951957679515,
110.45386808373347,
109.855390511349,
109.25407003487345,
108.6498905323623,
108.04283658561455,
107.43289347259865,
106.82004716453363,
106.20428438927733,
105.58559282185027,
104.9639611411567,
104.33937788721714,
103.71182819720237,
103.08129441280074,
102.44778004475374,
101.81135652467954,
101.17211088867478,
100.52976204715338,
99.88312409567888,
99.23093729758158,
98.57678360475644,
97.93905509578792,
97.36100181871979,
96.91029785363948,
96.66054281561514
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2001"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
90.73393646179436,
209.26606353821
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAg0AAAFoCAYAAADUycjgAAAgAElEQVR4Xu2dC5RlVXmgd3dVdXdV16sf0AgOxvGBGSAaQkgcycBIdDAIAhGbh42NmjQEMoAEHLNci2HGmQwQgmQI0BjlJUIrEkQMCMHQTmeZQXwFSEDjYDBgo/2od1fXo3v+fat2cfr0uffuc/59d91b5ztruaSr9v7POd/edc93/7Mfi/bKYTggAAEIQAACEIBAHQKLkAb6CAQgAAEIQAACPgSQBh9KlIEABCAAAQhAwCANdAIIQAACEIAABLwIIA1emCgEAQhAAAIQgADSQB+AAAQgAAEIQMCLANLghYlCEIAABCAAAQggDfQBCEAAAhCAAAS8CCANXpgoBAEIQAACEIAA0kAfgAAEIAABCEDAiwDS4IWJQhCAAAQgAAEIIA30AQhAAAIQgAAEvAggDV6YKAQBCEAAAhCAANJAH4AABCAAAQhAwIsA0uCFiUIQgAAEIAABCCAN9AEIQAACEIAABLwIIA1emCgEAQhAAAIQgADSQB+AAAQgAAEIQMCLANLghYlCEIAABCAAAQggDfQBCEAAAhCAAAS8CCANXpgoBAEIQAACEIAA0kAfgAAEIAABCEDAiwDS4IWJQhCAAAQgAAEIIA30AQhAAAIQgAAEvAggDV6YKAQBCEAAAhCAANJAH4AABCAAAQhAwIsA0uCFiUIQgAAEIAABCCAN9AEIQAACEIAABLwIIA1emCgEAQhAAAIQgADSQB+AAAQgAAEIQMCLANLghYlCEIAABCAAAQggDfQBCEAAAhCAAAS8CCANXpgoBAEIQAACEIAA0kAfgAAEIAABCEDAiwDS4IWJQhCAAAQgAAEIIA30AQhAAAIQgAAEvAggDV6YKAQBCEAAAhCAANJAHwhCYMuTT5sNV1xnPnnJOnPWqScEiUkQCEAAAhBoLgLzIg3X3nyvuX3TI/uR2HjNZebYY45sCKHDj19v3n3c0eb6qy5qSPyyB22ENDQipmsn1wcfvvtqc+gha7yab+2Gq8zWX+wwm++/YZ/yL770innPOR83Rxz2erNp45VesWIUqna92nMfd/rFZtuOwX3CPPvE7Zlh03/rq1f27cfPVbTX+8zzL8zFqff36rg38nNDy4r6EFhoBKJLg/vASX9Yuw+MRn1TRRoa23Ub8YBvREykQdcP3N9vUhLc3276b/rSK280j25+yiR/Xk1kbFx7JIWs3t+sOy/SoGtTakMgD4Go0uC+dVT7I7cPiZ++/POGpLfrfQDlgUbZ/Qk04gHfiJiNkIZm7Q+NyDRYEUhn69w3/mRmwP1s/doTzeUXnDmHyP08+eXgngceN5/69F0m/bngfp6WEfu3nDyQhmbtgVzXQiQwL9LgkxLO+uaRTmMmv+2kU6bJNGj6Q8bGSadJ3bcid450qjn5AHvg4S37pFHdh1b6Gnzu050vfX7786xvaHf97z+upMLdkZXuzUofZ5VzDxWfmO4DPPlHkPzgT/J58nv/VPmG6Y5q2aN0u2TFS//R1UtZZ12njZGMXe31WK0sVzp17q7LtVFaSkP1F/eQzfuQrHe9oT/M0vdfTQTseW3/POiAlXOvclzfT7/iqCYe7tprnSP0/REPAhCYIRBVGtwfuc+7X1c2/UGe9e3TfmAlY2Z986mVachKuaalxZ3XQkt+s0k+7LN+Xu1db7IDug/4tATZMi5d68qkH/5Z92Wv/X/8l4/uMz4kS8JqxUzyzMoQpVPPST5ZD+ikALmyyW+htX6W55WV7TdW6pJjC7L6UsgxDbadqkmDpr+4605yqvZ3kfWBVivTUE2c0nHSmYKs82S1XS2+6euqdZ21/m6RBh5jEIhPIKo02NvL+kZtf571cE1/I3H1v/v0j+YeprVS2PaDy6VGq334VPtwS6dRq52nXmrVJ3Va69rc9Vf7YK32LS3dlbJSvdVipu+pVrl3/PoRlYGE1fhkfVusFi/dFiFfT9i+dNSRb5pLrceShrTw5Okv1fqFbfPk30C1j41GvJ7IOlfWOKWs8Qyubvq6amUVkYb4DwXOCIFaBKJLg7uY5DfT5AUmv5FmfbDbD5Hkt59k+rbWA7rah0+9bznuXNUeYHl/XutDt9a3urzS4DNDpd5sAHc97gFQK0OURxqqtUU6hkYasl5JZWVP8rxCqtdXkq9O8vaLPPfu2rZeFiuGNLi+ke67SAMPHggsTALzJg1pnO5DM/1gSj5gqn1YZr33TWcvqj2ost7/J6/NPQi0D4F63SfrOpIS5CsNSRbJB2LWN1xfaaiWIcp6vZD+Zp3ONNR6T51OcxeRBvewSo99SGet5ivT4NuPqo3NqCbY8/F6opow2Gvh9US9v3h+D4HWJNA00mDxZaUpk6KQTjFXQ541dqJWpsHGqTe/3vfDPp1JyfM+3tVNPvjdt0lfaaj2YZ1HGnwe1k5ynNg0S6ahlhwmB981uzQ4nj6vt6r9HTQy01BLGOz1MBCyNR8IXDUE6hGIKg1Z07WSF5j1gZ8c1Jie8+0+nP7NwQfutyhU1nvT5Dttd17fh0ejpMHe36YH/3afaWlZ39R8paHaGIc80pBmktVuvul0zZiGrOl5tTp0rSxGOtNQbTpfrfi1xhLUmj2RXCEzTz/SThP2HftQ70Mi/XufNVUaOeXSXQ8DIfO2HOUhoCcQXRrsgz/r3Xi1RZ/sLVZLOSe/0WSNc0imqGsNGMyaPeHOe8yv/nJl3Yg8H/a2rs+3dVuu2mqC6ayLrzRkja5PprrTrzzsCnzJd+NZI+Gz+FSbPVHv9USSTdYYgPS78azBsLW6fVa2yl1/1gwbn9kBPg+pRkhD1uwJ12fW/eH/rLqyos/1Fv3oqPV3mo7Z6MWdkIairUg9CBQnEFUakg/59CXXmn9f78Mha9Bf1sMgOW6g3joN7vrcA7VR0pB8iCaZpMXKVxqyGFu2Vn7SC+i4mOklgbNeqWQNLMySDR9pcPdZa50GVyY9XqXeOg22XtZ6GfYhm3w9kcXJ51VSevaPzzoNRTMNSalM/734yk616y3ykVFt7FAyVvp1SiOWkc7qi/Yaai1RXeR+qQMBCOxPILo0FGmEvN82i5yjjHUa+c67jDy5ZwhAAAILnUDTS0OexWwWemOFvj+kITRR4kEAAhBY2ASaXhpqLfyysJum8XeHNDSeMWeAAAQgsJAINL00LCTY3AsEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0tHLrce0QgAAEIACBiASQhoiwORUEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0tHLrce0QgAAEIACBiASQhoiwORUEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0tHLrce0QgAAEIACBiASQhoiwORUEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0tHLrce0QgAAEIACBiASQhoiwORUEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0tHLrce0QgAAEIACBiASQhoiwORUEIAABCECglQkgDa3celw7BCAAAQhAICIBpCEibE4FAQhAAAIQaGUCSEMrtx7XDgEIQAACEIhIAGmICJtTQQACEIAABFqZANLQyq3HtUMAAhCAAAQiEkAaIsLmVBCAAAQgAIFWJoA0BGi9l7fvChCFEPUIHNC31AyMTprJqT31ivJ7JYHFi4w5cEWn2bqDvq1E6VW9a2mbWdLRZgZGJrzKU6g4gYNXdRavTE2DNAToBEhDAIgeIZAGD0iBiiANgUB6hkEaPEEFKIY06CAiDTp+ldpIQwCIHiGQBg9IgYogDYFAeoZBGjxBBSiGNOggIg06fkhDAH6+IZAGX1L6ckiDnmGeCEhDHlq6skiDjh/SoOOHNATg5xsCafAlpS+HNOgZ5omANOShpSuLNOj4IQ06fkhDAH6+IZAGX1L6ckiDnmGeCEhDHlq6skiDjh/SoOOHNATg5xsCafAlpS+HNOgZ5omANOShpSuLNOj4IQ06fkhDAH6+IZAGX1L6ckiDnmGeCEhDHlq6skiDjh/SoONnjn7uR2bNojbzH5Z1md+S//1Se4cyItWrEUAa4vUNpCEea3smpCEeb6RBx7oU0nDplTeaRzc/NUdq/doTzeUXnDn37xdfesW855yPz/174zWXmWOPOXLu38n6Rxz2erNp45Vzv1v0vX/YpwWOWdJp/uvKA8xblyzVtQy19yOANMTrFEhDPNZIQ1zWSIOOdymkYe2Gq+Ye9E4QkmJw3OkXm/PPPcWcdeoJZsuTT5sNV1xnnn3i9grZex543Nxy54Nm8/03VP5tYx39tsPmpOOfd0+Yu3+23fzNrhGzZfzV1fPeKVmHy/tXm19BHnQ9NFEbaQiGsm4gpKEuoqAFyDQExVkzGNKgY10KaUgjqiUJtmzy92lJSEuELe8Wd3p5esrcOTRg7hodNAN7ZpY6/k+dy80VK1abt7Qv0bUUtQ3SEK8TIA3xWJNpiMsaadDxLqU0HH78euMyDVkSkBSFpEBY1OlMRFIaXFMM791rPjO809w6uMPY/5Zl/M1Jnd0VeXgDYx4K91ikoTC63BWRhtzIVBXINKjw5aqMNOTCtV/h0kmDHZ/w8tbtc68rrr35XvPQY9+ae/1gCVlpOPigVeb6qy4yVjA+ecm6yquLpDQ8fPfV5tBD1lR+NjQ2mdkKg3umzQ3bt5tbdu40o3v3mMVS6v09veYTBxxo/m0HAybzdt3uZe1m18S0md6zN29VyuckYEW3u6vDDFfp2znDUbwOgY72xaZ98WLp31OwajCBXunXHMUJlEoarDB89+kf7SMIITINI7tq/6Fvn542f7Ztm/nMwA6zSzIP7dJeZ/X1mT9evca8tsP+i8OHQKfsBLh7co/ZgzT44FKVWSTW0LW03YyO8xBTgfSs3NG2yCyW/+2eYAdXT2SFi3V38plbGJ5ULI00ZAmDBZf1uqHomIZ6DbHNZh5EHD4/MmgmzKw8dPeZj/WtMge2tdWrXvrf83oiXhfg9UQ81vZMvJ6Ix5vXEzrWpZAG+7rBHsmpkklsmtkTNk7eXS63yoDJ6we3m3tHhoz9HrdERj18UOTh4v6VZvVi5KFal0YadH/seWojDXlo6csiDXqGvhGQBl9S2eUWvDSk12BwGFav7Jt7TaFZp6GINLhreGlqylw3sM3cNzZspuWHnSIP63v6zEWSeeiX95sc+xJAGuL1CKQhHmsyDXFZIw063gteGnR4/GrnzTSko/5katL8qcjDV8ZGjH2juXzRYvMRkYcLeleaXuRhDhfS4NcfQ5RCGkJQ9I9BpsGflbYk0qAjiDTo+FVqa6XBXcKPRR6u3rnN/LUsFGXnB/TIaLTz+1aa3+vpr4hE2Q+kIV4PQBrisSbTEJc10qDjjTTo+AWVBncpz01NmP8l8vDYrtHKj1ZItuEPJOtwnmQfOkssD0hDgM7qGQJp8AQVqBiZhkAgPcIgDR6QahRBGnT8GiIN7pKemdxt/mTHNvPE7rHKj+wgyYsk8/AhkQc7eLJsB9IQr8WRhnisyTTEZY006HgjDTp+DZUGd2nf3T1u/rtkHp6cmNnbYo1Mz7xYBkuevbzXdNgJ9SU5kIZ4DY00xGONNMRljTToeCMNOn5RpMFd4t/JhljXyIDJpybGKz86pK3dXNq/ypwh8lCG5UqQhgCd1TME0uAJKlAxXk8EAukRBmnwgFSjCNKg4xdVGtylPjE+VpGHH0zsrvzodW0d5mMiD6cv76ksVb1QD6QhXssiDfFYk2mIyxpp0PFGGnT85kUa3CU/KgMlrxV5+MfJicqP3iibYV0m8nByV8+CHPGANATorJ4hkAZPUIGKkWkIBNIjDNLgAYlMgw5SvdqhplzWO0/W7+3UzK/JFE27SNQPJ2c2zrLbcF8u8nBiV3eRkE1bB2mI1zRIQzzWZBriskYadLzJNOj4zWumIXnpdlEouziUlYcXZL0HexzZsbSyHfc7l3UFuMv5D4E0xGsDpCEea6QhLmukQccbadDxaxppcLdhl6O+b3RY9rbYZn4qy1Tb46gly8wV/avNby3rDHC38xcCaYjHHmmIxxppiMsaadDxRhp0/JpOGtztTMkW3PeMDpkbBneYn8kGWfY4Zkmn+cTKVZX/b8UDaYjXakhDPNZIQ1zWSIOON9Kg49e00uBua1Lk4a7RQfPnsiX3L2RrbnvYjMMn+g8wb12yNMDdxwuBNMRjjTTEY400xGWNNOh4Iw06fk0vDe72xmU3i9uHB81fDGw3O/baERDGnCBjHeyYhyNk7EMrHEhDvFZCGuKxRhriskYadLyRBh2/lpEGd5ujIgyfFXm4ZWiHGdwzIw8ndi43H5fMw5s7OgLQaFwIpKFxbNORkYZ4rJGGuKyRBh1vpEHHr+Wkwd3usLy2uHlwu/mMCMTYbOZhXXef+UPZGOuQ9uZcXxJpCNBZPUMgDZ6gAhVjnYZAID3CIA0ekGoUQRp0/FpWGtxtD0i24WbJOvzl0ICxrzDsYXfTvFDk4TWyTHUzHUhDvNZAGuKxJtMQlzXSoOONNOj4tbw0uNvfLoMkPy2DJT83MjBH5DRZHOoiWSTKLhbVDAfSEK8VkIZ4rJGGuKyRBh1vpEHHb8FIg8Pw0+lJc9PgTnPnyOAcmX+/dJnZIJmH35axD/N5IA3x6CMN8VgjDXFZIw063kiDjt+CkwaHY6e8tviMvLa4Q+TBvsKwx2EdS8wFIg82A9E+D1tyIw0BOqtnCKTBE1SgYoxpCATSIwzS4AGpRhGkQcdvwUqDw7JLBkl+QRaJunVop/nX2RUm17S1mY/2rDDrevpNT0R5QBoCdFbPEEiDJ6hAxZCGQCA9wiANHpCQBh2kerXnc8OqetcW6vd2WagHZW+Lm2TGhdtVs1uE4SyZcbGhd0WUQZNIQ6jWrB8HaajPKGQJpCEkzdqxkAYdazINOn4LPtOQhWfz+Ji5SV5dbBnfVfm1nWNxcoRBk0hDgM7qGQJp8AQVqBjSEAikRxikwQMSmQYdpHq1y5BpyGLw3NSEuWHn9srW3DMLVBvzjqWd5g/6VprjG7CzJtJQryeG+z3SEI6lTySkwYdSmDJIg44jmQYdv1JmGtLI7FgHu9bDvSNDc2s9NGLQJNIQoLN6hkAaPEEFKoY0BALpEQZp8IBEpkEHqV7tsmYa0lzsstR/KQMmb5O1HuzsC3uEHDSJNNTrieF+jzSEY+kTCWnwoRSmDNKg40imQcePTEMGP7uy5D2yPPWtssrki7Lugz1CDJpEGgJ0Vs8QSIMnqEDFkIZAID3CIA0ekMg06CDVq02mIZuQzTV8dWxY9rjYaZ6e3F0ppBk0iTTU64nhfo80hGPpEwlp8KEUpgzSoONIpkHHj0yDJ7//IzMtbhrabr45O+PCVss7aBJp8IQdoBjSEABijhBIQw5YyqJIgw4g0qDjhzTk5GdnXNw4sF0yECNmarau76BJpCEnbEVxpEEBr0BVpKEAtIJVkIaC4GarIQ06fkhDQX4/m56q7HFxr6w26bbmrjdoEmkoCLtANaShADRFFaRBAS9nVaQhJ7BUcaRBxw9pUPKzMy7sbIvPyayL7bMzLqoNmkQalLBzVEcacsAKUBRpCADRMwTS4AmqSjGkQccPaQjAz4aYkBkXdp2HWyT78C+zMy7SgyaRhkCwPcIgDR6QAhZBGgLCrBMKadCxRhp0/JCGAPySIeyMi7+WFSZvGtxhfjAxM+PCHnbQ5Cdes8Ycs3ipmZyaWQOCo3EEkIbGsc2KjDTE44006FgjDTp+SEMAftVC/J2dcSHy8MTusbkib5TtuT8su2uevrw36g6bDbzNpgyNNMRtFqQhHm+kQccaadDxQxoC8KsX4oeTk+ZGma75ldHhuRkXXYsWizh0m4/0rDRv7uioF4Lf5ySANOQEpiyONCgB5qiONOSAlVEUadDxQxoC8PMNMd3VZv7i59vMnYMDxs6+cMdvLOk0H+nrNyd1dvuGolwdAkhD3C6CNMTjjTToWCMNOn5IQwB+viHcQMhxGdPw2K5Rc8fwTmMXjdo7G8BO2Vwnry7WdfeZ1YvbfMNSLoMA0hC3WyAN8XgjDTrWSIOOH9IQgJ9viKzZE3Zvi8/JHhdflPUe7PRNe9hZFyd19Zj1vX3mGMlCcOQngDTkZ6apgTRo6OWrizTk45UujTTo+CENAfj5hqg15XK35Bv+SsY83CEC8Q+z+1zYuP9OBk6e17tCxj/0mGVmke+pSl8OaYjbBZCGeLyRBh1rpEHHD2kIwM83hO86Dd+fGDe3Dw+YB0dHjJUJe/TKU3Dt8j7z4d5+c2gbAyfrMUca6hEK+3ukISzPWtGQBh1rpEHHD2kIwM83hK80uHgD8rrCLlN9p2Qf3IJRNtdw3LIuc56MfTihczm5hyrwkQbfXhmmHNIQhqNPFKTBh1L1MkiDjh/SEICfb4i80uDi2lzD5vGxSvbhcRlA6ZaGshmHc0UezunulUzEYt/LKEU5pCFuMyMN8XgjDTrWSIOOH9IQgJ9viKLSkIz/skzVvEPkwS5ZvW3PdOVXdqzD+7pkzYe+leZwGQPBYQzSELcXIA3xeCMNOtZIg44f0hCAn2+IENLgzjW5d695yE7blI2yvi1jINxx1JJlMu5hhXmvvLroWFTegZNIg2+vDFMOaQjD0ScK0uBDqXoZpEHHD2kIwM83REhpSJ7zuakJc5vIw/0ycNJt023XeThbXlus71lh7PoPZTuQhrgtjjTE44006FgjDTp+SEMAfr4hGiUN7vwjkn340siguUO26v6RLF1tD6sL75ZXF+d195t3LCvPmg9Ig2+vDFMOaQjD0ScK0uBDiUyDjlKd2i9v39XQ+ASfIdBoaUhy/tZumbYp2YdHZMdNt2C13ePiQ90rzAe6e4zd+2IhH0hD3NZFGuLxRhp0rMk06PiRaQjAzzdETGlw1/QLGSz5eck+fF4GT26dnhk42S1jHd4vu2zasQ9vaF+Yaz4gDb69Mkw5pCEMR58oSIMPJTINOkpkGhrKzzf4fEiDuzabbXhsbMTcLq8utsh+F+54x9LOylbd75JXGAtp5APS4Nsrw5RDGsJw9ImCNPhQQhp0lJCGhvLzDT6f0pC8xhemZva7+NLooBmWcRD2OLitfXbNhz6zcgGs+YA0+PbKMOWQhjAcfaIgDT6UkAYdJaShofx8gzeLNLjrHZclqu+X/S7s2IdnJycqP7bTNE+W6ZrnyayLo5Yu8721piuHNMRtEqQhHm+kQceaMQ06fpXaDIQMANEjRLNJQ/KSv2MHTspW3Q+NjZqJ2f0ufqVjqey0ucKctrzbLGmxBauRBo8OGbAI0hAQZp1QSIOONdKg44c0BODnG6KZpcHdg93v4gsycPKu4UFjt+22xwp5XXGmDJy0az68tt1u3N38B9IQt42Qhni8kQYda6RBxw9pCMDPN0QrSEPyXh63+13Iq4tvyP+7452yWdaHZODkb8srjGY+kIa4rYM0xOONNOhYIw06fkhDAH6+IVpNGtx9/VQyDnfIwMlNst/Fjr0z22UdIgMnz+7pM2fLdt0HNuGKk0iDb68MUw5pCMPRJwrS4EOpehmkQccPaQjAzzdEq0pD8v7uk4GTd8uriycnXp22+d7ObnOWCMTxkoVolgNpiNsSSEM83kiDjjXSoOOHNATg5xtiIUiDu9efzE7bvG9syAzKOAh72K26z7HZh+75n7aJNPj2yjDlkIYwHH2iIA0+lMg06CjVqc3siYbinQu+kKTB3ZSdafGgbJR1pywaZWdg2MMOlTxRsg/rZOyD3e9iPvbaRBri9Gl3FqQhHm+kQceaTIOOH5mGAPx8QyxEaUje+w9lk6w7ZNrml0eH5haN+iVZpvqDslnWWbLjZn/ERaOQBt9eGaYc0hCGo08UpMGHEpkGHSUyDQ3l5xt8oUuD42AXjXpAxj7cJftdfH9id+XHdtGo35nNPrw9wqJRSINvrwxTDmkIw9EnCtLgQwlp0FFCGhrKzzd4WaQhyeO5qQmZtjlg/kqyD3brbnvYTbLsq4u1svZDb4OyD0iDb68MUw5pCMPRJwrS4ENpnqXh8OPX577KIw57vdm08crc9eajAmMa4lAvozQ4srtkqub9MvbBZh+enpzJPiyV0Q4ndS0363r7zTFLOoM2AtIQFGfdYEhDXUTBCiANOpRRxjRYaXj2idu9r/SeBx43Dzy8BWnwJlaOgmWWhmQL/0BeWVh5+Irsujk2u+7Dmztmsg9ndPWZHvvEVx5IgxJgzupIQ05giuJIgwKeVEUadPwqtck0BIDoEQJp2BfSqAjDl2fHPvzj7IZZyyT7cLLsdXGuDJ7UbJiFNHh0yIBFkIaAMOuEQhp0rJEGHT+kIQA/3xBIQ3VS35sYN3dK9uGr8gpj1+yGWb/cvqTy6uJ3ZexDtwykzHMgDXlo6csiDXqGvhGQBl9S2eWiSIPuEpu/NpmGOG2ENNTnbAdLfnHUbpg1YOwUTnt0Lb7nHgYAACAASURBVFps3tc1s+7DW5csrR9ESiANXpiCFUIagqGsGwhpqIuoZoGmkQY3WDLP2Ie8t37tzfeap77//H5jJdZuuMo88/wL+4Rbv/ZEc/kFZ1Z+dumVN5pHNz9V+e+sAZpIQ96WKFYeacjH7duyVLXdbfMhyT7sns0+HNEh2QeRh9OW95jlIhPVDqQhH2ttaaRBS9C/PtLgzyqr5LxKgx3w+KlP3zV3XQ/ffbU59JA1ujvKqJ08T9ZD30rD0W87bE4SkiFs3VvufNBsvv+Gyo+zyiINwZssMyDSUIzzkCxT/UWZsmmzD/8sy1fbwwrDaTL24bzeFeYt8hojfSANxVgXrYU0FCWXvx7SkJ9Zssa8SEPym7u9mI3XXGaOPeZI3Z141LbnfXnr9sxMQzVpSEtCWiLsaZEGD/gBiiANeoh/v3sm+/DXMvPCLmFtD/vKwmUf7EBKeyANetZ5IiANeWjpyiINOn5RpSG5XsMnL1lnzjr1BGN/1gzSkHw9kXw1cdzpF5vzzz2lcq322PLk02bDFdftM4UUadB1Qt/aSIMvqfrlBiT7cK9kHz4v2YcXZrMPPTJY8nQZNLm+R7IPSzrMgSs6zdYdr+7GWT8qJYoSQBqKkstfD2nIzyxZI5o0VBuz0AzSkATipMCJjL0+JzhJaUi+ShneNaVrBWp7EVi+tM2MT+4x03tmviFzhCHwzbFR89mdO8xDw8Nm5uWFMb8uG2VduGa1OWlZt1mac+ZFmKsqV5SOtkWmrW2xGZ+YLteNz8Pd9nTaLeE4ihKIKg2rV/bNjQ1wF9xs0mCvK/lKwifTMDzmPmqLNgP1fAh0LWuvfKjuQRp8cOUus3162tw5OGBuG9hpfjI786JPlqk+q7fP/N7KleZNMoiSozEEOtoXmzZ5J4Q0NIZvMmpPV0fjT7KAzxBNGizD5OuJ5Df5+X49kW7fpDQwpqF5ej+vJ+K0hc3jbNk9ZjaNj5ivDg4al0ezS1Wv6+kzJ8v0TbuBFkc4AryeCMeyXiReT9QjVPv3UaXBXUozDYR88aVXzPW3fslcf9VFlctzMy3c6wdmT+g6WMjaSENImrVjuYGQz2wbMV8YGTJ3jwyYf52a0Qe7RfcZlbEP/cZu3c2hJ4A06Bn6RkAafElll5sXaXCXkpwKmfXqQndrr9ZOT+20v0lmN9IbaqUzH6zTEKoldHGQBh2/PLXTsyds9uGJ8bHKtM2/2TVq3Jv3ty+dyT6cJNt2t5N9yIN4n7JIQ2F0uSsiDbmR7VNhXqUheSUxFnfSoapem9kTjSK7b1ykIQ5ne5ZaUy5/sWfa3DUyaL4gUzd/Nj2TfVgl2YcPSPbhXFm2+tA2sg95WwppyEuseHmkoTg7WzOKNLDLpa6RqD1DAGmI1xN81mmw2YZvSNbBZh/+VrIQe+wHivzvHTLzwq77cKLNPsS75JY+E9IQr/mQBh1rpEHHr1KbTEMAiB4hkAYPSIGK+EhD8lRbJeNg5eEeWfvhFZmFUZG8xW3mA90zYx8ObkMfajUN0hCo43qEQRo8INUogjTo+CENAfj5hkAafEnpy+WVBndGqwuP2ezD0ID5pszAcNmH45Z2VcY+vEtmXrTpL2/BRUAa4jUp0qBjHU0a8l5m1h4ReWPEKk+mIQ5ppCEOZ3uWotKQvMKXJftwh2QfNsnsCzsOwh4HSvbhLMk+nCvZh4PIPszhQhri9W2kQcc6ijToLrH5ayMNcdoIaYjDOZQ0uKu1QyW/vmuk8vpiy/iuyo4Xdn/N45fZ7EO/OaFzeemzD0hDvL6NNOhYIw06fpXaSEMAiB4hkAYPSIGKhMg0ZF2KXevhjpGdlezDdtn/wh6vkYzD2fLqYl13X2UcRBkPpCFeqyMNOtZIg44f0hCAn28IpMGXlL5co6RhLvuwd6/5WiX7MGi+JTtv2sPqgs062OyDzULYbERZDqQhXksjDTrWSIOOH9IQgJ9vCKTBl5S+XKOlIXmFL05Pmttk4OSXZObFztnsw2vbJfvQ3W/OkfEPq0uQfUAa9H3WNwLS4EsquxzSoOOHNATg5xsCafAlpS8XUxrc1U5K9uGh2ZkX/3diJvtgJ2r+tmQf7MDJ/yDZh4W64wXSoO+zvhGQBl9SSIOOVI3ajGloGNp9AiMNcTjbs8yHNCTv7sdTk+Z2yT58eWzIDM5mH+xKkx+UsQ9nydiHlbIC5UI6kIZ4rYk06FiTadDxI9MQgJ9vCKTBl5S+3HxLg7uDCZlr8ZVRGfsgG2Z9Z/f4XPbBrjZpxz4cK6tPLoQDaYjXikiDjjXSoOOHNATg5xsCafAlpS/XLNKQvJMfTk7Kug87zZdl7MOwvMqwh91l84My9sGu/WB332zVA2mI13JIg4410qDjhzQE4OcbAmnwJaUv14zS4O5qXLIPD4wOV9Z9+P7E7sqPO2SHTbvTpl118jdl581WO5CGeC2GNOhYIw06fkhDAH6+IZAGX1L6cs0sDcm7e25qQmZe7KxIxMhs9uGNNvsgry7Wyq6bvS2SfUAa9H3WNwLS4EsquxzSoOOHNATg5xsCafAlpS/XKtLg7nTX3j3mfjv2QbIPT0/OZB+WylyLk7pk3QfZrvuYJc2dfUAa9H3WNwLS4EsKadCRqlGb2RMNQ7tPYKQhDmd7llaThiSZH8grCysPXxkbMWMiE/Z4c0dHZeDkGV19psfeXJMdSEO8BkEadKzJNOj4kWkIwM83BNLgS0pfrpWlwd39qAjDfXbsg0zd/Cd5jWGPZZJ9OGW5jH2QwZNHLV2mBxUoAtIQCKRHGKTBA1KNIkiDjh/SEICfbwikwZeUvtxCkIYkhe/KdE07bfNBeYVhB1La45fbl1ReXfyujH3oloGU83kgDfHoIw061kiDjh/SEICfbwikwZeUvtxCkwZHZHjPXvOlscHK6ws7hdMeXYsWm/d1zaz78NYlS/XwCkRAGgpAK1gFaSgIbrYa0qDjhzQE4OcbAmnwJaUvt1ClIUnm27JUtd0w6yHJPuyezT4c2bG0Ig+nyyuMTpGJWAfSEIu0MUiDjjXSoOOHNATg5xsCafAlpS9XBmlwlIZkmepNsmDU5yX78M+yfLU97OuKU5f3mPN6V5i3yGuMRh9IQ6MJvxofadCxRhp0/JCGAPx8QyANvqT05cokDUlafy/bdNvsg922226gZQ/7ysJmH04TibADKRtxIA2NoJodE2nQsUYadPyQhgD8fEMgDb6k9OXKKg2O3IBkH+6dzT68MJt96JHsgx00+aGeFZUpnCEPpCEkzdqxkAYda6RBxw9pCMDPNwTS4EtKX67s0pAkuGXcZh8GzCOSfZia/cWvyXRNO23zfTL2YUmA7APSoO+zvhGQBl9S2eWQBh0/pCEAP98QSIMvKX05pGF/hjsk+3DPyKCMfRg0L07PjH3oFVDvlwWj1svUzTfI8tVFD6ShKLn89ZCG/MySNZAGHT+kIQA/3xBIgy8pfTmkoTpDO9Lhm+Njsu7DoHlMVp102Qe7VLXdMOtkmb5pN9DKcyANeWjpyiINOn5Ig44f0hCAn28IpMGXlL4c0uDHcNueafOFkSFztywc9a9TM/qwQjbJOqMy9qG/snW3z4E0+FAKUwZp0HFEGnT8kIYA/HxDIA2+pPTlkIb8DL8h2YcvSPbhYck+uOPtsk33ByX7cGpXT82ASEN+3kVrIA1Fyc3UQxp0/JCGAPx8QyANvqT05ZCG4gy3Tk+Ze2ZnXmydnq4EOmBxm/mwrPlwbnef6c/YrhtpKM47b02kIS+xfcsjDTp+SEMAfr4hkAZfUvpySIOeoY3wiGQdbpNXF3YGhj3sdt3vl/UeLuxbaV6XeHWBNITh7RMFafChVL0M0qDjhzQE4OcbAmnwJaUvhzToGSYj2H0ubhrabh4QibCLRtkFqt/dudyc37fC/LoMoEQawvKuFQ1p0LFGGnT8kIYA/HxDIA2+pPTlkAY9w6wIv5CBk385tLMy82JQpnDa41eXLDMXr1plfndFvxkamdnCm6NxBJAGHVukQccPaQjAzzcE0uBLSl8OadAzrBVh115ZcVJmXdw6NDC35sPrZJXJj8iMizNl5sXyiJtlNfZOmy860qBrE6RBxw9pCMDPNwTS4EtKXw5p0DP0iWBzDXbcw60jO823x8crVeyCUR+UAZMf7Vlp1rS1+YShTA4CSEMOWBlFkQYdP6QhAD/fEEiDLyl9OaRBzzBPBDum4RlZZfJPtr5SkQgrE+3yv1NkoagL+1dF2Wkzz/W2clmkQdd6SIOOH9IQgJ9vCKTBl5S+HNKgZ5gnQnIgpF0k6pbhHWbTyLAZk9cY9niHrPdwvsy4eOeyrjxhKZtBAGnQdQukQccPaQjAzzcE0uBLSl8OadAzzBMha/bE8J695g6ZrvlZGTj5cxlAaQ+7u+bv966U/S56ci9Vned6FnJZpEHXukiDjh/SEICfbwikwZeUvhzSoGeYJ0KtKZdTMkXzr+SVxS2DO8xzUzOzK+xiUXaTrPNkp82+jMWi8py7bGWRBl2LIw06fkhDAH6+IZAGX1L6ckiDnmGeCL7rNGyWpao3Du0wm2cXi1omi0Wd0d1rzpfVJn33uchzXQuxLNKga1WkQccPaQjAzzcE0uBLSl8OadAzzBPBVxpcTLtY1M2yWJTNQNjFouyemu+yi0WJPPyGjH/gqE4AadD1DqRBxw9pCMDPNwTS4EtKXw5p0DPMEyGvNLjYWYtFvXXJUrNB5OG9Mu6BCZv7twLSkKdn7l8WadDxQxoC8PMNgTT4ktKXQxr0DPNEKCoN7hxusajPyGJR/yJTN+3x2vZ2WethhTlbXl+wWNSrrYE05OmZSIOOVpXaL2+f2YyGo7EEkIbG8k1GRxrisbZn0kqDu1o7QfPr8sri5uGd5ju7ZxaL6lm0yJwji0XZWRcsFmUM0qDr22QadPwqtZGGABA9QiANHpACFUEaAoH0DBNKGpKn+8HEbnOjDJpMLhZ1siwWZdd7OKJjqeeVLbxiSIOuTZEGHT+kIQA/3xBIgy8pfTmkQc8wT4RGSIM7v1ss6p7hITNu9lZ+/JsyWNLuc/E7IhFlO5AGXYsjDTp+SEMAfr4hkAZfUvpySIOeYZ4IjZQGdx12sai7ZLGoW2WxKDuA0h72dYUd9/BhWfPBTt8sw4E06FoZadDxQxoC8PMNgTT4ktKXQxr0DPNEiCENyev58uiwuW14wHxvYmbcw0rZVfP35LXFR3v6TNcC32ETacjTM/cvizTo+CENAfj5hkAafEnpyyENeoZ5IsSWBndtdtzDNTu3mSd2j1V+1C+rS9oBk/bVRbcMoFyIB9Kga1WkQccPaQjAzzcE0uBLSl8OadAzzBNhvqTBXeMzkzPy8LisOGkPuz33R7tXVASix3aGBXQgDbrGRBp0/JCGAPx8QyANvqT05ZAGPcM8EeZbGty12r0trDw8umu0MmTSTtc8T7IOF4g89C6QPS6Qhjw9c/+ySIOOH9IQgJ9vCKTBl5S+HNKgZ5gnQrNIg7tmu0z1tYPbzMOy5oOVB7s41Id6es2FvasqrzBa+UAadK2HNOj4IQ0B+PmGQBp8SenLIQ16hnkiNJs0uGv/8dSk+VPJPDy0a8TYhaM6ZYbFuZJ5uLBvhVklO2224oE06FoNadDxQxoC8PMNgTT4ktKXQxr0DPNEaFZpcPfwEysPA9vMg5J5sJM17fTMs2WVyf/cv7KyTXcrHUiDrrWQBh0/pCEAP98QSIMvKX05pEHPME+EZpcGdy8vyr4WfzYgu2vKlM0p+eESkYezZG+LS/pWmQNlzYdWOJAGXSshDTp+SEMAfr4hkAZfUvpySIOeYZ4IrSIN7p5empoyfyZjHu6blYcOGTD5AdlV89L+VeY1be15bj16WaRBhxxp0PFDGgLw8w2BNPiS0pdDGvQM80RoNWlw9/az6SlzvWQevjg2bCb37jVWF96/vMd8rG+1OUR22WzGA2nQtQrSoOOHNATg5xsCafAlpS+HNOgZ5onQqtLg7vHn09Pm04PbzT0jQ2ZC5lvYFxWniTxcKq8tfqm9Iw+KhpdFGnSIkQYdP6QhAD/fEEiDLyl9OaRBzzBPhFaXBnevdk+LPx/YYe4eGTS7RR7s5Mz3yaZYl/avNm9oEnlAGvL0zP3LIg06fkhDAH6+IZAGX1L6ckiDnmGeCAtFGtw9bxd5uHFwh7lreNDsmpWHkzq7zcdEHt7cMb+ZB6QhT89EGnS0qtR+efuuhsQl6L4EkIZ4PQJpiMfanmmhSYOjN7Bnj/mLoe3mDtmWe3Tvnso+midK5uGPZMDkW9qXxIU8ezakQYedTIOOH5mGAPx8QyANvqT05ZAGPcM8ERaqNDgGQyIPN0nm4TbZmntEBkza492dy81lIg9HdCzNg0pdFmnQIUQadPyQhgD8fEMgDb6k9OWQBj3DPBEWujQ4FsN79ppbJPPwWdmWezghD38kry0O74iTeUAa8vTM/csiDTp+SEMAfr4hkAZfUvpySIOeYZ4IZZEGx8RmGz4zvNNslOyDk4fT5bXFZSIPjZ5tgTTk6ZlIg45WldqMaWgI1v2CIg1xONuzIA3xWNszlU0akvJwq8jDTTLjwg6YtMeZDV7nAWnQ9W0yDTp+ZBoC8PMNgTT4ktKXQxr0DPNEKKs0OEZuqubnZMyDO86VvS3sOg+hl6dGGvL0TDINOlpkGhrCzzco0uBLSl8OadAzzBOh7NLgWG2VFSbt3habRocqe1sslfkW60QeLpYBkysDbcmNNOTpmSWXhmtvvtc89f3nzaaNV+5D4sWXXjHvOefjcz/beM1l5thjjpz796VX3mge3fxU5d9HHPb6/erzekLXCX1rIw2+pPTlkAY9wzwRkIZ9adm9La6TXTXvk+Wp7a6aXYsWm/U9vebC3lWmXykPSEOenllSabjngcfNpz59V9WH/nGnX2zOP/cUc9apJ5gtTz5tNlxxnXn2idsr5W3dW+580Gy+/4bKv9duuMoc/bbDzOUXnDlHE2nQdULf2kiDLyl9OaRBzzBPBKQhm5bbkvsrsiX3HinSIxtjfbRnhdnQt7Ly30UOpKEItVfrlGpMg80YvLxVUl+JTENaEiyapESkJSEtEbY80qDrhL61kQZfUvpySIOeYZ4ISENtWj+emjTX7NxmvrZrpDJcsk+yDX/Qu9J8pKfPdEoWIs+BNOShtX/Z0ktDlgQkRSEpEBZflmQgDbpO6FsbafAlpS+HNOgZ5omANPjRem5qwlwr8vDIrtFKhVUiDxdJ1mF9T79ZUllvsv6BNNRnVKtE6aXBjnN46LFvzb1+sLCsNBx80Cpz/VUXmcOPX28+ecm6yquLpDQ8fPfV5tBD1lR+Njpuh+xwNJrAsiVtZmJyj9kzuyhMo89X9vhdS9vN2G76dox+0N62yCwWU7P9m6M+gR/sHjf/7ZWfm6+PjlQKH9TWbq444ACzvl/koc5ri+XLmnPL7vp33RwlSi8NITINg6OTzdGaC/wqejrlITYxbaanZ+ZzczSOgM00dHd1mCH6duMgJyIvaV9s2tsWI2k5aX9vfNxcte0V88TYWKXma9tFHlYfYM7u7TfV1KBv+fxumJXzFpuueOmlgTENTdcnq14QryfitRWvJ+Kxtmfi9YSO95MTu8yf7Nhu7P/b43VtHZV9LU6ThaLSIx54PaFjXXppsPiYPaHrRLFqIw2xSLMiZDzSM2dCGsIQ3zK+y1wzuM18R15f2OON7R3mj1asNu+VbbndiAekQce6FNKQnHLpcCXXYmCdBl0nilUbaYhFGmmIRxppaATrb4yPVWZbPD25uxLebsN9zao15teWLjNIg454KaRBh6h+bWZP1GcUogTSEIKiXwxeT/hxClWKTEMokvvG+brMsrhaFol6fnJi7hd7f/VXGnOykkRFGgI0NNIQAKJHCKTBA1KgIkhDIJCeYZAGT1AFi31V1nd4cHTY/L+JCfNPR76lYBSqWQJIQ4B+gDQEgOgRAmnwgBSoCNIQCKRnGKTBE1SAYrye0EFEGnT8KrWRhgAQPUIgDR6QAhVBGgKB9AyDNHiCClAMadBBRBp0/JCGAPx8QyANvqT05ZAGPcM8EZCGPLR0ZZEGHT+kQccPaQjAzzcE0uBLSl8OadAzzBMBachDS1cWadDxQxp0/JCGAPx8QyANvqT05ZAGPcM8EZCGPLR0ZZEGHT+kQccPaQjAzzcE0uBLSl8OadAzzBMBachDS1cWadDxQxp0/JCGAPx8QyANvqT05ZAGPcM8EZCGPLR0ZZEGHT+kQccPaQjAzzcE0uBLSl8OadAzzBMBachDS1cWadDxQxp0/KgNAQhAAAIQKA0BpKE0Tc2NQgACEIAABHQEkAYdP2pDAAIQgAAESkMAaShNU3OjEIAABCAAAR0BpKEgv0uvvNE8uvmpSu0jDnu92bTxyoKRqJYmcO3N95rbNz2yz4+TjOttZQ5RPwKW81Pff36/vpveSv7ZJ27fJyB9349vutTaDVeZo992mLn8gjPnfrXlyafNhiuu2y9gkvlxp19stu0YrJRZv/bEfeoXuxJqQaA4AaShADv7oXrLnQ+azfffUKmd9WFQICxVZglUe5g5QPZD9PxzTzFnnXqCcR+66QcbMKsTSEpBWnidkD1899Xm0EPWmHRb0Pfz96ykZKUf+vX6r61rj+uvuqjy/4cfv95svOYyc+wxR+a/EGpAIAABpKEAxLQkpD9IC4SkSoJALWnI+pBNSgQg/QnYB9LLW7fvk2lIs09LBH3fn2+6pO2n733X2zMzDdWkNy0JaYkofjXUhEAxAkhDAW7ph1S9bwsFTlHqKunXE8lvw1mCRqanWHfJkoash1LywUXfL8ba1qolDcmoTiDSwmbL1MvCFb86akLAjwDS4Mdpn1L2Q/STl6yrpMft4aTBpXQLhKRKDQKWt0vr2g/Nhx771tyrIVvNSsPBB62aS+EC049AljRksUz2d/q+H9usUlnSkC5n+dvDjpHK+lzJ6v/Fr4iaEMhPAGnIz6zyjcG9U09KA+/VC8D0qJL8dkWmwQOYZxEyDZ6gAhXzkYZk1pJMQyDwhAlKAGkogJP3ugWgKaokpYExDQqQqaqMaQjH0idSXmmwMRnT4EOWMjEJIA0FaDOCvAC0HFWslLkprO7bVvJ1ELMncsCsUTRLGpg9EYZtVpQsabBtcOnvn1GZqWIPW+aoI98096qN2RONaw8iFyOANBTjZpirXhCcRzUrDc88/8JcyfQ0NdZp8IBYo0h6HQZbNDmNj3UadHzTtZOfFe537lVmrUG/rizrNIRtD6LpCCANOn7UhgAEIAABCJSGANJQmqbmRiEAAQhAAAI6AkiDjh+1IQABCEAAAqUhgDSUpqm5UQhAAAIQgICOANKg40dtCEAAAhCAQGkIIA2laWpuFAIQgAAEIKAjgDTo+FEbAhCAAAQgUBoCSENpmpobhQAEIAABCOgIIA06ftSGAAQgAAEIlIYA0lCapuZGIQABCEAAAjoCSIOOH7UhAAEIQAACpSGANJSmqblRCEAAAhCAgI4A0qDjR20IQAACEIBAaQggDaVpam4UAhCAAAQgoCOANOj4URsCEIAABCBQGgJIQ2mamhuFAAQgAAEI6AggDTp+1IYABCAAAQiUhgDSUJqm5kYhMD8Err35XvPQY98ym++/YX4ugLNCAALBCCANwVASCAL5CBx3+sVm247B/So9+8Ttcz+79MobzXef/lFLP3CRhnz9gtIQaGYCSEMztw7XtqAJWGl477vebi6/4My5+1y74Sqz9Rc7WloS0o2GNCzobszNlYwA0lCyBud2m4dAljSkH7DV/n3+uaeYT336rrmbSWYnsu7QysjBB62q/OrRzU9V/v+Iw15vNm28svLfL770innPOR83G6+5zBx7zJFzIQ4/fr355CXrzFmnnlD5mft38tzr155o1p7yHyv13ZGs4+7BCtLtmx6pes22XPL3WTGS9538ffO0KlcCgYVNAGlY2O3L3TUxgSxpSP8sSxrsg/Xdxx1trr/qosrdWSGwhxOAatLwzPMv7CcA9oFvMx15pMHGd5JyzwOPV+Rl9cq+ueyI+5kr42TAnSvrmtP3mb4eFyN5303ctFwaBBYsAaRhwTYtN9bsBKqNacj6hu0GEWal+u1D+pY7H6z5SsNlGpxoWDZ2vIQ97M/ySEPy+rLquZ89fPfV5tBD1pisa97y5NNmwxXXGVfGZjDcf7t2S14frziavTdzfWUhgDSUpaW5z6YjkJVpcA9c96283usKe1Ppb/bVMg329URaGl7eur2SoWiENLhXHVkP/OT57PVagcg63CsUpKHpui8XVFICSENJG57bnn8CWdLgMgDuYV4maUhnGpIthDTMf3/lCiBgCSAN9AMIzBOBZpIGi8C+IvAdCOkGRtZ6PVEr0+BeT7hxD+kBl+kmQRrmqZNyWgikCCANdAkIzBOBLGlwD1M3biBWpsEisNdz1JFvmnuFYccU2JkWWbMntNJQ7VzJbINl8eWvba5cD9IwT52U00IAaaAPQKA5CFQbCJn8th9TGlzWwNGxsmBnRoSShuRCVlmzINJTLu111MpWNEcrchUQKBcBMg3lam/uFgIQgAAEIFCYANJQGB0VIQABCEAAAuUigDSUq725WwhAAAIQgEBhAkhDYXRUhAAEIAABCJSLANJQrvbmbiEAAQhAAAKFCSANhdFREQIQgAAEIFAuAkhDudqbu4UABCAAAQgUJoA0FEZHRQhAAAIQgEC5CCAN5Wpv7hYCEIAABCBQmADSUBgdFSEAAQhAAALlIoA0lKu9uVsIQAACEIBAYQJIQ2F0VIQABCAAAQiUiwDSUK725m4hAAEIQAAChQkgDYXRURECEIAABCBQLgJIQ7nam7uFAAQgAAEIFCaANBRGR0UIQAACEIBAuQggDeVqb+4WAhCAAAQgUJgA0lAYHRUhAAEIQAAC5SKANJSrvblbsEbN3QAAAT5JREFUCEAAAhCAQGECSENhdFSEAAQgAAEIlIsA0lCu9uZuIQABCEAAAoUJIA2F0VERAhCAAAQgUC4CSEO52pu7hQAEIAABCBQmgDQURkdFCEAAAhCAQLkIIA3lam/uFgIQgAAEIFCYANJQGB0VIQABCEAAAuUigDSUq725WwhAAAIQgEBhAkhDYXRUhAAEIAABCJSLANJQrvbmbiEAAQhAAAKFCSANhdFREQIQgAAEIFAuAkhDudqbu4UABCAAAQgUJoA0FEZHRQhAAAIQgEC5CCAN5Wpv7hYCEIAABCBQmADSUBgdFSEAAQhAAALlIoA0lKu9uVsIQAACEIBAYQJIQ2F0VIQABCAAAQiUiwDSUK725m4hAAEIQAAChQkgDYXRURECEIAABCBQLgJIQ7nam7uFAAQgAAEIFCbw/wHVc+sDE3dHQAAAAABJRU5ErkJggg==",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"leftmost_bin = 0\n",
"rightmost_bin = bio.system_size() - 1\n",
"delta_injection = 2\n",
"\n",
"print(f\"Repeatedly injecting {delta_injection} at bin {leftmost_bin} and draining it at {rightmost_bin}\")\n",
"\n",
"for i in range(2001):\n",
" # Inject to the leftmost bin\n",
" bio.inject_conc_to_bin(bin_address=leftmost_bin, chem_index=0, delta_conc=delta_injection, zero_clip = False)\n",
" \n",
" # Drain from the rightmost bin\n",
" bio.inject_conc_to_bin(bin_address=rightmost_bin, chem_index=0, delta_conc=-delta_injection, zero_clip = False)\n",
" \n",
" # Note: the NET GAIN of moles of A in the system is zero!\n",
" \n",
" # Diffuse for the time span delta_time\n",
" status = bio.diffuse(total_duration=delta_time, time_step=0.1)\n",
"\n",
" \n",
" if (i == 2) or (i == 1000) or (i == 2000): # Display the early, middle and final state \n",
" bio.visualize_system(show=True)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "bccd2a34-5389-4b12-9a9d-bb9a2aa1120b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(203.33945718438923, 96.66054281561514)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(bio.bin_concentration(bin_address=0, species_label=\"A\") ,\n",
" bio.bin_concentration(bin_address=rightmost_bin, species_label=\"A\"))"
]
},
{
"cell_type": "markdown",
"id": "688baf52-85e7-4b44-89f7-c55d262a7bbc",
"metadata": {},
"source": [
"### By now, the gradient has stabilized with \n",
"### [A] = 203.34 on the left and [A] = 96.66 on the right\n",
"Their average is 150, equal to the initial uniform concentration, since the net injection/drain is balanced"
]
},
{
"cell_type": "markdown",
"id": "ee1cda78-04f4-4671-921f-c291fe6140bd",
"metadata": {},
"source": [
"Note: if the drain is too large, relative to the diffusion rate, the smaller concentration could \"saturate\" at zero"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "f44c4079-8347-4b03-bb0a-4dca037d1bf0",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"colorbar": {
"len": 1.2,
"title": {
"text": "Conc."
},
"x": 1.02,
"y": 0.5
},
"colorscale": [
[
0,
"rgb(254, 254, 253)"
],
[
0.09090909090909091,
"rgb(224, 224, 223)"
],
[
0.18181818181818182,
"rgb(197, 197, 195)"
],
[
0.2727272727272727,
"rgb(171, 171, 170)"
],
[
0.36363636363636365,
"rgb(146, 146, 145)"
],
[
0.45454545454545453,
"rgb(124, 123, 122)"
],
[
0.5454545454545454,
"rgb(102, 101, 101)"
],
[
0.6363636363636364,
"rgb(81, 80, 80)"
],
[
0.7272727272727273,
"rgb(59, 59, 59)"
],
[
0.8181818181818182,
"rgb(38, 38, 38)"
],
[
0.9090909090909091,
"rgb(16, 16, 16)"
],
[
1,
"rgb(0, 0, 0)"
]
],
"hovertemplate": "Conc.: %{z}
Bin #: %{x}
CHEM: %{y}A",
"type": "heatmap",
"xaxis": "x",
"xgap": 0,
"y": [
"A"
],
"yaxis": "y",
"ygap": 2,
"z": [
[
203.33945718438923,
203.0897021463649,
202.63899818128462,
202.06094490421648,
201.42321639524798,
200.76906270242284,
200.11687590432555,
199.47023795285105,
198.82788911132965,
198.18864347532488,
197.55221995525068,
196.91870558720368,
196.28817180280205,
195.66062211278728,
195.03603885884772,
194.41440717815414,
193.7957156107271,
193.17995283547077,
192.56710652740577,
191.95716341438987,
191.35010946764208,
190.74592996513093,
190.14460948865536,
189.54613191627092,
188.95048042320923,
188.35763748665622,
187.76758489075527,
187.18030373124913,
186.59577442009655,
186.01397669026815,
185.43488960074248,
184.8584915416784,
184.28476023975114,
183.7136727636503,
183.1452055297393,
182.57933430787648,
182.01603422739527,
181.4552797832428,
180.89704484227482,
180.34130264970574,
179.7880258357117,
179.23718642218586,
178.68875582964333,
178.14270488427456,
177.59900382514556,
177.05762231154262,
176.51852943046018,
175.98169370422994,
175.44708309828908,
174.91466502908597,
174.38440637212116,
173.85627347012186,
173.33023214134786,
172.80624768802656,
172.28428490491552,
171.76430808798995,
171.24628104325333,
170.73016709566883,
170.2159290982091,
169.70352944102282,
169.19293006071507,
168.68409244973967,
168.1769776659008,
167.6715463419622,
167.16775869536062,
166.6655745380221,
166.16495328627795,
165.66585397087826,
165.16823524710068,
164.6720554049514,
164.17727237945647,
163.6838437610404,
163.19172680598982,
162.70087844699944,
162.2112553037978,
161.72281369384996,
161.23550964313506,
160.74929889699536,
160.2641369310545,
159.77997896220248,
159.29677995964394,
158.814494656008,
158.33307755851604,
157.85248296020492,
157.3726649512035,
156.89357743005854,
156.41517411510827,
155.93740855590005,
155.46023414464975,
154.98360412774005,
154.5074716172543,
154.0317896025438,
153.55651096182507,
153.08158847380477,
152.6069748293289,
152.1326226430537,
151.6584844651355,
151.1845127929361,
150.71066008274155,
150.23687876149077,
149.76312123851153,
149.28933991726075,
148.8154872070662,
148.34151553486683,
147.86737735694862,
147.39302517067344,
146.91841152619756,
146.44348903817726,
145.96821039745853,
145.49252838274805,
145.0163958722623,
144.5397658553526,
144.06259144410234,
143.58482588489412,
143.10642256994387,
142.62733504879895,
142.14751703979755,
141.66692244148646,
141.1855053439945,
140.7032200403586,
140.22002103780008,
139.73586306894808,
139.25070110300726,
138.76449035686755,
138.2771863061527,
137.78874469620487,
137.29912155300323,
136.80827319401288,
136.31615623896232,
135.8227276205463,
135.32794459505138,
134.83176475290213,
134.33414602912458,
133.83504671372495,
133.33442546198083,
132.83224130464234,
132.3284536580408,
131.8230223341022,
131.31590755026338,
130.807069939288,
130.2964705589803,
129.78407090179408,
129.2698329043344,
128.75371895674994,
128.2356919120134,
127.71571509508787,
127.19375231197687,
126.66976785865562,
126.14372652988166,
125.61559362788242,
125.08533497091764,
124.55291690171457,
124.01830629577374,
123.48147056954353,
122.94237768846114,
122.40099617485822,
121.85729511572927,
121.31124417036055,
120.76281357781804,
120.21197416429223,
119.65869735029824,
119.10295515772918,
118.54472021676125,
117.98396577260883,
117.42066569212764,
116.85479447026485,
116.28632723635388,
115.71523976025306,
115.14150845832583,
114.56511039926175,
113.9860233097361,
113.40422557990772,
112.81969626875515,
112.23241510924903,
111.64236251334812,
111.04951957679515,
110.45386808373347,
109.855390511349,
109.25407003487345,
108.6498905323623,
108.04283658561455,
107.43289347259865,
106.82004716453363,
106.20428438927733,
105.58559282185027,
104.9639611411567,
104.33937788721714,
103.71182819720237,
103.08129441280074,
102.44778004475374,
101.81135652467954,
101.17211088867478,
100.52976204715338,
99.88312409567888,
99.23093729758158,
98.57678360475644,
97.93905509578792,
97.36100181871979,
96.91029785363948,
96.66054281561514
]
]
}
],
"layout": {
"autosize": true,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Diffusion
System snapshot at time t=2001"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
199.5
],
"title": {
"text": "Bin number"
}
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
0.5
],
"type": "category"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Show as heatmap\n",
"bio.system_heatmaps(title_prefix=\"Diffusion\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "66023445-8e04-4a90-adcd-35467d8fed98",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "600daa29-3801-435d-b2f1-77be0e6d5875",
"metadata": {},
"source": [
"## Inject a bell-shape concentration"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "5b783880-6199-47df-b6d1-3f987879e88e",
"metadata": {},
"outputs": [],
"source": [
"# Now that the system is at a steady statem, \n",
"# inject a bell-shape concentration, with the peak close to one end of the system\n",
"bio.inject_bell_curve(chem_label=\"A\", mean=0.25, sd=0.1, amplitude=30., bias=0)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "a7d28e2a-a98e-4b49-993a-ad413ce91ced",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
208.5979473324598,
209.04457283475844,
209.36546385200268,
209.63982174132732,
209.9409900128294,
210.31790369883868,
210.79459654964373,
211.3801833866129,
212.07875667547702,
212.89422420318053,
213.83105679111983,
214.8936636287962,
216.0859167434499,
217.41100411190126,
218.87138028274114,
220.46869402045692,
222.20369390875592,
224.07613302809386,
226.08468042848017,
228.22684027660225,
230.49887945320413,
232.89576518717163,
235.4111146020635,
238.03715797849884,
240.76471737192404,
243.583202049313,
246.48062200886037,
249.4436206086072,
252.45752705183338,
255.50642916401432,
258.57326655430853,
261.6399438902961,
264.6874636351044,
267.6960772090421,
270.64545315199916,
273.514860487192,
276.2833651305189,
278.93003686201257,
281.43416408539946,
283.77547335686035,
285.93435047207095,
287.8920597677999,
289.63095822572416,
291.13470096521064,
292.3884347804716,
293.37897651590174,
294.09497327992716,
294.5270417689621,
294.66788430400237,
294.5123795663061,
294.0576464474167,
293.30307989315025,
292.25035811078993,
290.9034210126172,
289.26842027566516,
287.353641895741,
285.1694025920953,
282.72792186693454,
280.0431719314324,
277.1307080682493,
274.0074823024067,
270.69164349179005,
267.20232712132497,
263.5594381884935,
259.78343060160046,
255.89508647709795,
251.91529862103022,
247.8648593165432,
243.764258320081,
239.6334927002099,
235.49189084281886,
231.35795260326552,
227.24920721889444,
223.18209021343608,
219.17184013724273,
215.23241560296987,
211.37643270346263,
207.61512254484495,
203.95830829982413,
200.41440088968406,
196.99041214291984,
193.69198405735628,
190.52343261311967,
187.48780444705537,
184.5869446050513,
181.82157353616066,
179.19137147941714,
176.69506841798704,
174.3305378323452,
172.09489257049697,
169.98458126454062,
167.99548385448932,
166.12300492757757,
164.36216373964936,
162.70767995020285,
161.1540542700663,
159.6956433866587,
158.3267286929297,
157.0415784994196,
155.8345035519671,
154.69990580847008,
153.63232054531326,
152.62645196665568,
151.67720257720575,
150.77969665130962,
149.92929818841753,
149.12162378786945,
148.35255090532007,
147.61822197007353,
146.9150448483539,
146.2396901334291,
145.58908573092592,
144.96040918802348,
144.351078189874,
143.7587396168925,
143.18125752372094,
142.61670036584377,
142.06332776403218,
141.5195770609095,
140.98404988873156,
140.4554989335852,
139.93281504913878,
139.41501484320673,
138.90122883299782,
138.39069024016757,
137.88272447478076,
137.37673933801202,
136.872215956817,
136.36870044978335,
135.86579631177008,
135.3631574955879,
134.86048216165938,
134.35750706111892,
133.85400251394884,
133.34976794128934,
132.84462790979865,
132.33842864567828,
131.83103497653715,
131.32232766047952,
130.81220106351594,
130.30056114848114,
129.78732374098482,
129.27241304041922,
128.75576034662322,
128.23730297538503,
127.71698333850311,
127.19474816657474,
126.67054785501213,
126.14433591597586,
125.61606852094991,
125.08570412055349,
124.55320312989079,
124.01852766928155,
123.4816413515984,
122.9425091086682,
122.40109705028473,
121.85737235033703,
121.31130315539413,
120.76285851181392,
120.21200830807038,
119.65872322953328,
119.10297472339442,
118.54473497182623,
117.98397687179047,
117.42067402019283,
116.85480070331467,
116.28633188964693,
115.71524322541498,
115.14151103221586,
114.5651123063016,
113.98602471913156,
113.40422661889276,
112.81969703274757,
112.23241566961549,
111.64236292332421,
111.04951987598596,
110.45386830152516,
109.85539066948752,
109.25407014940824,
108.64989061510705,
108.04283664524208,
107.43289351545907,
106.82004719526412,
106.20428441125522,
105.58559283752881,
104.96396115231322,
104.33937789513585,
103.71182820280877,
103.08129441676003,
102.44778004754278,
101.81135652663926,
101.1721108900483,
100.52976204811362,
99.88312409634851,
99.23093729804737,
98.57678360507963,
97.93905509601159,
97.36100181887419,
96.9102978537458,
96.66054281568817
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2001"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.66013495522628,
305.6682921644643
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the system state at this stage\n",
"bio.visualize_system()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "91410515-17b3-4b6e-a20b-1647e385c5be",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"colorbar": {
"len": 1.2,
"title": {
"text": "Conc."
},
"x": 1.02,
"y": 0.5
},
"colorscale": [
[
0,
"rgb(254, 254, 253)"
],
[
0.09090909090909091,
"rgb(224, 224, 223)"
],
[
0.18181818181818182,
"rgb(197, 197, 195)"
],
[
0.2727272727272727,
"rgb(171, 171, 170)"
],
[
0.36363636363636365,
"rgb(146, 146, 145)"
],
[
0.45454545454545453,
"rgb(124, 123, 122)"
],
[
0.5454545454545454,
"rgb(102, 101, 101)"
],
[
0.6363636363636364,
"rgb(81, 80, 80)"
],
[
0.7272727272727273,
"rgb(59, 59, 59)"
],
[
0.8181818181818182,
"rgb(38, 38, 38)"
],
[
0.9090909090909091,
"rgb(16, 16, 16)"
],
[
1,
"rgb(0, 0, 0)"
]
],
"hovertemplate": "Conc.: %{z}
Bin #: %{x}
CHEM: %{y}A",
"type": "heatmap",
"xaxis": "x",
"xgap": 0,
"y": [
"A"
],
"yaxis": "y",
"ygap": 2,
"z": [
[
208.5979473324598,
209.04457283475844,
209.36546385200268,
209.63982174132732,
209.9409900128294,
210.31790369883868,
210.79459654964373,
211.3801833866129,
212.07875667547702,
212.89422420318053,
213.83105679111983,
214.8936636287962,
216.0859167434499,
217.41100411190126,
218.87138028274114,
220.46869402045692,
222.20369390875592,
224.07613302809386,
226.08468042848017,
228.22684027660225,
230.49887945320413,
232.89576518717163,
235.4111146020635,
238.03715797849884,
240.76471737192404,
243.583202049313,
246.48062200886037,
249.4436206086072,
252.45752705183338,
255.50642916401432,
258.57326655430853,
261.6399438902961,
264.6874636351044,
267.6960772090421,
270.64545315199916,
273.514860487192,
276.2833651305189,
278.93003686201257,
281.43416408539946,
283.77547335686035,
285.93435047207095,
287.8920597677999,
289.63095822572416,
291.13470096521064,
292.3884347804716,
293.37897651590174,
294.09497327992716,
294.5270417689621,
294.66788430400237,
294.5123795663061,
294.0576464474167,
293.30307989315025,
292.25035811078993,
290.9034210126172,
289.26842027566516,
287.353641895741,
285.1694025920953,
282.72792186693454,
280.0431719314324,
277.1307080682493,
274.0074823024067,
270.69164349179005,
267.20232712132497,
263.5594381884935,
259.78343060160046,
255.89508647709795,
251.91529862103022,
247.8648593165432,
243.764258320081,
239.6334927002099,
235.49189084281886,
231.35795260326552,
227.24920721889444,
223.18209021343608,
219.17184013724273,
215.23241560296987,
211.37643270346263,
207.61512254484495,
203.95830829982413,
200.41440088968406,
196.99041214291984,
193.69198405735628,
190.52343261311967,
187.48780444705537,
184.5869446050513,
181.82157353616066,
179.19137147941714,
176.69506841798704,
174.3305378323452,
172.09489257049697,
169.98458126454062,
167.99548385448932,
166.12300492757757,
164.36216373964936,
162.70767995020285,
161.1540542700663,
159.6956433866587,
158.3267286929297,
157.0415784994196,
155.8345035519671,
154.69990580847008,
153.63232054531326,
152.62645196665568,
151.67720257720575,
150.77969665130962,
149.92929818841753,
149.12162378786945,
148.35255090532007,
147.61822197007353,
146.9150448483539,
146.2396901334291,
145.58908573092592,
144.96040918802348,
144.351078189874,
143.7587396168925,
143.18125752372094,
142.61670036584377,
142.06332776403218,
141.5195770609095,
140.98404988873156,
140.4554989335852,
139.93281504913878,
139.41501484320673,
138.90122883299782,
138.39069024016757,
137.88272447478076,
137.37673933801202,
136.872215956817,
136.36870044978335,
135.86579631177008,
135.3631574955879,
134.86048216165938,
134.35750706111892,
133.85400251394884,
133.34976794128934,
132.84462790979865,
132.33842864567828,
131.83103497653715,
131.32232766047952,
130.81220106351594,
130.30056114848114,
129.78732374098482,
129.27241304041922,
128.75576034662322,
128.23730297538503,
127.71698333850311,
127.19474816657474,
126.67054785501213,
126.14433591597586,
125.61606852094991,
125.08570412055349,
124.55320312989079,
124.01852766928155,
123.4816413515984,
122.9425091086682,
122.40109705028473,
121.85737235033703,
121.31130315539413,
120.76285851181392,
120.21200830807038,
119.65872322953328,
119.10297472339442,
118.54473497182623,
117.98397687179047,
117.42067402019283,
116.85480070331467,
116.28633188964693,
115.71524322541498,
115.14151103221586,
114.5651123063016,
113.98602471913156,
113.40422661889276,
112.81969703274757,
112.23241566961549,
111.64236292332421,
111.04951987598596,
110.45386830152516,
109.85539066948752,
109.25407014940824,
108.64989061510705,
108.04283664524208,
107.43289351545907,
106.82004719526412,
106.20428441125522,
105.58559283752881,
104.96396115231322,
104.33937789513585,
103.71182820280877,
103.08129441676003,
102.44778004754278,
101.81135652663926,
101.1721108900483,
100.52976204811362,
99.88312409634851,
99.23093729804737,
98.57678360507963,
97.93905509601159,
97.36100181887419,
96.9102978537458,
96.66054281568817
]
]
}
],
"layout": {
"autosize": true,
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Diffusion
System snapshot at time t=2001"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
199.5
],
"title": {
"text": "Bin number"
}
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
-0.5,
0.5
],
"type": "category"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Show as heatmap\n",
"bio.system_heatmaps(title_prefix=\"Diffusion\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "27ff05dc-f0d6-4cc0-a4d6-06ca8a066c79",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Resuming repeatedly injecting 2 at bin 0 and draining it at 199\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
209.78175416654992,
209.80335976591996,
209.87006483324146,
210.01507775906404,
210.264874282157,
210.63149107726338,
211.1156950603738,
211.71473586362788,
212.4277977718212,
213.25709070639394,
214.20649533070917,
215.28010031330308,
216.48149515838347,
217.81358495374633,
219.27854133948082,
220.87773460061632,
222.61164406668604,
224.47976786586977,
226.48053967454192,
228.6112532490272,
230.8679954125928,
233.24558897231483,
235.737547322991,
238.33604241872257,
241.03188762753527,
243.81453681018255,
246.67210076982465,
249.59138198958524,
252.55792830869757,
255.55610589000537,
258.5691915078975,
261.57948384238597,
264.5684331086297,
267.5167879891404,
270.40475847616676,
273.21219288267247,
275.91876695039747,
278.50418268108643,
280.9483742501532,
283.23171813830226,
285.3352444426372,
287.2408462102315,
288.93148357847804,
290.3913795108814,
291.6062039859088,
292.56324363010157,
293.2515539832786,
293.66209184013013,
293.78782542405224,
293.62382050950464,
293.16730101097653,
292.41768299121213,
291.3765814991718,
290.04779011915997,
288.4372335861543,
286.5528942880534,
284.4047139229904,
282.0044719991816,
279.36564324690835,
276.50323634908415,
273.43361668155626,
270.1743159813381,
266.74383202637716,
263.16142151183055,
259.4468893443645,
255.62037754854393,
251.7021568902939,
247.71242417550332,
243.67110798219625,
239.59768533852113,
235.51101157322287,
231.42916524806378,
227.36930974109742,
223.3475726942319,
219.37894417658543,
215.4771940549196,
211.65480871167696,
207.92294691694485,
204.2914143493325,
200.76865597768503,
197.3617652651633,
194.0765089428414,
190.91736592387522,
187.88757879267982,
184.98921620659036,
182.22324448938605,
179.58960667517434,
177.08730727504758,
174.7145010845808,
172.46858442407455,
170.34628730152323,
168.34376510642917,
166.4566885764965,
164.68033092465086,
163.00965116658162,
161.4393728451558,
159.96405750396397,
158.57817241465384,
157.27615220872,
156.05245420163357,
154.90160732364745,
153.81825468581192,
152.79718991062964,
151.8333874437543,
150.92202713596538,
150.0585134434707,
149.23848963983463,
148.45784746521397,
147.71273265901627,
146.999546831662,
146.31494613102126,
145.65583715057411,
145.01937051070166,
144.40293252303638,
143.8041353217286,
143.2208058159996,
142.65097378654258,
142.09285941519,
141.5448605036672,
141.00553960395953,
140.47361125046882,
139.94792945325258,
139.4274755826301,
138.91134674860845,
138.39874475413393,
137.88896567923,
137.38139013368092,
136.87547419904513,
136.37074106635177,
135.8667733637353,
135.3632061583405,
134.85972060891538,
134.35603823940696,
133.85191579939197,
133.34714067411272,
132.84152680504968,
132.33491108116485,
131.82715016101326,
131.31811768668587,
130.80770185186375,
130.29580328800304,
129.78233323471312,
129.26721196263907,
128.7503674195264,
128.23173407256218,
127.71125192249197,
127.18886566736278,
126.66452399600057,
126.13817899347295,
125.60978564279345,
125.07930140898388,
124.54668589331754,
124.01190054712015,
123.4749084359075,
122.93567404589561,
122.39416312603728,
121.85034255972731,
121.3041802611872,
120.75564509229827,
120.20470679631067,
119.6513359454244,
119.09550389972681,
118.53718277538914,
117.97634542037927,
117.41296539624882,
116.84701696480603,
116.2784750786985,
115.70731537510707,
115.13351417189992,
114.55704846571803,
113.9778959315639,
113.3960349235491,
112.81144447652413,
112.22410430836828,
111.63399482274968,
111.0410971121922,
110.44539296135879,
109.84686485066814,
109.24549596051175,
108.6412701754307,
108.03417208457684,
107.42418697378993,
106.81130082241393,
106.19550036648491,
105.57677328910346,
104.95510827704169,
104.33049387788977,
103.7029152360255,
103.07235469993314,
102.43881578670272,
101.80236993382637,
101.16310418277979,
100.52073744884589,
99.87408383193555,
99.22188359919653,
98.56771870580502,
97.92998123308591,
97.35192123127932,
96.90121278212237,
96.65145550178426
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2002"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.69943495054714,
304.73984597528937
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
222.33657379821497,
222.22862458735375,
222.06116817144422,
221.9070757804868,
221.8329284406149,
221.8805177992569,
222.06641111979746,
222.39199754996164,
222.85345436219004,
223.44665955179062,
224.1680191022411,
225.0139257616962,
225.98037000042106,
227.06288171512801,
228.25657052559575,
229.55614308190005,
230.9558971678762,
232.44971251803406,
234.03104483767586,
235.69292265369606,
237.42794651453386,
239.22829087813182,
241.08570934340148,
242.99154385515902,
244.9367384168134,
246.91185776059046,
248.9071113418403,
250.91238292787855,
252.9172659417603,
254.91110460181005,
256.88304077314126,
258.82206632148444,
260.7170806356949,
262.5569528664135,
264.3305883173368,
266.0269983248867,
267.6353728738311,
269.1451551222628,
270.54611695053677,
271.82843460616374,
272.98276349073905,
274.0003111258973,
274.8729073428478,
275.59307076381447,
276.1540706829613,
276.54998350820046,
276.7757429925225,
276.82718356284016,
276.7010761443501,
276.3951559774893,
275.90814203100143,
275.2397477266569,
274.39068280693834,
273.36264629464364,
272.1583106109898,
270.78129703456136,
269.2361427955261,
267.52826020621865,
265.6638883288339,
263.6500377721094,
261.49442929016976,
259.2054269270303,
256.7919665086718,
254.26348033038443,
251.6298189197588,
248.90117077501742,
246.08798098432516,
243.20086962451063,
240.25055081771706,
237.2477532925424,
234.203143253072,
231.1272503058783,
228.03039713273486,
224.92263352675647,
221.8136753333213,
218.71284875590243,
215.62904040231413,
212.5706533603474,
209.5455695047831,
206.56111815173657,
203.6240510925252,
200.74052395898624,
197.91608379651248,
195.1556626509834,
192.46357691207618,
189.84353209880896,
187.2986327241048,
184.83139683401677,
182.44377478420793,
180.13717179137075,
177.91247378038693,
175.77007603892955,
173.70991418952968,
171.73149699440026,
169.83394051997323,
168.01600320552993,
166.2761214028031,
164.61244498027665,
163.02287261635988,
161.50508643891433,
160.05658570401926,
158.6747192436561,
157.3567164494863,
156.09971659744866,
154.9007963549229,
153.75699534816667,
152.66533970216983,
151.62286349758466,
150.62662811965762,
149.6737395018474,
148.76136329187582,
147.88673799019446,
147.0471861301958,
146.24012358594496,
145.46306710679465,
144.71364018906013,
143.98957740309655,
143.288727299793,
142.60905402386027,
141.9486377625417,
141.3056741577373,
140.6784728072207,
140.0654549768755,
139.46515064090505,
138.87619496099975,
138.29732430868492,
137.72737192772246,
137.16526332568336,
136.61001147581354,
136.0607119022352,
135.51653771349388,
134.97673464159084,
134.44061613603415,
133.90755855517534,
133.37699649024054,
132.84841825106136,
132.32136153659886,
131.79540930795153,
131.27018587666004,
130.74535321676305,
130.22060750521388,
129.6956758919193,
129.1703134977881,
128.6443006367507,
128.11744025570323,
127.58955558470437,
127.06048798848109,
126.53009500934068,
125.99824859091078,
125.46483347169891,
124.92974573724875,
124.392891519638,
123.85418583318624,
123.31355153549043,
122.77091840325913,
122.22622231284896,
121.67940451590138,
121.13041100101356,
120.57919193294212,
120.02570116141735,
119.4698957922273,
118.91173581380886,
118.35118377314483,
117.78820449531156,
117.22276484154092,
116.65483350115393,
116.08438081318717,
115.51137861396528,
114.93580010727469,
114.35761975416241,
113.7768131797235,
113.19335709454883,
112.60722922878601,
112.01840827701614,
111.42687385236457,
110.83260644845535,
110.23558740804351,
109.63579889750282,
109.03322388661852,
108.42784613233654,
107.81965016218206,
107.20862125215291,
106.59474541176,
105.97800943746148,
105.3584010949757,
104.73590916924384,
104.11052231611187,
103.48222579381597,
102.85100206663078,
102.21685476637137,
101.57985544174853,
100.94009123996801,
100.29728117495004,
99.65023943685749,
98.99770637366882,
98.34326401114579,
97.70530449030615,
97.12707790968976,
96.67625838756535,
96.42644556459851
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2027"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.40418234247397,
286.8494467849647
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
232.1562268225798,
232.0202124657163,
231.79661744793,
231.55829694386745,
231.37180935978483,
231.27891905607177,
231.2961640944485,
231.42490627942146,
231.66130236910422,
232.00122301262738,
232.4410878720501,
232.97733388149697,
233.60603736672144,
234.3228685766812,
235.1231463810042,
236.0018713778587,
236.95373694085328,
237.9731377855535,
239.05418213682435,
240.1907066555207,
241.37629312824126,
242.60428671542547,
243.8678158593735,
245.1598139369719,
246.47304267379442,
247.8001172970894,
249.1335333832891,
250.46569533466106,
251.78894639573792,
253.09560009467498,
254.37797296910438,
255.62841841100692,
256.8393614409691,
258.0033341993296,
259.11301192057346,
260.1612491383476,
261.14111585203676,
262.0459333723426,
262.86930955305706,
263.6051731095065,
264.2478067211743,
264.7918786169572,
265.2324723464584,
265.5651144497058,
265.7857997506585,
265.8910140167201,
265.87775374703983,
265.7435428764048,
265.48644620871625,
265.10507942403774,
264.5986155356054,
263.96678770755835,
263.20988837999926,
262.32876468484136,
261.3248101732142,
260.19995291247466,
258.9566400475777,
257.5978189572007,
256.12691516909774,
254.54780723122985,
252.86479876484435,
251.0825879524897,
249.20623473760492,
247.24112603254113,
245.19293924842356,
243.06760447297958,
240.8712656312296,
238.61024096871407,
236.2909831977216,
233.9200396438559,
231.50401272335796,
229.04952107105865,
226.56316162489705,
224.0514729558708,
221.52090011238536,
218.97776122557863,
216.42821609767287,
213.87823696912972,
211.33358163274607,
208.79976903422698,
206.28205746960566,
203.7854254605382,
201.31455535936152,
198.87381970722907,
196.4672703409648,
194.09863021781715,
191.77128790232797,
189.48829463630753,
187.2523638916341,
185.06587328645253,
182.93086872846578,
180.84907063449316,
178.82188206337304,
176.8503985896342,
174.93541973814257,
173.07746179509874,
171.27677180824554,
169.5333425888371,
167.84692852969684,
166.21706205740088,
164.6430705421007,
163.12409349556452,
161.65909989647864,
160.24690549171433,
158.88618993292883,
157.57551361933218,
156.31333412951824,
155.0980221377333,
153.92787672266073,
152.8011399895568,
151.71601093922342,
150.67065852970129,
149.66323388857572,
148.6918816452962,
147.75475036381252,
146.85000206604806,
145.9758208461903,
145.1304205844323,
144.31205177660914,
143.51900750311685,
142.7496285665731,
142.00230783287995,
141.2754938146973,
140.56769353985703,
139.877474749975,
139.2034674764964,
138.5443650426844,
137.89892454068777,
137.26596683285626,
136.64437612597186,
136.03309916608936,
135.4311441002924,
134.83757904993044,
134.2515304378661,
133.67218110998812,
133.09876828878336,
132.5305813941666,
131.9669597640796,
131.4072903046392,
130.851005096872,
130.2975789843571,
129.746527163437,
129.19740279507548,
128.64979465496387,
128.10332483611674,
127.55764651597408,
127.01244179794513,
126.46741963539945,
125.9223138443366,
125.37688120934882,
124.83089968603136,
124.28416670168883,
123.73649755503033,
123.18772391453373,
122.63769241428571,
122.08626334535768,
121.5333094401548,
120.97871474666212,
120.42237358910286,
119.86418961120766,
119.30407489806255,
118.74194917234605,
118.17773906067688,
117.61137742576058,
117.04280276004246,
116.47195863663407,
115.89879321337717,
115.32325878603409,
114.74531138674269,
114.1649104240407,
113.58201836094483,
112.99660042776007,
112.40862436649118,
111.8180602039234,
111.22488005062634,
110.62905792331871,
110.03056958826672,
109.42939242375661,
108.82550529999142,
108.218888474008,
107.60952349432473,
106.99739310917981,
106.38248119014516,
105.7647727315387,
105.14425398535568,
104.52091246978787,
103.89473578475736,
103.26570831196386,
102.63381179127475,
101.9990492586715,
101.36149177532424,
100.72122609180418,
100.07797090147298,
99.43054013744118,
98.77767394357382,
98.12295418567047,
97.48477288174084,
96.90638003850633,
96.45544970914528,
96.20558149270204
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2052"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.77861301914548,
275.3179824902766
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
239.90879126712218,
239.7465401846139,
239.4705247387669,
239.15370665015755,
238.86280538180156,
238.6398023169262,
238.50151039646678,
238.4496264435643,
238.48070499801742,
238.59108015642764,
238.77770380576328,
239.03761712493773,
239.36757599242654,
239.76400876031798,
240.22307405263825,
240.74069673289281,
241.31258146777765,
241.934223365434,
242.60092166836245,
243.3077955612838,
244.04980100409142,
244.82174829808523,
245.6183204082867,
246.43409205791528,
247.2635495547694,
248.10111128344403,
248.94114879020378,
249.7780083822887,
250.60603315640756,
251.41958536336205,
252.21306900826994,
252.98095257902818,
253.71779178951516,
254.4182522186345,
255.0771317217514,
255.68938248747244,
256.25013261016693,
256.7547070472012,
257.19864782962094,
257.57773339602784,
257.8879969216817,
258.1257435184518,
258.2875661861288,
258.3703604017862,
258.37133724131525,
258.28803493588975,
258.11832877589177,
257.8604392856546,
257.51293860415853,
257.0747550194335,
256.545175617758,
255.92384702265264,
255.21077421301138,
254.40631742433018,
253.5111871517362,
252.5264372882159,
251.45345644593854,
250.2939575227029,
249.0499655891521,
247.723804185347,
246.31808012742908,
244.83566693630033,
243.2796870103886,
241.6534926735395,
239.96064623679422,
238.20489921920057,
236.39017087780041,
234.52052620050614,
232.600153517692,
230.63334188898307,
228.62445842093376,
226.57792566908245,
224.49819927429024,
222.3897459783869,
220.25702215802596,
218.10445300838896,
215.9364125000701,
213.75720422323369,
211.5710432230828,
209.38203891993558,
207.19417919590734,
205.01131571847236,
202.8371505591666,
200.67522415352272,
198.52890463613568,
196.4013785726648,
194.29564309871267,
192.21449946399287,
190.16054796911817,
188.1361842718043,
186.14359702937807,
184.1847668352824,
182.26146639884786,
180.3752619100041,
178.52751552387943,
176.71938889440983,
174.95184768117042,
173.2256669496591,
171.54143738219796,
169.89957221446363,
168.30031481138167,
166.743746795697,
165.22979664291674,
163.7582486574656,
162.32875224674837,
160.94083141231195,
159.59389438038616,
158.28724329768608,
157.02008392241464,
155.7915352448417,
154.60063897658716,
153.4463688527318,
152.32763969605406,
151.24331619797945,
150.1922213761714,
149.17314467402755,
148.18484967262398,
147.22608139081794,
146.29557315423665,
145.39205301870223,
144.51424973823876,
143.6608982721465,
142.83074482968485,
142.02255145466214,
141.23510015567135,
140.46719659082493,
139.7176733186275,
138.98539262907727,
138.269248971209,
137.56817099509166,
136.88112322777783,
136.20710740388495,
135.54516347238214,
134.89437030177913,
134.25384610628075,
133.62274861560462,
133.00027501107718,
132.38566165034607,
131.7781836025981,
131.1771540155679,
130.58192333488805,
129.991878395484,
129.40644140377736,
128.82506882844663,
128.2472502164239,
127.67250694969496,
127.10039095733377,
126.5304833960548,
125.96239331142125,
125.39575629071325,
124.83023311735036,
124.26550843568263,
123.70128943392487,
123.13730455201262,
122.57330222021294,
122.00904963343085,
121.4443315653173,
120.87894922550743,
120.31271916260056,
119.74547221483637,
119.177052509823,
118.60731651413418,
118.03613213310865,
117.4633778607583,
116.88894197931548,
116.31272180762456,
115.73462299730475,
115.15455887537614,
114.5724498318476,
113.9882227506094,
113.40181048185109,
112.8131513541367,
112.22218872420724,
111.62887056254172,
111.0331490726831,
110.43498034232843,
109.8343240242499,
109.23114304533307,
108.62540334219875,
108.01707362101158,
107.4061251360986,
106.79253148107315,
106.17626840402187,
105.55731370689894,
104.9356472885329,
104.31125106897105,
103.68410772822634,
103.05419733655445,
102.42149786771634,
101.78600908007007,
101.14779919470357,
100.50695251427153,
99.86318563624798,
99.21531071468002,
98.56206640063867,
97.90703332723916,
97.26860251792421,
96.69002320494437,
96.23896887288728,
95.98903874754232
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2077"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.96779994233272,
267.3925760465248
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
245.86490629378724,
245.68117823246797,
245.36227628036767,
244.9812970362419,
244.60516221533837,
244.27612273899703,
244.01132823790422,
243.81287918237814,
243.6778004457566,
243.602962777077,
243.58592054893117,
243.62438263137358,
243.71583700478274,
243.85750754603364,
244.04641061940973,
244.27938959095323,
244.5531266677053,
244.86415151601597,
245.2088526167216,
245.5834903975928,
245.98421103627436,
246.40706062845464,
246.84799973454074,
247.3029183157447,
247.76765101885965,
248.2379927482005,
248.70971446131128,
249.17857912539523,
249.6403577698751,
250.09084556814952,
250.52587787951904,
250.94134618063634,
251.3332138146467,
251.6975314854001,
252.03045242375768,
252.32824715311594,
252.58731778185492,
252.80421175150178,
252.9756349709995,
253.0984642695896,
253.16975910345943,
253.18677245446486,
253.14696086290922,
253.04799354052088,
252.88776051440763,
252.66437975784493,
252.3762032692463,
252.02182206653094,
251.6000700702995,
251.110026855712,
250.5510192596761,
249.92262183684787,
249.2246561649622,
248.45718900708818,
247.6205293454822,
246.7152243087307,
245.74205402077,
244.70202540708354,
243.5963649998474,
242.42651078996465,
241.1941031797435,
239.90097509538316,
238.54914132338558,
237.14078713946884,
235.67825630248146,
234.16403848917318,
232.6007562484405,
230.99115155581381,
229.33807205047358,
227.6444570379663,
225.91332334203742,
224.14775108861068,
222.35086950393492,
220.52584280730363,
218.6758562765579,
216.8041025618312,
214.91376831972454,
213.00802123634622,
211.08999750345563,
209.16278980736004,
207.2294358852768,
205.29290769863928,
203.35610126734778,
201.42182720329984,
199.4928019757308,
197.57163993501115,
195.66084611563383,
193.76280983323574,
191.8797990846826,
190.0139557545542,
188.1672916258427,
186.34168518736226,
184.53887922530367,
182.7604791815862,
181.0079522571943,
179.28262723456209,
177.5856949893105,
175.91820965826497,
174.2810904277019,
172.6751239031974,
171.10096702028687,
169.55915045339205,
168.0500824791258,
166.57405324914032,
165.13123942713003,
163.72170914442185,
162.3454272287658,
161.00226066145967,
159.69198421877917,
158.41428625481754,
157.16877458423974,
155.9549824250983,
154.77237436371678,
153.62035230568992,
152.49826137925172,
151.40539575959565,
150.3410043851647,
149.3042965394389,
148.29444727430624,
147.31060265368447,
146.35188479864357,
145.4173967178378,
144.50622690957283,
143.6174537242881,
142.75014947861,
141.90338431441293,
141.07622979849958,
140.26776226056697,
139.47706586905252,
138.70323544624577,
137.9453790257032,
137.20262015650792,
136.47409996027588,
135.75897894801943,
135.05643860504375,
134.365682752969,
133.68593869874906,
133.0164581811965,
132.35651812603246,
131.7054212208623,
131.06249632174212,
130.42709870315477,
129.79861016326373,
129.17643899626864,
128.56001984355524,
127.94881343512357,
127.34230623250038,
126.74000998400207,
126.14146120282412,
125.54622057799617,
124.95387232777017,
124.3640235045068,
123.77630325960149,
123.19036207645172,
122.60587097891782,
122.02252072217604,
121.44002097231082,
120.85809948044604,
120.27650125667904,
119.69498774855732,
119.11333602833172,
118.53133799273202,
117.94879957854535,
117.3655399968347,
116.78139098821715,
116.19619610122882,
115.60980999543735,
115.0220977706238,
114.43293432304274,
113.84220372948336,
113.24979865959477,
112.65561981670486,
112.05957540715336,
111.46158063797239,
110.8615572425737,
110.25943303395026,
109.65514148482366,
109.04862133425142,
108.43981622025659,
107.8286743370535,
107.21514811234573,
106.59919389913408,
105.98077169423277,
105.35984494418408,
104.73638049843709,
104.11034844789828,
103.48172078223183,
102.85046794328878,
102.2165592663174,
101.57998679394895,
100.94081189228024,
100.29911281279341,
99.65460085387235,
99.00608357602896,
98.35229570104417,
97.69681456089356,
97.05802847513958,
96.47918454370824,
96.02795466988398,
95.77793703379155
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2102"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
87.03300173264303,
261.9317077556134
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
250.39388981054614,
250.19349308758564,
249.84131288277732,
249.41056377434214,
248.96834404194414,
248.55713926896894,
248.1943911934401,
247.88254901886887,
247.61904198866117,
247.4011996975588,
247.22708850313268,
247.09498088532303,
247.00297836416033,
246.94896640753214,
246.9306689583578,
246.9456806983953,
246.99147644940587,
247.0654171660455,
247.16475847953447,
247.2866608349769,
247.42820011937044,
247.58637848033464,
247.75813535570416,
247.94035873342813,
248.12989661132247,
248.3235686071943,
248.51817766978067,
248.71052184308562,
248.89740603690822,
249.07565375570908,
249.2421187374787,
249.3936964541501,
249.5273354252649,
249.6400482970105,
249.72892263939278,
249.7911314152044,
249.82394307560205,
249.8247312385134,
249.7909839077604,
249.7203121927016,
249.6104584903613,
249.45930409441573,
249.26487619804053,
249.02535426047572,
248.73907571021778,
248.4045409609926,
248.02041772007402,
247.58554457207418,
247.09893382502042,
246.55977360932675,
245.96742922413995,
245.32144372946746,
244.62153778644762,
243.8676087520764,
243.05972903863167,
242.1981437519059,
241.28326762614628,
240.31568127727905,
239.29612679953468,
238.22550273396902,
237.10485844056802,
235.93538790860325,
234.71842304265803,
233.45542646424317,
232.14798387115357,
230.7977959986666,
229.4066702283368,
227.9765118914884,
226.50931531554193,
225.00715466202564,
223.47217460551735,
221.90658090283492,
220.3126309015501,
218.6926240363438,
217.04889236086055,
215.38379116156668,
213.69968969868276,
211.9989621175613,
210.2839785719339,
208.5570965982746,
206.82065277814056,
205.07695472277823,
203.32827341154623,
201.5768359128285,
199.8248185131182,
198.07434027686898,
196.32745705656066,
194.58615596923661,
192.8523503525634,
191.1278752102673,
189.41448315363627,
187.71384084266586,
186.02752592739395,
184.35702448703086,
182.7037289616701,
181.06893656867493,
179.453848193295,
177.8595677406872,
176.28710193431112,
174.73736054364608,
173.2111570223501,
171.70920953634902,
170.23214235991816,
168.78048761659596,
167.3546873407542,
165.95509583483903,
164.58198229668844,
163.23553369092318,
161.9158578381892,
160.62298669599926,
159.35687980506466,
158.11742787532114,
156.90445648632235,
155.71772987728895,
154.55695480285124,
153.421784431394,
152.31182226389117,
151.2266260521944,
150.16571169689666,
149.12855710611987,
148.1146059978592,
147.12327162984388,
146.15394044223362,
145.2059755998466,
144.2787204220012,
143.37150168943572,
142.48363281913973,
141.61441689927608,
140.76314957768878,
139.92912179876586,
139.11162238465639,
138.30994045801594,
137.5233677045739,
136.75120047486988,
135.99274172549698,
135.24730280110737,
134.51420505928473,
133.7927813411624,
133.08237729136678,
132.38235253149392,
131.69208169187985,
131.01095530690878,
130.33838057951348,
129.67378202086653,
129.0166019715376,
128.36630101060786,
127.72235825938547,
127.08427158646724,
126.45155772093516,
125.82375228047529,
125.20040972115828,
124.5811032155318,
123.96542446555007,
123.35298345670695,
122.74340815955127,
122.13634418455045,
121.53145439603412,
120.92841849069733,
120.32693254587615,
119.72670854253109,
119.12747386758748,
118.52897079999121,
117.9309559845446,
117.33319989729318,
116.73548630594333,
116.13761172850255,
115.53938489305371,
114.9406262013,
114.3411671982535,
113.7408500501847,
113.13952703270776,
112.5370600306452,
111.93332005109792,
111.32818675093871,
110.72154797974463,
110.11329933899394,
109.50334375823356,
108.89159108895512,
108.27795771691238,
107.66236619256554,
107.04474487618124,
106.42502759301543,
105.80315331170527,
105.17906590742481,
104.55271407047249,
103.92405109913918,
103.2930335109164,
102.6596175500467,
102.02375958363677,
101.38543987184093,
100.7447091419002,
100.10163611019179,
99.45592360641777,
98.8063717543716,
98.15170883977304,
97.49550673128792,
96.85614923362559,
96.27687985980872,
95.82536783759353,
95.5752095704228
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2127"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.97417177930484,
258.99492760166413
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
253.82655704693923,
253.61345083240587,
253.23589808268022,
252.76720608790262,
252.27461178457236,
251.8007848654171,
251.36339597518443,
250.96516720489754,
250.60384368979334,
250.27711278638296,
249.98343919401242,
249.72153287170127,
249.48997036362994,
249.28714796886516,
249.11133438892628,
248.960700975207,
248.833328982349,
248.7272132879126,
248.64026854400566,
248.5703368110029,
248.51519557832594,
248.47256588091952,
248.44012054085843,
248.415492563494,
248.39628366832017,
248.3800729163598,
248.36442539641519,
248.34690093525143,
248.32506279753014,
248.29648634114886,
248.25876759358192,
248.20953171504735,
248.14644131476626,
248.06720458717555,
247.96958323569712,
247.85140015255874,
247.71054682420717,
247.54499043304867,
247.35278062759153,
247.13205593454617,
246.88104978805276,
246.59809615294878,
246.28163472085222,
245.93021565980837,
245.5425039003251,
245.11728294278709,
244.65345817348617,
244.15005967882027,
243.60624454958233,
243.02129866967465,
242.39463798602387,
241.72580925892873,
241.01449029452948,
240.26048966352982,
239.46374591271768,
238.62432627820283,
237.7424249116042,
236.81836063266468,
235.85257422393124,
234.84562528520172,
233.7981886673926,
232.71105050731586,
231.5851038865529,
230.42134413917307,
229.22086383445253,
227.98484746199972,
226.71456584777852,
225.41137033043427,
224.07668672806855,
222.71200912616922,
221.31889351778565,
219.8989513272408,
218.45384284869507,
216.9852706307232,
215.4949728377382,
213.9847166185991,
212.45629151207982,
210.91150291805954,
209.3521656623298,
207.7800976818077,
206.19711385570926,
204.60502000688106,
203.00560709602385,
201.4006456299804,
199.7918803036133,
198.18102489307935,
196.56975741652903,
194.95971557643458,
193.35249249589143,
191.74963275935826,
190.1526287664142,
188.56291740522929,
186.981877050578,
185.41082488938926,
183.85101457502876,
182.30363420976164,
180.76980465315768,
179.25057815258273,
177.7469372903807,
176.25979424089553,
174.7899903291199,
173.33829588149277,
171.90541035820502,
170.49196275531662,
169.0985122640425,
167.7255491737297,
166.37349600432552,
165.04270885352926,
163.7334789433222,
162.44603435018718,
161.1805419030528,
159.93710923282862,
158.71578695733132,
157.51657098543512,
156.33940492440655,
155.18418257459982,
154.05075049598966,
152.9389106313953,
151.84842297169916,
150.7790082488776,
149.73035064323398,
148.70210049184905,
147.69387698593272,
146.70527084546916,
145.73584696028706,
144.78514698744985,
143.85269189564525,
142.93798444804708,
142.04051161592503,
141.15974691607965,
140.29515266597807,
139.446182151253,
138.61228170100216,
137.7928926670793,
136.98745330430046,
136.1954005491956,
135.41617169561204,
134.64920596612188,
133.8939459787955,
133.14983910947893,
132.41633875024885,
131.69290546521822,
130.9790080453232,
130.27412446414183,
129.57774273717206,
128.889361687337,
128.20849161978288,
127.53465490929653,
126.86738650389174,
126.20623434829949,
125.55075973124879,
124.90053756054105,
124.25515657000707,
123.61421946249007,
122.97734299302537,
122.34415799638728,
121.71430936315,
121.08745596836282,
120.46327055687345,
119.84143958924825,
119.22166305213734,
118.60365423681708,
117.987139489515,
117.37185793698443,
116.75756119064918,
116.14401303248589,
115.53098908565225,
114.91827647270797,
114.30567346410992,
113.69298911949818,
113.08004292412456,
112.46666442261208,
111.85269285207431,
111.23797677646357,
110.62237372385307,
110.0057498281992,
109.38797947703162,
108.76894496656702,
108.1485361657431,
107.52665018962507,
106.90319107947403,
106.2780694856565,
105.65120236725792,
105.02251277067339,
104.39192974853918,
103.75938815852444,
103.12482727668385,
102.4881873039847,
101.84940975880676,
101.20846124146661,
100.56538000105925,
99.92022344924295,
99.27268427552937,
98.6215536189125,
97.9655519266832,
97.30824436686207,
96.66800917342167,
96.08808541162998,
95.6361389786918,
95.38576406022888
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2152"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.58349778318942,
262.6288233239787
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
256.425123584204,
256.2023551995382,
255.80551327206194,
255.30797528269792,
254.7770831189513,
254.25564578383498,
253.761507059164,
253.29759533755663,
252.8618944306056,
252.45236183135185,
252.06776279958052,
251.707137124303,
251.36941918082871,
251.05338972248762,
250.75772704551653,
250.48103565446482,
250.22185183998164,
249.97864563550993,
249.74982512513324,
249.53374215968316,
249.3286983934279,
249.1329513576845,
248.94472060883237,
248.7621939884911,
248.58353398468176,
248.40688416466728,
248.23037565093105,
248.0521336146671,
247.8702837620481,
247.68295878848548,
247.4883047760959,
247.28448750983543,
247.069698688171,
246.8421620046716,
246.60013907750857,
246.3419352045604,
246.06590492262055,
245.7704573501071,
245.45406129366341,
245.1152501001174,
244.7526262364271,
244.364865581477,
243.95072141489933,
243.50902808946617,
243.03870437503144,
242.53875646348564,
242.00828062571208,
241.4464655130997,
240.85259409775853,
240.22604524719844,
239.56629493085674,
238.8729170574904,
238.1455839440729,
237.3840664184483,
236.58823355958543,
235.75805208083634,
234.8935853631249,
233.9949921464708,
233.0625248896748,
232.0965278093574,
231.0974346108347,
230.0657659245378,
229.00212646282156,
227.90720191306264,
226.78175558390822,
225.6266248224059,
224.4427172205109,
223.23100663013238,
221.99252900643975,
220.7283780996016,
219.43970101547424,
218.12769366599008,
216.79359613012204,
215.4386879463182,
214.06428335720958,
212.67172652720205,
211.26238675326587,
209.83765368884286,
208.39893260030203,
206.94763967479543,
205.4851973977021,
204.0130300171038,
202.5325591119187,
201.04519927943355,
199.55235395702906,
198.05541139189094,
196.5557407714519,
195.0546885262211,
193.5535748155354,
192.0536902056206,
190.55629254818444,
189.06260406658703,
187.57380865545383,
186.0910493984181,
184.61542630751336,
183.1479942865835,
181.68976131995097,
180.24168688648277,
178.80468059812787,
177.3796010609743,
175.96725495589055,
174.5683963348838,
173.1837261284248,
171.81389185816525,
170.459487548706,
169.1210538313702,
167.79907823229323,
166.49399563656414,
165.2061889196433,
163.93598973683498,
162.68367946121623,
161.44949026011182,
160.23360629995756,
159.03616506921307,
157.8572588088652,
156.6969360400044,
155.55520317795737,
154.43202622251414,
153.32733251389894,
152.2410125442923,
151.1729218149207,
150.1228827289801,
149.0906865109508,
148.07609514318963,
147.07884331104583,
146.0986403481377,
145.13517217384208,
144.1881032154869,
143.25707830819263,
142.34172456577775,
141.44165321662499,
140.5564613988938,
139.68573390995596,
138.82904490542646,
137.98595954365186,
137.15603557200618,
136.33882485182397,
135.53387481926816,
134.74072987988987,
133.9589327350786,
133.1880256390295,
132.42755158526364,
131.67705542212815,
130.93608489707242,
130.2041916298473,
129.4809320151001,
128.76586805514364,
128.05856812395862,
127.3586076637479,
126.66556981559576,
125.9790459859976,
125.29863635121488,
124.62395030157641,
123.95460682799215,
123.29023485306884,
122.63047350931949,
121.97497236704159,
121.32339161450298,
120.67540219312005,
120.03068589034235,
119.38893539297037,
118.74985430363206,
118.11315712312796,
117.47856920132702,
116.84582665925598,
116.21467628497528,
115.58487540577589,
114.95619173916405,
114.32840322502761,
113.70129784129638,
113.07467340532527,
112.44833736313917,
111.82210656858778,
111.19580705436151,
110.56927379671251,
109.94235047561652,
109.31488923205914,
108.68675042421619,
108.0578023843342,
107.42792117710037,
106.79699035715207,
106.16490072228451,
105.53155007661219,
104.89684306635887,
104.26069115004675,
103.62301244301105,
102.98373037134503,
102.34277021428674,
101.70005952823261,
101.05555193880485,
100.40927373162356,
99.76127138675011,
99.11122771168355,
98.45792502804031,
97.80007604303616,
97.14123927244978,
96.49978739445656,
95.91895502185439,
95.46640470801736,
95.21572840724684
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2177"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.2596508974159,
265.38120109403496
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
258.38877270291,
258.15863404993644,
257.74707790991647,
257.22753430992196,
256.66742370209266,
256.1096593681648,
255.57221467874942,
255.05817242327507,
254.5656950200189,
254.09294208670107,
253.63890374287624,
253.20286650156527,
252.78403237096597,
252.38146961008383,
251.99416278090854,
251.62104022892507,
251.26097840855854,
250.91280252510703,
250.5752894707062,
250.2471721169881,
249.92714388253975,
249.6138632975033,
249.30595860898322,
249.00203247137696,
248.70066671694144,
248.40042718389924,
248.09986858023672,
247.79753936431962,
247.4919866243726,
247.18176093881505,
246.8654211994134,
246.54153937939356,
246.20870522896834,
245.86553088112174,
245.51065535093767,
245.142748912277,
244.76051733618613,
244.36270597606784,
243.94810368535255,
243.51554655417348,
243.06392145237038,
242.59216936701694,
242.09928852358485,
241.58433728081783,
241.04643679038617,
240.4847734134237,
239.8986008871077,
239.28724223552402,
238.65009142015987,
237.98661472647888,
237.29635188415196,
236.57891691964,
235.83399874094133,
235.0613614554257,
234.26084442277218,
233.4323620461023,
232.57590330545167,
231.69153103874362,
230.77938097641592,
229.83966053679984,
228.87264739025548,
227.87868780092495,
226.85819475577273,
225.81164589133303,
224.73958122927993,
223.64260073256895,
222.52136169446973,
221.3765759733154,
220.2090070862324,
219.01946717548515,
217.80881386137116,
216.57794699583337,
215.32780533111804,
214.0593631178981,
212.77362664730447,
211.47163075126213,
210.15443527541572,
208.82312153875156,
207.47878879378294,
206.12255070086496,
204.75553182984547,
203.37886420184586,
201.99368388349995,
200.60112764546514,
199.2023296964624,
197.79841850350385,
196.3905137083294,
194.97972314940935,
193.56713999817103,
192.15384001739062,
190.7408789489507,
189.329290037411,
187.92008169507463,
186.51423531346117,
185.11270322532553,
183.71640682058913,
182.32623481878645,
180.94304169987436,
179.56764629451047,
178.20083053418338,
176.84333836087384,
175.49587479524757,
174.15910516172644,
172.83365446816228,
171.52010693724597,
170.2190056862261,
168.93085255099038,
167.65610805007753,
166.39519148374205,
165.1484811627878,
163.91631476152037,
162.69898978884405,
161.49676417124513,
160.30985694116137,
159.13844902403642,
157.98268411719667,
156.84266965356778,
155.7184778431659,
154.61014678525413,
153.51768164404703,
152.44105588087425,
151.38021253577324,
150.335065551575,
149.30550113366812,
148.29137913877665,
147.29253448626324,
146.30877858566836,
145.3399007744178,
144.38566975987047,
143.44583506013768,
142.52012843837562,
141.60826532554012,
140.7099462268879,
139.824858107813,
138.95267575491877,
138.09306310854063,
137.24567456325298,
136.41015623321283,
135.58614717950923,
134.77328059700332,
133.97118495845396,
133.17948511402855,
132.3978033445965,
131.62576036749203,
130.86297629371344,
130.10907153579436,
129.36366766584237,
128.6263882234856,
127.89685947370167,
127.17471111472459,
126.45957693643153,
125.75109542980442,
125.04891034824107,
124.35267122165446,
123.66203382445038,
122.97666059860948,
122.29622103322293,
121.62039200193944,
120.94885805987714,
120.28131170163618,
119.61745358211753,
118.95699270191143,
118.29964655906464,
117.64514126907048,
116.9932116549502,
116.3436013093083,
115.6960626302495,
115.05035683304163,
114.40625393939665,
113.76353274622284,
113.12198077567575,
112.48139420830333,
111.84157780104458,
111.20234479179597,
110.56351679220242,
109.92492367026773,
109.28640342437,
108.64780205039465,
108.00897340376996,
107.36977905720704,
106.73008815183698,
106.08977723837316,
105.44873012264628,
104.80683777829972,
104.16399838854458,
103.52011725704304,
102.87510552317808,
102.22887676088062,
101.5813474543644,
100.93246083736153,
100.28223352667578,
99.63070309518253,
98.97754423931408,
98.32153199631067,
97.66137264249573,
97.00061913938409,
96.35763950712789,
95.77566461292429,
95.32235418980768,
95.07129830656669
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2202"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.99810528454762,
267.4619657249291
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
259.86679498085914,
259.63100071892717,
259.20815306553743,
258.6717213813124,
258.08918493016836,
257.50353505844384,
256.9328421550759,
256.38030460995645,
255.8442185814085,
255.32289505506145,
254.81549256744853,
254.32148245413254,
253.84026724582844,
253.37113065924842,
252.9132868284255,
252.46590691166512,
252.02812249430508,
251.59902526262073,
251.17766893039416,
250.76307248495442,
250.35422367509665,
249.95008246766153,
249.54958452099896,
249.1516447240917,
248.7551608013912,
248.3590169654678,
247.9620876004675,
247.5632409623564,
247.16134288285343,
246.75526046387245,
246.34386574921544,
245.9260393603751,
245.50067408352584,
245.06667839505857,
244.6229799133296,
244.1685287646559,
243.70230085199907,
243.22330101523528,
242.73056607240542,
242.22316773188095,
241.70021536595567,
241.16085863698746,
240.60428996785856,
240.0297468491975,
239.4365139765065,
238.82392521106325,
238.1913653592082,
237.53827176539028,
236.86413571511616,
236.16850364473032,
235.45097815574204,
234.71121883220437,
233.94894286043993,
233.16392545119064,
232.35600006504458,
231.5250584427551,
230.67105044281564,
229.79398368938158,
228.89392303433843,
227.97098983799663,
227.02536107354845,
226.0572682610456,
225.06699623724737,
224.05488176824446,
223.02131201228113,
221.96672284067748,
220.89159702518972,
219.7964623005423,
218.68188931121435,
217.54848945187067,
216.39691261108513,
215.2278448282194,
214.04200587348586,
212.84014676134447,
211.62304720745644,
210.3915130394458,
209.14637357170244,
207.8884789543976,
206.61869750677783,
205.3379130446555,
204.0470222118264,
202.74693182491768,
201.4385562409053,
200.1228147562417,
198.80062904620246,
197.47292065269892,
196.14060852841237,
194.80460664469155,
193.4658216702144,
192.1251507269576,
190.78347922953938,
189.44167881351115,
188.1006053576685,
186.76109710494057,
185.42397288589612,
184.09003044838263,
182.76004489628946,
181.4347672399034,
180.11492305980573,
178.8012112857477,
177.4943030914364,
176.1948409056709,
174.9034375397886,
173.62067543091547,
172.34710600006767,
171.08324912372132,
169.82959271705764,
168.586592426704,
167.35467143042442,
166.13422034087338,
164.9255972102081,
163.72912763206483,
162.54510493713803,
161.37379047836237,
160.21541400148536,
159.07017409663266,
157.93823872630833,
156.8197458251407,
155.71480396657725,
154.6234930916518,
153.54586529489086,
152.48194566239553,
151.43173315712735,
150.39520154644143,
149.372300366947,
148.3629559218334,
147.3670723058754,
146.38453245342816,
145.41519920483347,
144.4589163867873,
143.51550990236112,
142.5847888265252,
141.6665465031889,
140.76056163995128,
139.86659939694178,
138.98441246632527,
138.1137421392464,
137.25431935719465,
136.40586574498047,
135.56809462272605,
134.74071199448727,
133.92341751133793,
133.11590540696085,
132.3178654040013,
131.5289835896475,
130.74894325910824,
129.97742572585773,
129.214111097714,
128.4586790180067,
127.7108093712726,
126.97018295309388,
126.23648210386311,
125.50939130641804,
124.78859774764328,
124.07379184427849,
123.36466773330807,
122.66092372743353,
121.96226273624613,
121.26839265382576,
120.57902671359027,
119.89388381130966,
119.21268879728,
118.53517273872379,
117.86107315354757,
117.19013421664143,
116.52210693995302,
115.85674932760675,
115.19382650737063,
114.53311083979717,
113.87438200638181,
113.21742707809268,
112.56204056563112,
111.90802445278064,
111.25518821419371,
110.60334881894231,
109.95233072112974,
109.30196583888488,
108.6520935232177,
108.00256051831718,
107.35322091391727,
106.70393608727449,
106.05457463125946,
105.40501228280807,
104.75513191443801,
104.10482365066709,
103.45398484935673,
102.80251888320748,
102.15033180056025,
101.4973328588473,
100.84345841728917,
100.1887186196655,
99.53314501230578,
98.87640675236041,
98.21727386165655,
97.55444815742433,
96.8914787267278,
96.2467303241321,
95.66343118025439,
95.20923903664297,
94.95774262774287
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2227"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.7961286081253,
269.0284090004767
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
260.9709701731037,
260.73080644215236,
260.2992346732981,
259.74975381674494,
259.1498873820917,
258.54268545166894,
257.94629142071716,
257.3639906824387,
256.7941800699822,
256.2352845389711,
255.68658946543763,
255.14770542071128,
254.6181860486635,
254.09747749415672,
253.5849670307507,
253.0800090252804,
252.58192766210777,
252.09001590515155,
251.60353668211422,
251.12172536073606,
250.64379244261448,
250.1689262045962,
249.6962953392726,
249.22505164672776,
248.7543327810175,
248.28326503694444,
247.81096616360708,
247.33654819419624,
246.85912028242427,
246.3777915358682,
245.8916738363918,
245.3998846378723,
244.9015497316116,
244.3958059700035,
243.88180393924728,
243.35871057214845,
242.8257116923333,
242.28201448152117,
241.7268498618486,
241.15947478561725,
240.57917442524376,
239.98526425662206,
239.37709202956262,
238.754039619452,
238.11552475477043,
237.4610026156202,
236.78996729894453,
236.10195314665845,
235.39653593346327,
234.67333391167438,
233.93200871095593,
233.17226609142176,
232.39385654912766,
231.5965757735449,
230.78026495716327,
229.94481095792435,
229.09014631572882,
228.21624912479197,
227.32314276413956,
226.41089548903747,
225.47961988663133,
224.52947219953734,
223.56065152156575,
222.5733988701792,
221.56799614068032,
220.54476494749218,
219.50406535823458,
218.446294526612,
217.37188523040984,
216.2813043211491,
215.1750510921697,
214.05365557210231,
212.91767675084625,
211.7677007452971,
210.60433891216078,
209.42822591525277,
208.24001775471203,
207.04038976555717,
205.83003459298166,
204.60966015172326,
203.37998757675197,
202.1417491724032,
200.8956863669363,
199.64254767932846,
198.38308670491713,
197.1180601262866,
195.8482257555528,
194.57434061394167,
193.29715905427562,
192.01743093168926,
190.73589982758375,
189.45330133150648,
188.17036138530702,
186.88779469357587,
185.60630320402063,
184.32657466107483,
183.04928123567242,
181.77507823375626,
180.50460288572174,
179.23847321863363,
177.97728701269003,
176.72162084305086,
175.47202920779475,
174.22904374242398,
172.9931725209998,
171.76489944366372,
170.5446837099853,
169.33295937727257,
168.13013500269133,
166.93659336776278,
165.7526912835486,
164.57875947458564,
163.41510253940396,
162.2619989852488,
161.11970133443185,
159.98843629955962,
158.86840502472594,
157.75978338961428,
156.66272237333015,
155.57734847467907,
154.5037641855145,
153.44204851371134,
152.3922575522642,
151.3544250909741,
150.32856326716455,
149.3146632518636,
148.31269596789826,
147.32261283637123,
146.3443465480293,
145.377811856083,
144.42290638710173,
143.4795114666833,
142.54749295668321,
141.62670210088464,
140.71697637609523,
139.81814034577008,
138.93000651338036,
138.05237617287435,
137.1850402537099,
136.3277801580741,
135.48036858804795,
134.64257036061687,
133.8141432085748,
132.9948385655171,
132.18440233326692,
131.38257563022634,
130.58909551929406,
129.8036957141356,
129.02610726273832,
128.25605920732488,
127.49327921983863,
126.73749421234947,
125.98843092186098,
125.24581646912691,
124.50937889120802,
123.77884764761775,
123.05395410001805,
122.33443196553313,
121.62001774385062,
120.91045111837475,
120.2054753317852,
119.50483753643907,
118.80828912013004,
118.11558600778979,
117.42648893978169,
116.74076372749522,
116.05818148700207,
115.37851885158162,
114.70155816396404,
114.02708764917426,
113.35490156888923,
112.68480035824582,
112.01659074605588,
111.35008585939664,
110.68510531354237,
110.02147528819641,
109.35902859102643,
108.69760470968498,
108.0370498536199,
107.37721698604406,
106.71796584337106,
106.0591629384016,
105.40068156130648,
104.74240184093014,
104.08421092808587,
103.42600304071632,
102.76767830601182,
102.1091394785194,
101.45029252747945,
100.79107057989033,
100.13148065004526,
99.47155130061346,
98.81094889026193,
98.14844086306678,
97.4827267109519,
96.81735347594903,
96.17068417177698,
95.58594561235924,
95.13079446270241,
94.87881873287607
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2252"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.65147698619676,
270.198311919783
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
261.78537214463364,
261.5418096258291,
261.10345151185476,
260.5438191731496,
259.93046964748663,
259.3064975311579,
258.690101557052,
258.08463307831124,
257.4885652704392,
256.90040953643864,
256.31954749095905,
255.74569538626648,
255.17852160684316,
254.61759568300246,
254.06243647323973,
253.5125376547206,
252.96736994660864,
252.42637954634162,
251.888988765377,
251.35459793642377,
250.82258751996486,
250.29232014241086,
249.76314261980684,
249.23438802168033,
248.7053777809842,
248.17542383820168,
247.64383080860893,
247.10989816469063,
246.5729224266102,
246.03219935351473,
245.48702612831144,
244.93670352857455,
244.38053807634716,
243.817844159736,
243.2479461193464,
242.67018029277827,
242.08389701060125,
241.4884625374501,
240.88326095212543,
240.26769596085245,
239.6411926381364,
239.00319908996,
238.35318803439102,
237.69065829500823,
237.01513620290805,
236.32617690342138,
235.62336556404938,
234.90631848051493,
234.17468407822363,
233.4281438068313,
232.666412926022,
231.88924118101244,
231.0964133667095,
230.2877497798597,
229.4631065589386,
228.62237591193306,
227.7654862325701,
226.89240210593806,
226.00312420483027,
225.0976890785161,
224.1761688360058,
223.23867072622554,
222.28533661785545,
221.31634238190142,
220.33189718037707,
219.33224266475654,
218.31765208812726,
217.28842933521898,
216.24490787471382,
215.18744963844918,
214.1164438323105,
213.0323056837761,
211.9354751312166,
210.82641546017325,
209.7056118919341,
208.573570129804,
207.43081486851528,
206.2778882722561,
205.1153484268029,
203.9437677712281,
202.76373151462107,
201.57583604320507,
200.38068732315745,
199.1788993043469,
197.97109233008862,
196.7578915578882,
195.53992539599886,
194.31782396045392,
193.09221755705943,
191.86373519264203,
190.63300311964392,
189.40064341794312,
188.1672726175524,
186.93350036561856,
185.69992814090168,
184.4671480186683,
183.23574148867897,
182.00627832869543,
180.77931553567257,
179.55539631654065,
178.33504914022132,
177.11878685226065,
175.90710585320423,
174.70048534158263,
173.49938662212443,
172.3042524795662,
171.11550661818785,
169.9335531669669,
168.75877625001772,
167.5915396217634,
166.4321863660768,
165.28103865842758,
164.13839758988132,
163.00454305161642,
161.8797336784567,
160.76420684975923,
159.65817874585247,
158.5618444580847,
157.47537815042307,
156.39893327043293,
155.33264280737097,
154.27661959504144,
153.2309566569921,
152.1957275915666,
151.17098699428183,
150.15677091496318,
149.1530973470445,
148.15996674642722,
147.1773625772894,
146.2052518822432,
145.24358587425772,
144.29230054778918,
143.35131730659933,
142.42054360578527,
141.49987360559814,
140.5891888346874,
139.68835886047495,
138.79724196443675,
137.91568582014867,
137.0435281720375,
136.18059751286728,
135.32671375808414,
134.48168891523864,
133.64532774680492,
132.81742842481654,
131.99778317584344,
131.18617891493767,
130.38239786728303,
129.5862181763871,
128.79741449776196,
128.0157585771432,
127.2410198124012,
126.47296579840105,
125.7113628541681,
124.95597653181402,
124.20657210677439,
123.46291504900161,
122.72477147484722,
121.99190857945362,
121.26409504955893,
120.54110145669732,
119.82270063085325,
119.10866801469867,
118.39878199860982,
117.69282423672324,
116.99057994434871,
116.29183817711159,
115.59639209224636,
114.90403919250876,
114.21458155321459,
113.52782603295007,
112.8435844685313,
112.16167385481913,
111.48191651001748,
110.80414022709188,
110.12817841194898,
109.45387020907474,
108.78106061551932,
108.10960058425317,
107.43934711699575,
106.77016334356932,
106.1019185838212,
105.43448840593258,
104.76775474342303,
104.10160613232014,
103.43593780817942,
102.77065059787068,
102.10564768500085,
101.44083524205816,
100.77614641563949,
100.11158809537721,
99.44718861152113,
98.78261401606676,
98.11663140258443,
97.44793989590252,
96.78008617836537,
96.1314329320989,
95.54520668484946,
95.08906387477246,
94.83659235487629
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2277"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.56166014433421,
271.06030435517573
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
262.3736807436102,
262.12745768366153,
261.683787065229,
261.1162073840822,
260.4923012902847,
259.8551973888685,
259.2231366977862,
258.5995209823036,
257.98288177929095,
257.3717965966939,
256.765720664974,
256.16445110424553,
255.56774413493463,
254.97526378346055,
254.38662973386658,
253.8014424660971,
253.21928510699928,
252.63972147561162,
252.0622963107815,
251.4865367547155,
250.91195402190877,
250.338044987486,
249.76429375061016,
249.19017322931643,
248.615146794522,
248.0386699330957,
247.46019193081202,
246.8791575690185,
246.29500882974898,
245.70718660388218,
245.11513239678425,
244.51829002586916,
243.91610730458456,
243.30803770742244,
242.6935420106569,
242.0720899036306,
241.44316156554785,
240.80624920288918,
240.16085854273345,
239.50651027746324,
238.8427414565322,
238.16910682119172,
237.48518007830538,
236.79055510962343,
236.08484711314458,
235.3676936734574,
234.63875575822766,
233.89771863827994,
233.1442927290107,
232.3782143511631,
231.59924640929364,
230.80717898655976,
230.0018298547632,
229.18304489888493,
228.35069845565204,
227.50469356597762,
226.6449621414121,
225.7714650450393,
224.8841920875385,
223.98316193941596,
223.0684219606843,
222.14004794953482,
221.19814381180393,
220.242841153283,
219.2742987971549,
218.29270222906607,
217.29826297255246,
216.29121789773683,
215.27182846639832,
214.24037991668462,
213.1971803908927,
212.1425600098827,
211.07686989781445,
210.00048116100345,
208.9137838247866,
207.81718573236307,
206.71111140963657,
205.59600090012972,
204.47230857406848,
203.34050191574812,
202.2010602932887,
201.05447371486994,
199.9012415755028,
198.74187139834675,
197.5768775745216,
196.4067801052871,
195.23210335037686,
194.0533747861724,
192.87112377729352,
191.68588036505705,
190.49817407612628,
189.30853275452978,
188.11748142007997,
186.9255411560628,
185.7332280289062,
184.54105204236353,
183.3495161285727,
182.1591151781707,
180.97033511145983,
179.78365199243476,
178.59953118729098,
177.41842656884592,
176.24077976811287,
175.06701947407979,
173.8975607825555,
172.7328045947601,
171.57313706615278,
170.4189291058096,
169.27053592648792,
168.1282966453421,
166.99253393508894,
165.86355372526023,
164.74164495302526,
163.62707936291804,
162.52011135466324,
161.4209778781609,
160.3298983745644,
159.24707476226814,
158.17269146651145,
157.10691549120477,
156.04989653149005,
155.00176712546454,
153.96264284342087,
152.93262251288968,
151.91178847771343,
150.90020688933,
149.8979280284046,
148.90498665491512,
147.9214023847725,
146.9471800910413,
145.98231032781715,
145.02676977481715,
144.08052170074575,
143.14351644351194,
142.21569190539415,
141.29697406127542,
140.3872774781042,
139.48650584377418,
138.59455250366008,
137.7113010030944,
136.83662563412338,
135.97039198493673,
135.11245749042678,
134.26267198239626,
133.4208782380008,
132.5869125250813,
131.76060514311308,
130.9417809585717,
130.1302599335889,
129.32585764684939,
128.52838580575352,
127.73765274894772,
126.9534639384018,
126.17562244028626,
125.40392939398023,
124.63818446861298,
123.87818630661627,
123.123732953836,
122.37462227582121,
121.63065235997703,
120.89162190333334,
120.15733058574476,
119.42757942839826,
118.7021711375635,
117.98091043357554,
117.26360436509344,
116.55006260872676,
115.8400977541692,
115.13352557502165,
114.43016528552717,
113.72983978347716,
113.03237587958262,
112.33760451363528,
111.64536095780862,
110.95548500746139,
110.26782115981642,
109.58221878094878,
108.89853226171543,
108.21662116340119,
107.53635035294108,
106.85759012453792,
106.18021630349337,
105.5041103458549,
104.82915949598079,
104.15525706329569,
103.48230255773412,
102.81020061861118,
102.13885781562279,
101.46818331490375,
100.79811289635845,
100.12865575274454,
99.45984221533962,
98.79134006096679,
98.1219178554288,
97.45027596441035,
96.77996209848504,
96.1293397715874,
95.5416361604522,
95.08450818034643,
94.83154399775674
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2302"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.52364751187599,
271.6815772294909
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAwUAAAFoCAYAAAAGkFfUAAAgAElEQVR4Xu2da6xeVbmox7rfeuEqWKRaFbuhLRYoBQQFrSLsvcWKuAtxY/hxctDEEyFEPDkhaUg8JwFDkBwS7f5FJATqBnatKFisUmCLlAKFlrsCVukGoZy2q+t+6XnfudZczDXX/K5jfPPyjWcmi7arc4455vO+XcznG+Mdo+WwHIYDAhCAAAQgAAEIQAACEPCWQAtS4G3seXAIQAACEIAABCAAAQgEBJACEgECEIAABCAAAQhAAAKeE0AKPE8AHh8CEIAABCAAAQhAAAJIATkAAQhAAAIQgAAEIAABzwkgBZ4nAI8PAQhAAAIQgAAEIAABpIAcgAAEIAABCEAAAhCAgOcEkALPE4DHhwAEIAABCEAAAhCAAFJADkAAAhCAAAQgAAEIQMBzAkiB5wnA40MAAhCAAAQgAAEIQAApIAcgAAEIQAACEIAABCDgOQGkwPME4PEhAAEIQAACEIAABCCAFJADEIAABCAAAQhAAAIQ8JwAUuB5AvD4EIAABCAAAQhAAAIQQArIAQhAAAIQgAAEIAABCHhOACnwPAF4fAhAAAIQgAAEIAABCCAF5AAEIAABCEAAAhCAAAQ8J4AUeJ4APD4EIAABCEAAAhCAAASQAnIAAhCAAAQgAAEIQAACnhNACjxPAB4fAhCAAAQgAAEIQAACSAE5AAEIQAACEIAABCAAAc8JIAWeJwCPDwEIQAACEIAABCAAAaSAHIAABCAAAQhAAAIQgIDnBJACzxOAx4cABCAAAQhAAAIQgABSQA5AAAIQgAAEIAABCEDAcwJIgecJwONDAAIQgAAEIAABCEAAKSAHIAABCEAAAhCAAAQg4DkBpMDzBODxIQABCEAAAhCAAAQggBSQAxCAAAQgAAEIQAACEPCcAFLgeQLw+BCAAAQgAAEIQAACEEAKyAEIQAACEIAABCAAAQh4TgAp8DwBeHwIQAACEIAABCAAAQggBeQABCAAAQhAAAIQgAAEPCeAFHieADw+BCAAAQhAAAIQgAAEkAJyAAIQgAAEIAABCEAAAp4TQAo8TwAeHwIQgAAEIAABCEAAAkgBOQABCEAAAhCAAAQgAAHPCSAFnidAlo+/7IKrzIXnrzK33vjdLLvBvSEAAQhAAAIQgID3BAojBfoCGT+WL11iNm5Y35Ag/ugn95g7Nj5kHrzrJrP4hOMacg/fG22EFDSizTBOtbb9+PZd5urrbzE3XHOluWLtmlnhvnb97WbLth1mw83XmfNWr8hFKpTrr00Hw2eNtlHquZPOvWrdReb737l8ThfC/kb/Iunf65633jEXf/MHs65v5M8OG1ZcCwEIQAACEMiKQO6l4O5NW80Pf3znnE+UwxeCY45aaLbdf5tzfkiBc6RzGqz1JbuaHjWiTaSgGvLJ5yTJT/hvKy5L4fejwhD+O4+PKIU/F6JtJP2bDYUgLgGaJ4362VE/La6EAAQgAAEIZEcg91Kg//Mu96mevnQ0YvoJUtD4pGzEC3wj2myEFDSebu13aMRIQal/n+df+r2gg1Gh139zSSMC666+0ex+5Q3zwiN3zDyUXn/8sUfNGSnU75++4qSZnwkqBRs3/35Ou0lSUTsxroAABCAAAQg0D4FCSEE1887L/U8+fNmJTkNImqYQTj0IhSAe5uinkklTEuJTIvRl5u133zf/+3/+t2AaSXiEkhP2Ofx+Nc8Znhu/Vr8f7V/0BW/7sy8FU1XCI/4JbVJb8fb0z1FRuvJ//B/z3vsHZtpMmrahL2jRc+KfzIYv8KtPOzkYDarEIXw5LHVe0hSzSp8GJ8VR24/Hota2k6a2RNtNks6Qx6LjjwmmroVHmLfxnE2alqTXxLmXmn4Tze9K/XX9Iy/8t1HNKF/83DBmSc8VMooKRFLfGyFArhnRHgQgAAEIQCBNArmXgvAFp5q510mfPirM+EtFqU8e9dzwJaXcSEH4Eh19KUmSkvA+0ZGO6Eto0vereYFLmmYRvgyFL+fRl7xKUyy075sefHzWp67lpmcop6gEJPGMj/CEzx192Q5ftKPfK/WyljRiVOp7tchV2K/oS2RSX/WZax2FKPfiWUoK9D5JeVXq+9F/F0lTZUo9Sz0vyklilNROpRfykGU18/rLTSlKkqJqR/iS2k3zBy/3ggAEIAABCOSNQO6loNQnuUkvz+GLbNKLUvQFotTLXXT6QrmXi1LX64v5M7temxGLUp+Glpv6kDQlIp40pdrV5z/3zOVBYXSpF9Jyn7LG7xOfilGKSbzNSi/D4RSRUhzjfErdN+k+tb64l/oHGY9lWlIQF5pS8Ur6frm80JGYSkXzaX16HgpsqZGOkLX+miQO5UYFq5GCkF2lUaS8/bCmPxCAAAQgAIFGEsi9FEQfPj59RP8uaZpH9HvhS0J8PrJOayn3qXwtL6JhH+P3KvWSVuv34wkQvlSV+6S1HimotMJTuReu6It8VOTKjfBUKwXlpprE26hXCpJyS7lH86bWtivJUXx1q1LtV/v9UueF/ag02paGFIQv9NWMEij/pEJjWymoZfSxkT98aRsCEIAABCCQJwKFkoKkT8y1ADH6shN/cdUXpaSX//i8a227XDvhvUvNv4/2LfxEttaX/1rmWVdaurEWKQjbigtWtZ/Y67PHzy01wlPNS3a8rVIjK3rf+BSiWl/cw3jGPzVOmptea9tpSkEp3tG8LPfJfPQFvNR5ttOHahWCuGzHp8bVM30IIcjT/37oCwQgAAEI5IlAoaWg1CeGoQh85MPHBgWslaZNRF+owpfWSiMFlT511SA3UgriSRR/2alFCqr9xL6eKVVxmYp+QlztfRs5UlCq7aJJQShI1dSklPoB1MiRgnqFQPsan/9fb6ExQpCn//XQFwhAAAIQyBuBXEtBqeUES32CGH4/nA+u8/MXHX/0rCVLS7UZf+ENX2KShKLaT4wbJQVJyzzGX+iqlYJyL1jVjhTE76XsTlz0oTmbcsV5VCsFlQQt+olxvA6i0j+4UqMQSVJQa9sh22o/0a52mlD4TPHzaxlpSuJSrr+VOJb7+zB+lQrASy1fGi+i13tVuyRplJX+vtIHBDbPybUQgAAEIACBIhPIvRSEO5HGP5kvtamZBiP6yX/8JaDUZkbxlYvKvSwnrT4U3leX6gxXMGqUFISfeEan4pRafSj+Qpr0XEmrNoX3iH6yX2rFlvgUniQ+pVYfSnpRTHrh03skLWkan5te7ZKUUYHU5VqjeRKdmpXEuJrVdcL2S728lluSNL7vRrWyUCq3w5foO//v/6q4O3e5qVr1/KCrpqg4ykprfaJ8Q07xEZBaNy+jqLie6HENBCAAAQj4RCDXUhB/WYgHptynfuVebpLWZC+3ykl430r7FOh50ZeXRkmB3idpfnf0ZarakYJSjJWtCk50NaTwBU1fsKL7DyS92Cft9RB/sat2pCDsY6V9CpKepZqXwaT1/8O9HeICEK1Fqabt+Fz/kFUjpKDcv5dqC3tL9bfeH4pJtTvRtuI5UanWJ3pt0r/j+M+EamqAapG8ejlwHQQgAAEIQCDvBAohBbVCTFqatNY2OH8ugWqWe4QbBCAAAQhAAAIQgEDxCDSlFJTaxKx44clXj5GCfMWD3kAAAhCAAAQgAAFXBJpOCsqtYe4Kmq/tIAW+Rp7nhgAEIAABCECg2Qk0nRQ0e8B4PghAAAIQgAAEIAABCLgmgBS4Jkp7EIAABCAAAQhAAAIQKBgBpKBgAaO7EIAABCAAAQhAAAIQcE0AKXBNlPYgAAEIQAACEIAABCBQMAJIQcECRnchAAEIQAACEIAABCDgmgBS4Joo7UEAAhCAAAQgAAEIQKBgBJCCggWM7kIAAhCAAAQgAAEIQMA1AaTANVHagwAEIAABCEAAAhCAQMEIIAUFCxjdhQAEIAABCEAAAhCAgGsCSIFrorQHAQhAAAIQgAAEIACBghFACgoWMLoLAQhAAAIQgAAEIAAB1wSQAtdEaQ8CEIAABCAAAQhAAAIFI4AUFCxgdBcCEIAABCAAAQhAAAKuCSAFronSHgQgAAEIQAACEIAABApGACkoWMDoLgQgAAEIQAACEIAABFwTQApcE6U9CEAAAhCAAAQgAAEIFIwAUlCwgNFdCEAAAhCAAAQgAAEIuCaAFLgmSnsQgAAEIAABCEAAAhAoGAGkoGABo7sQgAAEIAABCEAAAhBwTQApcE2U9iAAAQhAAAIQgAAEIFAwAkhBwQJGdyEAAQhAAAIQgAAEIOCaAFLgmijtQQACEIAABCAAAQhAoGAEkIKCBYzuQgACEIAABCAAAQhAwDUBpMA1UdqDAAQgAAEIQAACEIBAwQggBQULGN2FAAQgAAEIQAACEICAawJIgWuitAcBCEAAAhCAAAQgAIGCEUAKChYwugsBCEAAAhCAAAQgAAHXBJAC10RpDwIQgAAEIAABCEAAAgUjgBQULGB0FwIQgAAEIAABCEAAAq4JIAWuidIeBCAAAQhAAAIQgAAECkYAKShYwOguBCAAAQhAAAIQgAAEXBNAClwTpT0IQAACEIAABCAAAQgUjABSULCA0V0IQAACEIAABCAAAQi4JoAUuCZKexCAAAQgAAEIQAACECgYAaSgYAGjuxCAAAQgAAEIQAACEHBNAClwTZT2IAABCEAAAhCAAAQgUDACSEHBAkZ3IQABCEAAAhCAAAQg4JoAUuCaKO1BAAIQgAAEIAABCECgYASQgoIFjO5CAAIQgAAEIAABCEDANQGkwDVR2oMABCAAAQhAAAIQgEDBCCAFBQsY3YUABCAAAQhAAAIQgIBrAkiBa6K0BwEIQAACEIAABCAAgYIRQAoKFjC6CwEIQAACEIAABCAAAdcEkALXRGkPAhCAAAQgAAEIQAACBSOAFBQsYHQXAhCAAAQgAAEIQAACrgkgBa6J0h4EIAABCEAAAhCAAAQKRgApKFjA6C4EIAABCEAAAhCAAARcE0AKHBDdu2/IQSs0AYFkAvN62k1LS4vpHxwDEQQaRkDzrFXy7CB51jDGNGzMvG7Js1byjFxoDIFFR/c0pmFPWkUKHAQaKXAAkSZKEkAKSI40CCAFaVDmHkgBOdBIAkiBHV2kwI5fcDVS4AAiTSAF5ECmBJCCTPF7c3OkwJtQZ/KgSIEddqTAjh9S4IAfTZQnwEgBGZIGAaQgDcrcAykgBxpJACmwo4sU2PFDChzwowmkgBzIngBSkH0MfOgBUuBDlLN7RqTAjj1SYMcPKXDAjyaQAnIgewJIQfYx8KEHSIEPUc7uGZECO/ZIgR0/pMABP5pACsiB7AkgBdnHwIceIAU+RDm7Z0QK7NgjBXb8kAIH/GgCKSAHsieAFGQfAx96gBT4EOXsnhEpsGOPFNjxMyfufsksMC1mcXuH+Zh8fbSj03xUf53+s2XzXA4BQ6ExSZAGAaQgDcrcAykgBxpJACmwo4sU2PEzLc8+X7aFj7S3myUiCJ8UWTipo8t8Sr6Wy9d82byFAwLVEEAKqqHEObYEkAJbglxfDQGkoBpKnFMvAaSgXnJT1yEFdvzM/okJ84e/HzR/GR8ze8bHzetjI/L7cfPm+Kh5R/6u1HGiyMIyFYSubnNqZ7c5RaThw23tlr3h8mYkgBQ0Y1Tz90xIQf5i0ow9QgqaMar5eSakwC4WSIEdv+DqcpuXvTo2KqIwal4WSXh1dNT8WaRht/w56TiqpdWs6Ooyyzq7zKldPSIKXeYTMsrA4TcBpMDv+Kf19EhBWqT9vg9S4Hf8G/30SIEdYaTAjl9FKUhqfvzw4UASXhQ52D08LL+OmBfGhs3BycNzTu8TUdBRBBUFHVVYLr/+Q3un6Whh+pGD0BWiCaSgEGEqfCeRgsKHsBAPgBQUIkyF7SRSYBc6pMCOX11SUOqWf5NpR1OCIKMJIyILMrLw14kxE1cFnWT0KREFFYQVIgo6DWmZTEGahyg4iGb+mkAK8heTZuwRUtCMUc3fMyEF+YtJM/UIKbCLJlJgx8+pFCR1ZeDwpNk9OiKCILIw/fWKjDCMxFRBxw10xSMVBBWFQBjk65jWNgdPSBNZEkAKsqTvz72RAn9ineWTIgVZ0m/+eyMFdjFGCuz4NVwKkrqn5ct/FjF4Qb9GhoKRBRWGfZOTc04/VqRABUFXPFrRLbIgv+ryqUw+chD4lJpAClIC7fltkALPEyClx0cKUgLt6W2QArvAeyEF166/3WzZtmOG1FXrLjLf/87lM39ed/WNZvcrb8wiGT0nev3ypUvMxg3rZ51brtDYLjy1Xf13We0oFIQXZPqR/v4NWRUprgrzZZrRKR0y7UhHE6ZFQacjsfZRbbzTOhspSIu03/dBCvyOf1pPjxSkRdrP+yAFdnH3Qgr0pT98kd/z1jvm4m/+wGy4+Tpz3uoVAT39+1Url84ShRDr3Zu2mp/+bLPZdv9tJc/NixQkpYJOMwqnHgXTkEQUXpJahUGZlhQ9tHBZC5iDUQWpT1guqyBpgXOvFDpzZEsAKciWvy93Rwp8iXS2z4kUZMu/2e+OFNhF2AspiCM6/9LvmW9/6xJzxdo1FaUgLgxxSdAG8iwFSemhhctvRFY/0hEFlYW3Y/sqqA7oLs3B1CMtaA6EocscTZ2C3b+6Gq9GCmoExul1EUAK6sLGRTUSQApqBMbpNRFACmrCNedkL6Vg2QVXzRkpiE4fik4digvE49t3mauvv8W88MgdMzCLJgWlUuag1CQ8L6MJu4PVj4aM7rGgdQvx47g2qVPQjdd0PwUZVfhUZ6f5uIwycDSGAFLQGK60OpsAUkBGpEEAKUiDsr/3QArsYu+dFGh9wN63982pCwgxhi/94fQiFYgbrrlyZlQh/PsH77rJLD7huOCyQ0NjdlHI+dXPyl4Ku3SJVPl6dmjE7JI/98emH+kjqCScLNOOVvb2BCMLK7u7zJGMKlhHt6O9VQrDW8zoeOkdsqu7CeXl1XHy76xJ+UCgq7PNtMg0wtGxuQsW+EeEJ24UgY52+WlmlWdz9/NpVF9pt3gE5vWw4atN1LySAhWCZ3a9NlMfUApcdMpQNSMFBwaaWwqSOP1FCphVDp6Xrz8MDZodw0NmWDZlix8ntLfL7szdU189PcHIwokdlDTX8o+2q0Mmcsn7/Mio7csa/zOthbtP507Kv92ezvZgVbLhMVv59Ikcz1orga52lU+bPOPDjVqZ+3T+wj6kwCbe3khBtUKgMKNS0Iw1BTYJU+7ap0aHzC6dfiSiEGzAljD1SK9f2Noa7KGgU5B00zUdYdDVjziSCTB9iMxIgwDTh9KgzD2YPkQONJIA04fs6HohBfpir0d8KVH9nq5GdOu//bu59cbvBudoIfEPf3ynCacHFX31Ibv0sLt6XD59fFVGFLRGQUcVdC+FF8d06tHcT6y75TPKk6cLmadWQJKpSPLVxY4KBimwy0Ouro4AUlAdJ86yI4AU2PHj6vIEkAK7DGl6KQiXII1jOuaohTPTiLRuIHpElyvV7xdlnwK7VEjnatWBPRFRCIqaRRbenZw7ZUH3Yv5ER2T1I9lbQWVBRxp8OpACn6Kd3bMiBdmx9+nOSIFP0U7/WZECO+ZNLwV2eKq7ullWH6ruaRtz1nsiBSoH+qVFzSoLWreQNAv+I1KnEKx+pMukTq+CtKiteesUkILG5BytziaAFJARaRBACtKg7O89kAK72CMFdvyCq5ECBxATmjgk04xeGJ2uT5DpRyoKr0idwnjCuUfK6EEw7UjrFLp6gl91lKEZxhSQgsbkF60iBeRA+gSQgvSZ+3RHpMAu2kiBHT+kwAG/WpoYE1F4RTZe0xGFF0amRha0TkEFIn70ROoUgs3XRBROlj0VOgtWp4AU1JIhnFsvAUYK6iXHdbUQQApqocW5tRJACmolNvt8pMCOH1LggJ9tE6oDb4Z1CjL1SGVBVz9KqlPQSUafkJWOdFRhhax8pLs0r5Bahfmt+V3mDimwzRCur4YAUlANJc6xJYAU2BLk+nIEkAK7/EAK7PghBQ74NaqJv09IncJ0IfMumYa0W2ThrxPJdQonSp2CjiToiMLUUqld5sM5qVNAChqVIbQbJYAUkA9pEEAK0qDs7z2QArvYIwV2/JACB/zSbEKXQ31RBUGXSdWCZhGF12Q6UlKdwlEtUqcgOzRPLZGq04+6zcczqFNACtLMEH/vhRT4G/s0nxwpSJO2f/dCCuxijhTY8UMKHPDLugmtU3h5uk5ht4pCUKcwagYPz91BuFdEQesSdDQhrFP4hwbXKSAFWWeIH/dHCvyIc9ZPiRRkHYHmvj9SYBdfpMCOH1LggF9em/jT2Jh5aXzEPD8yFGy8tktGFd5PEAXt/yoZSVjd3W3O6e4zq2X1o3kt7moUkIK8Zkhz9QspaK545vVpkIK8RqY5+oUU2MURKbDjhxQ44FekJv5rYjwYRXg+qFGYWi71r+NzJx+tkJGEs7t7zNkiCGd395ojLDZcQwqKlCHF7StSUNzYFannSEGRolW8viIFdjFDCuz4IQUO+BW9if2Tk+aPw4PmjzKi8IT8ulukIX4slRWPPqOSIIKgonBMq+7XXN2BFFTHibPsCCAFdvy4ujoCSEF1nDirPgJIQX3cwquQAjt+SIEDfs3WhO6Z8JQIwpNDg2a7jCbslFGFkdjezB9t65CpRt0iCX3mLPl1sfy51IEUNFuG5PN5kIJ8xqXZeoUUNFtE8/U8SIFdPJACO35IgQN+zd6EFjLvlA3WnpJdmXVEYYdIwgEZXYgei2T507NkOVStSdBpR59o/0ASkIJmz5B8PB9SkI84NHsvkIJmj3C2z4cU2PFHCuz4IQUO+PnWhG62prsybx+W0QT52i6jCnulViF6HCvTi7Rg+RwRhC8snG+WyWjCocEx31DxvCkSQApShO3xrZACj4OfwqMjBXaQkQI7fkiBA340YcxbUqy8XUYQnpSRhCdHBs1rsvKRykN4HBFIgk430uLl3mDvhOqrEiAMgcoEkILKjDjDngBSYM+QFkoTQArssgMpsOOHFDjgRxNzCfRPHpbCZa1JkOlGssLRTpl6NCrTkMKjT/ZLOFOWQT27pzeoSThdNlZrd7gMKjHxjwBS4F/Ms3hipCAL6v7cEymwizVSYMcPKXDAjybKE9CXNV3P6NH9/UHhso4mPC1TjnR35vDoMi3mdB1JCKYc9ZpVIgr6PQ4IVEsAKaiWFOfZEEAKbOhxbSUCSEElQuX/Himw44cUOOBHE5WloEVGAfpjNQW7ZARhapUjWQpVRhT2xYqXdUO1M0UUzu2R4mX5tUdGFzggUIoAUkBupEEAKUiDsr/3QArsYo8U2PFDChzwo4n6pCB+1etSvLxDdl5+WkYSfifLocaLl8+XeoQv9s4zXxJJOLHMEqjEw08CSIGfcU/7qZGCtIn7dT+kwC7eSIEdP6TAAT+acCMF8VaelcLlXw/2m4cGB8zr47NXLtLN1L4ocvDF3j6zurOHEEDAIAUkQRoEkII0KPt7D6TALvZIgR0/pMABP5pojBREW90zMWZ+OzRgtoogPCHLoEY3U1vY2mo+L/sj6CjCF6QeQf/M4R8BpMC/mGfxxEhBFtT9uSdSYBdrpMCOH1LggB9NNF4KoncYlsVO/yBisHXwUDDNSIUhPHSZ09OlFuFLIghrZBThH9o7CY8nBJACTwKd8WMiBRkHoMlvjxTYBRgpsOOHFDjgRxPpSkH8bn+WqUW/01GEoUOyspEsfRrZIeEE2Wl5jUwzUkk4T2oSOlnRqGnTFSlo2tDm6sGQglyFo+k6gxTYhRQpsOOHFDjgRxPZSkH07oOHJ83jOooggvB7GUV4K7LTcrcIgYqBCoLWIxwvwsDRPASQguaJZZ6fBCnIc3SK3zekwC6GSIEdP6TAAT+ayI8UxHvy6tio+Z2sZrRVCpZ1j4TxyAmnSLHyGqlFUEk4TZY8pRKh2JmMFBQ7fkXpPVJQlEgVs59IgV3ckAI7fkiBA340kV8piPZsQEYRHpPRAy1Y/v3wgHl7YmLmr4+SPRA+LzUIOoLw+e55Zn4rG6cVLa+RgqJFrJj9RQqKGbei9BopsIsUUmDHDylwwI8miiEF8V6+pKMI0ysaPT06NDOKoJOKVsnOykGxsowknNTRQYgLQAApKECQmqCLSEETBDHHj4AU2AUHKbDjhxQ44EcTxZSCaK/7Jw+bR0cGzBZZ0egRGU14b/KDUYTFslHamt5eGUWYZ85iZ+XcpjtSkNvQNFXHkIKmCmfuHgYpsAsJUmDHDylwwI8mii8F8Sd4XnZWfkRqEX4rBctPSy1C9Ph0Z5c5VwqWv9w736yS5U858kEAKchHHJq9F0hBs0c42+dDCuz4IwV2/JACB/xoovmkIPpEByYnzTapQdBRBN1deSiy5OlH2tvNWpGDS/oWmGVSuMyRHQGkIDv2Pt0ZKfAp2uk/K1JgxxwpsOOHFDjgRxPNLQXxp3tI6hAektWMfiWCoEughseS9g7z9XkLzFelFuHjbJqW+j8LpCB15F7eECnwMuypPTRSYIcaKbDjhxQ44EcTfklB+LRjhw/LfggDZrOMIDwsv0YFYbmMGny1b6FZ2zfPLGI/hFT+iSAFqWD2/iZIgfcp0FAASIEdXqTAjh9S4IAfTfgpBdGnHpEpRSoGmw/1B6IwPD3FSBc2PUPqDr46T6YYyTSjY1rbSJcGEUAKGgSWZmcRQApIiEYSQArs6CIFdvyQAgf8aAIpiBIYkilFvxEx+OVAvyx5OmhGpwVBdeAcKVBeK/UH/ygrGS1sZbs0l/92kAKXNGmrFAGkgNxoJAGkwI4uUmDHDylwwI8mkIJSBHTDNC1O3jxw0GwbGTI65UgP3Qvhgu5es3beQnNhT6/pk83TOOwIIAV2/Li6OgJIQXWcOKs+AkhBfdzCq5ACO35IgQN+NIEUVJMD/SIED8oSp784dNA8Lsudjk9f1G1azBrZSflrffNlP4Q+0yl/5qidAFJQOzOuqJ0AUlA7M66onsiClTAAACAASURBVABSUD2rpDORAjt+SIEDfjSBFNSaA7rM6a9VEGQE4Q/DQybcKm1eS4vsfzBPBGGB+ayMJOiIAkd1BJCC6jhxlh0BpMCOH1eXJ4AU2GUIUmDHDylwwI8mkAKbHNgvgvBLWeL0F1KD8KRMMQoXOT1Sag609mCtLHN6dlePYYJR5TxrFak6ODhmEw6uhUBZAkgBCdJIAkiBHV2kwI4fUuCAH01UfllrkZe1fl7WKqbKe5MTQYHy5oFD5qnRD7ZJ+5CsWvQVWb1orUwxOr2LXZSTQDJSUDG9OMEBAaTAAUSaKEkAKbBLDqTAjh9S4IAfTSAFjciBd0UQdPRAv54dDRc5NeZE2UVZlzfVVYxOYRflGfRIQSOykDbjBJACcqKRBJACO7pIgR0/pMABP5pAChqdA/81MW5+IZuk6SpGz42OzNzupI4O2SRtgfmaSMLHZEdlnw+kwOfop/fsSEF6rH28E1JgF3UvpODa9bebLdt2zJC6at1F5vvfuXzmz3veesdc/M0fzPx5w83XmfNWr5j5c/T65UuXmI0b1s+ivnffkF0UuBoCZQjoyxrTh9ylyJ6JMRk9mBKEF8dGZxpeJqMG/ySCcIkUKi/xUBCQAnc5RkulCSAFZEcjCSAFdnS9kIJ1V9848yIfCkD0xf/8S79nvv2tS8wVa9eYx7fvMldff4t54ZE7ArJ3b9pqfvqzzWbb/bcFf9a2Vq1cOksqkAK7JOTq8gSQgsZlyBvjY2azjCBsGjhgXh37oMD2UzKCsLZvofmG1CAsavNjDSOkoHF5RssfEEAKyIZGEkAK7Oh6IQVxROUkQM+N/n1cAuKSoOcjBXZJyNVIQR5yQAXhlyIIv5IRhN3TIwi648GZnT3mMlnBSOsQ5rc27x4ISEEesrD5+4AUNH+Ms3xCpMCOvpdSsOyCq0w4UpD0kh8VgaggKOr4SIJ+7939w3ZR4GoIlCHQ0y3Th+TvB4fD7brqxNW877N1Ail92RsyarCx/4C571C/+YvIgh6dsgLUl2RztG+IIOivHfLnZjkOy8Zwfd0dQZ4NjFjmWbNA4TkaQqCns92oW9edZ1ObmnNAIJHAsUewupxNangnBVofsPftfTPTiX70k3vMAw8/MTM9SGGqFCw6/mhz643fNSoQN1xzZTC1SI9QCh686yaz+ITjgu+Njocro9uEgmshkEygTd/U5AV0YtLy/4aWl/sanycGB81d+/eb+w4cMO9PTG2TdlRbm7l04QLzr0ccac7p7S08mvGJSdPZ0RrUrkxMkCiFD2iOH6BNNwyxybPmcfEcR6m4XetsZ0cam+h5JQUqBM/sem2WALgYKWD6kE0Kcm0lAtQUVCKUzt+Py6fpvx0eNPfK9KKtgwNm1Ey9PC9u6zCX9s2TEYSFhV7BiOlD6eSR73dh+pDvGdDY52f6kB1fb6QgSQgUXdJ0IGoK7JKKq90SQArc8nTRWr+M2myWXZTvO3TQbI9skrays8tcpkucytcRsqNykQ6koEjRKm5fkYLixq4IPUcK7KLkhRTodCA94kuJhuhYfcguibi6sQSQgsbytW19r+yBcK9skHbfoQPmT9P1B7pe0QXdvebrUn/wZVnitCuYrZ/vAynId3yapXdIQbNEMp/PgRTYxaXppSC+B0GI65ijFs5MI2KfArsk4urGEkAKGsvXZeu6Mdq9MnqgowjvyY7KesyX+dP/2DPPXDZ/oTmnqye3eoAUuMwE2ipFACkgNxpJACmwo9v0UmCHp7qrqSmojhNn1UcAKaiPW5ZXqQ5sk/oDnV70G1nmdGi6/uDDsufB16T+4F/6jjC6m3KeDqQgT9Fo3r4gBc0b2zw8GVJgFwWkwI5fcDVS4AAiTZQkgBQUOzkGDk+aX0th8n2yQdp/Dg+ZcK0y3UFZpxd9XeoPjmlty/whkYLMQ+BFB5ACL8Kc2UMiBXbokQI7fkiBA340UZ4AUtA8GfKuTCm6T+oP7pU9EF4aHw0eTMuRz+uWDdJkB+WLZf+D3pZsCpSRgubJszw/CVKQ5+gUv29IgV0MkQI7fkiBA340gRT4mAOv6QZph/ab/5D6g7en9z/QioOLRAwuk+VNPyuFymmOHyAFPmZh+s+MFKTP3Kc7IgV20UYK7PghBQ740QRS4HMO6HSiP8i0Ip1e9GupPzgk+yHocaxMKfpq73wpUF5gVnR0NRwRUtBwxNxACCAFpEEjCSAFdnSRAjt+SIEDfjSBFJADUwRGpCD5IREDXcHoUSlUHp8Go0XJOr3o0r75ZpEUKzfiQAoaQZU24wSQAnKikQSQAju6qUjBsguuqrmXy5cuKbmvQM2NNfgCCo0bDNjz5qkp8DMB3p+cNJsGDwaCoEud6qG7HZwly5peJgXKX5FRhHmy3KmrAylwRZJ2yhFACsiPRhJACuzopiYFLzxyR9U9vXvTVrPpwceRgqqJcWIzE0AKmjm61T3bm7Ip2s9lc7T7pf7gr+NT4wedoghf6tH6gwXmC1J/0G4pCEhBdbHgLDsCSIEdP64uTwApsMsQpMCOX3A1IwUOINJESQJIAckREtBqg6dGh2T1ooPmgaFD5oCMJuhxZGuruURGDnR50zO6uusChhTUhY2LaiSAFNQIjNNrIoAU1IRrzslIgR0/pMABP5ooTwApIEOSCIxJQfJvhwbMvQMHzVapP9A/6/HRtg6Rg/nmG1KgvFh+X+2BFFRLivNsCCAFNvS4thIBpKASofJ/n4oU2HUx/1czUpD/GBW5h0hBkaOXTt/7Jw+bX0zXHzw1Ojxz09M7u4PpRWtlFGGhjCaUO5CCdGLl+12QAt8zoLHPjxTY8c2NFITFyLXUHtg9ururkQJ3LGlpLgGkgKyohcDfpObgXhGE+6RA+XWpRdBD1yv6gtQf6A7KF8qvWo8QP5CCWihzbr0EkIJ6yXFdNQSQgmoolT4nUynQguIf/vjOmd49eNdNZvEJx9k9UQZXIwUZQPfolkiBR8F2/Kg7ZdTgvkP9wSjCvun6g/lSkPzPuv+BCIKuZBTqAVLgGD7NJRJACkiMRhJACuzoZiIF166/3WzZtmOm5xtuvs6ct3qF3ZNkeDVSkCF8D26NFHgQ5AY/oq5XtE3qDu7tP2C2SB3CsOyHoMcJsufB16T+YJ0Iwqnze02rCMPBwanRBQ4INIIAUtAIqrQZEkAK7HIhVSmI7ldwwzVXmivWrjH6PaTALohc3dwEkILmjm/aTzdweNI8MDggIwgHzBMjQ2Zq/SJjPi2rFl2x8AhzcWevOUZ2U+aAQCMIIAWNoEqbSIGbHEhNCkrVDCAFbgJJK81LAClo3thm/WTvTEyY+wb6ZQWjA+aVsdGgO6oDn+3qNZfNX2gu7u0z3Qn1B1n3m/sXlwBSUNzYFaHnjBTYRSlVKTjmqIVm2/23zeoxUmAXQK5ufgJIQfPHOA9P+GbrhLnn4AHz8wP7jcqCHn0treYiEQPd/+CzskFa+fWL8vAU9CHvBJCCvEeo2P1DCuzil5oUaDej04fCKUNIgV0Aubr5CSAFzR/jPDxhWGi8X2oKHh8ekhGEA+ZBmWak0430+JBMKVor9QeXzVtolnV05qHL9KGABJCCAgatQF1GCuyClaoUhF2l0NguaFztFwGkwK94Z/W0SasPaUGyisG9Un/wmBQqT40fGPOpjg7zjb6FwQjCcW3UH2QVsyLeFykoYtSK02ekwC5WmUhB2OXokqRJU4vsHi29q1l9KD3WPt4JKfAx6uk/c6UlSd+XJU3vl92Tdf+D58dGgg7qcqbnSIHy12X04Cu984LpRhwQKEcAKSA/GkkAKbCjm6kURLvO5mV2geTq5iWAFDRvbPP0ZJWkINrX18dHzc/7D5r/GOo3ulmaHl2iCLoxmu5/cIH8qhumcUAgTgApICcaSQApsKObihToC38tOxXrCMKmBx83Gzest3u6lK5mpCAl0J7eBinwNPApP3YtUhB2TXc72C7Lmv67jB78SgTh4OTU/gdHyYjBV+fND6YXndbZnfKTcLs8E0AK8hyd4vcNKbCLIVJgxy+4GilwAJEmShJACkiONAjUIwXRfo1K/cHDsjGaTi/aKr9OjR8Ys6S9Q6YXLTDf6F1gPtLO+EEasczzPZCCPEen+H1DCuxiiBTY8UMKHPCjifIEkAIyJA0CtlIQ7eMBqT/4xaDuf3DQPD0yPPNXZ8qogQrCJb3zzcJW6g/SiGve7oEU5C0izdUfpMAunqlJQa3dXL50CdOHaoXG+U1JACloyrDm7qFcSkH04fZMjIkc9AcjCG+OjwV/1dHSYtbIvgeXyfSiL0r9gf6Zww8CSIEfcc7qKZECO/KpSIFdF/N/NdOH8h+jIvcQKShy9IrT90ZJQZTAMzJqcJ+MHmwWSXh/ev+DBa0t5is9Un8gIwiru3rYP7k4KVNXT5GCurBxUZUEkIIqQZU4DSmw4xdcjRQ4gEgTJQkgBSRHGgTSkILwObTe4PdSd3CvjB5oHcKI1CPocaLUHHxNphatkyVOPya1CBzNRwApaL6Y5umJkAK7aCAFdvyQAgf8aKI8AaSADEmDQJpSEH2eQ4cPm19K/YFOL/qjrGQ0pQfGfLqzK1jedK0UKB9F/UEaKZDKPZCCVDB7exOkwC70SIEdP6TAAT+aQArIgewJZCUF0Sd/Z2IiKE6+d+CAeXVsqv5A1yv6nNQf6PSii2WDNN0PgaO4BJCC4sauCD1HCuyihBTY8UMKHPCjCaSAHMieQB6kIEpht+yarNOLNkn9wbuTE8FfzZOCZBWDy/oWms909xjWL8o+b2rtAVJQKzHOr4UAUlALrbnnIgV2/JACB/xoAikgB7InkDcpCIlMym8eHR6U6UUHzENDg2ZwukD5+La2oP7g61J/cHJHZ/YA6UFVBJCCqjBxUp0EkII6wU1fhhTY8UMKHPCjCaSAHMieQF6lIEpGheChQSlQlulFjw8PmanxA2NObu8M5OAy2UX52Na27GHSg5IEkAKSo5EEkAI7ukiBHT+kwAE/mkAKyIHsCRRBCqKU3pMpRfdL/YEWKO8eGw3+SqcT6bQinV70j719pq+FCUbZZ9bsHiAFeYtIc/UHKbCLJ1Jgxw8pcMCPJpACciB7AkWTgiix18dHzT0iB/8h9Qd7J3TBU2O6pSD5Iqk/0ALl86VQmfGD7HNMe4AU5CMOzdoLpMAuskiBHT+kwAE/mkAKyIHsCRRZCkJ6upzpH2WDtHsP7Te/Gjxk+mW5Uz2OkSlFl0j9gS5xqkudcmRHACnIjr0Pd0YK7KKMFNjxQwoc8KMJpIAcyJ5AM0hBlOKo7HjwG9kYTacX6UZpU+MHxnxCNkW7TOsP+uabRW264ClHmgSQgjRp+3cvpMAu5kiBHT+kwAE/mkAKyIHsCTSbFESJ7p+cDJY21T0Qnh0dDv5KdztY3dkTTC/SUYT5rex/kEYWIgVpUPb3HkiBXeyRAjt+SIEDfjSBFJAD2RNoZimI0t0zMWZ+3n9QipT7zV/k93p0iiKskcLky/oWmC9K/UG77IfA0RgCSEFjuNLqFAGkwC4TkAI7fkiBA340gRSQA9kT8EUKoqR3yKjBxv4D5oGhfnNwcqr+YIGMGPxTz3zzL/MXmMVtHeZ4phg5TU6kwClOGosRQArsUsIrKfjRT+4xO3a+YjZuWD+L2rqrbzS7X3lj1veuWneR+f53Lg++d+36282WbTuC3y9fumTO9Xv3DdlFgashUIaAvqy1yCeX/YNTn2pyQKARBHyUgijHLVJ3oDso/2ro0Cy8Kzq6zD9J/cGFPX1mKZukWaceUmCNkAbKEEAK7NLDCym4e9NW88Mf31nypV6lYNXKpTMSEEWq1/70Z5vNtvtvC76ddC5SYJeEXF2eAFJAhqRBwHcpCBkfkhWLdOWijbKD8pMjsz/wWSJFyhf2zDMX9fUF9QgctRNACmpnxhXVE0AKqmeVdKYXUhA+uH7iv/ftfYkjBaWkIC4BcUnQtpECuyTkaqSAHMieAFIwNwbvS4HyQzJy8IAUKG+THZSjh04zWtPdZ/5Z6hDOlw3TetgoraokRgqqwsRJdRJACuoEN30ZUjD96X90+lB06tD5l37PfPtbl5gr1q4JkD2+fZe5+vpbzAuP3DFDHimwS0KuRgrIgewJIAXlYzBweNL8bnjQ/EYKlPXXAyIM4dElhcrnihh8WTZL069jZV8EjmQCSAGZ0UgCSIEdXaQgxi986d9w83XmvNUrzLILrjI3XHPlHCl48K6bzOITjguuHp/44H8OduHgagjMJdA6vRLK5PRGTDCCgGsC4xOyAk/71Io75FlluoLLPDYwYH65/6D55cF+88bY6MxFSvGMnm5zycKF5isLF5jlXWyWFiXKz7PK+cUZ9RNob2ut/2KuNEhBQhJEpwxVM1Lw9/0jpBIEGkagt7stKDQeGAq3X2rYrWjYYwKaZ/rCdog8qzkLXh4bkRGEAfOQjCLoPghT6xhNHYulDkFHDy6Sr7N7ZLnTmltvrgt6uyTPZOoVedZccc3L03zoCCTcJhZIQQUpoKbAJr241gUBCo1dUKSNSgSYPlSJUHV/v29yIthJWacZPSZ1CCMRRQjrEC4UQVgjqxn1eViHwPSh6vKIs+ojwPSh+riFV3kvBXveesfc+m//bm698bsBk3ClonB6EKsP2SUYV9sTQArsGdJCZQJIQWVGtZ6hYwaPDA2aLSIIvx0eMPsidQg6YvAZqUPQ1YwuFknwZT8EpKDWLOL8WgggBbXQmnuuF1IQXZI0RBDWDOiftW4gekT/Tr/PPgV2ScbVdgSQAjt+XF0dAaSgOk71nqWVZ0+PDpktstzpbwYHzJ/HZ+87skz2QPiyCMKFffOM7o3QrAdS0KyRzcdzIQV2cfBCCuwQVb6a1YcqM+KM+gkgBfWz48rqCSAF1bNyceaeiTHza5GDLQOHzA6RBS1eDo8Pyy7KulmaTjM6r6vHtE8vNuDivlm3gRRkHYHmvj9SYBdfpMCOX3A1UuAAIk2UJIAUkBxpEEAK0qCcfI/9Mq3oYa1DkD0Rtsl0o0FZ/jQ85okQXCD7IWix8pdkJGG+FOkW+UAKihy9/PcdKbCLEVJgxw8pcMCPJsoTQArIkDQIIAVpUK58jzFZevgx2Un5N4P9gSi8M/HBGILWIZwpIwcqCBeLIHykvXhrGSEFlXOAM+ongBTUz06vRArs+CEFDvjRBFJADmRPACnIPgZJPXhuVJY7FUHQOoSXxz/YD0HP/VSHLHfaLRumSR3Cys5u2UIt/wdSkP8YFbmHSIFd9JACO35IgQN+NIEUkAPZE0AKso9BpR78VeoQtsjowcNSrKzLnUYPXe70M1295uxu/erJbbEyUlApyvy9DQGkwIYeIwV29KavpqbACUYaKUGA6UOkRhoEkII0KLu7R79MM9oqNQi/kULl38typ/rn6HGU7IFwngjC53r7zOdEFk7IyVQjpMBdDtDSXAJIgV1WMFJgx4+RAgf8aIKRAnIgewJIQfYxsOnBTtlJ+UmpRfijjCD8p3wNRIqVtd0lsrPyuTKCoEXL54osLGhttbld3dciBXWj48IqCCAFVUAqcwpSYMcPKXDAjyaQAnIgewJIQfYxcNUDLU1+XiRBpxhtk+lGT8vvtYA5PFQHVnR2mc/qSIJIwuqubtOR0rKnSIGrKNNOEgGkwC4vkAI7fkiBA340gRSQA9kTQAqyj0GjejAkowZPjgybR2W500dFErRgOTrZSEuUz+ruFkmYZz7X02tOkY3UGlW0jBQ0Ksq0qwSQArs8QArs+CEFDvjRBFJADmRPACnIPgZp9WDf5ISMIgyax0QQHpXRhL0T47NufbRMLTpX6hC0HuECGU3QzdRcHUiBK5K0w0iB+xxAChwwpdDYAUSaKEmAQmOSIw0CSEEalPN5j9dl5ECnGukowh9GBs3BydlFyx+TeoTPBVONeqV4uc9qAzWkIJ850Cy9YqTALpJIgR0/Rgoc8KMJRgrIgewJIAXZxyAPPaimHuFUrUeYHkk4U/ZHqKUeASnIQ5Sbtw9IgV1skQI7fkiBA340gRSQA9kTQAqyj0EeexDWI2jB8mNSkxCvR+jRegTZZfmzuvSpjCScXKEeASnIY5Sbp09IgV0skQI7fkiBA340gRSQA9kTQAqyj0ERehDWIzwqOyw/JkugJtUj6BQjLVg+P6EeASkoQpSL20ekwC52SIEdP6TAAT+aQArIgewJIAXZx6CIPYjWI/ynFC/HN1HT/RHCeoRzRRY+3NthWmX35YODY0V8XPqccwJIgV2AkAI7fkiBA340gRSQA9kTQAqyj0HRexDWI+iKRlq0HN8foU0e8DSZavT5eX3mrPYes0pqE2qpRyg6H/rfeAJIgR1jpMCOH1LggB9NIAXkQPYEkILsY9BsPdB6hD8G+yPI0qfT9QjRZ+ySeoTVsj+CjiDoBmpam8ABARsCSIENPWOQAjt+SIEDfjSBFJAD2RNACrKPQbP3QOsRtk+MmEcGDpnfDQzMqUdQSVgpqxmtElE4UwRhtXwtlD0TOCBQLQGkoFpSyechBXb8kAIH/GgCKSAHsieAFGQfAx96EC00fnVszDwh+yI8JbUIOqLwX7FN1JTHpzo6ZJpRjzmjuycQhU9IjQIHBEoRQArscgMpsOOHFDjgRxNIATmQPQGkIPsY+NCDcqsPvTU+bp4aHRJJkC9Z2ejlsVGjdQrRQ3dbXiVycKbsk3CmjCjongmdMsLAAQElgBTY5QFSYMcPKXDAjyaQAnIgewJIQfYx8KEHtSxJOiA1Cc+MjEyLwqD8ftgcOjx7t2UVAhWDM6Um4UxZAlWnHB3JlCMfUinxGZECu9AjBXb8kAIH/GgCKSAHsieAFGQfAx96UIsUxHlMyjdektGDcCRhh4wq/E1GF+LHx2WKke60fKbslXCmTD36pExB4vCDAFJgF2ekwI4fUuCAH00gBeRA9gSQguxj4EMPbKQgic87E1K8LHKwfWjI7JApRy+OjZi4JujIwRkiCatlJGGVjCicJl9MOWrObEMK7OKKFNjxQwoc8KMJpIAcyJ4AUpB9DHzogWspiDMbNofN08PDZsfosNkuBcxPiyjEN1TTvRFWdOiUI13hSKcd9ZijW3UXBY6iE0AK7CKIFNjxQwoc8KMJpIAcyJ4AUpB9DHzoQaOlIM5QKxBeGZ+acqSSsENqFPZMzN1N+WMy5UhHEVZrAbP8elIHYwlFzEekwC5qSIEdP6TAAT+aQArIgewJIAXZx8CHHqQtBUlM39P9ElQSZBRBVznaPTp3ypHujxBOOVJJ0ClHuo8CR74JIAV28UEK7PghBQ740QRSQA5kTwApyD4GPvQgD1IQ5zwiU46elZWNnpKvYMqRTD06MKllzR8c7fLb5bLKke6ZsLqnJ9h9+RimHOUuZZECu5AgBXb8kAIH/GgCKSAHsieAFGQfAx96kEcpiHPXKUevycZqurqRSoLKwpvjc6ccLW7TKUddQQGz1iUsbWfKUdY5jBTYRQApsOOHFDjgRxNIATmQPQGkIPsY+NCDIkhBUhz2yZSjcCnUp2Qk4XmZcjQW2zNhvhQwn6HFy7rKkax2dIZsrtbNlKNU0xopsMONFNjxQwoc8KMJpIAcyJ4AUpB9DHzoQVGlICk2T0o9wo5g2tFUfUJ8ypFe82mZcnSGTDk6S6Ycnc2Uo4anOFJghxgpsOOHFDjgRxNIATmQPQGkIPsY+NCDZpKCeLz+JFOOnpIpR08NyZQjGU14PWHK0UdlytFnRRBWiiB8WkYTTpFVjjjcEUAK7FgiBXb8kAIH/GgCKSAHsieAFGQfAx960MxSEI/ffilW1lGEJ6Uu4RlZCvVJEYb4oSsaqRycqkXMIgvLZf+EJbI8Kkd9BJCC+riFVyEFdvyQAgf8aAIpIAeyJ4AUZB8DH3rgkxQkxfOJ6elGT4soPCd1Ce9KrUL8WNA6JQqnyZf++mlZDvXDbbr+EUclAkhBJULl/x4psOOHFDjgRxNIATmQPQGkIPsY+NAD36UgHuO9E+PmORGFZ2W60XNBAfOwOTip6x/NPj4ky5+uDPZL0GlHXeZ0qVOYL/LAMZsAUmCXEUiBHT+kwAE/mkAKyIHsCSAF2cfAhx4gBeWjrDrwhuzA/NzoqHlWNlhTUdDN1YZlL4X4ofUJKgorZVnUcETB99WOkAK7nyJIgR0/pMABP5pACsiB7AkgBdnHwIceIAW1R1knGL0ypqIgIwrTovCy/Hk81lSb/PmTUrh8mowkRAuZ22WpVF8OpMAu0kiBHT+kwAE/mkAKyIHsCSAF2cfAhx4gBW6iPCojB7uleHnnWCgKI8FqR/HxBN1O7ZTOTrNSahNCUTipo6Npd09ACuzyCymw44cUOOBHE0gBOZA9AaQg+xj40AOkoHFRHjg8aXaKKAQjClqjILUKb0nNQvyYJyMHy4NCZhlRkJ2YtUbhRJmK1AwHUmAXRaTAjh9S4IAfTSAF5ED2BJCC7GPgQw+QgnSj/P9kWdRnRBB2yrSjndPFzPvke/HjqJbWYJWjqREF2Y1ZCpqPbG1Nt7MO7oYU2EH0Sgp+9JN7zI6dr5iNG9bPorbnrXfMxd/8wcz3Ntx8nTlv9YqZP1+7/nazZduO4M/Lly6Zc/3efXPXHrYLC1dD4AMC+rLWIp/s9A+OgQUCDSOAFDQMLQ1HCCAF2afD38ZlxSOZdrRT9lDYKaMJu6SQuf/w3ELmRbIMarDiUWRpVB1lyPOBFNhFxwspuHvTVvPDH99Z8qX+/Eu/Z779rUvMFWvXmMe37zJXX3+LeeGRO4Lz9dqf/myz2Xb/bcGf1119o1m1cqn5/ncunyGPFNglIVeXJ4AUkCFpEEAK0qDMPZCC/OWA6sCfZTdmHUnYKRus6RSkF0UURmIVCqoDH5eN1XS60Wk67aij26yQlY+0biEvB1JgFwkvpCBEpJ/4731736xP+uMSoOdGJSEuAXFJ0PORUMUXFAAADq9JREFUArsk5GqkgBzIngBSkH0MfOgBUlCMKGslwktjUp8gIwk6mqBfr8pSqfGt1nRLtaWy4pFOOwpEQX7VP+tKSFkcSIEdde+lIOklPyoCUUFQ1EkSgRTYJSFXIwXkQPYEkILsY+BDD5CC4kZZRw50c7XndNUjnXokowlvJqx4pHslLJfRhGBX5kAUOs2S9nTGE5ACu/zyXgq0zuCBh5+YmR6kOFUKFh1/tLn1xu+aZRdcZW645spgalFUCh686yaz+ITjgu/1D82t7rcLC1dD4AMCne2tUlNgzMjY3OIwOEHABYHDMp+4q6ONPHMBkzbKEuDnWXMlSL+sePT00JB5RgqZnx4cNE8PD5u9UrMQPxZK0bIKwunydUbP1Neidh1ncHvMlxo8jvoJeC8FLkYKKACtPwG5sjKBzg5dAaLFjI7FB24rX8sZEKiGwGHJr66OFvlvi8gneVYNM86pj8CUFJBn9dErxlXvTkyYp0QUnh4eNM8M6T4Kw+b9ybk/V45razOnqyBMy8Kqnm5zRKvdxKP5vc2xtGpWkfZeCqgpyCr1uG+1BCg0rpYU59kQYPqQDT2urZYA04eqJdVc5+2ZkELmoDZBph7JFKTdMvVI91WIH4tlv4SVwf4JU8ujniq/75HlUqs9mD5ULank87yXAsXC6kN2ScTVjSWAFDSWL61PEUAKyIQ0CCAFaVDO/z1UB/40Nio7MoskTO+h8KL8eSy2NKrqwCdlB+ZwR2b99RQpZO4osTQqUmAXey+kILokaYgruhcB+xTYJRFXN5YAUtBYvrSOFJAD6RFACtJjXcQ7TW2wNlXI/LyMKrwsKx4lHTqacGqw0VqPWdc3f+YUpMAu6l5IgR2iylez+lBlRpxRPwGkoH52XFk9AUYKqmfFmfUTQArqZ+fjlUMyxeh5kYRnRBCeFVHQjdZ0KlKp4/Bpp/qIydkzIwUOUCIFDiDSREkCSAHJkQYBpCANytwDKSAHbAkcmJw0zwYbrenyqMPmLVkWdZ8UMg/J1KP9n15u27zX1yMFDsKPFDiASBNIATmQKQGkIFP83twcKfAm1Jk8KNOH7LAjBXb8gquRAgcQaQIpIAcyJYAUZIrfm5sjBd6EOpMHRQrssCMFdvyQAgf8aKI8AaYPkSFpEEAK0qDMPZACcqCRBJACO7pIgR0/pMABP5pACsiB7AkgBdnHwIceIAU+RDm7Z0QK7NgjBXb8kAIH/GgCKSAHsieAFGQfAx96gBT4EOXsnhEpsGOPFNjxQwoc8KMJpIAcyJ4AUpB9DHzoAVLgQ5Sze0akwI49UmDHDylwwI8mkAJyIHsCSEH2MfChB0iBD1HO7hmRAjv2SIEdP6TAAT+aQArIgewJIAXZx8CHHiAFPkQ5u2dECuzYIwV2/LgaAhCAAAQgAAEIQAAChSeAFBQ+hDwABCAAAQhAAAIQgAAE7AggBXb8uBoCEIAABCAAAQhAAAKFJ4AUFD6EPAAEIAABCEAAAhCAAATsCCAFdfK7dv3tZsu2HcHVy5cuMRs3rK+zJS6DwAcEll1w1RwcG26+zpy3ekXw/fMv/Z557/0Dwe+vWneR+f53LgcfBKomoPkVzafwwnI/z/a89Y65+Js/mLlH0vVVd4ATvSCQlGePb99lrr7+ljnP/8Ijd8x8j59vXqQHD5ljAkhBHcG5e9NW89OfbTbb7r8tuHrd1TeaVSuX8oJWB0sumU2g1EubnqUvbnrceuN3g1/LnQtXCEQJRF+24i/1lX6e6bXf/tYl5oq1a0z4Yhd9kYM0BEIC5fKsUu7w8408gkD2BJCCOmIQl4D4/1TraJJLIFDxRT8uAfH/iYIQAuUIhJ/4x6Wg3M+zpBe5qCRAHAJxAqXyrJIU8PONXIJA9gSQgjpiEP+fYqUfdnXcgks8JRCfPhS+wIX/o33wrpvM4hOOC+j86Cf3mB07X2Hqmqe5Uutjl3pZK/fzLOkDD0ZGayXv1/mVpCBKIxxx4uebXznC0+aXAFJQR2z0xe2Ga64MhtP1CKUg+sJWR7NcAoFZBPSl/46NDxn9H2dSjunfP/DwEzPT2MAHgXpGCsr9PNu4+fdzckylYNHxR89MY4M6BKIESklBnJLmkR5aj8fPN3IIAvkggBTUEQdGCuqAxiV1EQiH1Bef8KGg2JORgrowcpEQYKSANEiDQLVSEB1hZ6QgjchwDwhUJoAUVGY05wxqCuqAxiV1EYjOs2XObV0IuWiaADUFpEIaBOqRAu0XP9/SiA73gEB5AkhBHRlSabWOOprkEggYzSs9wmlpWkj8zK7XZqYHsToHSWJDoNTLWqWfZ6w+ZEPdv2tL5Zn+/Lr2v39jpiZK8+r0FSfNTEPj55t/ucIT548AUlBnTNinoE5wXFaSQNI63vGlH1nHmwSqh0A0b/T6+N4q7FNQD1WuiRMol2dhjVR4TdL+Pvx8I6cgkC0BpCBb/twdAhCAAAQgAAEIQAACmRNACjIPAR2AAAQgAAEIQAACEIBAtgSQgmz5c3cIQAACEIAABCAAAQhkTgApyDwEdAACEIAABCAAAQhAAALZEkAKsuXP3SEAAQhAAAIQgAAEIJA5AaQg8xDQAQhAAAIQgAAEIAABCGRLACnIlj93hwAEIAABCEAAAhCAQOYEkILMQ0AHIAABCEAAAhCAAAQgkC0BpCBb/twdAhCAAAQgAAEIQAACmRNACjIPAR2AAAQgAAEIQAACEIBAtgSQgmz5c3cIQAACEIAABCAAAQhkTgApyDwEdAACEIAABCAAAQhAAALZEkAKsuXP3SEAAQhAAAIQgAAEIJA5AaQg8xDQAQhAAAIQgAAEIAABCGRLACnIlj93hwAEIAABCEAAAhCAQOYEkILMQ0AHIAABCEAAAhCAAAQgkC0BpCBb/twdAhCAAAQgAAEIQAACmRNACjIPAR2AAAQg0DwEfvSTe8wDDz9htt1/W/M8FE8CAQhAwAMCSIEHQeYRIQCB7Amcf+n3zHvvH5jTkRceuWPme9euv908s+u1Qr9QIwXZ5xo9gAAEIFAPAaSgHmpcAwEIQKBGAioF//ylc8z3v3P5zJXrrr7RvP3u+4WWgDgGpKDGxOB0CEAAAjkhgBTkJBB0AwIQaG4CSVIQf4Eu9edvf+sS88Mf3zkDKDq6kERNZWPR8UcHf7Vl247g1+VLl5iNG9YHv9/z1jvm4m/+wGy4+Tpz3uoVM00su+Aqc8M1V5or1q4Jvhf+OXrvq9ZdZNZd8vng+vCIXhM+gwrQHRsfKtlnPS/690ltRJ87+vfNnSk8HQQgAIFsCCAF2XDnrhCAgGcEkqQg/r0kKdAX5wvPX2VuvfG7ATF94dcjfMFPwqjn7H7ljTkv+PpCryMVtUiBth9KyN2btgZycsxRC2dGN8LvheeEL/vhvZL6HH/OeH/CNqLP7Vm68LgQgAAEUieAFKSOnBtCAAI+EihVU5D0CXlYpJs0FUdfwn/6s81lpxyFIwWhSChvrVfQQ79XixRE+5d0Xfi9B++6ySw+4TiT1OfHt+8yV19/iwnP0RGI8PdhLkT7xxQkH/+F8MwQgEDWBJCCrCPA/SEAAS8IJI0UhC/U4afqlaYTKaj4J/NJ8EpJwd639wUjDI2QgnAqUtILffR+2l8VhKQjnOKEFHjxT4KHhAAEckYAKchZQOgOBCDQnASSpECfVD8hD1/WfZKC+EhBNOpIQXP+G+CpIACBfBNACvIdH3oHAQg0CYE8SYEi1Sk81RYah4XH5aYPlRspCKcPhXUH8YLmeIiRgiZJeh4DAhAoFAGkoFDhorMQgEBRCSRJQfiyHM7bT2ukQBlqf05fcdJMAbOOWOhKRUmrD9lKQal7RUcLlMV9v9oW9AcpKGqW028IQKDIBJCCIkePvkMAAoUhUKrQOPppfZpSEH7qHwJUGdCVhVxJQXSjtqRVhOJLkmo/yo02FCbQdBQCEIBAQQkgBQUNHN2GAAQgAAEIQAACEICAKwJIgSuStAMBCEAAAhCAAAQgAIGCEkAKCho4ug0BCEAAAhCAAAQgAAFXBJACVyRpBwIQgAAEIAABCEAAAgUlgBQUNHB0GwIQgAAEIAABCEAAAq4IIAWuSNIOBCAAAQhAAAIQgAAECkoAKSho4Og2BCAAAQhAAAIQgAAEXBFAClyRpB0IQAACEIAABCAAAQgUlABSUNDA0W0IQAACEIAABCAAAQi4IoAUuCJJOxCAAAQgAAEIQAACECgoAaSgoIGj2xCAAAQgAAEIQAACEHBFAClwRZJ2IAABCEAAAhCAAAQgUFACSEFBA0e3IQABCEAAAhCAAAQg4IoAUuCKJO1AAAIQgAAEIAABCECgoASQgoIGjm5DAAIQgAAEIAABCEDAFQGkwBVJ2oEABCAAAQhAAAIQgEBBCSAFBQ0c3YYABCAAAQhAAAIQgIArAkiBK5K0AwEIQAACEIAABCAAgYISQAoKGji6DQEIQAACEIAABCAAAVcEkAJXJGkHAhCAAAQgAAEIQAACBSWAFBQ0cHQbAhCAAAQgAAEIQAACrgggBa5I0g4EIAABCEAAAhCAAAQKSgApKGjg6DYEIAABCEAAAhCAAARcEUAKXJGkHQhAAAIQgAAEIAABCBSUAFJQ0MDRbQhAAAIQgAAEIAABCLgigBS4Ikk7EIAABCAAAQhAAAIQKCgBpKCggaPbEIAABCAAAQhAAAIQcEUAKXBFknYgAAEIQAACEIAABCBQUAJIQUEDR7chAAEIQAACEIAABCDgigBS4Iok7UAAAhCAAAQgAAEIQKCgBJCCggaObkMAAhCAAAQgAAEIQMAVAaTAFUnagQAEIAABCEAAAhCAQEEJIAUFDRzdhgAEIAABCEAAAhCAgCsCSIErkrQDAQhAAAIQgAAEIACBghJACgoaOLoNAQhAAAIQgAAEIAABVwSQAlckaQcCEIAABCAAAQhAAAIFJYAUFDRwdBsCEIAABCAAAQhAAAKuCCAFrkjSDgQgAAEIQAACEIAABApKACkoaODoNgQgAAEIQAACEIAABFwR+P+AoHsSH/cTcwAAAABJRU5ErkJggg==",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
262.78451523329915,
262.53619770779017,
262.0883447638699,
261.51450808593273,
260.8822900504647,
260.2348454591429,
259.59044790709265,
258.9525380058077,
258.3196922746206,
257.6905391865132,
257.064590745644,
256.44170646098723,
255.82171034464608,
255.20433938715232,
254.58929116155687,
253.97624869794967,
253.3648820554891,
252.75484607456028,
252.14578029821368,
251.53731013764218,
250.92904821234063,
250.32059560021415,
249.71154305455698,
249.1014722455512,
248.48995703534933,
247.87656477795352,
247.26085763605477,
246.64239391000527,
246.0207293749988,
245.39541862239588,
244.76601640095677,
244.13207895372506,
243.49316534635446,
242.84883878273718,
242.19866790386206,
241.5422280659128,
240.87910259371193,
240.20888400572545,
239.53117520696588,
238.8455906462642,
238.15175743452866,
237.44931642076358,
236.73792322278916,
236.01724920977867,
235.2869824339149,
234.54682850866067,
233.7965114313384,
233.03577434791904,
232.26438025813474,
231.48211265924348,
230.688776126996,
229.8841968325775,
229.06822299452205,
228.2407252648234,
227.40159704869203,
226.55075475763513,
225.6881379957589,
224.8137096794153,
223.927456090534,
223.02938686419515,
222.11953491120786,
221.19795627666517,
220.26472993564357,
219.3199575274073,
218.36376302966173,
217.39629237457564,
216.4177130084605,
215.42821339715212,
214.42800247928906,
213.41730906982116,
212.39638121620865,
211.3654855098907,
210.324906355708,
209.27494520205894,
208.21591973465354,
207.14816303679984,
206.0720227192194,
204.9878600224363,
203.8960488948215,
202.7969750494,
201.69103500254232,
200.57863509766386,
199.46019051704877,
198.33612428489388,
197.20686626464007,
196.07285215361716,
194.9345224779791,
193.7923215908468,
192.64669667650648,
191.49809676343563,
190.34697174884204,
189.19377143730932,
188.03894459604183,
186.8829380290951,
185.72619567286594,
184.56915771499752,
183.4122597387322,
182.25593189461765,
181.100598101341,
179.9466752773315,
178.7945726046359,
177.64469082643282,
176.49742157941196,
175.3531467621042,
174.21223794010774,
173.0750557890157,
171.94194957571025,
170.81325667855182,
169.68930214685486,
168.57039829990828,
167.45684436566847,
166.3489261591244,
165.24691580021104,
164.1510714710274,
163.06163721199974,
161.97884275652055,
160.90290340348687,
159.83401992706237,
158.7723785228916,
157.71815078990588,
156.671493746777,
155.63254988199685,
154.60144723649003,
153.57829951760144,
152.56320624324152,
151.55625291491907,
150.5575112183455,
149.5670392502538,
148.58488177004148,
147.61107047481863,
146.64562429642112,
145.68854971893117,
144.73984111523924,
143.7994811011746,
142.86744090573345,
141.94368075593923,
141.02815027488003,
140.12078889148387,
139.2215262606125,
138.33028269207875,
137.44696958722037,
136.571489881696,
135.70373849320347,
134.84360277286007,
133.99096295902558,
133.14569263239358,
132.30765917122176,
131.47672420562287,
130.65274406988598,
129.83557025185115,
129.0250498384133,
128.22102595628525,
127.42333820720445,
126.63182309682418,
125.84631445658384,
125.06664385791039,
124.29264101815667,
123.52413419773777,
122.76095058798079,
122.00291668925611,
121.24985867901056,
120.50160276937397,
119.75797555405964,
119.01880434432746,
118.28391749382453,
117.55314471216245,
116.8263173671329,
116.10326877550361,
115.38383448237482,
114.66785252911265,
113.95516370990921,
113.2456118170518,
112.53904387501287,
111.83531036349765,
111.13426542959922,
110.43576708922143,
109.7396774179945,
109.04586273210812,
108.35419375963272,
107.66454580198956,
106.97679888219264,
106.29083787549104,
105.60655263582912,
104.92383818004868,
104.24259499093337,
103.56272917842828,
102.88415143361644,
102.2067738540044,
101.53051063290407,
100.85530209899187,
100.18116153640068,
99.50812293005883,
98.8358572909447,
98.16313601620915,
97.48866191513648,
96.81598476750204,
96.16346979361681,
95.57434552350226,
95.1162698804706,
94.86283169973349
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2327"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.53384928120207,
272.1134976518306
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.0553012707345,
262.8053268782665,
262.3541653280807,
261.7753785428343,
261.1365842138655,
260.4809574834203,
259.82679724537417,
259.17757428420634,
258.53190006642643,
257.88844267061376,
257.24675823387867,
256.6067547796253,
255.96830905572045,
255.33121483597245,
254.69523033736854,
254.06010289539768,
253.4255703252734,
252.79135845245102,
252.15718080240305,
251.52273952525996,
250.88772648683786,
250.25182426222705,
249.6147070897932,
248.97604184419228,
248.33548903842944,
247.69270384715537,
247.04733714435153,
246.39903655157067,
245.7474474938012,
245.092214259883,
244.43298106422142,
243.7693931065141,
243.1010976262419,
242.42774494872137,
241.74898951956405,
241.06449092444538,
240.37391489115134,
239.6769342709489,
238.97322999641324,
238.26249201294053,
237.54442018128054,
236.81872514853575,
236.08512918519583,
235.3433669859041,
234.59318643178827,
233.83434931232887,
233.06663200488697,
232.2898261101642,
231.50373904202542,
230.70819457027528,
229.90303331514346,
229.08811319240016,
228.26330980819228,
227.42851680285986,
226.58364614316392,
225.7286283625263,
224.86341274905337,
223.98796748128342,
223.10227971176505,
222.2063555987383,
221.30022028635267,
220.38391783401312,
219.4575110956007,
218.52108154946316,
217.57472908021563,
216.61857171353046,
215.6527453052289,
214.67740318611283,
213.69271576409636,
212.69887008530839,
211.69606935594408,
210.6845324267405,
209.66449324204152,
208.63620025549963,
207.59991581453528,
206.55591551574005,
205.5044875334666,
204.44593192389624,
203.3805599069152,
202.30869312816077,
201.2306629036216,
200.14680944919056,
199.05748109757283,
197.96303350495137,
196.86382884979872,
195.76023502620802,
194.6526248340871,
193.54137516852873,
192.42686621062663,
191.30948062196083,
190.1896027449215,
189.06761781097916,
187.94391115894405,
186.81886746518504,
185.6928699877019,
184.5662998258631,
183.43953519753606,
182.31295073524635,
181.18691680291002,
180.06179883458663,
178.937956696602,
177.8157440742889,
176.69550788449098,
175.57758771487175,
174.46231529096463,
173.3500139717958,
172.24099827480526,
171.13557343068658,
170.03403496866082,
168.93666833259778,
167.84374852829384,
166.7555398021168,
165.67229535112855,
164.5942570647015,
163.52165529755032,
162.4547086740107,
161.3936239233092,
160.33859574548495,
159.2898067075424,
158.24742716933966,
157.21161523864245,
156.18251675470702,
155.1602652996896,
154.14498223712152,
153.13677677663296,
152.1357460640571,
151.14197529600094,
150.15553785792648,
149.17649548474895,
148.2048984429264,
147.24078573298615,
146.28418531141034,
145.33511433078397,
144.39357939709262,
143.45957684304778,
142.53309301631012,
141.61410458147904,
140.70257883471788,
139.79847402988935,
138.9017397150841,
138.01231707843772,
137.13013930214646,
136.2551319236103,
135.38721320265302,
134.52629449379302,
133.6722806225649,
132.82507026491982,
131.98455632876428,
131.15062633672878,
130.3231628092919,
129.50204364742166,
128.68714251393249,
127.87832921279391,
127.07547006566654,
126.27842828497995,
125.48706434290715,
124.70123633563091,
123.92080034233739,
123.14561077841302,
122.37552074236082,
121.61038235599192,
120.85004709748783,
120.09436612696699,
119.34319060422749,
118.59637199837458,
117.85376238907718,
117.11521475923271,
116.38058327885291,
115.64972358001484,
114.92249302275269,
114.19875095179457,
113.4783589440769,
112.7611810469959,
112.04708400737734,
111.33593749115839,
110.62761429378398,
109.92199054138436,
109.21894588300157,
108.51836367427846,
107.82013115211619,
107.12413959677033,
106.43028447686412,
105.73846559058967,
105.04858726487795,
104.36055867349964,
103.67429401329537,
102.9897114729884,
102.3067300730089,
101.6252703689994,
100.94527850497155,
100.26677304636543,
99.5897927376278,
98.914012838888,
98.23820849660032,
97.56108577904897,
96.88619724320563,
96.23191041217125,
95.64145565059395,
95.18249225329531,
94.92860996769377
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2352"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.58823822863596,
272.39567300979235
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.2150792214954,
262.9637888934426,
262.5099994827173,
261.92728092029915,
261.2832628777118,
260.6211364106231,
259.9592202082813,
259.30100866873164,
258.6451406142415,
257.99031513336985,
257.33612292780714,
256.68251002922244,
256.0293945156226,
255.37661468056436,
254.72397630814098,
254.0712771965805,
253.41830835881177,
252.76485138396478,
252.11067795037107,
251.45555056629718,
250.7992234705852,
250.14144343004435,
249.48195049213686,
248.82047875226382,
248.156757146401,
247.490510262006,
246.82145916108456,
246.1493222123228,
245.47381593009564,
244.79465581802012,
244.11155721453622,
243.4242361379601,
242.73241012848035,
242.03579908460284,
241.33412609158128,
240.62711823941208,
239.91450742801564,
239.19603115728378,
238.47143329973315,
237.74046485357522,
237.00288467408876,
236.2584601812639,
235.5069680417745,
234.74819482343136,
233.98193762036746,
233.20800464731158,
232.42621580141608,
231.63640319021778,
230.83841162442823,
230.0320990743696,
229.21733708899635,
228.39401117656712,
227.56202114615965,
226.72128140934942,
225.87172124150268,
225.01328500226447,
224.1459323149517,
223.26963820469183,
222.38439319527512,
221.49020336481644,
220.58709036044712,
219.67509137238144,
218.75425906782186,
217.8246614852848,
216.88638189004325,
215.93951859149178,
214.9841847233467,
214.0205079876946,
213.04863036400107,
212.0687077842812,
211.0809097757227,
210.08541907213137,
209.08243119564585,
208.07215401023757,
207.0548072485755,
206.030622013893,
204.99984025854553,
203.96271424099223,
202.91950596297391,
201.87048658869153,
200.8159358478151,
199.7561414241723,
198.6913983319797,
197.62200828148482,
196.5482790358897,
195.47052376141943,
194.38906037238863,
193.30421087310143,
192.2163006983974,
191.1256580546279,
190.03261326281358,
188.93749810569545,
187.84064518034873,
186.74238725798074,
185.64305665248224,
184.54298459924584,
183.4425006457052,
182.3419320549855,
181.24160322399084,
180.141835117183,
179.04294471723725,
177.94524449368484,
176.84904189057872,
175.75463883413963,
174.66233126126352,
173.5724086696909,
172.48515369055906,
171.40084168397823,
170.31974035819198,
169.24210941280276,
168.16820020646355,
167.09825544935777,
166.03250892071222,
164.9711852115112,
163.91449949250512,
162.86265730753314,
161.81585439210937,
160.7742765171514,
159.73809935766482,
158.70748838613127,
157.6825987902878,
156.6635754149246,
155.65055272727346,
154.64365480550603,
153.64299534981038,
152.64867771546892,
151.6607949673164,
150.67942995491663,
149.7046554077607,
148.73653404975502,
147.77511873223793,
146.82045258473738,
145.8725691826581,
144.93149273106766,
143.99723826373307,
143.0698118565472,
142.14921085447324,
141.2354241111288,
140.32843224012615,
139.4282078772854,
138.53471595283673,
137.64791397273467,
136.76775230821121,
135.89417449270692,
135.02711752532795,
134.1665121799929,
133.3122833194477,
132.46435021334526,
131.62262685960636,
130.78702230829813,
129.95744098729102,
129.13378302897718,
128.31594459736004,
127.5038182148495,
126.69729308812536,
125.89625543245909,
125.1005887939122,
124.31017436885867,
123.52489132030804,
122.74461709053509,
121.96922770955157,
121.19859809898499,
120.43260237095838,
119.67111412159434,
118.91400671879478,
118.16115358397627,
117.4124284674679,
116.66770571730572,
115.92686054118356,
115.18976926134515,
114.45630956222676,
113.72636073068342,
112.99980388865485,
112.27652221814621,
111.55640117840782,
110.83932871520594,
110.12519546213848,
109.4138949341498,
108.70532371354497,
107.99938162789556,
107.29597191619409,
106.59500137862445,
105.89638052310848,
105.20002377030217,
104.50584977789792,
103.81378162332905,
103.12374577923087,
102.43566895999221,
101.74947883197602,
101.06512807329263,
100.38264121329536,
99.7020623963384,
99.02307172430423,
98.34444863270423,
97.6649029311888,
96.98799037490369,
96.33208114587654,
95.74040773178537,
95.28063101730638,
95.0263418086029
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2377"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.6825230634422,
272.5588979666561
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.28655476802805,
263.0342160809677,
262.5783331114404,
261.9924820989466,
261.34430215306406,
260.6769968674716,
260.00890053011204,
259.3435261495761,
258.67953411230525,
258.01564795725415,
257.35148564637296,
256.68702319641466,
256.02221130186615,
255.35692340267124,
254.69100285001886,
254.02428731341269,
253.356609857782,
252.6877961750267,
252.01766396101075,
251.34602351470485,
250.6726784921378,
249.99742655250338,
249.32005995548104,
248.64036616960522,
247.9581285029713,
247.2731267497465,
246.58513784692602,
245.89393653879804,
245.19929604748674,
244.50098874779982,
243.79878684442036,
243.09246304943923,
242.3817912582447,
241.66654722181167,
240.94650921345612,
240.2214586881466,
239.49118093249785,
238.75546570361027,
238.01410785496395,
237.26690794762686,
236.51367284509107,
235.75421629011302,
234.9883594619985,
234.21593151284208,
233.43677008130715,
232.65072178260792,
231.85764267343896,
231.05739869068174,
230.2498660628056,
229.43493169297227,
228.61249351294526,
227.78246080700134,
226.9447545051376,
226.0993074449663,
225.2460646017881,
224.38498328643485,
223.51603331057234,
222.63919711925416,
221.75446989061635,
220.86185960270214,
219.96138706750367,
219.05308593240315,
218.1370026492918,
217.21319641173585,
216.28173906065112,
215.3427149590335,
214.3962208363787,
213.4423656035064,
212.4812701385815,
211.51306704520096,
210.53790038348578,
209.55592537518413,
208.56730808385535,
207.57222507126352,
206.57086303116304,
205.56341840170916,
204.55009695777136,
203.53111338446791,
202.50669083327637,
201.47706046210504,
200.44246096073704,
199.40313806307987,
198.35934404766957,
197.31133722789113,
196.25938143338237,
195.20374548409237,
194.14470265846148,
193.08253015718503,
192.01750856400915,
190.94992130499404,
189.8800541076582,
188.80819446139478,
187.73463108052258,
186.65965337130368,
185.5835509042245,
184.50661289279913,
183.42912768011206,
182.3513822342744,
181.27366165391962,
180.19624868481597,
179.11942324862187,
178.0434619847556,
176.96863780629624,
175.89521947077554,
174.82347116666156,
173.75365211627616,
172.68601619582765,
171.62081157317849,
170.55828036390727,
169.49865830616147,
168.4421744547366,
167.3890508947549,
166.3395024752563,
165.29373656295328,
164.25195281634143,
163.21434298029874,
162.18109070124908,
161.15237136290824,
160.1283519425764,
159.10919088788725,
158.09503801387254,
157.08603442014987,
156.08231242799542,
155.08399553701574,
154.0911984010901,
153.1040268232129,
152.12257776882674,
151.14693939719984,
150.17719111036754,
149.2134036191248,
148.25563902552844,
147.30395092134017,
146.3583845018172,
145.41897669423537,
144.4857563005112,
143.55874415327088,
142.6379532847011,
141.72338910750457,
140.8150496072725,
139.91292554558035,
139.01700067310725,
138.12725195207724,
137.24364978731938,
136.36615826524564,
135.4947354000484,
134.62933338642515,
133.76989885814422,
132.91637315177502,
132.06869257491593,
131.22678867826485,
130.39058853089102,
129.5600149980804,
128.73498702114364,
127.91541989859101,
127.10122556809776,
126.29231288870042,
125.4885879226852,
124.68995421664826,
123.89631308122911,
123.10756386903833,
122.32360425032256,
121.54433048593086,
120.76963769716811,
119.99942013214263,
119.23357142823673,
118.47198487035045,
117.71455364458954,
116.96117108709007,
116.21173092769219,
115.46612752819588,
114.72425611495078,
113.98601300555241,
113.25129582943609,
112.52000374217545,
111.79203763329905,
111.06730032744366,
110.34569677872311,
109.62713425838994,
108.91152253601254,
108.19877405348116,
107.4888040881217,
106.78153090020557,
106.07687587793842,
105.37476374152381,
104.67512286708305,
103.9778854694535,
103.28298657814784,
102.59036088473883,
101.8999434541816,
101.21169378589357,
100.52564265470139,
99.84183987613775,
99.15997065054331,
98.47881894072782,
97.7970985139825,
97.1183685148406,
96.46100194773432,
95.86823355686934,
95.40772591848874,
95.15307096606715
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2402"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.81232186595821,
272.627303868137
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.2876072567034,
263.0344316528536,
262.5768773546029,
261.9885256035188,
261.33702299319356,
260.6655830604388,
259.9925524651297,
259.32145897888324,
258.65098009729826,
257.97985876254893,
257.3077345748691,
256.63460735863123,
255.9604537130435,
255.28517500137397,
254.60864443224162,
253.93073137647488,
253.2513023485998,
252.57021813767213,
251.88733307880383,
251.20249554243802,
250.51554857439663,
249.82633042442626,
249.13467502269006,
248.44041246443865,
247.74336951455598,
247.04337012586078,
246.34023596602339,
245.63378695098345,
244.9238417836616,
244.21021849661676,
243.4927349971118,
242.77120961300534,
242.04546163790326,
241.31531187402365,
240.58058317124517,
239.84110096082725,
239.09669378231288,
238.34719380215347,
237.59243732262752,
236.83226527966133,
236.06652372820142,
235.29506431383282,
234.51774472938584,
233.7344291553262,
232.94498868277952,
232.14930171809812,
231.34725436794207,
230.53874080390878,
229.72366360581293,
228.90193408278807,
228.0734725714512,
227.23820871044524,
226.39608169074802,
225.54704048121215,
224.691044028876,
223.82806143366372,
222.95807209716915,
222.08106584529656,
221.19704302460812,
220.3060145723059,
219.40800205985235,
218.5030377103088,
217.59116438954695,
216.67243557156064,
215.74691527817805,
214.81467799354357,
213.8758085538075,
212.93040201252686,
211.97856348234495,
211.0204079535779,
210.0560600903945,
209.08565400533197,
208.10933301294153,
207.1272493634087,
206.13956395703755,
205.14644604053228,
204.14807288604817,
203.14462945402008,
202.13630804080879,
201.1233079122342,
200.10583492408935,
199.08410113075053,
198.05832438301658,
197.02872791632393,
195.99553993049477,
194.95899316218194,
193.91932445117743,
192.87677430175057,
191.83158644017846,
190.78400736962328,
189.73428592350078,
188.68267281847005,
187.62942020815805,
186.57478123871158,
185.51900960724754,
184.4623591242456,
183.4050832808997,
182.347434822414,
181.28966532819607,
180.23202479986418,
179.1747612579494,
178.1181203481331,
177.0623449578208,
176.00767484381038,
174.95434627176908,
173.90259166819004,
172.85263928545174,
171.80471288055912,
170.75903140809632,
169.71580872787425,
168.6752533277083,
167.63756806171284,
166.60294990445104,
165.57158972123145,
164.54367205479397,
163.5193749285811,
162.49886966674399,
161.48232073098654,
160.4698855743056,
159.46171451164167,
158.45795060741136,
157.45872957985046,
156.46417972205697,
155.47442183958353,
154.48956920439122,
153.5097275249406,
152.5349949321616,
151.56546198101063,
150.6012116672924,
149.6423194593949,
148.68885334455783,
147.74087388927003,
146.79843431336712,
145.86158057737856,
144.9303514826541,
144.00477878378084,
143.0848873127862,
142.17069511460792,
141.26221359329958,
140.35944766842974,
139.4623959411238,
138.57105086919103,
137.68539895077336,
136.8054209159495,
135.93109192572572,
135.06238177784402,
134.1992551188401,
133.34167166178526,
132.48958640915103,
131.64294988024068,
130.801708342637,
129.96580404712515,
129.13517546555667,
128.30975753113162,
127.48948188058556,
126.67427709778025,
125.8640689582093,
125.05878067394261,
124.25833313854751,
123.46264517153855,
122.67163376192259,
121.88521431042092,
121.10330086996552,
120.32580638408223,
119.5526429227894,
118.7837219156565,
118.01895438168316,
117.25825115567514,
116.50152311080947,
115.74868137709663,
114.99963755546361,
114.25430392719713,
113.5125936585028,
112.77442099994798,
112.03970148056042,
111.30835209635684,
110.58029149313438,
109.85544014355432,
109.13372051869125,
108.41505725331099,
107.69937730110502,
106.98661007511801,
106.27668758639996,
105.5695446424276,
104.86511916602528,
104.16335237375786,
103.46418774802896,
102.76756788110175,
102.07343518350835,
101.38175594262384,
100.69256716147238,
100.00592432220908,
99.32151772869507,
98.63813588288653,
97.95449652579767,
97.27416220940648,
96.61550877862678,
96.0217732506453,
95.5606199067781,
95.305641817372
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2427"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
85.97331040407582,
272.61993866999956
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.2324082996637,
262.97856391465234,
262.519674052029,
261.92932394331666,
261.27516615219656,
260.6004221479439,
259.92344846168544,
259.2477846457405,
258.57212185086973,
257.8952185083388,
257.21673149546757,
256.53667965051943,
255.85506026712252,
255.17179702231593,
254.48678699196154,
253.7999248972367,
253.11110401149998,
252.42021321248694,
251.7271361714427,
251.0317517565111,
250.3339345836839,
249.63355545332237,
248.93048173199483,
248.22457774016746,
247.51570515775347,
246.80372344171744,
246.08849025091365,
245.36986187636685,
244.64769367611297,
243.9218405135773,
243.1921571982775,
242.45849892759298,
241.72072172835584,
240.97868289703354,
240.2322414372868,
239.4812584936975,
238.72559778047741,
237.96512600398967,
237.19971327793732,
236.42923353010164,
235.6535648995424,
234.87259012320564,
234.0861969109213,
233.2942783078117,
232.49673304317437,
231.69346586494615,
230.88438785890332,
230.0694167518009,
229.24847719770514,
228.4215010468267,
227.58842759621564,
226.74920382173624,
225.90378459079608,
225.0521328553629,
224.19421982486125,
223.33002511860138,
222.45953689745326,
221.5827519745386,
220.6996759047753,
219.81032305316904,
218.9147166418075,
218.01288877557153,
217.10488044663853,
216.19074151790994,
215.2705306855533,
214.34431542090493,
213.41217189203434,
212.4741848653244,
211.53044758747336,
210.5810616483745,
209.62613682537645,
208.6657909094742,
207.70014951402308,
206.72934586661032,
205.7535205847573,
204.77282143616185,
203.78740308422405,
202.7974268196304,
201.8030602787992,
200.80447715001625,
199.80185686811296,
198.79538429855884,
197.7852494118578,
196.77164694915265,
195.7547760799533,
194.73484005291326,
193.71204584058498,
192.68660377908827,
191.6587272036258,
190.62863208077803,
189.5965366385051,
188.56266099477554,
187.52722678573176,
186.4904567942902,
185.45257458005892,
184.41380411143908,
183.3743694007563,
182.3344941432486,
181.29440136071273,
180.25431305058638,
179.21444984121763,
178.17503065404333,
177.1362723733692,
176.09838952441308,
175.06159396024023,
174.02609455818558,
172.9920969263239,
171.95980312051347,
170.9294113725014,
169.9011158295441,
168.87510630595713,
167.85156804697223,
166.83068150524116,
165.81262213028802,
164.79756017117379,
163.78566049259913,
162.77708240463383,
161.771979506224,
160.77049954259164,
159.77278427660437,
158.77896937415858,
157.78918430358317,
156.80355224903806,
155.82219003784837,
154.8452080816821,
153.87271033144984,
152.90479424577327,
151.94155077284174,
150.98306434544804,
150.02941288896838,
149.0806678420266,
148.13689418955906,
147.19815050797442,
146.26448902208182,
145.33595567344128,
144.4125901997725,
143.49442622504162,
142.58149135983032,
141.67380731157843,
140.77139000427806,
139.87424970718817,
138.98239117212717,
138.09581377889478,
137.21451168836708,
136.3384740028031,
135.46768493289827,
134.60212397111616,
133.74176607082958,
132.88658183080076,
132.0365376845319,
131.19159609401896,
130.35171574744433,
129.51685176034832,
128.68695587982378,
127.86197669128443,
127.04185982736327,
126.22654817850548,
125.41598210482779,
124.61009964882474,
123.80883674851228,
123.01212745060785,
122.21990412335721,
121.43209766862856,
120.64863773290534,
119.86945291682103,
119.0944709828901,
118.32361906110188,
117.55682385205532,
116.79401182732532,
116.03510942676294,
115.28004325244426,
114.52874025899555,
113.78112794003513,
113.03713451048222,
112.29668908448475,
111.5597218487178,
110.8261642308613,
110.09594906326022,
109.36901074191316,
108.64528538002338,
107.92471095231048,
107.20722742528892,
106.49277688651357,
105.78130373430562,
105.07275498865805,
104.36708046226165,
103.66423172585442,
102.96415894608131,
102.26681158830117,
101.57216247008846,
100.88025459547048,
100.19114891431758,
99.50454066128026,
98.81922272897086,
98.13391670612982,
97.45218844712628,
96.79241655189988,
96.19784024362879,
95.7361254592653,
95.48086637345527
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2452"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.1613362664437,
272.5519384066753
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
263.1322584054411,
262.87787970550556,
262.4179228153491,
261.8259761664668,
261.1696971108681,
260.4923134805984,
259.8121897255131,
259.1328748496268,
258.45307096093325,
257.7715489216931,
257.08797947795983,
256.40239673431495,
255.7148146041312,
255.02517468959815,
254.33339324540373,
253.63938536995067,
252.94306585357566,
252.24434616891412,
251.54313359521214,
250.83933155411012,
250.1328400904143,
249.4235562360879,
248.71137431743344,
247.99618626623587,
247.27788194710934,
246.55634949548772,
245.83147566168273,
245.10314615946726,
244.3712460185515,
243.6356599401805,
242.89627265489239,
242.15296928142945,
241.40563568580518,
240.6541588395459,
239.8984271761323,
239.13833094467566,
238.37376255987414,
237.60461694730932,
236.83079188316083,
236.0521883274364,
235.2687107498379,
234.48026744740812,
233.68677085313143,
232.88813783468993,
232.08428998260948,
231.27515388706354,
230.460661402638,
229.64074990039853,
228.81536250664047,
227.98444832774283,
227.14796266058897,
226.30586718806106,
225.45813015915894,
224.6047265533403,
223.7456382287242,
222.88085405384822,
222.0103700227152,
221.1341893529151,
220.25232256665373,
219.36478755456926,
218.4716096222645,
217.57282151953095,
216.66846345228774,
215.75858307730516,
214.84323547982848,
213.92248313426302,
212.9963958481257,
212.06505068951128,
211.1285318983638,
210.18693078188417,
209.24034559444428,
208.28888140241594,
207.3326499343586,
206.37176941704533,
205.40636439783756,
204.43656555395225,
203.46250948919172,
202.48433851873486,
201.502200442613,
200.51624830851623,
199.52664016459673,
198.53353880295475,
197.53711149450834,
196.53752971596285,
195.53496886960798,
194.5296079966793,
193.52162948502973,
192.51121877186122,
191.4985640422696,
190.4838559243578,
189.46728718167046,
188.44905240370028,
187.42934769521128,
186.40837036511667,
185.3863186156405,
184.36339123248092,
183.33978727667974,
182.31570577888982,
181.29134543671424,
180.2669043157745,
179.24257955514534,
178.21856707777377,
177.19506130647716,
176.17225488609319,
175.15033841232923,
174.1295001678346,
173.10992586599158,
172.0917984028955,
171.0752976179656,
170.06060006359962,
169.04787878425765,
168.03730310532924,
167.0290384321101,
166.02324605918298,
165.0200829904686,
164.01970177018106,
163.02225032489247,
162.02787181688197,
161.0367045089128,
160.04888164055336,
159.06453131612727,
158.08377640434946,
157.1067344496768,
156.13351759537352,
155.1642325182651,
154.19898037512738,
153.237856760632,
152.2809516767447,
151.3283495134481,
150.3801290406384,
149.43636341102254,
148.49712017382132,
147.56246129906356,
146.63244321223763,
145.70711683904773,
144.78652766000621,
143.87071577457627,
142.9597159745652,
142.05355782645415,
141.15226576233817,
140.25585917913807,
139.36435254573607,
138.47775551767714,
137.59607305907014,
136.71930557131552,
135.84744902828032,
134.98049511753624,
134.11843138727198,
133.26124139848915,
132.40890488208734,
131.5613979004444,
130.71869301309633,
129.88075944612274,
129.04756326484505,
128.2190675494462,
127.39523257312432,
126.57601598239647,
125.76137297917221,
124.95125650422258,
124.14561742167506,
123.34440470417142,
122.54756561833209,
121.75504591017753,
120.96678999016478,
120.18274111750529,
119.40284158343813,
118.62703289314175,
117.8552559459756,
117.08745121375259,
116.32355891675223,
115.56351919719388,
114.80727228989952,
114.0547586898864,
113.30591931663713,
112.56069567479402,
111.81903001102273,
111.08086546684548,
110.34614622743634,
109.61481766651309,
108.88682648654695,
108.16212085047385,
107.44065050009903,
106.72236687417896,
106.00722328767829,
105.29517523288364,
104.58618054129909,
103.88019834050887,
103.17718588417752,
102.47709924760771,
101.77991737458754,
101.08568890555169,
100.39447993145984,
99.7059903277713,
99.01901712320088,
98.3322855339834,
97.6493645299855,
96.98863531176214,
96.39333918583324,
95.93114365331553,
95.67564393241925
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2477"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.37249868391804,
272.43540365394233
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"hovertemplate": "Bin number=%{x}
[A]=%{y}",
"legendgroup": "",
"line": {
"color": "darkturquoise",
"dash": "solid"
},
"marker": {
"symbol": "circle"
},
"mode": "lines",
"name": "",
"orientation": "v",
"showlegend": false,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
156,
157,
158,
159,
160,
161,
162,
163,
164,
165,
166,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
177,
178,
179,
180,
181,
182,
183,
184,
185,
186,
187,
188,
189,
190,
191,
192,
193,
194,
195,
196,
197,
198,
199
],
"xaxis": "x",
"y": [
262.99621803202314,
262.7414131150568,
262.28060508217874,
261.6873849438898,
261.0294139115343,
260.3499249458445,
259.6672888801333,
258.9850623384998,
258.3019562640044,
257.6167515438733,
256.92913011058414,
256.2391383848904,
255.54680369120237,
254.85208209966714,
254.1549053489585,
253.45520499378216,
252.7529132066991,
252.04795971955275,
251.34027089645193,
250.629770015992,
249.91637769639382,
249.20001220196278,
248.4805896910142,
247.75802446621506,
247.0322292397691,
246.3031154080728,
245.57059333145742,
244.83457261766623,
244.09496240863075,
243.35167166996845,
242.60460948243815,
241.85368533453976,
241.09880941545705,
240.33989290755395,
239.57684827764098,
238.80958956623437,
238.03803267403754,
237.26209564488593,
236.4816989444084,
235.69676573367366,
234.90722213710723,
234.11299750398294,
233.31402466281392,
232.51024016799087,
231.7015845380388,
230.88800248489088,
230.06944313360415,
229.24586023197133,
228.4172123495137,
227.58346306537103,
226.74458114463778,
225.90054070272785,
225.05132135738637,
224.1969083680005,
223.33729276189956,
222.47247144737054,
221.60244731315214,
220.7272293142095,
219.84683254362815,
218.9612782905054,
218.07059408375375,
217.17481372177073,
216.2739772879658,
215.36813115217365,
214.4573279580189,
213.54162659633568,
212.62109216477876,
211.69579591380085,
210.76581517920275,
209.83123330149712,
208.89213953235992,
207.94862892847266,
207.0008022330909,
206.04876574570156,
205.09263118015997,
204.13251551172317,
203.16854081342083,
202.2008340822281,
201.22952705552646,
200.2547560183583,
199.27666160199965,
198.29538857439164,
197.3110856229868,
196.32390513057948,
195.3340029447002,
194.34153814116578,
193.3466727823824,
192.34957167100754,
191.35040209957972,
190.34933359672888,
189.34653767058072,
188.34218754996863,
187.33645792406404,
186.32952468103292,
185.32156464632055,
184.31275532115987,
183.30327462189118,
182.2933006206698,
181.28301128812907,
180.2725842385521,
179.26219647809285,
178.25202415657233,
177.24224232335925,
176.23302468782754,
175.2245433848655,
174.21696874589207,
173.21046907581518,
172.20521043634832,
171.20135643607804,
170.19906802765448,
169.19850331245414,
168.199817353041,
167.20316199372866,
166.2086856895224,
165.21653334369657,
164.22684615423717,
163.23976146935695,
162.25541265226454,
161.27392895534524,
160.29543540388698,
159.32005268946074,
158.34789707304083,
157.37908029792635,
156.41370951250295,
155.4518872028598,
154.49371113525513,
153.5392743084013,
152.58866491551933,
151.6419663160913,
150.69925701721948,
149.76061066448122,
148.8260960421497,
147.89577708263243,
146.96971288496266,
146.0479577421611,
145.13056117727055,
144.21756798785125,
143.309018298709,
142.40494762261716,
141.50538692877925,
140.61036271876833,
139.71989710966892,
138.83400792413582,
137.95270878707785,
137.07600922866376,
136.20391479334236,
135.33642715456145,
134.47354423486502,
133.6152603310438,
132.76156624400917,
131.91244941305925,
131.06789405420156,
130.2278813021967,
129.39238935598576,
128.5613936271644,
127.7348668911667,
126.91277944082346,
126.09509924196111,
125.28179209070998,
124.47282177219344,
123.66815022027292,
122.86773767802818,
122.07154285865593,
121.27952310647555,
120.49163455773555,
119.70783230092017,
118.92807053626198,
118.15230273417191,
117.3804817923058,
116.61256019099277,
115.84849014675824,
115.0882237636825,
114.3317131823444,
113.57891072610482,
112.82976904448276,
112.08424125337277,
111.34228107190611,
110.60384295594943,
109.86888222837449,
109.1373552053188,
108.40921931461823,
107.68443320159894,
106.96295683520891,
106.2447516759806,
105.52978096650128,
104.81800988330906,
104.10940448439355,
103.40392853046427,
102.7015441723999,
102.002235990603,
101.30605781627736,
100.61308047902446,
99.92300813513117,
99.2346416312276,
98.54670953403598,
97.86278369254435,
97.20124771169695,
96.60534482487287,
96.14274398028384,
95.88704136179823
],
"yaxis": "y"
}
],
"layout": {
"autosize": true,
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"text": "System snapshot at time t=2502"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"domain": [
0,
1
],
"range": [
0,
199
],
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"domain": [
0,
1
],
"range": [
86.6031982134524,
272.280061180369
],
"title": {
"text": "[A]"
},
"type": "linear"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(f\"Resuming repeatedly injecting {delta_injection} at bin {leftmost_bin} and draining it at {rightmost_bin}\")\n",
"\n",
"for i in range(501):\n",
" # Inject to the leftmost bin\n",
" bio.inject_conc_to_bin(bin_address=leftmost_bin, chem_index=0, delta_conc=delta_injection, zero_clip = False)\n",
" \n",
" # Drain from the rightmost bin\n",
" bio.inject_conc_to_bin(bin_address=rightmost_bin, chem_index=0, delta_conc=-delta_injection, zero_clip = False)\n",
" \n",
" # Note: the NET GAIN of moles of A in the system is zero!\n",
" \n",
" # Diffuse for the time span delta_time\n",
" status = bio.diffuse(total_duration=delta_time, time_step=0.1)\n",
"\n",
" \n",
" if (i%25 == 0): # Display every so often \n",
" bio.visualize_system(show=True)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "2f10d42f-5f6e-487c-b905-9718058852eb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(262.99621803202314, 95.88704136179823)"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(bio.bin_concentration(bin_address=0, species_label=\"A\") ,\n",
" bio.bin_concentration(bin_address=rightmost_bin, species_label=\"A\"))"
]
},
{
"cell_type": "markdown",
"id": "bc793967-3421-45ce-afce-d6aec1259d10",
"metadata": {},
"source": [
"### The one-time pulse injected into the system, gradually \"melted down into\" the stationary gradient.\n",
"The gradient finally re-stabilizes with \n",
"[A] = 263 on the left and [A] = 95.89 on the right. \n",
"Their average is about 179.4, which is equal to the initial uniform concentration of 150, plus most of the bell curve, which had amplitude=30. (i.e. total area under it of 30, minus a little that was clipped to the left.)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "14bb0219",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
},
"toc-autonumbering": false,
"toc-showcode": true,
"toc-showmarkdowntxt": false
},
"nbformat": 4,
"nbformat_minor": 5
}