{
"cells": [
{
"cell_type": "markdown",
"id": "29473a1b-493c-40a0-80b6-4873d04b9407",
"metadata": {},
"source": [
"## Diffusion of a bell-shaped initial concentration along an 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\n",
"\n",
"LAST REVISED: Feb. 5, 2023"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d142d450-f2af-42fa-9026-2b44919c5b40",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Added 'D:\\Docs\\- MY CODE\\BioSimulations\\life123-Win7' to sys.path\n"
]
}
],
"source": [
"# Extend the sys.path variable, to contain the project's root directory\n",
"import set_path\n",
"set_path.add_ancestor_dir_to_syspath(3) # The number of levels to go up \n",
" # to reach the project's home, from the folder containing this notebook"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "9897632a-191c-4cdc-9bc2-a1143c2f0d36",
"metadata": {},
"outputs": [],
"source": [
"from src.life_1D.bio_sim_1d import BioSim1D\n",
"\n",
"import plotly.express as px\n",
"from src.modules.reactions.reaction_data import ReactionData as chem"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "99ab76d6",
"metadata": {},
"outputs": [],
"source": [
"# Initialize the system with a uniform concentration (of the only species)\n",
"chem_data = chem(names=[\"A\"], diffusion_rates=[3.])\n",
"bio = BioSim1D(n_bins=200, chem_data=chem_data)\n",
"\n",
"bio.set_uniform_concentration(species_index=0, conc=150.)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"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": "#636efa",
"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": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the system state so far\n",
"bio.visualize_system()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "1b0f749e-163c-4763-8c64-29a777f0edbb",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"coloraxis": "coloraxis",
"hovertemplate": "Bin number: %{x}
Chem. species: %{y}
Concentration: %{z}",
"name": "0",
"type": "heatmap",
"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",
"xgap": 0,
"y": [
"A"
],
"yaxis": "y",
"ygap": 0,
"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,
"coloraxis": {
"colorbar": {
"title": {
"text": "Concentration"
}
},
"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)"
]
]
},
"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 as a heatmap at time t=0"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"constrain": "domain",
"domain": [
0,
1
],
"range": [
-0.5,
199.5
],
"scaleanchor": "y",
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"constrain": "domain",
"domain": [
0,
1
],
"range": [
0.5,
-0.5
],
"title": {
"text": "Chem. species"
},
"type": "category"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Show as heatmap\n",
"fig = px.imshow(bio.system_snapshot().T, \n",
" title= f\"Diffusion. System snapshot as a heatmap at time t={bio.system_time}\", \n",
" labels=dict(x=\"Bin number\", y=\"Chem. species\", color=\"Concentration\"),\n",
" color_continuous_scale=\"gray_r\")\n",
"\n",
"fig.data[0].xgap=0\n",
"fig.data[0].ygap=0\n",
"\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"id": "4ecbe3fb-93dd-4fe5-bda6-b39a7deebf64",
"metadata": {},
"source": [
"# Start the simulation steps"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "972cbe64",
"metadata": {},
"outputs": [],
"source": [
"delta_time = 1."
]
},
{
"cell_type": "code",
"execution_count": 7,
"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": "#636efa",
"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=3.0000000000000013"
},
"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": "#636efa",
"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=1001.000000000159"
},
"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": "#636efa",
"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=2000.9999999992756"
},
"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": "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",
"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, species_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, species_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()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "bccd2a34-5389-4b12-9a9d-bb9a2aa1120b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(203.33945718438923, 96.66054281561514)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(bio.bin_concentration(bin_address=0, species_name=\"A\") ,\n",
" bio.bin_concentration(bin_address=rightmost_bin, species_name=\"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": 9,
"id": "7a494325-bfee-4860-b082-1e23f4bd63c6",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"coloraxis": "coloraxis",
"hovertemplate": "Bin number: %{x}
Chem. species: %{y}
Concentration: %{z}",
"name": "0",
"type": "heatmap",
"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",
"xgap": 0,
"y": [
"A"
],
"yaxis": "y",
"ygap": 0,
"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,
"coloraxis": {
"colorbar": {
"title": {
"text": "Concentration"
}
},
"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)"
]
]
},
"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 as a heatmap at time t=2000.9999999992756"
},
"xaxis": {
"anchor": "y",
"autorange": true,
"constrain": "domain",
"domain": [
0,
1
],
"range": [
-0.5,
199.5
],
"scaleanchor": "y",
"title": {
"text": "Bin number"
},
"type": "linear"
},
"yaxis": {
"anchor": "x",
"autorange": true,
"constrain": "domain",
"domain": [
0,
1
],
"range": [
0.5,
-0.5
],
"title": {
"text": "Chem. species"
},
"type": "category"
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Show as heatmap\n",
"fig = px.imshow(bio.system_snapshot().T, \n",
" title= f\"Diffusion. System snapshot as a heatmap at time t={bio.system_time}\", \n",
" labels=dict(x=\"Bin number\", y=\"Chem. species\", color=\"Concentration\"),\n",
" color_continuous_scale=\"gray_r\")\n",
"\n",
"fig.data[0].xgap=0\n",
"fig.data[0].ygap=0\n",
"\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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(species_name=\"A\", mean=0.25, sd=0.1, amplitude=30., bias=0)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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": "#636efa",
"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=2000.9999999992756"
},
"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": 12,
"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": "#636efa",
"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=2001.9999999992747"
},
"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": "#636efa",
"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": [
220.12213713065594,
220.01967748802278,
219.86319475191428,
219.72555058648396,
219.67331491726992,
219.74827032581703,
219.9669812826507,
220.3308449266062,
220.83606165159932,
221.47855144021514,
222.2547838297999,
223.16123798391467,
224.19401324565058,
225.34876854304292,
226.62075840608978,
228.00484404244477,
229.49547939795062,
231.0866923618785,
232.77206793588397,
234.54473339022394,
236.39734536609225,
238.3220797241417,
240.31062525381955,
242.35418230953206,
244.4434673029097,
246.56872384061057,
248.7197411483382,
250.8858802540662,
253.05610821963378,
255.2190405177551,
257.3629914583846,
259.4760323801084,
261.54605714351635,
263.56085429822474,
265.5081851464251,
267.3758667958103,
269.151859185024,
270.82435497634407,
272.38187114359073,
273.8133410382974,
275.1082056937314,
276.256503123901,
277.24895439253123,
278.07704526426016,
278.7331023059781,
279.2103623791266,
279.5030345525629,
279.60635356878385,
279.5166241122406,
279.231255255333,
278.7487845934813,
278.0688917232994,
277.19240086510786,
276.1212725804839,
274.8585846848707,
273.4085026020589,
271.77623954924763,
269.9680070761122,
267.99095660669184,
265.8531127469946,
263.5632992222249,
261.1310583939673,
258.5665653782792,
255.8805378395294,
253.08414257137858,
250.18889999525953,
247.2065877081468,
244.14914419570238,
241.02857379474437,
237.85685394140188,
234.64584567954589,
231.40720832960062,
228.15231913231912,
224.89219858736905,
221.63744210455658,
218.39815847820827,
215.18391558465444,
212.00369359090635,
208.86584585142876,
205.77806756121655,
202.74737212889409,
199.7800751348123,
196.8817856474864,
194.05740458835058,
191.31112976065313,
188.64646709409277,
186.06624760300247,
183.57264951279342,
181.167224977036,
178.85093078583526,
176.6241624547232,
174.48679108164077,
172.43820236707583,
170.4773372082875,
168.6027333019183,
166.81256721922927,
165.10469645369773,
163.47670098077566,
161.925923913196,
160.4495108813295,
159.04444781577152,
157.70759685765304,
156.43573017028328,
155.22556147286284,
154.07377516247652,
152.97705293378888,
151.93209784632705,
150.9356558265439,
149.98453462570558,
149.07562028483122,
148.205891184299,
147.37242977828578,
146.57243213295192,
145.80321540231785,
145.06222338725647,
144.34703033114673,
143.6553431107366,
142.98500198291887,
142.33398004771792,
141.70038158512426,
141.08243941880195,
140.4785114534403,
139.88707652492243,
139.30672969382874,
138.73617710334972,
138.1742305127059,
137.61980160688535,
137.07189617312252,
136.52960822422926,
135.99211413881181,
135.4586668786905,
134.9285903345919,
134.40127384248805,
133.87616690487673,
133.3527741438724,
132.83065050623577,
132.3093967344183,
131.78865511233337,
131.2681054898729,
130.74746158613883,
130.226467567925,
129.70489489712295,
129.18253943839466,
128.65921881661143,
128.13477001215136,
127.6090471811327,
127.08191968699056,
126.55327032943316,
126.02299375669871,
125.49099504713594,
124.95718844641046,
124.42149624706245,
123.88384779767804,
123.34417862955783,
122.80242968944823,
122.25854666762335,
121.71247941134715,
121.16418141449512,
120.61360937485567,
120.06072281135638,
119.5054837341594,
118.94785636123744,
118.38780687567395,
117.82530321852242,
117.26031491261227,
116.69281291319709,
116.12276948181007,
115.55015808011808,
114.97495328095341,
114.39713069405258,
113.81666690434542,
113.23353942091984,
112.64772663503771,
112.0592077857973,
111.46796293222155,
110.87397293071201,
110.27721941700283,
109.67768479206332,
109.07535221164251,
108.47020557832471,
107.86222953200237,
107.25140943374394,
106.63773135587905,
106.02118213968126,
105.40174958124838,
104.77942248445275,
104.15418951511803,
103.52603593458228,
102.89494420507145,
102.2609179526296,
101.6240287176529,
100.9843636374583,
100.34164171529682,
99.69467713052887,
99.04221022072117,
98.38782300203522,
97.74990760703356,
97.17171412720579,
96.72091667537121,
96.47111488848739
],
"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=2021.9999999992565"
},
"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": [
86.29693496180425,
289.78053349546695
],
"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": "#636efa",
"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": [
228.48218708077076,
228.3574798018175,
228.1564937785302,
227.95207341271865,
227.81075982954462,
227.77429226423502,
227.85917404607866,
228.06672046568025,
228.39302742228875,
228.83388743612798,
229.38562151799775,
230.04454389047953,
230.80658033327404,
231.66721876158374,
232.62155985678595,
233.66434606707784,
234.7899685871352,
235.9924719841596,
237.2655626434751,
238.6026202877969,
239.99671167133542,
241.44060634127163,
242.92679466302948,
244.4475082842245,
245.99474313692377,
247.56028502921228,
249.1357378434634,
250.71255432391217,
252.2820693965598,
253.83553592186888,
255.36416273691944,
256.8591547997153,
258.3117552049548,
259.7132887986441,
261.0552070793204,
262.3291340372259,
263.5269125503512,
264.64065092858533,
265.66276917492763,
266.58604451638024,
267.4036557471943,
268.10922592389846,
268.6968629551799,
269.1611976402747,
269.4974187269708,
269.7013045844328,
269.7692511164846,
269.6982955772991,
269.48613599308425,
269.1311459396849,
268.6323844763202,
267.98960108915753,
267.20323555425875,
266.2744126867511,
265.20493200099645,
263.9972523641735,
262.6544717821803,
261.18030251127453,
259.5790417406001,
257.85553813896513,
256.0151546032737,
254.06372758527218,
252.00752340726194,
249.8531920057279,
247.6077185641351,
245.2783735122387,
242.87266137902512,
240.39826898985075,
237.8630134955541,
235.27479071248075,
232.6415242377473,
229.9711157840396,
227.27139715322437,
224.5500842385419,
221.81473341169504,
219.07270061434207,
216.33110343396592,
213.59678640246932,
210.87628971278932,
208.1758215049811,
205.501233829231,
202.85800234972902,
200.25120981084558,
197.68553324615542,
195.16523487202042,
192.6941565711238,
190.27571783791774,
187.912917027718,
185.60833572441027,
183.36414601860176,
181.18212046868788,
179.06364450175758,
177.0097309995342,
175.0210368065785,
173.09788089365233,
171.24026390829582,
169.44788884709973,
167.72018258962126,
166.05631804212123,
164.4552366500003,
162.91567105067048,
161.43616765328971,
160.01510894798832,
158.6507353645945,
157.34116651910642,
156.08442170494632,
154.87843950507624,
153.72109642007848,
152.61022442605324,
151.54362739443215,
150.51909632334684,
149.53442334685025,
148.58741450391645,
147.67590126362552,
146.79775081617746,
145.95087515130962,
145.1332389562761,
144.342866374766,
143.57784667599617,
142.83633888974003,
142.11657546828474,
141.4168650403049,
140.73559432447195,
140.07122927235986,
139.42231551095412,
138.78747815490914,
138.16542105773118,
137.55492556938518,
136.95484886553444,
136.36412191081916,
135.7817471153543,
135.20679574007434,
134.63840510274892,
134.07577563252454,
133.5181678167803,
132.96489907998736,
132.4153406301892,
131.86891430472315,
131.32508944292587,
130.78337980984523,
130.24334059144243,
129.70456547844086,
129.16668385287377,
128.6293580885169,
128.09228097376794,
127.5551732631588,
127.01778136155315,
126.47987514318845,
125.94124590606083,
125.4017044607112,
124.86107935124171,
124.31921520535926,
123.77597120939227,
123.2312197035452,
122.68484489212501,
122.13674166308245,
121.58681451093992,
121.03497655701777,
120.48114866080137,
119.92525861630553,
119.36724042737418,
118.80703365599177,
118.24458283786775,
117.67983695977776,
117.11274899339492,
116.54327548061566,
115.97137616566893,
115.39701366959011,
114.82015320293662,
114.24076231291606,
113.658810661387,
113.07426983047495,
112.48711315281783,
111.89731556371294,
111.30485347267313,
110.70970465212068,
110.11184814121012,
109.51126416315748,
108.90793405477281,
108.30184020614422,
107.69296600553331,
107.0812957836863,
106.46681476968033,
105.84950911904903,
105.22936607421535,
104.60637399559045,
103.98052119703803,
103.35179266345698,
102.72017064254693,
102.08565859618648,
101.44832794119354,
100.80826572365673,
100.16519088103784,
99.51791754658169,
98.8651860266381,
98.21057831713489,
97.57248653821766,
96.99416077426811,
96.54327513438443,
96.2934292537964
],
"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=2041.9999999992383"
},
"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": [
86.65588359475817,
279.4067967755228
],
"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": "#636efa",
"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": [
235.49517907328706,
235.34819322348554,
235.1026717855675,
234.83150336677764,
234.60129726975114,
234.45388709722044,
234.40589965086642,
234.4588063729672,
234.60889617998393,
234.85219621446146,
235.18530893763952,
235.60488247558385,
236.10723489806924,
236.68831093419914,
237.34373882791604,
238.0688655246679,
238.85876966276945,
239.70827189389757,
240.61194855757645,
241.56414781254412,
242.55900717479378,
243.59047220638126,
244.65231640917295,
245.73816236573745,
246.84150410731925,
247.95573065648668,
249.07415067788017,
250.1900181579631,
251.29655901985566,
252.3869985635194,
253.45458960600612,
254.49264118163475,
255.49454764798338,
256.45381803067716,
257.3641054283516,
258.21923628910963,
259.0132393614897,
259.7403741166131,
260.39515843395003,
260.972395341173,
261.46719859896615,
261.8750169244959,
262.191656652568,
262.41330264128794,
262.53653723928016,
262.55835714411796,
262.4761879964628,
262.28789657136167,
261.99180044701154,
261.58667505186764,
261.07175801299707,
260.4467507517968,
259.7118172973252,
258.86758031223,
257.9151143512879,
256.85593639758577,
255.6919937460507,
254.42564932806854,
253.05966459401327,
251.59718009235752,
250.04169390437738,
248.397038112056,
246.6673534934122,
244.85706265394074,
242.97084181498929,
241.01359148959384,
238.9904062834518,
236.90654406328454,
234.76739473680345,
232.5784488878687,
230.34526650726696,
228.0734460539207,
225.76859407339208,
223.43629559040647,
221.0820854799614,
218.71142100760494,
216.3296557138695,
213.94201480086593,
211.55357216091548,
209.16922916807164,
206.79369533371107,
204.43147090730614,
202.08683148327592,
199.7638146546924,
197.46620873482317,
195.19754354823974,
192.96108327471464,
190.7598213115547,
188.59647710353778,
186.47349487437845,
184.39304417976777,
182.35702218960836,
180.36705759617695,
178.42451603564155,
176.53050690266798,
174.68589143177934,
172.8912919146636,
171.14710191972972,
169.4534973788335,
167.8104484061657,
166.21773171573093,
164.6749435065523,
163.18151268860345,
161.73671432738743,
160.33968319092213,
158.98942728953696,
157.6848413062014,
156.42471982296914,
155.2077702574047,
154.0326254314383,
152.89785570385447,
151.8019806064437,
150.74347993263524,
149.72080423608074,
148.73238470508718,
147.77664238692685,
146.85199674380823,
145.95687352962216,
145.0897119834267,
144.24897134197056,
143.43313667934183,
142.64072408705312,
141.87028521251892,
141.12041117794797,
140.3897359051634,
139.67693887478913,
138.98074735062164,
138.29993810185994,
137.63333865722552,
136.97982812589504,
136.33833762062815,
135.7078503185347,
135.08740119462948,
134.47607646270447,
133.87301275714944,
133.27739608820718,
132.68846060179953,
132.1054871735392,
131.52780186488533,
130.95477426764143,
130.38581576116005,
129.8203777047435,
129.25794958583222,
128.69805714268153,
128.14026047836103,
127.58415218108699,
127.02935546413285,
126.47552233686868,
125.9223318168685,
125.3694881915025,
124.81671933600552,
124.26377509368922,
123.7104257227436,
123.15646041295798,
122.6016858746782,
122.04592500140741,
121.48901560664764,
120.93080923486495,
120.37117004583932,
119.80997377112531,
119.24710674089602,
118.68246497906587,
118.11595336428067,
117.54748485412071,
116.9769797696786,
116.40436513754192,
115.82957408612587,
115.25254529325821,
114.67322248191114,
114.09155396099956,
113.50749220821523,
112.9209934919407,
112.33201752937879,
111.74052717813719,
111.14648815861533,
110.54986880465462,
109.95063984009035,
109.34877417916267,
108.74424674901248,
108.13703433170267,
107.52711542029435,
106.91447008263806,
106.299079844453,
105.68092765189606,
105.05999797311777,
104.43627677664969,
103.80975031982902,
103.18040182454453,
102.54821203192601,
101.91318312099327,
101.27538542065089,
100.63490505886446,
99.99146020289649,
99.34386434484776,
98.69085726284908,
98.03602052391295,
97.39774590726248,
96.81928323517921,
96.36830642631436,
96.11841499182347
],
"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=2061.99999999922"
},
"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": [
86.87175153891822,
271.8050205970232
],
"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": "#636efa",
"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": [
241.23198065406834,
241.06502637345704,
240.77961803654696,
240.44874439377134,
240.13916550069044,
239.8929169498223,
239.72687957485337,
239.6428318500218,
239.63742380216235,
239.70709892479857,
239.84893247487165,
240.0601030189063,
240.3375178583178,
240.67777078555525,
241.07719981999998,
241.53192305957958,
242.03785206617866,
242.59070225462943,
243.1860062572592,
243.81912931676766,
244.4852856108501,
245.1795552109765,
245.8969016934352,
246.63219041526241,
247.3802074126862,
248.13567885535477,
248.8932909840372,
249.64771045603737,
250.39360501717192,
251.12566441299825,
251.83862144613735,
252.52727308130764,
253.18650149507985,
253.81129496341183,
254.3967684768052,
254.93818397052246,
255.43097005578855,
255.8707411373332,
256.2533158030597,
256.574734373086,
256.83127549792454,
257.01947169915263,
257.13612375058227,
257.1783138036387,
257.1434171673834,
257.02911266131684,
256.8333914677104,
256.5545644196858,
256.19126767148794,
255.74246670829848,
255.20745866440635,
254.58587293047773,
253.8776700429269,
253.08313886086324,
252.20289204864585,
251.2378598945834,
250.18928250864633,
249.05870045407684,
247.847943879366,
246.55912022809127,
245.194600614461,
243.7570049619819,
242.24918601135792,
240.674212311454,
239.03535031384095,
237.33604569701433,
235.57990405080338,
233.7706710547157,
231.91221228598144,
230.00849279385884,
228.06355657634631,
226.0815060938378,
224.06648195148998,
222.022642878192,
219.9541461250942,
217.8651284007386,
215.75968745301358,
213.6418644005212,
211.5156269075905,
209.38485328819803,
207.2533176145692,
205.1246758963456,
203.0024533860195,
200.89003305596998,
198.79064528199567,
196.70735875783205,
194.6430726548702,
192.60051003125687,
190.58221248484494,
188.59053603516247,
186.62764821075706,
184.69552631001608,
182.79595679592532,
180.93053577825722,
179.10067053041718,
177.30758198265394,
175.55230812857926,
173.83570827795495,
172.15846808549705,
170.5211052830093,
168.92397604047972,
167.36728188083194,
165.8510770727896,
164.37527642675178,
162.9396634196512,
161.54389857642704,
160.18752803794501,
158.86999224788278,
157.59063469421727,
156.34871064444397,
155.14339581747052,
153.9737949392007,
152.8389501331038,
151.73784910149405,
150.66943305777014,
149.63260437443802,
148.62623391631035,
147.64916803279985,
146.70023518766078,
145.77825220884404,
144.88203014528446,
144.01037972140477,
143.16211638387347,
142.33606493867347,
141.53106377980725,
140.74596871397003,
139.97965638825616,
139.23102733041972,
138.49900861338722,
137.78255615761813,
137.08065668653356,
136.3923293515911,
135.71662704468167,
135.05263741637816,
134.3994836191822,
133.75632479531512,
133.1223563287929,
132.49680988153133,
131.87895323306262,
131.26808994312546,
130.66355885593597,
130.06473346436988,
129.47102115161042,
128.8818623270502,
128.29672947240104,
127.71512611307472,
127.13658572896458,
126.5606706177974,
125.98697072324684,
125.41510243901728,
124.84470739912884,
124.27545126366991,
123.70702250834094,
123.13913122519862,
122.57150794112978,
122.0039024597428,
121.43608273156649,
120.86783375669332,
120.29895652330053,
119.72926698482665,
119.15859507797711,
118.58678378317802,
118.0136882285927,
117.43917483836033,
116.86312052530802,
116.28541192802618,
115.70594469187913,
115.12462279324708,
114.54135790605905,
113.95606880947675,
113.3686808354246,
112.77912535452806,
112.18733929891883,
111.59326472028613,
110.99684838148795,
110.39804137999297,
109.79679880145477,
109.19307940190734,
108.58684531721975,
107.97806179755653,
107.36669696158462,
106.75272156421615,
106.13610878951832,
105.51683412898885,
104.89487540464066,
104.2702126746447,
103.64282695460773,
103.0126968316145,
102.37979896248297,
101.74413194106275,
101.10576296377019,
100.46477543700101,
99.82088518010723,
99.17290367799818,
98.51956901353523,
97.86446134556712,
97.22597131127577,
96.64734783974427,
96.19626419158071,
95.94631944486765
],
"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=2081.999999999202"
},
"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": [
86.98898642493593,
266.13564682357037
],
"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": "#636efa",
"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=2101.9999999991837"
},
"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": "#636efa",
"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": [
249.5854207665154,
249.3880103624329,
249.0417919840801,
248.61995862177983,
248.18957626011124,
247.7930875843135,
247.44788097004738,
247.15634196780545,
246.9158260855727,
246.72357934316295,
246.57757496115667,
246.47598303228648,
246.41679378518543,
246.39777287205766,
246.41651630922394,
246.47048318723722,
246.5570055506275,
246.67329490082483,
246.81645128032315,
246.98347397978557,
247.1712727637636,
247.37667931348486,
247.5964589050659,
247.82732234058142,
248.0659380992992,
248.30894465713934,
248.55296292211315,
248.7946087354227,
249.0305053879005,
249.25729610062555,
249.47165641788797,
249.67030646038683,
249.8500229865733,
250.0076512103401,
250.14011632381533,
250.24443467485358,
250.31772454994052,
250.35721651463982,
250.36026326541514,
250.32434894865284,
250.24709790498557,
250.1262827995701,
249.9598321017908,
249.74583688093222,
249.48255688767424,
249.16842589479495,
248.80205627419636,
248.3822427912775,
247.9079656017409,
247.37839244010732,
246.79287999349935,
246.1509744586119,
245.4524112841798,
244.69711410565503,
243.88519288318088,
243.0169412582684,
242.09283314880994,
241.113518606171,
240.07981896205825,
238.99272129663493,
237.85337226291813,
236.66307130582024,
235.4232633172611,
234.1355307715592,
232.80158538778642,
231.4232593679269,
230.00249626149747,
228.5413415087594,
227.04193271576318,
225.50648971522034,
223.93730446758076,
222.33673085671785,
220.7071744342842,
219.0510821661093,
217.3709322329755,
215.6692239367435,
213.94846776111615,
212.2111756343525,
210.4598514389874,
208.69698181110283,
206.9250272689538,
205.1464137078085,
203.3635242947338,
201.57869179378548,
199.79419134866285,
198.01223374639838,
196.23495918209838,
194.46443154116182,
192.7026332118079,
190.95146043716855,
189.21271921267558,
187.48812173101743,
185.77928337358668,
184.08772024410266,
182.41484723700015,
180.76197663024143,
179.1303171894519,
177.52097376771533,
175.93494738300504,
174.3731357530821,
172.83633426577146,
171.32523736083417,
169.84044029819603,
168.3824412860686,
166.9516439415093,
165.54836005521022,
164.17281263177367,
162.82513917642586,
161.505395199023,
160.21355790631523,
158.94953005373563,
157.71314392846824,
156.50416543620258,
155.32229826479406,
154.1671880990015,
153.03842686155238,
151.93555695697813,
150.85807549594978,
149.80543847921368,
148.77706492166448,
147.7723408985781,
146.79062349755552,
145.83124466127381,
144.89351490770156,
143.97672691599035,
143.08015896779588,
142.20307823529856,
141.34474390867334,
140.50441015719474,
139.68132891954593,
138.87475252022324,
138.08393611018374,
137.30813993106915,
136.54663140344627,
135.79868704053604,
135.06359418984863,
134.3406526060083,
133.6291758588303,
132.92849258140993,
132.2379475635949,
131.55690269674463,
130.88473777612924,
130.22085116769594,
129.56466034622784,
128.91560231214913,
128.27313389439018,
127.63673194682382,
127.00589344582164,
126.38013549646314,
125.75899525486328,
125.14202977397255,
124.5288157800502,
123.91894938682225,
123.31204575411483,
122.70773869750465,
122.10568025525731,
121.50554021853317,
120.90700563053478,
120.30978025995302,
119.7135840537434,
119.11815257393484,
118.52323642284058,
117.92860066071154,
117.33402421954372,
116.73929931643116,
116.14423086954088,
115.54863591948256,
114.95234305855149,
114.35519187004206,
113.75703237956051,
113.15772452001151,
112.55713761169363,
111.95514985871559,
111.35164786273322,
110.74652615480329,
110.13968674596029,
109.53103869700497,
108.92049770802898,
108.30798572819901,
107.6934305852833,
107.07676563125193,
106.4579293991905,
105.83686528447177,
105.21352131156868,
104.5878500470143,
103.95980839720383,
103.32935622495478,
102.69645286269325,
102.06105751436237,
101.42315303144595,
100.78279249278687,
100.14004673225897,
99.49462046833436,
98.84531548990655,
98.19086152879052,
97.53483168495488,
96.89561078332665,
96.31644314921768,
95.8649986173145,
95.6148739945839
],
"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=2121.9999999991655"
},
"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": [
87.01790792398216,
258.9572293360169
],
"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": "#636efa",
"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": [
252.56672607668364,
252.35828953059462,
251.99005902140007,
251.53530770943263,
251.06122149358842,
250.61040230927725,
250.20043657423622,
249.83394599409905,
249.5085595321179,
249.22183301748458,
248.9720847564539,
248.75786399568884,
248.57757284964958,
248.42942012586997,
248.3114746797782,
248.2216964189221,
248.15794436033127,
248.11798119878137,
248.0994803488247,
248.10003450770466,
248.11716464088968,
248.1483290954133,
248.19093286679276,
248.24233704506744,
248.29986841607075,
248.3608291754842,
248.42250671358903,
248.4821834311984,
248.53714654785907,
248.58469786312884,
248.62216343157698,
248.64690311230967,
248.65631995421634,
248.6478693787084,
248.61906812247432,
248.56750290371102,
248.49083877641144,
248.38682713859197,
248.2533133618271,
248.0882440111171,
247.88967362594062,
247.65577103533445,
247.38482518198316,
247.07525043258636,
246.7255913541882,
246.33452693868986,
245.90087426040776,
245.42359155427357,
244.90178070508287,
244.33468914106734,
243.72171112797884,
243.0623884628098,
242.35641056922026,
241.6036139996737,
240.80398135218866,
239.95763961246803,
239.06485793495833,
238.12604487909508,
237.14174511959547,
236.11263565214398,
235.0395215181677,
233.92333107460018,
232.7651108365702,
231.56601992281483,
230.3273241352904,
229.05038970593228,
227.73667674478517,
226.3877324247843,
225.00518393930633,
223.59073126922698,
222.14613979661567,
220.67323280236596,
219.1738838850072,
217.65000933766854,
216.1035605196779,
214.53651625858038,
212.95087531746205,
211.3486489613747,
209.73185365538478,
208.10250392532933,
206.46260541076313,
204.8141481378418,
203.15910003801585,
201.49940073643106,
199.83695563185134,
198.17363028776367,
196.51124515210154,
194.8515706207561,
193.19632245774432,
191.54715758259138,
189.90567023317473,
188.273388509985,
186.65177130550157,
185.04220562016974,
183.44600426431896,
181.86440394328744,
180.29856372103197,
178.74956385561165,
177.21840499815312,
175.70600774523658,
174.21321253310086,
172.74077986065024,
171.28939082696763,
169.85964796789767,
168.45207637526232,
167.0671250814156,
165.7051686911266,
164.3665092422079,
163.05137827587197,
161.75993909750048,
160.49228920834815,
159.24846288866596,
158.02843391281502,
156.8321183771465,
155.65937762173436,
154.51002122746428,
153.38381007049009,
152.28045941666642,
151.19964203923925,
150.14099134381928,
149.10410448546693,
148.08854546357335,
147.09384818112045,
146.11951945583584,
145.16504197171886,
144.2298771603906,
143.3134680027091,
142.4152417420813,
141.53461250188974,
140.6709838004276,
139.82375095769297,
138.9923033893312,
138.17602678391933,
137.3743051606637,
136.5865228054203,
135.81206608374524,
135.05032513044006,
134.30069541576387,
133.56257918914963,
132.83538680187257,
132.11853791068347,
131.4114625649315,
130.71360218016287,
130.02441040159346,
129.34335386121433,
128.6699128326022,
128.00358178777194,
127.34386986062687,
126.69030122173852,
126.04241536931931,
125.39976734134562,
124.76192785384345,
124.12848337036957,
123.49903610770875,
122.87320398276556,
122.25062050555985,
121.63093462314117,
121.01381051912094,
120.39892737338631,
119.78597908640708,
119.17467397238013,
118.56473442527782,
117.95589656167775,
117.34790984405552,
116.74053668802094,
116.13355205677253,
115.52674304583876,
114.91990846096725,
114.31285839181753,
113.70541378391016,
113.09740601108594,
112.48867645053609,
111.87907606227735,
111.26846497476286,
110.65671207813625,
110.04369462645958,
109.429297850135,
108.81341457977572,
108.19594488277609,
107.57679571277939,
106.95588056907698,
106.3331191618609,
105.70843709693683,
105.08176564191791,
104.45304163501493,
103.8222072757005,
103.18920873171405,
102.55399264079561,
101.91650649973231,
101.27672242656445,
100.63468372605234,
99.99045240284973,
99.34372527677972,
98.69329715489395,
98.0378916910231,
97.38107679912791,
96.7412329995123,
96.16160118513704,
95.70984862313175,
95.45957041198328
],
"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=2141.9999999991473"
},
"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": [
86.7313950972777,
261.2949013913892
],
"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": "#636efa",
"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": [
254.95364499036958,
254.73635469901453,
254.35044907966366,
253.8692659327239,
253.36008781584883,
252.86564498121507,
252.4036833420263,
251.97701468150652,
251.58348791050096,
251.22090785020887,
250.8878699066935,
250.58322748940003,
250.30571278869232,
250.05388934982366,
249.8262040789586,
249.62101680546093,
249.4366068089321,
249.27117577391667,
249.12285314068984,
248.98970290519247,
248.86973077618865,
248.7608914015558,
248.66109569657567,
248.5682183072197,
248.48010519233554,
248.39458129039102,
248.30945823708973,
248.22254210300028,
248.1316411211713,
248.03457337461126,
247.92917441349687,
247.8133047722304,
247.684857356911,
247.54176467436088,
247.38200587454563,
247.20361357905338,
247.00468046924817,
246.78336560878887,
246.5379004764005,
246.26659468609424,
245.96784137345117,
245.64012222810715,
245.2820121541943,
244.8921835422001,
244.4694101374927,
244.0125704926185,
243.52065099239712,
242.99274844281263,
242.42807221671063,
241.82594595135777,
241.18580879498262,
240.50721620149048,
239.78984027461448,
239.03346966482098,
238.2380090243172,
237.40347802750108,
236.53000996613827,
235.61784993043486,
234.66735258898993,
233.67897958234553,
232.65329654649645,
231.59096978426717,
230.49276260390107,
229.35953134552923,
228.1922211173858,
226.9918612647086,
225.75956059520132,
224.49650238573227,
223.20393919560289,
221.88318751223298,
220.53562225547685,
219.16267116700644,
217.76580911127385,
216.34655231449727,
214.90645256790384,
213.44709142111518,
211.97007439107736,
210.4770252113261,
208.96958014564171,
207.44938238929657,
205.91807658013659,
204.37730344067498,
202.82869457122135,
201.27386741282953,
199.71442039753313,
198.15192830196037,
196.58793781898444,
195.02396336058968,
193.46148310361997,
191.90193528853982,
190.34671477978867,
188.79716989475324,
187.2545995068355,
185.72025042655974,
184.19531506315363,
182.68092936756247,
181.17817105642126,
179.6880581151245,
178.21154757680432,
176.74953457276104,
175.30285164869323,
173.87226833995012,
172.45849099798392,
171.0621628592167,
169.68386434665823,
168.32411359382138,
166.98336717978083,
165.6620210636111,
164.36041170592017,
163.0788173647664,
161.81745955290768,
160.57650464308009,
159.35606560783944,
158.15620388041646,
156.9769313230364,
155.81821228922936,
154.67996576680582,
153.5620675883911,
152.46435269669277,
151.38661745201776,
150.32862196995066,
149.29009247755153,
148.27072367691926,
147.27018110549682,
146.28810348305487,
145.32410503588224,
144.3777777893235,
143.44869382043683,
142.5364074631887,
141.64045745925532,
140.76036904815652,
139.89565599110415,
139.04582252359734,
138.21036523243893,
137.38877485347803,
136.58053798699686,
135.78513872825602,
135.00206021128707,
134.23078606457148,
133.47080177776965,
132.7215959791625,
131.98266162393472,
131.253497093869,
130.5336072094264,
129.822504155565,
129.1197083229918,
128.42474906685558,
127.73716538516747,
127.05650651948494,
126.38233248061196,
125.71421450225533,
125.05173542573495,
124.39449001897546,
123.74208523310874,
123.0941404000936,
122.45028737481121,
121.81017062512382,
121.17344727339196,
120.53978709293355,
119.90887246287753,
119.28039828481725,
118.65407186460745,
118.02961276257159,
117.40675261529996,
116.78523493211952,
116.16481486921043,
115.5452589842292,
114.92634497417777,
114.30786139913243,
113.68960739431783,
113.07139237287936,
112.45303572157601,
111.83436649148355,
111.2152230856634,
110.59545294561157,
109.97491223816257,
109.35346554444222,
108.73098555252554,
108.10735275546963,
107.48245515535591,
106.85618797082114,
106.22845334445232,
105.5991600641063,
104.96822336062765,
104.33556484352806,
103.70111231434386,
103.06479839256656,
102.4265570329488,
101.78632392716655,
101.14406027606427,
100.49979936294281,
99.85359407267248,
99.20513301134059,
98.55320368140231,
97.8965233433052,
97.23865443013221,
96.59797289453203,
96.01771597535424,
95.56554819923747,
95.315062837749
],
"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=2161.999999999129"
},
"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": [
86.44625271815896,
263.8224551099596
],
"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": "#636efa",
"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": [
256.86323628886214,
256.6388314053198,
256.2387223746186,
255.73629844390243,
255.19891909300856,
254.66941667523295,
254.16566399014528,
253.69062400313322,
253.24232051956432,
252.81875629220835,
252.41874693102932,
252.04138747038317,
251.68567221177454,
251.3504462830606,
251.0344565535166,
250.73638003309307,
250.45482916876878,
250.18835350563586,
249.93544368613462,
249.69453684577834,
249.46402231897517,
249.242247372628,
249.0275230063738,
248.81812985865054,
248.61232420887154,
248.40834404789382,
248.2044151897537,
247.99875740057544,
247.7895905214626,
247.57514056213273,
247.3536457420549,
247.12336245608464,
246.8825711419826,
246.62958202769065,
246.362740736813,
246.08043373141606,
245.7810935720152,
245.46320397546285,
245.1253046523781,
244.7659959067683,
244.38394298157482,
243.97788013503023,
243.5466144339323,
243.08902925121822,
242.60408745655454,
242.09083429003476,
241.5483999104961,
240.97600161141614,
240.37294569882755,
239.73862902718338,
239.07254019061088,
238.37426036850076,
237.64346382588198,
236.87991807052484,
236.083483670186,
235.25411373485437,
234.39185307026492,
233.49683701031717,
232.56928993735153,
231.60952350050096,
230.61793454353653,
229.59500275475844,
228.54128805254413,
227.45742772114684,
226.3441333122368,
225.20218732848795,
224.03243970623535,
222.8358041148549,
221.61325409104884,
220.36581902665486,
219.09458002893112,
217.80066567250532,
216.48524766231262,
215.14953642688428,
213.7947766612892,
212.42224283887535,
211.0332347107085,
209.62907281126755,
208.21109398852863,
206.78064697606263,
205.33908802418134,
203.8877766065081,
202.4280712176174,
200.96132527659523,
199.48888315052218,
198.01207631097878,
196.53221963572602,
195.05060786672914,
193.56851223467498,
192.08717725908974,
190.6078177321025,
189.1316158928249,
187.65971879823732,
186.19323589539073,
184.73323679866056,
183.28074927472736,
181.83675743691578,
180.40220014950393,
178.97796964162552,
177.56491032942847,
176.16381784423683,
174.7754382635847,
173.400467541161,
172.03955113092152,
170.69328379989645,
169.36220962354454,
168.04682215688868,
166.74756477410523,
165.4648311687391,
164.1989660062748,
162.95026572041263,
161.71897944407777,
160.50531006592914,
159.3094154029318,
158.13140947941255,
156.97136390292889,
155.82930932724776,
154.70523699274824,
153.5991003346304,
152.51081664942774,
151.44026881048026,
150.38730702322812,
149.3517506114241,
148.3333898256413,
147.33198766575842,
146.3472817094436,
145.37898593901923,
144.4267925594754,
143.49037380080304,
142.56938369823771,
141.663459844435,
140.7722251080411,
139.89528931356767,
139.0322508779309,
138.1826983994647,
137.34621219566682,
136.5223657863798,
135.71072731954487,
134.9108609370954,
134.12232807897038,
133.3446887236338,
132.57750256387223,
131.82033011701685,
131.07273376908944,
130.33427875271082,
129.60453405892596,
128.88307328339855,
128.16947540770508,
127.46332551671523,
126.7642154532803,
126.07174441166703,
125.38551947136735,
124.70515607308802,
124.03027843887669,
123.36051993847416,
122.6955234040962,
122.03494139594325,
121.37843642081363,
120.72568110625568,
120.07635833273832,
119.43016132634756,
118.78679371453059,
118.14596954740995,
117.50741328717767,
116.87085976805659,
116.23605412928181,
115.60275172351211,
114.97071800302955,
114.33972838602581,
113.7095681052089,
113.08003204089131,
112.45092454064657,
111.82205922754092,
111.19325879886247,
110.56435481717345,
109.9351874954134,
109.30560547773771,
108.67546561787123,
108.04463275679979,
107.41297950061336,
106.78038599618053,
106.1467397012483,
105.51193516326188,
104.87587386962254,
104.23846423119959,
103.59962143907059,
102.95926612964388,
102.31732093722435,
101.67371092725767,
101.02838739672862,
100.38137447241317,
99.73271665199661,
99.08209494298411,
98.42829005457556,
97.77001327366231,
97.11082189166031,
96.46908756159995,
95.88804407302209,
95.43535336003912,
95.18460696324995
],
"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=2181.999999999111"
},
"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": [
86.20246088960482,
265.8453823625073
],
"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": "#636efa",
"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=2201.999999999093"
},
"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": "#636efa",
"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": [
259.604222133521,
259.3694442328623,
258.94862580026773,
258.4152292061728,
257.83672326244687,
257.2560854412507,
256.6913688879296,
256.1457514448602,
255.617505496921,
255.10491512054725,
254.60710890932174,
254.1235253354907,
253.65353127040734,
253.19637211011894,
252.75122115130046,
252.31720635209078,
251.89341389738027,
251.47888804321988,
251.07263322117066,
250.6736174686714,
250.2807761070761,
249.89301539336367,
249.5092161929435,
249.12823772151702,
248.74892135521705,
248.37009449028903,
247.9905744344606,
247.60917231513335,
247.22469699045197,
246.83595894923067,
246.44177418564763,
246.04096803474602,
245.63237895501885,
245.21486224464982,
244.78729367832122,
244.34857305188967,
243.89762762266957,
243.43341543355263,
242.95492850972744,
242.46119591734035,
241.95128667405848,
241.4243125021533,
240.87943041541405,
240.31584513192462,
239.73281130548912,
239.12963556926778,
238.5056783859818,
237.86035569986248,
237.19314038634568,
236.50356349635413,
235.7912152928515,
235.05574607819986,
234.29686681169628,
233.51434951750173,
232.70802748400567,
231.8777952564846,
231.02360842571147,
230.14548321595115,
229.2434958765316,
228.31778188190714,
227.36853494582655,
226.39600585588337,
225.40050113535187,
224.3823815398022,
223.3420603965355,
222.28000179538574,
221.19671863989464,
220.09277056828037,
218.9687617539874,
217.8253385959216,
216.66318730874323,
215.4830314238078,
214.28562921151214,
213.07177103592042,
211.84227665261037,
210.59799246069855,
209.33978871997027,
208.06855674396078,
206.78520607970773,
205.49066168472368,
204.18586111152172,
202.87175170977167,
201.54928785586776,
200.21942821935528,
198.88313307529603,
197.54136167125196,
196.19506965713634,
194.84520658572484,
193.49271349113877,
192.1385205521104,
190.78354484632095,
189.42868820156627,
188.07483514895975,
186.72285098282416,
185.3735799313645,
184.0278434416468,
182.68643858184475,
181.35013656315158,
180.0196813831995,
178.69578859227818,
177.37914418310643,
176.07040360438504,
174.77019089784812,
173.47909795803727,
172.19768391354896,
170.92647462805184,
169.66596231894061,
168.4166052910865,
167.17882778276288,
165.95301992046973,
164.73953777905302,
163.53870354321543,
162.3508057662429,
161.1760997215301,
160.0148078422736,
158.8671202445176,
157.73319532858187,
156.6131604537741,
155.50711268119085,
154.41511957933994,
153.33722008727344,
152.27342542990095,
151.2237200801623,
150.18806276276698,
149.16638749426366,
148.15860465427838,
147.1646020828547,
146.18424619894628,
145.21738313524313,
144.26383988466299,
143.32342545400235,
142.3959320204183,
141.48113608660205,
140.5787996307027,
139.6886712472685,
138.8104872756872,
137.94397291282914,
137.08884330682085,
136.24480462910708,
135.41155512218856,
134.5887861206547,
133.77618304336067,
132.97342635482744,
132.1801924941691,
131.39615477007467,
130.62098422058855,
129.85435043664683,
129.09592234853162,
128.34536897460526,
127.60236013187671,
126.86656710813641,
126.13766329556996,
125.41532478592654,
124.69923092747449,
123.98906484412292,
123.28451391722552,
122.58527023070951,
121.89103098029024,
121.20149884763903,
120.5163823404697,
119.83539609959651,
119.15826117409499,
118.48470526576583,
117.81446294416126,
117.14727583348512,
116.48289277271913,
115.82106995036285,
115.1615710152003,
114.50416716452526,
113.84863721126868,
113.19476763147674,
112.54235259358664,
111.89119397094166,
111.24110133897086,
110.59189195843119,
109.94339074607481,
109.29543023412303,
108.6478505200803,
108.00049920851852,
107.35323134550275,
106.70590934324042,
106.05840289149276,
105.41058887002424,
104.76235132482333,
104.11358156995426,
103.46417815508285,
102.81404563392034,
102.163091212753,
101.51122527241286,
100.85838525029507,
100.2045823132574,
99.54984896655307,
98.89385525386182,
98.23537200372674,
97.57310175368399,
96.9105942189215,
96.26621468499854,
95.68319181227386,
95.22918366748708,
94.97777920325126
],
"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=2221.9999999990746"
},
"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": [
85.83186570712516,
268.75013562964705
],
"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": "#636efa",
"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": [
260.56825605376457,
260.329708110823,
259.9013624832907,
259.3567072721797,
258.76324976372484,
258.1640185029996,
257.57713011408197,
257.0058380844769,
256.4485023254488,
255.903505991392,
255.37008793254262,
254.84780764195025,
254.33616332140937,
253.83454151443007,
253.34226595346897,
252.8586237581417,
252.3828684062698,
251.91421895486425,
251.45186149441537,
250.99495190522455,
250.54261884018413,
250.09396666284562,
249.64807839111162,
249.20401869748096,
248.7608369680872,
248.3175704048446,
247.87324715591998,
247.42688946274316,
246.9775168126822,
246.52414908641643,
246.06580968893581,
245.60152865317707,
245.13034570548547,
244.6513132823126,
244.16349948781456,
243.66599098230523,
243.1578957918501,
242.63834602965227,
242.1065005202854,
241.56154731826473,
241.00270611291333,
240.42923051197866,
239.8404101969756,
239.23557294378173,
238.61408650257783,
237.9753603318165,
237.3188471815064,
236.6440445217184,
235.95049581284886,
235.2377916148157,
234.5055705330028,
233.753519999417,
232.981376888165,
232.188927965001,
231.37601017133085,
230.54251074368614,
229.688367170297,
228.81356698699446,
227.91814741525712,
227.00219484578417,
226.06584417151967,
225.10927797457578,
224.1327255719963,
223.13646192577147,
222.12080642295234,
221.08612153212192,
220.0328113428555,
218.96131999514463,
217.87213000606792,
216.76576050126232,
215.6427653589864,
214.50373127476544,
213.34927575477147,
212.18004504621575,
210.99671201312083,
209.7999739658897,
208.5905504531051,
207.3691810239712,
206.13662296975446,
204.89364905248894,
203.64104522909062,
202.3796083788674,
201.11014404222817,
199.83346417817867,
198.5503849479492,
197.26172453183273,
195.9683009860185,
194.67093014589395,
193.37042358195177,
192.0675866140888,
190.76321638971353,
189.4581000306978,
188.153012853814,
186.84871666889566,
185.5459581585475,
184.24546734281512,
182.94795613180398,
181.65411696881645,
180.36462156615482,
179.08011973532055,
177.80123831292656,
176.5285801832331,
175.26272339781787,
174.00422039250347,
172.75359730128625,
171.51135336664694,
170.27796044527176,
169.05386260787773,
167.83947583151647,
166.63518778242963,
165.44135768724496,
164.25831629003872,
163.08636589254402,
161.92578047456135,
160.77680589142264,
159.6396601451775,
158.5145337260069,
157.40159002022972,
156.30096578114455,
155.21277165885212,
154.13709278512115,
153.07398940930372,
152.0234975812634,
150.98562987726098,
149.96037616473734,
148.9477044019504,
147.94756146845234,
146.95987402244313,
145.98454938109802,
145.0214764200442,
144.0705264882525,
143.13155433471235,
142.20439904337212,
141.28888497295196,
140.38482269836896,
139.49200995065618,
138.61023255240664,
137.73926534592752,
136.87887311145025,
136.02881147290663,
135.1888277889478,
134.3586620270536,
133.53804761874966,
132.72671229412174,
131.92437889398752,
131.13076615825642,
130.34558948917504,
129.5685616883226,
128.7993936663816,
128.03779512486793,
127.2834752091589,
126.53614313230592,
125.79550876926304,
125.06128322130014,
124.33317935050206,
123.61091228438002,
122.89419989074104,
122.18276322307355,
121.4763269368121,
120.77461967694273,
120.07737443750183,
119.38432889360467,
118.6952257067172,
118.00981280395408,
117.32784363224876,
116.64907738829694,
115.97327922522392,
115.30022043696862,
114.62967862141268,
113.96143782331293,
113.29528865811861,
112.63102841777373,
111.9684611596174,
111.30739777949984,
110.6476560702229,
109.98906076639948,
109.33144357686348,
108.67464320593311,
108.01850536494658,
107.36288277454642,
106.70763515511891,
106.05262920176645,
105.39773855794532,
104.7428438503724,
104.0878328469457,
103.4326004776198,
102.77704765339068,
102.12107796247896,
101.46459823699941,
100.80754247666334,
100.1499185602996,
99.49175589030293,
98.83272162503908,
98.17158395448457,
97.50704305036396,
96.84264655760106,
96.19675800659988,
95.61260463399073,
95.15784342727653,
94.90606261412974
],
"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=2241.9999999990564"
},
"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": [
85.70260742303891,
269.7717112448554
],
"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": "#636efa",
"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": [
261.3275461648117,
261.0859210358498,
260.65143133486595,
260.0975857219698,
259.49192222699793,
258.87751020950907,
258.27251702817676,
257.6802566379007,
257.0991589270505,
256.5276862788802,
255.9651657324642,
255.41125360525967,
254.86555320331377,
254.32756406863916,
253.79673041254281,
253.27246687330737,
252.75416102186156,
252.24117209442431,
251.73283193746445,
251.2284472357666,
250.72730195013665,
250.22865969577873,
249.7317661139246,
249.2358512899357,
248.74013222244298,
248.2438153301889,
247.74609898415423,
247.2461760555507,
246.74323647116978,
246.23646976746474,
245.72506763461672,
245.2082264418775,
244.6851497356149,
244.15505070165273,
243.6171545836845,
243.0707010497576,
242.5149464990692,
241.94916630159327,
241.3726569633585,
240.78473821052754,
240.18475498578027,
239.5720793508804,
238.94611228970024,
238.30628540639643,
237.65206251386064,
236.98294110801928,
236.2984537240178,
235.5981691707981,
234.88169364106,
234.14867169408777,
233.39878710941602,
232.63176360980717,
231.84736545251067,
231.04539788826963,
230.2257074880344,
229.3881823378289,
228.53275210269632,
227.65938796111905,
226.76810241176844,
225.85894895488332,
224.9320216510078,
223.9874545602316,
223.02542106547187,
222.04613308371097,
221.049840169459,
220.03682851504226,
219.00741985262772,
217.96197026317762,
216.90086889778735,
215.8245366170938,
214.73342455464612,
213.62801261031177,
212.5088078799416,
211.37634302764243,
210.23117460710174,
209.07388133847806,
207.90506234741244,
206.72533537272946,
205.53533494938478,
204.33571057317684,
203.1271248536765,
201.9102516617387,
200.68577427784854,
199.45438354741714,
198.21677604898625,
196.97365228112187,
195.72571487357948,
194.47366682810815,
193.21820979402827,
191.96004238346896,
190.69985853089105,
189.43834590124564,
188.17618435083415,
186.91404444464106,
185.65258603360772,
184.3924568950074,
183.13429143876823,
181.8787094822733,
180.6263150958496,
179.37769552083762,
178.13342016181684,
176.89403965424566,
175.66008500846476,
174.43206683070463,
173.21047462144008,
171.99577615114035,
170.78841691318124,
169.58881965341024,
168.39738397559285,
167.21448602171512,
166.04047822587896,
164.87568914029734,
163.7204233316851,
162.5749613461396,
161.439559740421,
160.31445117737198,
159.19984458305936,
158.09592536308284,
157.00285567536858,
155.92077475665724,
154.84979929980236,
153.79002387891495,
152.74152141932714,
151.70434370929857,
150.67852195035425,
149.6640673431221,
148.66097170553164,
147.6692081202411,
146.6887316081794,
145.71947982511955,
144.7613737782426,
143.81431855970496,
142.8782040942827,
141.95290589824208,
141.0382858466636,
140.13419294653832,
139.24046411305,
138.35692494656055,
137.48339050792438,
136.61966608987086,
135.76554798231246,
134.92082422955733,
134.08527537752994,
133.25867520922955,
132.44079146678504,
131.6313865585934,
130.83021825015868,
130.03704033737728,
129.25160330114358,
128.47365494227708,
127.70294099589665,
126.93920572449045,
126.18219248904964,
125.4316442977509,
124.68730433178528,
123.94891644804055,
123.21622565844909,
122.48897858591369,
121.76692389681992,
121.04981271023426,
120.33739898397384,
119.6294398778139,
118.92569609417525,
118.22593219670416,
117.52991690722192,
116.83742338158123,
116.14822946502082,
115.46211792765834,
114.77887668080562,
114.09829897482823,
113.42018357930537,
112.74433494627431,
112.07056335736847,
111.39868505567432,
110.72852236313604,
110.05990378433455,
109.39266409751848,
108.7266444339481,
108.06169234674297,
107.39766186949424,
106.73441356184561,
106.0718145382316,
105.40973849372818,
104.7480657894549,
104.08668365912085,
103.42548627651402,
102.76437361895886,
102.103248205712,
101.44201570447491,
100.78060889247129,
100.11903440278529,
99.45732040098872,
98.79513284701459,
98.13123879749075,
97.46433737974034,
96.79797530421625,
96.1505152948434,
95.56518392486892,
95.10963767362568,
94.85746442493743
],
"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=2261.999999999038"
},
"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": [
85.60912655049998,
270.57588403924916
],
"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": "#636efa",
"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": [
261.91937685725026,
261.67522942653574,
261.2357033915457,
260.67432392152057,
260.05865373544464,
259.43179497291845,
258.8119557452784,
258.2024985857586,
257.60190961169894,
257.00871488353846,
256.4223123367559,
255.84243614977845,
255.26877417489624,
254.70091688282045,
254.13840547087946,
253.58075727454727,
253.0274679073185,
252.478009609368,
251.93183179185974,
251.38836284928226,
250.84701216798584,
250.3071720636454,
249.76821970196326,
249.22951905760036,
248.69042291769588,
248.15027491845365,
247.60841160420384,
247.06416450135043,
246.51686220051914,
245.96583244009716,
245.41040418420815,
244.8499096881817,
244.28368654467528,
243.71107970372947,
243.13144346017697,
242.54414340198596,
241.9485583133024,
241.34408202616302,
240.73012521507815,
240.10611712893365,
239.47150725492753,
238.8257669095435,
238.16839075186556,
237.4988982148555,
236.81683485054694,
236.12177358545287,
235.41331588283913,
234.6910928088795,
233.9547660000814,
233.20402852974783,
232.43860567162483,
231.6582555592692,
230.8627697400584,
230.0519736231511,
229.2257268210922,
228.3839233851377,
227.52649193475148,
226.65339568209677,
225.76463235270685,
224.86023400387396,
223.94026674263694,
223.00483034558005,
222.0540577829724,
221.0881146500815,
220.10719850878252,
219.11153814285709,
218.10139273063066,
217.0770509388337,
216.0388299417912,
214.98707437024333,
213.92215519428024,
212.8444685450316,
211.75443447989156,
210.65249569617612,
209.5391161982074,
208.41477992289438,
207.27998932893505,
206.13526395479846,
204.98113895065873,
203.818163589446,
202.6468997621531,
201.4679204624908,
200.28180826591867,
199.08915380799766,
197.89055426690868,
196.68661185486553,
195.47793232301743,
194.26512348428966,
193.04879375844865,
191.82955074350437,
190.60799981737586,
189.38474277354936,
188.16037649425158,
186.93549166444458,
185.7106715297265,
184.48649070099273,
183.2635140084769,
182.04229540755307,
180.82337693843772,
179.607287741687,
178.39454313113973,
177.185643725712,
175.98107464120645,
174.78130474305812,
173.58678596070072,
172.39795266400412,
171.2152211020049,
170.03898890392907,
168.86963464229,
167.70751745763604,
166.55297674432072,
165.40633189647738,
164.26788211319644,
163.13790626173017,
162.0166627973872,
160.9043897386257,
159.801304695713,
158.70760495118782,
157.62346759024257,
156.54904967903434,
155.48448848883697,
154.42990176386107,
153.38538803049565,
152.35102694566197,
151.3268796819196,
150.31298934692472,
149.30938143481117,
148.31606430704593,
147.3330297003033,
146.36025325890242,
145.3976950893646,
144.4453003346668,
143.50299976579674,
142.5707103882519,
141.64833606116994,
140.73576812682998,
139.8328860483231,
138.9395580532556,
138.05564178141947,
137.18098493443995,
136.31542592549164,
135.45879452725833,
134.61091251640053,
133.77159431288564,
132.94064761262976,
132.11787401199578,
131.30306962278954,
130.49602567649418,
129.69652911658204,
128.90436317784182,
128.11930795175783,
127.34114093707576,
126.5696375747866,
125.80457176685499,
125.04571637811266,
124.29284372082812,
123.54572602155328,
122.80413586993359,
122.06784664925166,
121.33663294855454,
120.61027095629107,
119.88853883545974,
119.17121708033596,
118.4580888549143,
117.748940313262,
117.04356090203872,
116.34174364549038,
115.64328541327474,
114.94798717152176,
114.25565421757273,
113.5660963988794,
112.87912831657783,
112.19456951428133,
111.51224465265949,
110.83198367038077,
110.15362193200102,
109.47700036343917,
108.80196557587347,
108.128369979029,
107.45607188390785,
106.78493559196406,
106.11483146672045,
105.4456360016,
104.777231946238,
104.10950855270411,
103.44236168128029,
102.77569270067528,
102.10940526151096,
101.44340593613403,
100.7776282110851,
100.11207926281408,
99.44678766157229,
98.7814196583499,
98.1147425099917,
97.44545547362632,
96.77710533711301,
96.12805486492408,
95.54153064701656,
95.08518916605951,
94.83261830371386
],
"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=2281.99999999902"
},
"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": [
85.55002060629516,
271.20197455466894
],
"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": "#636efa",
"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=2301.999999999002"
},
"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": "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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": "#636efa",
"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": [
262.71461387590296,
262.46667664615063,
262.01958310446605,
261.4468825607116,
260.8161738396183,
260.1706070258938,
259.5284498484204,
258.8931359229873,
258.26323366737023,
257.6373623744573,
257.0150238206969,
256.3960662741429,
255.78030153053265,
255.16745342956494,
254.55720550303067,
253.9492258962675,
253.34316898984366,
252.73867320390383,
252.13536097413404,
251.53283997390062,
250.9307045129965,
250.32853684804428,
249.72590846125485,
249.12238136496407,
248.5175094407794,
247.91083980431614,
247.30191418744968,
246.6902703330209,
246.0754433978319,
245.45696735963332,
244.83437642363248,
244.20720642403268,
243.57499621617063,
242.93728905488587,
242.29363395483415,
241.64358702854386,
240.98671279811705,
240.32258547659475,
239.65079021513662,
238.97092431230814,
238.2825983819251,
237.58543747607195,
236.8790821600883,
236.16318953650656,
235.43743421511996,
234.70150922656623,
233.95512687702495,
233.1980195418462,
232.42994039615314,
231.65066408069106,
230.85998730143012,
230.05772936166397,
229.24373262558694,
228.41786291257077,
227.58000982160257,
226.7300869855838,
225.86803225542795,
224.99380781412856,
224.1074002212006,
223.20882038812513,
222.29810348564766,
221.37530878399758,
220.4405194273039,
219.49384214368416,
218.53540689267692,
217.56536645187282,
216.5838959447742,
215.5911923120792,
214.5874737287403,
213.57297896929362,
212.54796672408577,
211.51271486914868,
210.46751969258196,
209.41269508039963,
208.3485716648845,
207.27549593856588,
206.1938293369976,
205.1039472935615,
204.00623826955743,
202.90110276286455,
201.78895229847032,
200.6702084041628,
199.54530157466954,
198.41467022750325,
197.2787596537384,
196.13802096689815,
194.992910053074,
193.84388652533528,
192.69141268540892,
191.53595249552606,
190.3779705632384,
189.2179311419059,
188.05629714944948,
186.89352920784646,
185.7300847057248,
184.56641688628596,
183.40297396265294,
182.24019826260457,
181.07852540451654,
179.91838350618664,
178.7601924280763,
177.60436305235262,
176.45129659896753,
175.3013839798602,
174.15500519222147,
173.01252875160915,
171.87431116555683,
170.7406964481724,
169.61201567608035,
168.48858658591993,
167.37071321347565,
166.2586855743809,
165.15277938620798,
164.05325583163108,
162.96036136222932,
161.87432754238145,
160.7953709325946,
159.7236930115046,
158.6594801356883,
157.60290353633616,
156.55411935174718,
155.5132686945303,
154.48047775232263,
153.45585792076992,
152.43950596745452,
151.43150422540464,
150.43192081477125,
149.44080989122122,
148.45821191956156,
147.48415397108346,
146.51865004309542,
145.56170139909997,
144.61329692806208,
143.67341352121372,
142.74201646484468,
141.81905984753718,
140.90448698031713,
139.99823082821385,
139.10021445174394,
138.2103514568631,
137.32854645196284,
136.4546955105241,
135.58868663808065,
134.73040024218773,
133.87970960413716,
133.03648135120898,
132.20057592830065,
131.37184806782773,
130.55014725684418,
129.7353182003876,
128.9272012801109,
128.12563300732089,
127.33044646960225,
126.54147177026555,
125.75853645991553,
124.98146595949682,
124.21008397423077,
123.44421289791694,
122.68367420712819,
121.92828884488564,
121.17787759345376,
120.43226143594926,
119.69126190650972,
118.95470142881729,
118.22240364282096,
117.49419371954755,
116.76989866393482,
116.04934760566228,
115.33237207799438,
114.61880628468809,
113.908487355051,
113.20125558726922,
112.49695468015442,
111.7954319534843,
111.09653855712429,
110.40012966912894,
109.70606468308506,
109.01420738515914,
108.32442612145655,
107.63659395538949,
106.9505888117124,
106.26629360288831,
105.5835963512375,
104.90239036882542,
104.22257455622218,
103.54405355949703,
102.86673672005875,
102.19053489592261,
101.515361147217,
100.8411547720362,
100.16792812301844,
99.49571434938476,
98.82418371912831,
98.15210697632406,
97.47818636454697,
96.80597118297129,
96.15382625445498,
95.56497979306354,
95.10708948631796,
94.85374401279752
],
"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=2321.9999999989836"
},
"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": [
85.52814013151388,
272.0402177571866
],
"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": "#636efa",
"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": [
262.9617730811318,
262.7124157107645,
262.262486305492,
261.6855429956475,
261.0491977996894,
260.39661832509125,
259.7460940938404,
259.10108471221173,
258.46018869890213,
257.82205945755186,
257.186236771305,
256.552610684112,
255.92103839768222,
255.2912926367754,
254.66310913504572,
254.03621138351608,
253.4103120692298,
252.78511068719163,
252.16029331526738,
251.53553362733962,
250.91049407592214,
250.28482698007653,
249.65817557614417,
249.030175089548,
248.40045383734233,
247.76863435334678,
247.1343345286557,
246.49716876332684,
245.8567491259558,
245.2126865177016,
244.56459183715148,
243.91207714238368,
243.25475680662964,
242.5922486639889,
241.9241751417065,
241.25016437558858,
240.56985130520752,
239.88287874563832,
239.188898432566,
238.48757203771424,
237.77857215166532,
237.06158323126942,
236.33630250897968,
235.6024408615947,
234.85972363604333,
234.1078914300071,
233.3467008253413,
232.5759250724281,
231.795354723772,
231.00479821532747,
230.20408239423548,
229.3930529918293,
228.57157504096241,
227.73953323689872,
226.8968322411981,
226.04339692822015,
225.1791725740583,
224.30412498790608,
223.41824058604126,
222.5215264087986,
221.61401008107984,
220.69573971712552,
219.76678377044328,
218.82723082995292,
217.87718936356669,
216.91678741057675,
215.94617222436767,
214.96550986710918,
213.97498475821666,
212.9747991784879,
211.96517273194027,
210.94634176747613,
209.91855876260234,
208.88209167151544,
207.8372232399427,
206.78425028919676,
205.72348297196072,
204.6552440023687,
203.57986786298673,
202.49769999132735,
201.40909594855262,
200.3144205730286,
199.21404712139747,
198.10835639982318,
196.99773588805098,
195.882578858894,
194.76328349572643,
193.64025201051945,
192.51388976490603,
191.3846043967028,
190.25280495425147,
189.11890104087084,
187.98330197163227,
186.84641594458688,
185.70864922848384,
184.57040536892399,
183.43208441479422,
182.29408216672513,
181.15678944920722,
180.02059140789183,
178.8858668334899,
177.75298751356794,
176.62231761342386,
175.49421308710853,
174.36902111954043,
173.2470796005434,
172.12871663151873,
171.01425006534615,
169.9039870799916,
168.79822378618573,
167.69724486942297,
166.6013232664221,
165.51071987607978,
164.4256833048444,
163.3464496463356,
162.2732422949365,
161.20627179299152,
160.14573571115162,
159.09181856132406,
158.0446917416004,
157.00451351246102,
155.9714290034815,
154.94557024969856,
153.92705625673233,
152.91599309370244,
151.9124740129258,
150.91657959533487,
149.928377920515,
148.94792476022198,
147.97526379421015,
147.01042684717456,
146.0534341455896,
145.1042945932102,
144.16300606398968,
143.22955571116162,
142.30392029123058,
141.38606650161898,
140.47595133072244,
139.57352241913725,
138.6787184308372,
137.79146943309468,
136.911697283962,
136.03931602615376,
135.1742322861977,
134.31634567775234,
133.4655492080221,
132.62172968623554,
131.7847681331898,
130.9545401909032,
130.13091653145872,
129.31376326416265,
128.50294234018682,
127.69831195390645,
126.8997269401905,
126.10703916694715,
125.32009792227315,
124.53875029560076,
123.76284155228286,
122.99221550110155,
122.2267148542314,
121.46618157923247,
120.71045724269213,
119.95938334517784,
119.21280164720423,
118.47055448595869,
117.73248508256911,
116.99843783973459,
116.2682586295766,
115.54179507160262,
114.81889680070695,
114.09941572516433,
113.38320627460246,
112.67012563796702,
111.96003399151643,
111.25279471689596,
110.54827460935124,
109.84634407620476,
109.14687732592049,
108.4497525482275,
107.75485208486528,
107.0620625874767,
106.37127515818273,
105.68238548616351,
104.9952940420797,
104.30990639134734,
103.62613336551468,
102.94389002624172,
102.26309250035766,
101.58365867870943,
100.90553226481306,
100.22872960359815,
99.5532874348982,
98.87887922629962,
98.2042785402492,
97.52819006634432,
96.85416518532149,
96.20057044399702,
95.61063542857094,
95.15201885154265,
94.89831007283999
],
"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=2341.9999999989654"
},
"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": [
85.56145101682378,
272.29863213714805
],
"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": "#636efa",
"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": [
263.1311383515709,
262.8806012283082,
262.42831593814964,
261.847847841386,
261.20681977182676,
260.5484137023092,
259.8909370232249,
259.23787065390206,
258.5878378011428,
257.93951985119844,
257.29248777312637,
256.64666589856773,
256.0019487072227,
255.35814907111947,
254.71504561033024,
254.0724073026858,
253.42999477553766,
252.78755776321233,
252.14483472038464,
251.50155366724874,
250.85743319829413,
250.21218339115165,
249.56550667366312,
248.9170987080821,
248.2666493027498,
247.61384334375632,
246.95836174005902,
246.29988237854673,
245.63808108644076,
244.97263259828227,
244.3032115245728,
243.62949331909937,
242.9511552420081,
242.2678773157302,
241.5793432709067,
240.88524147950582,
240.18526587238617,
239.47911683862384,
238.76650210400044,
238.04713758613053,
237.32074822380133,
236.5870687781961,
235.84584460377965,
235.09683238673824,
234.33980084898542,
233.57453141587098,
232.8008188458608,
232.0184718205902,
231.22731349383395,
230.4271819980774,
229.61793090752113,
228.7994296564985,
227.9715639124371,
227.13423590264654,
226.2873646943674,
225.43088642766944,
224.56475450093984,
223.68893970885364,
222.80343033286877,
221.90823218443703,
221.00336860126768,
220.0888803971237,
219.1648257657701,
218.23128013982947,
217.28833600543143,
216.3361026736692,
215.37470600999774,
214.4042881228245,
213.42500701265357,
212.4370361832481,
211.4405642163735,
210.43579431177525,
209.4229437941281,
208.40224358877146,
207.37393766811505,
206.3382824706602,
205.29554629463843,
204.24600866831483,
203.18995969904373,
202.12769940319566,
201.05953701909965,
199.98579030516032,
198.9067848253196,
197.8228532240338,
196.73433449293174,
195.64157323130715,
194.5449189025784,
193.4447250888234,
192.34134874546407,
191.23514945813585,
190.1264887037336,
189.0157291175735,
187.90323376855585,
186.7893654441516,
185.6744859469701,
184.5589554045958,
183.4431315943067,
182.32736928420985,
181.2120195922481,
180.0974293644482,
178.9839405736928,
177.8718897402114,
176.76160737489332,
175.65341744643393,
174.5476368732325,
173.44457504086526,
172.34453334586325,
171.24780476643076,
170.15467346064443,
169.0654143925816,
167.9802929867325,
166.89956481096098,
165.82347528818755,
164.75225943688238,
163.68614164036876,
162.6253354448556,
161.5700433860361,
160.52045684401256,
159.4767559262322,
158.43910937804745,
157.4076745204463,
156.38259721443328,
155.36401185148105,
154.35204136941502,
153.34679729304068,
152.34837979877318,
151.35687780248378,
150.37236906973624,
149.39492034754878,
148.42458751678402,
147.46141576423994,
146.50543977348957,
145.556683933496,
144.61516256401157,
143.68088015675684,
142.7538316313647,
141.83400260506926,
140.92136967511593,
140.01590071287055,
139.11755516860902,
138.22628438597604,
137.34203192511248,
136.46473389346306,
135.59431928329263,
134.73071031495766,
133.87382278499922,
133.0235664181483,
132.1798452223581,
131.34255784600492,
130.5115979364281,
129.6868544990091,
128.8682122560211,
128.0555520045135,
127.24875097252739,
126.44768317297492,
125.6522197545473,
124.86222934905366,
124.07757841462734,
123.29813157427188,
122.52375194925528,
121.75430148689551,
120.98964128231634,
120.22963189378643,
119.47413365128953,
118.72300695800627,
117.97611258442105,
117.23331195479942,
116.49446742581158,
115.75944255710739,
115.02810237367672,
114.3003136198562,
113.57594500486967,
112.85486743981518,
112.13695426603225,
111.42208147479381,
110.71012791827633,
110.00097551182455,
109.29450942772813,
108.5906182808739,
107.88919430572938,
107.190133521078,
106.49333587793568,
105.79870540387121,
105.10615040546418,
104.41558378981642,
103.72692324427109,
103.04009020874918,
102.35500671909128,
101.67159611403487,
100.98980709175947,
100.30966054621572,
99.63119732782167,
98.95409458307402,
98.27712912791527,
97.59900848572643,
96.92328645641308,
96.26833159579547,
95.6773750926771,
95.21807685880934,
94.96402705232914
],
"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=2361.9999999989473"
},
"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": [
85.62140975792683,
272.4737556459732
],
"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": "#636efa",
"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": [
263.23580495492416,
262.9842855611473,
262.53003871177657,
261.9466357212014,
261.3017083305799,
260.6384503448844,
259.9751838736342,
259.31540739529123,
258.6577644597842,
258.0009595156437,
257.3445892399257,
256.68860623622237,
256.03293573032835,
255.37742371697868,
254.7218842106582,
254.06612374340386,
253.40994253804737,
252.7531318409595,
252.09547340496258,
251.43674019874888,
250.77669727508712,
250.11510253477394,
249.45170744498876,
248.7862577714755,
248.118494335422,
247.44815378808013,
246.77496939713797,
246.09867184187524,
245.41899001503654,
244.73565182921573,
244.04838502535793,
243.3569179809471,
242.66098051547098,
241.9603046907885,
241.254625604054,
240.54368217089097,
239.82721789654875,
239.104981632829,
238.376728318626,
237.64221970198975,
236.90122504169298,
236.15352178636007,
235.39889622929962,
234.63714413727092,
233.86807135150917,
233.09149435943223,
232.3072408355552,
231.51515015024637,
230.71507384506776,
229.9068760735587,
229.09043400643495,
228.26563820029742,
227.432392929062,
226.59061647744608,
225.74024139596898,
224.88121471704665,
224.0134981318851,
223.13706812799865,
222.25191608730265,
221.35804834484952,
220.45548620839747,
219.54426593911776,
218.624438693861,
217.69607042951557,
216.7592417700989,
215.81404783732876,
214.86059804552264,
213.89901586177007,
212.92943853241712,
211.95201677698893,
210.9669144507607,
209.97430817726533,
208.9743869520985,
207.9673517194501,
206.953414922852,
205.93280003168866,
204.9057410450667,
203.8724819746842,
202.8332763083781,
201.78838645606032,
200.73808317978003,
199.68264500966768,
198.62235764753243,
197.557513359891,
196.4884103622095,
195.41535219613442,
194.3386471014822,
193.2586073847391,
192.17554878580572,
191.0897898446933,
190.00165126984956,
188.91145530975643,
187.8195251294029,
186.72618419319159,
185.63175565579004,
184.53656176238604,
183.44092325975015,
182.34515881945106,
181.24958447450626,
180.15451307068736,
179.06025373363147,
177.9671113528419,
176.87538608358938,
175.78537286765365,
174.69736097377066,
173.61163355857622,
172.52846724876122,
171.44813174507777,
170.3708894487592,
169.2969951108415,
168.2266955047973,
167.16022912281952,
166.09782589601642,
165.0397069387083,
163.9860843169431,
162.93716084127905,
161.89312988381315,
160.8541752193688,
159.82047089069118,
158.79218109743653,
157.7694601086826,
156.7524521986303,
155.7412916051116,
154.73610251046827,
153.7369990443164,
152.74408530766695,
151.75745541782868,
150.77719357348164,
149.8033741392724,
148.8360617492484,
147.8753114284202,
146.92116873171202,
145.97366989953832,
145.0328420292234,
144.09870326146304,
143.17126298101377,
142.2505220307833,
141.33647293848725,
140.42910015503261,
139.5283803037843,
138.6342824398724,
137.74676831869945,
136.86579267281218,
135.99130349631022,
135.12324233597292,
134.26154458829788,
133.40613980165878,
132.55695198280497,
131.71389990694328,
130.87689743066156,
130.0458538069737,
129.22067400178747,
128.40125901112046,
127.58750617841197,
126.77930951130541,
125.9765599972997,
125.17914591769626,
124.38695315929358,
123.5998655233099,
122.81776503104088,
122.0405322257879,
121.2680464706195,
120.50018624155624,
119.736829415797,
118.97785355463115,
118.22313618070807,
117.47255504936153,
116.72598841371196,
115.98331528329419,
115.24441567598267,
114.5091708630093,
113.77746360689183,
113.04917839211346,
112.32420164841211,
111.60242196654708,
110.88373030641702,
110.16802019746626,
109.45518793151477,
108.74513274829461,
108.03775701306607,
107.33296638265298,
106.63066995524578,
105.93078041711492,
105.23321424789026,
104.53789204524546,
103.84473870806686,
103.15368241244454,
102.46465145880386,
101.77757498274059,
101.09240701542922,
100.40917332376011,
99.72791917473258,
99.04832567859937,
98.36917316555517,
97.68917222679507,
97.01187928637094,
96.35566508302195,
95.7637625493232,
95.30383290334515,
95.0494671733801
],
"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=2381.999999998929"
},
"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": [
85.70578174107209,
272.57949038723217
],
"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": "#636efa",
"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=2401.999999998911"
},
"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": "#636efa",
"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": [
263.2923044161089,
263.0392815150293,
262.58203216602595,
261.99413669945756,
261.34324034554265,
260.6725548296679,
260.0004245576965,
259.33037461144164,
258.661079369011,
257.99127823678594,
257.3206068715418,
256.6490607583781,
255.97661177444087,
255.3031561923045,
254.628561776505,
253.95269211667429,
253.27540762628414,
252.59656269165657,
251.91600496253187,
251.23357586118414,
250.54911124304465,
249.86244194649035,
249.1733942911761,
248.48179058507253,
247.7874496518319,
247.0901873722903,
246.38981723488968,
245.68615089283023,
244.97899872667065,
244.26817041095123,
243.55347548322712,
242.83472391385385,
242.11172667488387,
241.38429630645385,
240.6522474790603,
239.91539755014023,
239.17356711339858,
238.4265805393538,
237.67426650560796,
236.9164585153865,
236.15299540293657,
235.38372182442055,
234.60848873299227,
233.82715383679914,
233.03958203871244,
232.24564585664933,
231.44522582341614,
230.6382108650699,
229.82449865686596,
229.00399595593203,
228.17661890988455,
227.34229334067928,
226.50095500306674,
225.65254981710225,
224.79703407424114,
223.93437461662995,
223.0645489892873,
222.18754556494807,
221.30336364142758,
220.41201351144232,
219.51351650490471,
218.60790500378914,
217.69522242974378,
216.77552320470056,
215.84887268481037,
214.91534706810344,
213.97503327634684,
213.02802881163916,
212.07444158834892,
211.11438974106684,
210.1480014093031,
209.17541449971748,
208.19677642672613,
207.21224383237825,
206.2219822864453,
205.22616596770797,
204.22497732746794,
203.21860673634714,
202.20725211547156,
201.1911185531639,
200.17041790829714,
199.14536840148014,
198.11619419526536,
197.0831249645823,
196.04639545860942,
195.00624505530365,
193.96291730980923,
192.91665949796496,
191.8677221561249,
190.81635861849804,
189.76282455320066,
188.707377498199,
187.65027639830217,
186.59178114434127,
185.5321521156481,
184.47164972691712,
183.41053398050488,
182.34906402518757,
181.2874977223623,
180.22609122063983,
179.16509853973648,
178.10477116453197,
177.04535765011633,
175.98710323860388,
174.93024948844683,
173.87503391693295,
172.82168965650422,
171.7704451254834,
170.72152371374682,
169.6751434838301,
168.63151688790458,
167.59085050101027,
166.55334477088178,
165.5191937846527,
164.4885850526739,
163.46169930963282,
162.4387103331107,
161.4197847796683,
160.40508203850243,
159.3947541026706,
158.38894545783623,
157.3877929884436,
156.3914259011892,
155.39996566561652,
154.41352597162236,
153.43221270362451,
152.45612393110721,
151.48534991522467,
150.51997313111386,
149.56006830553534,
148.60570246943513,
147.6569350249931,
146.7138178267004,
145.77639527598572,
144.84470442889128,
143.9187751162798,
142.99863007603986,
142.08428509674127,
141.17574917218118,
140.2730246662509,
139.37610748754594,
138.48498727313435,
137.59964758089538,
136.72006608983605,
135.84621480779364,
134.97806028593138,
134.11556383943756,
133.2586817738417,
132.40736561636595,
131.5615623517374,
130.72121466189267,
129.88626116901762,
129.05663668137237,
128.23227244136456,
127.41309637534518,
126.59903334461339,
125.79000539713168,
124.98593201946575,
124.18673038847894,
123.39231562232634,
122.60260103030953,
121.8174983611691,
121.03691804940848,
120.26076945925975,
119.48896112591824,
118.7214009936904,
117.95799665071583,
117.19865555994156,
116.44328528604288,
115.69179371800244,
114.94408928707446,
114.20008117987885,
113.45967954638563,
112.72279570256372,
111.98934232747216,
111.25923365457523,
110.53238565712131,
109.8087162276226,
109.08814535161689,
108.37059527498282,
107.65599066104446,
106.94425873271062,
106.23532941268863,
105.52913552332575,
104.82561310681704,
104.12470160476042,
103.42634283130039,
102.73047781808586,
102.0370475235154,
101.3460168920539,
100.65742169369479,
99.97131628801819,
99.28738996726909,
98.6044303331817,
97.92115433831545,
97.2411238582764,
96.58271417395167,
95.9891618510595,
95.52813083217218,
95.27321396174013
],
"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=2421.9999999988927"
},
"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": [
85.93882004760853,
272.6266983302405
],
"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": "#636efa",
"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": [
263.26045867016677,
263.0068639615362,
262.54847270551755,
261.95886864352286,
261.305702109569,
260.6321916102944,
259.9566899899594,
259.28273240066073,
258.60900489255096,
257.9342601109265,
257.25814847880616,
256.58068173079994,
255.90184942839687,
255.22156691069884,
254.53972233426603,
253.85620094571078,
253.17088601624755,
252.48365592306683,
251.79438336904528,
251.10293581801417,
250.40917607878734,
249.7129627758547,
249.01415076637676,
248.31259156390522,
247.6081337807203,
246.90062358286627,
246.1899051529456,
245.47582115876125,
244.75821322680542,
244.0369224194515,
243.31178971451723,
242.58265648582085,
241.84936498336654,
241.11175881181268,
240.36968340589,
239.62298650145138,
238.87151860085305,
238.11513343139003,
237.35368839553638,
236.5870450117701,
235.81506934479773,
235.03763242403068,
234.25461064920597,
233.46588618208858,
232.6713473232387,
231.87088887287712,
231.06441247493433,
230.2518269434229,
229.43304857033058,
228.60800141428854,
227.77661756933165,
226.9388374131286,
226.09460983412322,
225.2438924370935,
224.38665172669965,
223.5228632686594,
222.65251182825463,
221.77559148594148,
220.89210572990143,
220.00206752543926,
219.10549936119907,
218.20243327223582,
217.2929108400446,
216.3769831697135,
215.45471084442943,
214.52616385762684,
213.5914215231293,
212.6505723636918,
211.70371397840802,
210.75095288950055,
209.79240436906358,
208.82819224637788,
207.8584486964638,
206.88331401058323,
205.9029363494427,
204.91747147988877,
203.9270824959227,
202.93193952489491,
201.93221941976938,
200.92810543837462,
199.91978691058316,
198.90745889438057,
197.89132182180379,
196.87158113574233,
195.84844691860746,
194.82213351388287,
193.79285914157475,
192.76084550858172,
191.72631741500408,
190.68950235740726,
189.6506301300484,
188.6099324250643,
187.56764243260739,
186.5239944419006,
185.479223444165,
184.43356473835362,
183.38725354060227,
182.3405245982844,
181.29361180952895,
180.24674784903308,
179.20016380096965,
178.154088799758,
177.10874967943272,
176.06437063230916,
175.02117287760908,
173.97937434067097,
172.93918934333206,
171.90082830602856,
170.86449746212094,
169.83039858491065,
168.79872872777236,
167.7696799777855,
166.74343922320665,
165.72018793508215,
164.70010196326024,
163.6833513470188,
162.67010014048535,
161.6605062529848,
160.6547213044102,
159.65289049567372,
158.65515249425508,
157.6616393348286,
156.6724763349129,
155.6877820254515,
154.70766809619937,
153.7322393557559,
152.76159370605504,
151.79582213109066,
150.8350086996284,
149.87923058162608,
148.92855807806,
147.983054663829,
147.04277704338566,
146.1077752187233,
145.17809256932634,
144.25376594367472,
143.33482576187615,
142.42129612898452,
141.51319495855086,
140.6105341059396,
139.7133195109349,
138.82155134915135,
137.93522419175733,
137.05432717301363,
136.17884416512516,
135.30875395990154,
134.44403045672072,
133.58464285628918,
132.73055585969453,
131.88172987224738,
131.03812121161425,
130.1996823197463,
129.36636197811623,
128.5381055257802,
127.71485507979088,
126.89654975749522,
126.08312590025945,
125.27451729817449,
124.47065541530448,
123.67146961505289,
122.87688738523174,
122.08683456243196,
121.30123555530467,
120.52001356637662,
119.74309081203548,
118.97038874033396,
118.20182824627554,
117.43732988425728,
116.67681407735951,
115.92020132318481,
115.167412395963,
114.41836854465215,
113.67299168678032,
112.93120459778311,
112.19293109559483,
111.45809622025187,
110.7266264083244,
109.99844966218778,
109.27349571428842,
108.55169618564764,
107.83298473481122,
107.11729719246108,
106.40457169469941,
105.69474887652935,
104.98777218624153,
104.2835880596583,
103.58214488844868,
102.88338986071146,
102.18726966627278,
101.49375455245634,
100.80288516037506,
100.11472028617159,
99.42895322160912,
98.74437512871837,
98.05970607924752,
97.37851062527145,
96.71916628007313,
96.12491139658648,
95.66341125854707,
95.40825960486974
],
"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=2441.9999999988745"
},
"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": [
86.08313743457546,
272.58558084046103
],
"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": "#636efa",
"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": [
263.1971906545338,
262.9431180268282,
262.48377236196615,
261.8927402557712,
261.23767631338535,
260.5618047167346,
259.8834853728563,
259.2062618633752,
258.5288300099853,
257.8499535428819,
257.16929525085743,
256.4868804789681,
255.8027136040152,
255.11672594199771,
254.4288227413413,
253.73890740569064,
253.04688237563252,
252.35264615438768,
251.65609246916154,
250.95711064556298,
250.25558612848548,
249.55140088755843,
248.8444337670105,
248.1345608405822,
247.4216557835956,
246.7055902564836,
245.98623429506165,
245.26345670585965,
244.53712546573777,
243.80710812487294,
243.07327221201126,
242.33548564083597,
241.59361711631297,
240.84753653989057,
240.09711541244133,
239.34222723384354,
238.58274789811415,
237.8185560830227,
237.04953363313706,
236.27556593527447,
235.49654228536073,
234.7123562457272,
233.92290599190974,
233.1280946480483,
232.32783061002223,
231.52202785549812,
230.71060624010693,
229.89349177901295,
229.0706169131813,
228.24192075970015,
227.4073493455608,
226.56685582435136,
225.7204006753702,
224.86795188471802,
224.00948510798202,
223.14498381417857,
222.2744394106769,
221.39785134888015,
220.51522721049602,
219.62658277428466,
218.73194206322577,
217.8313373721019,
216.92480927554885,
216.01240661667774,
215.09418647642505,
214.17021412383957,
213.24056294756383,
212.3053143688186,
211.36455773624456,
210.41839020300245,
209.46691658657713,
208.51024921177253,
207.5485077374261,
206.58181896740857,
205.61031664651264,
204.63414124186667,
203.65343971054247,
202.66836525405535,
201.67907706048155,
200.68574003494274,
199.68852451922984,
198.68760600135724,
197.6831648158563,
196.67538583563086,
195.6644581562098,
194.65057477324055,
193.63393225407523,
192.61473040430369,
191.5931719300914,
190.56946209717785,
189.54380838738908,
188.5164201535117,
187.48750827336846,
186.4572848039254,
185.42596263624807,
184.39375515211023,
183.36087588304204,
182.32753817258703,
181.29395484251597,
180.2603378637253,
179.2268980325233,
178.19384465298307,
177.1613852260142,
176.12972514577817,
175.09906740404287,
174.0696123030426,
173.0415571773777,
172.0150961254578,
170.99041975095824,
169.96771491472808,
168.94716449755285,
167.92894717414163,
166.91323719867424,
165.90020420220904,
164.8900130022172,
163.88282342447565,
162.87879013751532,
161.87806249978786,
160.88078441967969,
159.88709422846935,
158.89712456629044,
157.91100228113078,
156.92884834086635,
155.95077775829796,
154.97689952912825,
154.00731658278772,
153.04212574599015,
152.08141771887045,
151.12527706353222,
150.17378220480654,
149.2270054430009,
148.28501297839276,
147.3478649472025,
146.41561546875909,
145.48831270355333,
144.5659989218559,
143.64871058256088,
142.7364784219004,
141.82932755166223,
140.92727756653008,
140.03034266015433,
139.13853174955173,
138.25184860742405,
137.3702920019774,
136.49385584381866,
135.62252933950046,
134.75629715128122,
133.89513956266583,
133.03903264928923,
132.1879484547063,
131.34185517065023,
130.5007173213248,
129.66449595129689,
128.83314881655986,
128.00663057834208,
127.18489299924033,
126.3678851412624,
125.55555356537137,
124.7478425321291,
123.9446942030457,
123.14604884224892,
122.35184501809645,
121.56201980436339,
120.77650898064604,
119.9952472316339,
119.21816834491091,
118.44520540695841,
117.67629099704209,
116.91135737867629,
116.15033668837003,
115.39316112136987,
114.63976311412672,
113.89007552322539,
113.1440318005247,
112.40156616425641,
111.66261376583059,
110.92711085215092,
110.1949949234375,
109.46620488669657,
108.7406812040648,
108.01836603221864,
107.29920334804784,
106.58313907358495,
105.87012126169662,
105.16010040322725,
104.45302959452802,
103.74886349956594,
103.04755518479166,
102.34905681919483,
101.65334372528739,
100.96046121104727,
100.2704723272337,
99.58307420446057,
98.89706142472005,
98.21115705808987,
97.52892823096934,
96.86875460494639,
96.27387625357586,
95.81195975220785,
95.55659970137911
],
"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=2461.9999999988563"
},
"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": [
86.24323353731496,
272.51055681859793
],
"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": "#636efa",
"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": [
263.1076652307294,
262.8531933759522,
262.39305045693277,
261.8008254660019,
261.14417659441165,
260.4663327894508,
259.78565988902363,
259.1057085540224,
258.42518281340386,
257.7428557089805,
257.05840041871477,
256.3718537245067,
255.68323245481542,
254.99248135637288,
254.2995200489095,
253.60426720679854,
252.9066413971168,
252.20655805929624,
251.50392861820137,
250.79866080819176,
250.09065914172186,
249.3798252607479,
248.66605823095188,
247.94925483959153,
247.22930990926096,
246.50611662204233,
245.7795668495152,
245.04955148712315,
244.31596079230883,
243.57868472568825,
242.83761329434762,
242.09263689629702,
241.34364666512775,
240.5905348139335,
239.83319497756318,
239.07152255228132,
238.30541503192154,
237.53477233963338,
236.7594971543386,
235.97949523103145,
235.1946757140799,
234.40495144270722,
233.61023924786016,
232.81046023969705,
232.0055400849604,
231.19540927352952,
230.38000337348362,
229.55926327404038,
228.7331354157735,
227.9015720075499,
227.0645312296693,
226.2219774227276,
225.37388126177012,
224.5202199153428,
223.66097718909356,
222.7961436536207,
221.9257167563109,
221.04970091695384,
220.16810760696734,
219.2809554121117,
218.38827007861832,
217.49008454270265,
216.58643894347713,
215.67738061932383,
214.76296408783125,
213.8432510094425,
212.9183101350045,
211.9882172374496,
211.05305502788093,
210.11291305637243,
209.16788759783157,
208.2180815233098,
207.26360415718025,
206.30457112063573,
205.3411041619912,
204.37333097430553,
203.40138500086417,
202.425405229092,
201.44553597348852,
200.46192664820035,
199.47473152986655,
198.4841095113894,
197.49022384730094,
196.4932418914077,
195.49333482740988,
194.49067739319943,
193.48544759955016,
192.47782644391853,
191.46799762007666,
190.45614722430147,
189.44246345884287,
188.4271363333912,
187.41035736526044,
186.39231927899633,
185.37321570611127,
184.35324088563738,
183.3325893661775,
182.31145571012055,
181.29003420067292,
180.26851855234045,
179.24710162547885,
178.22597514550944,
177.20532942737856,
176.1853531058152,
175.16623287192047,
174.14815321659708,
173.1312961813035,
172.11584111659104,
171.10196444885622,
170.08983945571342,
169.0796360503658,
168.07152057532394,
167.06565560579392,
166.0621997630268,
165.0613075378944,
164.06312912492535,
163.06781026700824,
162.0754921109382,
161.08631107395613,
160.10039872139973,
159.11788165555853,
158.13888141579665,
157.16351438997955,
156.19189173721517,
155.22411932189172,
154.26029765897104,
153.30052187046928,
152.34488165303446,
151.39346125650508,
150.44633947331337,
149.50358963857335,
148.5652796406742,
147.63147194217916,
146.70222361081153,
145.7775863602909,
144.8576066007671,
143.94232549858182,
143.0317790450752,
142.12599813413888,
141.22500864820577,
140.32883155235476,
139.43748299619782,
138.5509744232081,
137.66931268713853,
136.79250017517307,
135.92053493744734,
135.05341082256825,
134.19111761875982,
133.3336412002569,
132.4809636785679,
131.63306355822448,
130.78991589663616,
129.95149246766772,
129.11776192855828,
128.28868998980218,
127.46423958761467,
126.64437105860843,
125.82904231631011,
125.01820902915146,
124.21182479957369,
123.40984134388981,
122.61220867255527,
121.81887527050426,
121.02978827721539,
120.24489366617817,
119.46413642343936,
118.68746072491597,
117.9148101121706,
117.14612766635251,
116.38135618001715,
115.6204383265457,
114.86331682689568,
114.10993461342422,
113.3602349905321,
112.61416179187623,
111.87165953389531,
111.13267356544877,
110.39715021356103,
109.66503692540458,
108.93628240574199,
108.21083674600946,
107.48865154023197,
106.76968000075232,
106.05387713527003,
105.34120004587008,
104.63160808896416,
103.92506183032778,
103.22151987340187,
102.52093955327653,
101.82330098208676,
101.1286538758428,
100.43706530709612,
99.74823603781856,
99.06096388717758,
98.37397476493346,
97.69083823679578,
97.02993600083488,
96.43450976222304,
95.97222732143901,
95.716684096445
],
"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=2481.999999998838"
},
"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": [
86.4171851445403,
272.4071641826341
],
"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": "#636efa",
"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=2501.99999999882"
},
"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, species_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, species_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%20 == 0): # Display every so often \n",
" bio.visualize_system()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "2f10d42f-5f6e-487c-b905-9718058852eb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(262.99621803202314, 95.88704136179823)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(bio.bin_concentration(bin_address=0, species_name=\"A\") ,\n",
" bio.bin_concentration(bin_address=rightmost_bin, species_name=\"A\"))"
]
},
{
"cell_type": "markdown",
"id": "bc793967-3421-45ce-afce-d6aec1259d10",
"metadata": {},
"source": [
"### The one-time pulse injected into the system, gradually \"melted into\" the 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": "5a0abd3f-24d7-4be0-a71f-dac5335828df",
"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": "3.8.10"
},
"toc-autonumbering": false,
"toc-showcode": true,
"toc-showmarkdowntxt": false
},
"nbformat": 4,
"nbformat_minor": 5
}