{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "expmkveO04pw" }, "source": [ "## Parameter Estimation with SciPy's Differential Evolution Method in PyBOP\n", "\n", "In this notebook, we demonstrate an example of parameter estimation for a single-particle model using the Differential Evolution optimiser. The Differential Evolution (DE) algorithm is a stochastic population-based method that is well-suited for multi-dimensional functions. Unlike gradient-based methods, which require gradient information and can easily become trapped in local minima, DE relies on the concept of evolving a population of candidate solutions, using operations like mutation, crossover, and selection. This approach allows DE to search large areas of the solution space, which makes it highly effective for dealing with complex, nonlinear, and multimodal objective functions. \n", "\n", "### Setting up the Environment\n", "\n", "Before we begin, we need to ensure that we have all the necessary tools. We will install PyBOP from its development branch and upgrade some dependencies:" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "X87NUGPW04py", "outputId": "0d785b07-7cff-4aeb-e60a-4ff5a669afbf" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pip in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (23.3.2)\n", "Requirement already satisfied: ipywidgets in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (8.1.1)\n", "Requirement already satisfied: comm>=0.1.3 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipywidgets) (0.2.0)\n", "Requirement already satisfied: ipython>=6.1.0 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipywidgets) (8.18.1)\n", "Requirement already satisfied: traitlets>=4.3.1 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipywidgets) (5.14.0)\n", "Requirement already satisfied: widgetsnbextension~=4.0.9 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipywidgets) (4.0.9)\n", "Requirement already satisfied: jupyterlab-widgets~=3.0.9 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipywidgets) (3.0.9)\n", "Requirement already satisfied: decorator in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (5.1.1)\n", "Requirement already satisfied: jedi>=0.16 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (0.19.1)\n", "Requirement already satisfied: matplotlib-inline in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (0.1.6)\n", "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (3.0.41)\n", "Requirement already satisfied: pygments>=2.4.0 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (2.17.2)\n", "Requirement already satisfied: stack-data in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (0.6.3)\n", "Requirement already satisfied: pexpect>4.3 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets) (4.9.0)\n", "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets) (0.8.3)\n", "Requirement already satisfied: ptyprocess>=0.5 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\n", "Requirement already satisfied: wcwidth in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets) (0.2.12)\n", "Requirement already satisfied: executing>=1.2.0 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.0.1)\n", "Requirement already satisfied: asttokens>=2.1.0 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.4.1)\n", "Requirement already satisfied: pure-eval in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (0.2.2)\n", "Requirement already satisfied: six>=1.12.0 in /Users/bradyplanden/.pyenv/versions/pybop-env/lib/python3.11/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets) (1.16.0)\n", "Note: you may need to restart the kernel to use updated packages.\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "%pip install --upgrade pip ipywidgets\n", "%pip install pybop -q" ] }, { "cell_type": "markdown", "metadata": { "id": "jAvD5fk104p0" }, "source": [ "### Importing Libraries\n", "\n", "With the environment set up, we can now import PyBOP alongside other libraries we will need:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "SQdt4brD04p1" }, "outputs": [], "source": [ "import pybop\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": { "id": "5XU-dMtU04p2" }, "source": [ "### Generate Synthetic Data\n", "\n", "To demonstrate parameter estimation, we first need some data. We will generate synthetic data using the PyBOP forward model, which requires defining a parameter set and the model itself.\n", "\n", "#### Defining Parameters and Model\n", "\n", "We start by creating an example parameter set and then instantiate the single-particle model (SPM):" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "parameter_set = pybop.ParameterSet.pybamm(\"Chen2020\")\n", "model = pybop.lithium_ion.SPM(parameter_set=parameter_set)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulating Forward Model\n", "\n", "We can then simulate the model using the `predict` method, with a default constant current to generate voltage data." ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "sBasxv8U04p3" }, "outputs": [], "source": [ "t_eval = np.arange(0, 900, 2)\n", "values = model.predict(t_eval=t_eval)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adding Noise to Voltage Data\n", "\n", "To make the parameter estimation more realistic, we add Gaussian noise to the data." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "sigma = 0.001\n", "corrupt_values = values[\"Voltage [V]\"].data + np.random.normal(0, sigma, len(t_eval))" ] }, { "cell_type": "markdown", "metadata": { "id": "X8-tubYY04p_" }, "source": [ "## Identify the Parameters" ] }, { "cell_type": "markdown", "metadata": { "id": "PQqhvSZN04p_" }, "source": [ "We will now set up the parameter estimation process by defining the datasets for optimisation and selecting the model parameters we wish to estimate." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating Optimisation Dataset\n", "\n", "The dataset for optimisation is composed of time, current, and the noisy voltage data:" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "zuvGHWID04p_" }, "outputs": [], "source": [ "dataset = pybop.Dataset(\n", " {\n", " \"Time [s]\": t_eval,\n", " \"Current function [A]\": values[\"Current [A]\"].data,\n", " \"Voltage [V]\": corrupt_values,\n", " }\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "ffS3CF_704qA" }, "source": [ "### Defining Parameters to Estimate\n", "\n", "We select the parameters for estimation and set up their prior distributions and bounds:" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "WPCybXIJ04qA" }, "outputs": [], "source": [ "parameters = [\n", " pybop.Parameter(\n", " \"Negative electrode active material volume fraction\",\n", " prior=pybop.Gaussian(0.6, 0.02),\n", " bounds=[0.5, 0.8],\n", " ),\n", " pybop.Parameter(\n", " \"Positive electrode active material volume fraction\",\n", " prior=pybop.Gaussian(0.48, 0.02),\n", " bounds=[0.4, 0.7],\n", " ),\n", "]" ] }, { "cell_type": "markdown", "metadata": { "id": "n4OHa-aF04qA" }, "source": [ "### Setting up the Optimisation Problem\n", "\n", "With the datasets and parameters defined, we can set up the optimisation problem, its cost function, and the optimiser." ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "id": "etMzRtx404qA" }, "outputs": [], "source": [ "problem = pybop.FittingProblem(model, parameters, dataset)\n", "cost = pybop.SumSquaredError(problem)\n", "optim = pybop.Optimisation(cost, optimiser=pybop.SciPyDifferentialEvolution)\n", "optim.set_max_iterations(400)" ] }, { "cell_type": "markdown", "metadata": { "id": "caprp-bV04qB" }, "source": [ "### Running the Optimisation\n", "\n", "We proceed to run the Differential Evolution optimisation algorithm to estimate the parameters:" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "id": "-9OVt0EQ04qB" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ignoring x0. Initial conditions are not used for differential_evolution.\n" ] } ], "source": [ "x, final_cost = optim.run()" ] }, { "cell_type": "markdown", "metadata": { "id": "-4pZsDmS04qC" }, "source": [ "### Viewing the Estimated Parameters\n", "\n", "After the optimisation, we can examine the estimated parameter values:" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Hgz8SV4i04qC", "outputId": "e1e42ae7-5075-4c47-dd68-1b22ecc170f6" }, "outputs": [ { "data": { "text/plain": [ "array([0.74999764, 0.66481528])" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x # This will output the estimated parameters" ] }, { "cell_type": "markdown", "metadata": { "id": "KxKURtH704qC" }, "source": [ "## Plotting and Visualisation\n", "\n", "PyBOP provides various plotting utilities to visualise the results of the optimisation." ] }, { "cell_type": "markdown", "metadata": { "id": "-cWCOiqR04qC" }, "source": [ "### Comparing System Response\n", "\n", "We can quickly plot the system's response using the estimated parameters compared to the target:" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 467 }, "id": "tJUJ80Ve04qD", "outputId": "855fbaa2-1e09-4935-eb1a-8caf7f99eb75" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "fill": "toself", "fillcolor": "rgba(255,229,204,0.8)", "hoverinfo": "skip", "line": { "color": "rgba(255,255,255,0)" }, "showlegend": false, "type": "scatter", "x": [ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898, 898, 896, 894, 892, 890, 888, 886, 884, 882, 880, 878, 876, 874, 872, 870, 868, 866, 864, 862, 860, 858, 856, 854, 852, 850, 848, 846, 844, 842, 840, 838, 836, 834, 832, 830, 828, 826, 824, 822, 820, 818, 816, 814, 812, 810, 808, 806, 804, 802, 800, 798, 796, 794, 792, 790, 788, 786, 784, 782, 780, 778, 776, 774, 772, 770, 768, 766, 764, 762, 760, 758, 756, 754, 752, 750, 748, 746, 744, 742, 740, 738, 736, 734, 732, 730, 728, 726, 724, 722, 720, 718, 716, 714, 712, 710, 708, 706, 704, 702, 700, 698, 696, 694, 692, 690, 688, 686, 684, 682, 680, 678, 676, 674, 672, 670, 668, 666, 664, 662, 660, 658, 656, 654, 652, 650, 648, 646, 644, 642, 640, 638, 636, 634, 632, 630, 628, 626, 624, 622, 620, 618, 616, 614, 612, 610, 608, 606, 604, 602, 600, 598, 596, 594, 592, 590, 588, 586, 584, 582, 580, 578, 576, 574, 572, 570, 568, 566, 564, 562, 560, 558, 556, 554, 552, 550, 548, 546, 544, 542, 540, 538, 536, 534, 532, 530, 528, 526, 524, 522, 520, 518, 516, 514, 512, 510, 508, 506, 504, 502, 500, 498, 496, 494, 492, 490, 488, 486, 484, 482, 480, 478, 476, 474, 472, 470, 468, 466, 464, 462, 460, 458, 456, 454, 452, 450, 448, 446, 444, 442, 440, 438, 436, 434, 432, 430, 428, 426, 424, 422, 420, 418, 416, 414, 412, 410, 408, 406, 404, 402, 400, 398, 396, 394, 392, 390, 388, 386, 384, 382, 380, 378, 376, 374, 372, 370, 368, 366, 364, 362, 360, 358, 356, 354, 352, 350, 348, 346, 344, 342, 340, 338, 336, 334, 332, 330, 328, 326, 324, 322, 320, 318, 316, 314, 312, 310, 308, 306, 304, 302, 300, 298, 296, 294, 292, 290, 288, 286, 284, 282, 280, 278, 276, 274, 272, 270, 268, 266, 264, 262, 260, 258, 256, 254, 252, 250, 248, 246, 244, 242, 240, 238, 236, 234, 232, 230, 228, 226, 224, 222, 220, 218, 216, 214, 212, 210, 208, 206, 204, 202, 200, 198, 196, 194, 192, 190, 188, 186, 184, 182, 180, 178, 176, 174, 172, 170, 168, 166, 164, 162, 160, 158, 156, 154, 152, 150, 148, 146, 144, 142, 140, 138, 136, 134, 132, 130, 128, 126, 124, 122, 120, 118, 116, 114, 112, 110, 108, 106, 104, 102, 100, 98, 96, 94, 92, 90, 88, 86, 84, 82, 80, 78, 76, 74, 72, 70, 68, 66, 64, 62, 60, 58, 56, 54, 52, 50, 48, 46, 44, 42, 40, 38, 36, 34, 32, 30, 28, 26, 24, 22, 20, 18, 16, 14, 12, 10, 8, 6, 4, 2, 0 ], "y": [ 4.064458320501508, 4.056052762158592, 4.0487962686414525, 4.042585833976561, 4.037232835097531, 4.03257712970519, 4.028491518754141, 4.024876559034254, 4.021655606108165, 4.018768293806505, 4.0161666152952, 4.013812407545703, 4.011673680124297, 4.009724155345706, 4.007942048853279, 4.0063088634324, 4.004809540399291, 4.003430513850505, 4.002161003009127, 4.00099071495522, 3.999911206578099, 3.998914490911029, 3.997993673000907, 3.997142440201619, 3.9963551640380586, 3.995626744209389, 3.994952582500556, 3.9943283869179536, 3.993750347234406, 3.9932150343474624, 3.9927191146525662, 3.9922594704301138, 3.991833495066583, 3.991438622892807, 3.991072175007909, 3.9907320620325617, 3.990416208314984, 3.990122486847953, 3.989849085201429, 3.9895942776052857, 3.989356403748299, 3.9891339051225514, 3.9889253460706713, 3.9887293622396625, 3.9885446620475777, 3.988370042887224, 3.9882043692063527, 3.988046556437383, 3.987895599753707, 3.9877505488709857, 3.9876104877926246, 3.987474563770338, 3.987341987405048, 3.987212010227377, 3.987083929835911, 3.986957062048655, 3.986830746317142, 3.986704419111199, 3.9865775282169262, 3.986449557410258, 3.986320016059678, 3.9861883901258057, 3.986054281506057, 3.9859172878067146, 3.985777034320949, 3.98563317306535, 3.9854853411017994, 3.98533324550752, 3.9851766042405945, 3.985015153703548, 3.9848486507603735, 3.9846768613849513, 3.984499575648364, 3.984316606562869, 3.984127780152747, 3.983932938572084, 3.983731936157834, 3.983524639327555, 3.983310935992475, 3.983090724224544, 3.982863915043445, 3.9826304286909298, 3.9823901783417233, 3.9821431200521817, 3.9818892083244712, 3.9816284081961326, 3.9813606949008102, 3.981086053552698, 3.9808044788533095, 3.98051597481893, 3.980220475910093, 3.97991803830976, 3.9796086855171766, 3.97929244540802, 3.978969352848035, 3.978639449466783, 3.978302783445445, 3.977959409317745, 3.9776093142950497, 3.9772525721505576, 3.976889263121147, 3.976519452983738, 3.976143211705376, 3.975760613258723, 3.9753717354474314, 3.974976659741225, 3.9745754225298366, 3.974168089731364, 3.973754776343832, 3.973335568596183, 3.972910555189912, 3.972479827221868, 3.9720434781174503, 3.9716016035738946, 3.9711543015129434, 3.970701672042251, 3.9702438174253305, 3.969780842058975, 3.969312852458187, 3.968839891663136, 3.968361980209246, 3.967879312144116, 3.967391989448715, 3.966900115024439, 3.9664037926668496, 3.965903127044247, 3.965398223681156, 3.9648891889459774, 3.96437613004287, 3.963859155007252, 3.9633383727048086, 3.9628138928337022, 3.9622857848538486, 3.961753980259769, 3.961218726281947, 3.960680121569508, 3.960138264308483, 3.959593252183619, 3.9590451823422463, 3.9584941513605822, 3.957940255211827, 3.957383589236448, 3.95682424811409, 3.956262325837444, 3.9556979156876424, 3.955131109534443, 3.9545619006722488, 3.953990446415313, 3.953416831562608, 3.9528411396133576, 3.952263452732252, 3.951683851716143, 3.9511024159620898, 3.950519223436771, 3.949934350647213, 3.949347872612788, 3.948759862838432, 3.9481703932891494, 3.947579534365659, 3.946987412993837, 3.9463940715242063, 3.9457995688487766, 3.9452039729434447, 3.944607350451607, 3.944009766677483, 3.943411285580378, 3.9428119697695823, 3.942211880499981, 3.941611077668443, 3.941009619810741, 3.9404075640991514, 3.939804966340691, 3.939201929083719, 3.938598503865509, 3.937994723684075, 3.9373906430981624, 3.936786315642902, 3.9361817938418806, 3.935577129219407, 3.9349723723129904, 3.934367572685963, 3.9337627789402503, 3.933158038729264, 3.9325533987709185, 3.93194890486068, 3.931344598813826, 3.9307405225462806, 3.930136721857109, 3.929533238613641, 3.9289301137972985, 3.9283273875159335, 3.927725099016159, 3.927123286695714, 3.9265219881157174, 3.925921240012984, 3.925321078312248, 3.924721538138302, 3.924122653828175, 3.923524450555332, 3.9229269418525656, 3.922330176457931, 3.921734184020202, 3.921138993328944, 3.920544632322312, 3.9199511280949046, 3.9193585069055064, 3.9187667941848825, 3.918176014543489, 3.917586191779196, 3.9169973488849457, 3.916409508056379, 3.915822691254781, 3.915236924543753, 3.9146522238098895, 3.914068608443516, 3.913486097099391, 3.912904707704774, 3.912324457467403, 3.911745362883411, 3.911167439745198, 3.910590703149161, 3.910015167503445, 3.909440846535554, 3.9088677532999023, 3.9082959001853026, 3.907725352268668, 3.907156086330904, 3.906588110131392, 3.906021434977519, 3.905456071569253, 3.904892030002614, 3.9043293197730007, 3.9037679497785502, 3.903207928323413, 3.902649263120972, 3.90209196129703, 3.9015360293929464, 3.900981473368741, 3.9004282986061214, 3.899876509911508, 3.8993261115189863, 3.8987771070932142, 3.8982294997322926, 3.897683291970595, 3.897138485781557, 3.8965950825804, 3.896053083226816, 3.8955124880276464, 3.894973479409284, 3.8944359159609543, 3.8938997927898567, 3.893365111244194, 3.8928318722512505, 3.8923000763200473, 3.8917697235439728, 3.8912408136033343, 3.890713345767862, 3.890187318899152, 3.889662731453013, 3.889139581481844, 3.888617866636829, 3.8880975841701826, 3.887578730937284, 3.887061303398744, 3.886545297622442, 3.8860307092854938, 3.885517533676153, 3.885005765695656, 3.884495399859997, 3.8839864303016713, 3.883478851684374, 3.882972878879071, 3.882468322219818, 3.8819651777314186, 3.8814634412077695, 3.8809631082150577, 3.8804641740948647, 3.8799666339672023, 3.87947048273345, 3.878975715079215, 3.878482325477103, 3.877990308189455, 3.8774996572709486, 3.8770103665711337, 3.8765224297369465, 3.8760358402150623, 3.875550591254246, 3.875066675907578, 3.874584087034617, 3.87410281730353, 3.87362285919308, 3.8731442049945968, 3.8726668468138343, 3.872190776911459, 3.8717160031695506, 3.871242521918264, 3.870770328875075, 3.870299419935004, 3.8698297911814943, 3.869361438897266, 3.8688945959788623, 3.868429009064996, 3.867964556705881, 3.867501261990155, 3.867039229693138, 3.866578384122753, 3.8661187196459705, 3.8656602597382905, 3.86520299243876, 3.8647469057736634, 3.86429199301419, 3.863838247102335, 3.8633856623235183, 3.862934232113529, 3.862483949799157, 3.862034808600298, 3.861586724604013, 3.861139753872099, 3.860693891918763, 3.860249131621257, 3.859805465758453, 3.859362887012568, 3.858921387970775, 3.85848096112686, 3.8580415988826817, 3.857603293549709, 3.857166037350407, 3.856729822419626, 3.856294593903323, 3.855860303980405, 3.8554270131189816, 3.854994713212551, 3.854563396071275, 3.85413305342295, 3.853703676914004, 3.853275258110362, 3.8528477884983263, 3.852421259485328, 3.8519956624007, 3.8515709884963463, 3.8511472289473727, 3.850724270994635, 3.8503021681896015, 3.849880934200909, 3.8494605599902783, 3.849041036442977, 3.8486223543680897, 3.8482045044987134, 3.8477874774921874, 3.847371263930169, 3.8469558543187, 3.84654123908821, 3.84612740859349, 3.845714326592301, 3.845301911056292, 3.844890233420811, 3.84447928380944, 3.844069052266989, 3.843659528759075, 3.84325070317168, 3.842842565310608, 3.842435104900903, 3.8420283115861857, 3.841622174927995, 3.841216684404971, 3.8408118294120537, 3.840407529216243, 3.8400037928204385, 3.839600643781504, 3.839198071204656, 3.838796064104344, 3.838394611403088, 3.837993701930117, 3.837593324420073, 3.8371934675115495, 3.836794119745636, 3.836395269564312, 3.8359969053088614, 3.835599008204721, 3.835201478594577, 3.834804382240972, 3.8344077066074, 3.8340114390472624, 3.833615566801704, 3.833220076997311, 3.8328249566437904, 3.8324301926315294, 3.8320357717290983, 3.831641680580652, 3.831247905703253, 3.830854433484134, 3.8304612501778386, 3.8300683419033095, 3.829675694640845, 3.8292832942290462, 3.8288911263615697, 3.828499176583876, 3.828107430289855, 3.8277158727183354, 3.8273244889495537, 3.8269332435733534, 3.8265421008445895, 3.82615107824348, 3.825760159841712, 3.825369329532814, 3.82497857102791, 3.824587867851399, 3.824197203336537, 3.823806560620891, 3.8234159226417166, 3.8230252721312272, 3.822634591611723, 3.822243863390683, 3.821853069555716, 3.821462191969372, 3.821071212263919, 3.82068011183598, 3.820288871841056, 3.819897473187962, 3.8195058965331543, 3.81911412227496, 3.81872213054771, 3.818329896566029, 3.8179374012742633, 3.817544626258986, 3.8171515504940623, 3.8167581526584, 3.8163644111294497, 3.815970303976701, 3.8155758089549856, 3.815180903497822, 3.814785564710601, 3.8143897693637174, 3.8139934938856337, 3.813596714355898, 3.813199406498071, 3.8128015456726225, 3.812403106869787, 3.812004064702366, 3.8116043933985018, 3.8112040667944296, 3.8108030583272416, 3.8104013410276054, 3.8099988875125126, 3.8095956724792432, 3.8091916667588186, 3.8087868417184287, 3.808381168404399, 3.807974617414164, 3.8075671588893902, 3.805445345491064, 3.8058528040158377, 3.806259355006073, 3.8066650283201025, 3.807069853360492, 3.807473859080917, 3.8078770741141863, 3.808279527629279, 3.8086812449289154, 3.8090822533961033, 3.809482580000175, 3.80988225130404, 3.8102812934714607, 3.810679732274296, 3.811077593099745, 3.811474900957572, 3.8118716804873074, 3.812267955965391, 3.812663751312275, 3.813059090099496, 3.8134539955566593, 3.813848490578375, 3.814242597731123, 3.814636339260074, 3.815029737095736, 3.815422812860659, 3.815815587875937, 3.816208083167702, 3.816600317149384, 3.8169923088766335, 3.817384083134828, 3.817775659789635, 3.81816705844273, 3.8185582984376536, 3.818949398865593, 3.819340378571046, 3.81973125615739, 3.820122049992357, 3.820512778213397, 3.820903458732901, 3.8212941092433903, 3.821684747222565, 3.8220753899382105, 3.8224660544530726, 3.822856757629584, 3.823247516134488, 3.8236383464433854, 3.8240292648451537, 3.824420287446263, 3.824811430175027, 3.8252026755512274, 3.825594059320009, 3.825985616891529, 3.8263773631855496, 3.8267693129632434, 3.82716148083072, 3.827553881242519, 3.827946528504983, 3.828339436779512, 3.828732620085808, 3.829126092304927, 3.8295198671823254, 3.829913958330773, 3.830308379233203, 3.830703143245464, 3.8310982635989848, 3.831493753403378, 3.831889625648936, 3.8322858932090735, 3.8326825688426456, 3.83307966519625, 3.833477194806395, 3.833875091910535, 3.8342734561659855, 3.8346723063473096, 3.8350716541132233, 3.835471511021747, 3.835871888531791, 3.8362727980047615, 3.8366742507060176, 3.8370762578063298, 3.8374788303831777, 3.837881979422112, 3.838285715817917, 3.8386900160137274, 3.8390948710066457, 3.839500361529669, 3.839906498187859, 3.840313291502577, 3.840720751912282, 3.841128889773354, 3.8415377153607486, 3.841947238868663, 3.842357470411114, 3.842768420022485, 3.8431800976579655, 3.843592513193974, 3.844005595195163, 3.844419425689883, 3.844834040920374, 3.845249450531843, 3.845665664093861, 3.846082691100387, 3.846500540969763, 3.8469192230446505, 3.847338746591952, 3.847759120802582, 3.848180354791275, 3.848602457596309, 3.8490254155490464, 3.84944917509802, 3.8498738490023734, 3.8502994460870017, 3.8507259751, 3.851153444712036, 3.851581863515678, 3.852011240024624, 3.852441582672949, 3.852872899814225, 3.8533051997206553, 3.853738490582079, 3.854172780504997, 3.854608009021299, 3.8550442239520817, 3.855481480151383, 3.855919785484355, 3.8563591477285337, 3.856799574572449, 3.8572410736142415, 3.8576836523601266, 3.858127318222931, 3.858572078520437, 3.859017940473773, 3.859464911205687, 3.859912995201971, 3.860362136400831, 3.860812418715202, 3.861263848925193, 3.8617164337040086, 3.862170179615864, 3.862625092375337, 3.863081179040434, 3.863538446339964, 3.863996906247644, 3.8644565707244265, 3.864917416294812, 3.865379448591829, 3.865842743307555, 3.8663071956666695, 3.866772782580536, 3.86723962549894, 3.867707977783168, 3.8681776065366775, 3.868648515476749, 3.869120708519938, 3.869594189771224, 3.8700689635131327, 3.870545033415508, 3.8710223915962705, 3.8715010457947536, 3.871981003905203, 3.8724622736362906, 3.872944862509251, 3.87342877785592, 3.873914026816737, 3.87440061633862, 3.874888553172807, 3.8753778438726223, 3.8758684947911286, 3.876360512078777, 3.8768539016808887, 3.877348669335124, 3.877844820568876, 3.8783423606965384, 3.878841294816731, 3.8793416278094432, 3.879843364333092, 3.880346508821492, 3.8808510654807447, 3.881357038286048, 3.881864616903345, 3.88237358646167, 3.8828839522973295, 3.883395720277827, 3.883908895887167, 3.884423484224116, 3.8849394900004177, 3.8854569175389577, 3.885975770771856, 3.8864960532385022, 3.887017768083518, 3.8875409180546865, 3.8880655055008257, 3.888591532369536, 3.889119000205008, 3.8896479101456465, 3.890178262921721, 3.890710058852924, 3.891243297845868, 3.8917779793915304, 3.892314102562628, 3.892851666010958, 3.89339067462932, 3.8939312698284896, 3.8944732691820736, 3.895016672383231, 3.8955614785722688, 3.8961076863339663, 3.896655293694888, 3.89720429812066, 3.8977546965131817, 3.898306485207795, 3.8988596599704146, 3.89941421599462, 3.899970147898704, 3.9005274497226456, 3.9010861149250866, 3.901646136380224, 3.9022075063746744, 3.902770216604288, 3.903334258170927, 3.903899621579193, 3.9044662967330654, 3.9050342729325775, 3.905603538870342, 3.906174086786976, 3.906745939901577, 3.907319033137228, 3.907893354105118, 3.908468889750835, 3.909045626346872, 3.909623549485085, 3.910202644069077, 3.910782894306448, 3.911364283701065, 3.9119467950451896, 3.9125304104115632, 3.9131151111454265, 3.9137008778564546, 3.9142876946580527, 3.9148755354866194, 3.91546437838087, 3.9160542011451622, 3.916644980786556, 3.91723669350718, 3.9178293146965784, 3.9184228189239856, 3.9190171799306177, 3.919612370621876, 3.920208363059605, 3.9208051284542393, 3.921402637157006, 3.922000840429849, 3.922599724739975, 3.923199264913922, 3.923799426614658, 3.924400174717391, 3.925001473297388, 3.9256032856178327, 3.926205574117607, 3.926808300398972, 3.9274114252153143, 3.9280149084587825, 3.9286187091479543, 3.929222785415499, 3.929827091462354, 3.930431585372592, 3.931036225330938, 3.931640965541925, 3.9322457592876368, 3.932850558914664, 3.933455315821081, 3.9340599804435543, 3.934664502244576, 3.935268829699836, 3.9358729102857497, 3.936476690467183, 3.9370801156853927, 3.937683152942365, 3.938285750700825, 3.938887806412415, 3.939489264270117, 3.940090067101654, 3.940690156371256, 3.941289472182051, 3.941887953279157, 3.942485537053281, 3.9430821595451184, 3.9436777554504503, 3.94427225812588, 3.94486559959551, 3.9454577209673327, 3.946048579890823, 3.946638049440106, 3.947226059214462, 3.947812537248886, 3.948397410038446, 3.948980602563763, 3.949562038317817, 3.9501416393339257, 3.9507193262150313, 3.951295018164282, 3.9518686330169865, 3.9524400872739225, 3.9530092961361167, 3.953576102289316, 3.954140512439118, 3.954702434715763, 3.9552617758381214, 3.955818441813501, 3.956372337962256, 3.95692336894392, 3.957471438785293, 3.958016450910157, 3.958558308171182, 3.9590969128836218, 3.959632166861443, 3.9601639714555223, 3.960692079435376, 3.9612165593064823, 3.961737341608926, 3.962254316644544, 3.962767375547651, 3.9632764102828295, 3.9637813136459217, 3.9642819792685233, 3.964778301626113, 3.965270176050389, 3.96575749874579, 3.96624016681092, 3.9667180782648095, 3.967191039059861, 3.967659028660649, 3.968122004027004, 3.968579858643925, 3.969032488114617, 3.969479790175568, 3.969921664719124, 3.9703580138235415, 3.970788741791586, 3.971213755197857, 3.9716329629455056, 3.9720462763330375, 3.9724536091315104, 3.972854846342899, 3.973249922049105, 3.973638799860397, 3.97402139830705, 3.974397639585413, 3.974767449722821, 3.9751307587522313, 3.975487500896723, 3.9758375959194185, 3.976180970047119, 3.976517636068457, 3.9768475394497087, 3.977170632009694, 3.9774868721188503, 3.9777962249114336, 3.978098662511767, 3.978394161420604, 3.978682665454983, 3.978964240154372, 3.979238881502485, 3.9795065947978063, 3.979767394926145, 3.980021306653855, 3.980268364943397, 3.980508615292603, 3.9807421016451183, 3.9809689108262174, 3.981189122594149, 3.9814028259292287, 3.981610122759508, 3.9818111251737576, 3.982005966754421, 3.9821947931645423, 3.982377762250038, 3.982555047986625, 3.9827268373620472, 3.982893340305222, 3.983054790842268, 3.983211432109194, 3.983363527703473, 3.983511359667024, 3.983655220922622, 3.983795474408388, 3.9839324681077306, 3.984066576727479, 3.984198202661352, 3.984327744011931, 3.9844557148186, 3.9845826057128737, 3.984708932918816, 3.9848352486503287, 3.9849621164375857, 3.985090196829051, 3.985220174006722, 3.985352750372012, 3.9854886743942983, 3.985628735472659, 3.985773786355381, 3.985924743039057, 3.9860825558080264, 3.986248229488898, 3.986422848649251, 3.986607548841336, 3.986803532672345, 3.987012091724225, 3.9872345903499737, 3.987472464206959, 3.9877272718031023, 3.9880006734496263, 3.9882943949166574, 3.9886102486342354, 3.9889503616095823, 3.989316809494481, 3.9897116816682567, 3.990137657031787, 3.99059730125424, 3.991093220949136, 3.99162853383608, 3.9922065735196273, 3.9928307691022296, 3.9935049308110626, 3.994233350639732, 3.9950206268032926, 3.9958718596025817, 3.996792677512703, 3.9977893931797728, 3.998868901556894, 4.0000391896108, 4.001308700452178, 4.002687727000964, 4.004187050034073, 4.0058202354549515, 4.007602341947379, 4.00955186672597, 4.0116905941473755, 4.014044801896873, 4.016646480408178, 4.019533792709838, 4.022754745635927, 4.026369705355814, 4.030455316306863, 4.035111021699204, 4.040464020578233, 4.046674455243125, 4.053930948760264, 4.062336507103181 ] }, { "mode": "markers", "name": "Target", "type": "scatter", "x": [ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898 ], "y": [ 4.063766615038272, 4.055347026526715, 4.046888251680567, 4.041651559638272, 4.036084848086105, 4.030312191583603, 4.028432380301851, 4.024134326208111, 4.020718477366584, 4.01826318716266, 4.015124237587261, 4.01095181116977, 4.010959267576446, 4.007910075821095, 4.008017026534262, 4.005238601258139, 4.001827919179753, 4.00453773200696, 4.002402266155831, 4.000184214612106, 3.9995515186981914, 3.996995332053068, 3.995177043200375, 3.997171418952401, 3.994764901774827, 3.9950074090992698, 3.99385383278708, 3.993730405849108, 3.99168165972527, 3.993483841666832, 3.9914989522418023, 3.9905313356256817, 3.9933724966583672, 3.988378129662939, 3.989764823181861, 3.9885611037267177, 3.988559194360511, 3.988269148749386, 3.988238321593786, 3.990224262803108, 3.989524750957501, 3.986268466331111, 3.987600735285836, 3.98893442277192, 3.988241819106558, 3.9864108364449686, 3.9883946844594353, 3.986132469131501, 3.985430402094664, 3.98640980081397, 3.9853286820676863, 3.985793611490026, 3.9860861268514176, 3.9851231592676433, 3.987890614344661, 3.985561221696603, 3.9874416349593114, 3.9854026779276497, 3.9868641600563826, 3.985872856461782, 3.986478874582215, 3.985894405174802, 3.9855997912052303, 3.984419577944207, 3.9832170021118953, 3.984915699700496, 3.9858117463856986, 3.983794186650886, 3.984627429314067, 3.9832290056569257, 3.984763116181034, 3.9844466621666785, 3.9844363911315144, 3.98176397217256, 3.980290414534456, 3.9818310102476246, 3.982894894985081, 3.982971837931911, 3.981919006944154, 3.983961961880057, 3.981082782525831, 3.98154101899838, 3.982399147338916, 3.979550316284578, 3.980777401420939, 3.9817483081866656, 3.9806952719418542, 3.9782976845379183, 3.9786449399916815, 3.979550712541695, 3.980141828604427, 3.978313381522482, 3.977079196022803, 3.977490151196053, 3.978800394916369, 3.977264631702401, 3.978195392499222, 3.9781289292408615, 3.977388523661405, 3.976341512120868, 3.975028077105661, 3.9770162552106942, 3.974593009501583, 3.974129216473858, 3.976052740642858, 3.9730649968801575, 3.974648186340009, 3.973259788713131, 3.972909525428935, 3.971667094500572, 3.970678132192676, 3.9718824064983105, 3.971584579536206, 3.971612072049483, 3.970594027589356, 3.970953962176267, 3.968850478959772, 3.96793477243484, 3.969220093404579, 3.9667098269383736, 3.969964893281222, 3.964931335451744, 3.9655746184755434, 3.963502507582772, 3.9648711714385425, 3.9631916296805074, 3.96268547206851, 3.9640645422485625, 3.965361461979576, 3.962080133913093, 3.9625417670027314, 3.962031598221051, 3.9611772333545057, 3.960845057803919, 3.959800956700075, 3.9609667573312857, 3.960318489761386, 3.957488219496922, 3.956809995715678, 3.9579831825659983, 3.9578866449604577, 3.956754560888196, 3.956428963115653, 3.9569962888941967, 3.9546981467427, 3.9540266171111336, 3.9536867732929704, 3.9538548068888857, 3.9514663725033095, 3.951497027004693, 3.9502776715691903, 3.949640979832731, 3.948649119059432, 3.949184283306578, 3.95030457744666, 3.9479656560194702, 3.950279385899929, 3.947687694781781, 3.94744363187631, 3.9447431920234624, 3.9443165511317817, 3.944807275915567, 3.943244865694062, 3.9427999396921094, 3.944261181767336, 3.940899458824193, 3.940983887084527, 3.941371232980305, 3.94017715268593, 3.9387703292792793, 3.940708049106405, 3.9382866771125222, 3.938494927979451, 3.938865151149417, 3.9352511090355047, 3.9356249653112614, 3.9347448334114423, 3.934248660937708, 3.934999890721485, 3.9341807069881622, 3.933638661116357, 3.93188008951488, 3.9324857523456647, 3.9330179676787407, 3.932030480299193, 3.9306754471525664, 3.928884697838489, 3.9287091849760745, 3.926525830942548, 3.928731358321464, 3.92564062488089, 3.927006517786558, 3.926274975721286, 3.925275021250464, 3.924516673259597, 3.925327548073805, 3.923968241216764, 3.9235818519272994, 3.9220898139958313, 3.921565038984273, 3.9225987091943946, 3.9216797800033665, 3.921520181828624, 3.918237610699066, 3.918807161500553, 3.919951950629526, 3.9206064471454583, 3.918239509668187, 3.9156042789752896, 3.918080896365676, 3.9168506658565905, 3.9143153262612738, 3.913605507789458, 3.913403082736573, 3.9135153200583273, 3.9108765522464193, 3.9119728557148776, 3.911912132598821, 3.908961363578715, 3.909016634167384, 3.9092012824466407, 3.908861592041687, 3.908681595899965, 3.9065439021343664, 3.907340339983547, 3.907719578079045, 3.905908735381989, 3.904713684667116, 3.904939137041487, 3.902776466434739, 3.9034005272953696, 3.903871026152845, 3.90351997014436, 3.9025636686923257, 3.902287367974386, 3.9002271463467824, 3.899814768596363, 3.9006012748057017, 3.8979532460299713, 3.899394797438973, 3.89959135971848, 3.8991091898973607, 3.897979924758292, 3.897051699498517, 3.896835806675986, 3.8954731663549063, 3.894329346283228, 3.893942396872436, 3.8953462253147086, 3.8923963185873514, 3.892207211880495, 3.8935137762073726, 3.891196033638067, 3.8924626664803985, 3.888981558423561, 3.892122200242589, 3.889227660160607, 3.888693660950026, 3.8890744315171824, 3.8902600706970976, 3.8871381874743665, 3.885953459696169, 3.8853101171862305, 3.885977403912898, 3.885372358921568, 3.88303830115534, 3.883864022611429, 3.884777194605211, 3.884886131870058, 3.8828507454739434, 3.881152329612826, 3.882281562617418, 3.8824343436144257, 3.880950911507418, 3.8802400975631968, 3.8804261438044265, 3.8797094503244263, 3.879701806038266, 3.878017216734086, 3.878113640891222, 3.879236676420687, 3.876721943585403, 3.87634619260526, 3.8746570682579047, 3.8747663189332897, 3.875818259987654, 3.872366684272034, 3.874743889654071, 3.872819059744377, 3.8713068345984434, 3.873926199130008, 3.871892915333893, 3.8711244175081223, 3.8713598981921673, 3.8694012099360098, 3.870680772951998, 3.870410350122405, 3.8698006845876, 3.869197947278966, 3.8671289726173734, 3.867849205049668, 3.867609960369193, 3.8657174755635024, 3.866413373541229, 3.8662958726462495, 3.865768218114033, 3.864615119647024, 3.865663083203446, 3.8630853175548663, 3.863250804749552, 3.863012752253663, 3.8630412717984552, 3.8636740939563983, 3.863257385837275, 3.860796347473389, 3.8618305287438366, 3.859217852679095, 3.8600162914490985, 3.860799802162212, 3.857819599674143, 3.8599991753584626, 3.856215891167527, 3.8588699057210416, 3.856242887048386, 3.8564687549288856, 3.856980792077119, 3.8568987659743734, 3.8575827615426177, 3.854339866718487, 3.855703799718036, 3.856240195390902, 3.853694365448336, 3.8540068319027423, 3.853497981977703, 3.850435499394477, 3.85017206561899, 3.851213736052692, 3.851087551682031, 3.8518160835126376, 3.851239845599939, 3.848434399061387, 3.848505136307469, 3.847927426660232, 3.848601324744481, 3.8484172720067407, 3.8483849264517263, 3.849502686169691, 3.845643246910342, 3.845959113621842, 3.8462451849937977, 3.845550879901952, 3.8455902243703526, 3.843524396198685, 3.844102840581636, 3.8430193356027247, 3.845356232630326, 3.8441326660015127, 3.840728247463448, 3.842781228973563, 3.841998361546287, 3.840743800480641, 3.841537200461888, 3.8405529178380062, 3.839848254375025, 3.84073618500955, 3.840706160120692, 3.837318168080091, 3.8380128126498576, 3.840340246523285, 3.838431692851306, 3.839566263853612, 3.838371158434279, 3.835997568264091, 3.8351879025035864, 3.8348106580301953, 3.836927242423968, 3.8365504896229097, 3.8346285665075976, 3.837377704861987, 3.834017967468721, 3.8335400658457033, 3.833025972355043, 3.8327972681239433, 3.831916319057857, 3.832417328795066, 3.8340781487453865, 3.832821679829236, 3.829784037023579, 3.829763268675516, 3.830140448119536, 3.8290133869372607, 3.82939005991013, 3.830395252181539, 3.828324937479579, 3.8279985117214457, 3.827093812289111, 3.8276331600893694, 3.825418436769915, 3.825705259292321, 3.827943817927957, 3.825255418886575, 3.823687602901275, 3.8254157101107182, 3.824996780345293, 3.823449511851582, 3.827696826247711, 3.824926860984399, 3.821228055618123, 3.822878980581137, 3.823078649056603, 3.821781566445678, 3.821619381508941, 3.820300701511277, 3.8199852660226674, 3.818905266929785, 3.818607949913291, 3.818715092496598, 3.817952541485566, 3.818936144132713, 3.818628032061025, 3.8178859786511463, 3.816627779909325, 3.818286632226881, 3.818000982464898, 3.816960053249001, 3.8150153970422416, 3.815209564965538, 3.815986428908258, 3.8155537052621553, 3.8137172652358986, 3.814446436419453, 3.8145333341724577, 3.815853424246921, 3.814031057938185, 3.8121417883619495, 3.8133995391295943, 3.810958980109545, 3.810456878830927, 3.8098424004613185, 3.810285380726005, 3.809759253383596, 3.809859493147646, 3.807527390752216, 3.809916535294804, 3.8090681738034338, 3.807577308643072, 3.809621569556448, 3.808249752024658, 3.8080809062041503, 3.8058012979439737 ] }, { "line": { "width": 4 }, "mode": "lines", "name": "Model", "type": "scatter", "x": [ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508, 510, 512, 514, 516, 518, 520, 522, 524, 526, 528, 530, 532, 534, 536, 538, 540, 542, 544, 546, 548, 550, 552, 554, 556, 558, 560, 562, 564, 566, 568, 570, 572, 574, 576, 578, 580, 582, 584, 586, 588, 590, 592, 594, 596, 598, 600, 602, 604, 606, 608, 610, 612, 614, 616, 618, 620, 622, 624, 626, 628, 630, 632, 634, 636, 638, 640, 642, 644, 646, 648, 650, 652, 654, 656, 658, 660, 662, 664, 666, 668, 670, 672, 674, 676, 678, 680, 682, 684, 686, 688, 690, 692, 694, 696, 698, 700, 702, 704, 706, 708, 710, 712, 714, 716, 718, 720, 722, 724, 726, 728, 730, 732, 734, 736, 738, 740, 742, 744, 746, 748, 750, 752, 754, 756, 758, 760, 762, 764, 766, 768, 770, 772, 774, 776, 778, 780, 782, 784, 786, 788, 790, 792, 794, 796, 798, 800, 802, 804, 806, 808, 810, 812, 814, 816, 818, 820, 822, 824, 826, 828, 830, 832, 834, 836, 838, 840, 842, 844, 846, 848, 850, 852, 854, 856, 858, 860, 862, 864, 866, 868, 870, 872, 874, 876, 878, 880, 882, 884, 886, 888, 890, 892, 894, 896, 898 ], "y": [ 4.0633974138023445, 4.054991855459428, 4.047735361942289, 4.041524927277397, 4.0361719283983675, 4.031516223006027, 4.027430612054977, 4.023815652335091, 4.020594699409002, 4.017707387107341, 4.015105708596036, 4.012751500846539, 4.010612773425134, 4.008663248646543, 4.006881142154115, 4.005247956733236, 4.003748633700128, 4.0023696071513415, 4.001100096309964, 3.999929808256057, 3.998850299878936, 3.997853584211866, 3.996932766301744, 3.996081533502456, 3.995294257338895, 3.9945658375102258, 3.9938916758013927, 3.9932674802187904, 3.992689440535243, 3.9921541276482992, 3.991658207953403, 3.99119856373095, 3.99077258836742, 3.990377716193644, 3.990011268308746, 3.9896711553333986, 3.989355301615821, 3.98906158014879, 3.9887881785022654, 3.9885333709061226, 3.988295497049136, 3.988072998423388, 3.987864439371508, 3.9876684555404993, 3.9874837553484146, 3.987309136188061, 3.9871434625071895, 3.98698564973822, 3.986834693054544, 3.986689642171822, 3.9865495810934615, 3.986413657071175, 3.986281080705885, 3.986151103528214, 3.986023023136749, 3.985896155349492, 3.985769839617979, 3.985643512412037, 3.985516621517763, 3.9853886507110943, 3.985259109360515, 3.985127483426642, 3.9849933748068938, 3.984856381107551, 3.9847161276217857, 3.984572266366187, 3.984424434402636, 3.984272338808357, 3.9841156975414314, 3.983954247004385, 3.9837877440612104, 3.983615954685788, 3.983438668949201, 3.983255699863706, 3.983066873453584, 3.9828720318729207, 3.982671029458671, 3.982463732628392, 3.982250029293312, 3.982029817525381, 3.981803008344282, 3.981569521991766, 3.98132927164256, 3.981082213353018, 3.980828301625308, 3.9805675014969695, 3.980299788201647, 3.980025146853535, 3.9797435721541463, 3.979455068119767, 3.97915956921093, 3.9788571316105967, 3.9785477788180135, 3.978231538708857, 3.977908446148872, 3.97757854276762, 3.977241876746282, 3.9768985026185817, 3.9765484075958866, 3.9761916654513945, 3.975828356421984, 3.975458546284575, 3.975082305006213, 3.97469970655956, 3.974310828748268, 3.973915753042062, 3.9735145158306735, 3.9731071830322007, 3.9726938696446688, 3.97227466189702, 3.9718496484907497, 3.9714189205227046, 3.970982571418287, 3.970540696874731, 3.97009339481378, 3.969640765343088, 3.9691829107261674, 3.968719935359812, 3.968251945759024, 3.9677789849639726, 3.967301073510083, 3.966818405444953, 3.966331082749552, 3.965839208325276, 3.9653428859676865, 3.964842220345085, 3.9643373169819927, 3.9638282822468143, 3.963315223343707, 3.962798248308089, 3.9622774660056455, 3.961752986134539, 3.9612248781546855, 3.960693073560606, 3.960157819582785, 3.959619214870345, 3.95907735760932, 3.958532345484456, 3.957984275643083, 3.957433244661419, 3.956879348512664, 3.9563226825372846, 3.9557633414149262, 3.955201419138281, 3.9546370089884793, 3.95407020283528, 3.9535009939730856, 3.9529295397161497, 3.952355924863445, 3.9517802329141944, 3.951202546033089, 3.95062294501698, 3.950041509262926, 3.949458316737609, 3.9488734439480497, 3.948286965913625, 3.947698956139269, 3.9471094865899863, 3.946518627666496, 3.945926506294674, 3.945333164825043, 3.9447386621496134, 3.9441430662442816, 3.943546443752444, 3.94294885997832, 3.942350378881214, 3.941751063070419, 3.9411509738008177, 3.94055017096928, 3.939948713111578, 3.939346657399988, 3.938744059641528, 3.938141022384556, 3.937537597166346, 3.936933816984912, 3.9363297363989993, 3.935725408943739, 3.9351208871427175, 3.934516222520245, 3.933911465613827, 3.9333066659868, 3.932701872241088, 3.932097132030101, 3.9314924920717553, 3.930887998161517, 3.930283692114662, 3.9296796158471174, 3.9290758151579457, 3.928472331914478, 3.9278692070981354, 3.9272664808167703, 3.926664192316996, 3.926062379996551, 3.9254610814165543, 3.924860333313821, 3.924260171613085, 3.9236606314391382, 3.923061747129012, 3.922463543856169, 3.9218660351534025, 3.921269269758768, 3.920673277321039, 3.920078086629781, 3.9194837256231487, 3.9188902213957415, 3.918297600206343, 3.9177058874857194, 3.917115107844326, 3.916525285080033, 3.9159364421857825, 3.915348601357216, 3.9147617845556177, 3.9141760178445897, 3.9135913171107264, 3.9130077017443528, 3.912425190400228, 3.911843801005611, 3.91126355076824, 3.910684456184248, 3.9101065330460343, 3.909529796449998, 3.9089542608042818, 3.908379939836391, 3.907806846600739, 3.907234993486139, 3.906664445569505, 3.9060951796317407, 3.9055272034322286, 3.904960528278356, 3.90439516487009, 3.903831123303451, 3.9032684130738375, 3.902707043079387, 3.9021470216242498, 3.901588356421809, 3.901031054597867, 3.9004751226937833, 3.8999205666695778, 3.8993673919069582, 3.898815603212345, 3.898265204819823, 3.897716200394051, 3.8971685930331295, 3.896622385271432, 3.896077579082394, 3.8955341758812367, 3.8949921765276527, 3.8944515813284832, 3.893912572710121, 3.893375009261791, 3.8928388860906935, 3.892304204545031, 3.8917709655520873, 3.891239169620884, 3.8907088168448096, 3.890179906904171, 3.889652439068699, 3.889126412199989, 3.8886018247538496, 3.888078674782681, 3.887556959937666, 3.887036677471019, 3.886517824238121, 3.886000396699581, 3.885484390923279, 3.88496980258633, 3.88445662697699, 3.8839448589964927, 3.883434493160834, 3.882925523602508, 3.882417944985211, 3.881911972179908, 3.881407415520655, 3.880904271032255, 3.8804025345086064, 3.879902201515894, 3.8794032673957015, 3.878905727268039, 3.878409576034287, 3.877914808380052, 3.87742141877794, 3.876929401490292, 3.8764387505717854, 3.87594945987197, 3.8754615230377834, 3.874974933515899, 3.874489684555083, 3.874005769208414, 3.8735231803354537, 3.8730419106043663, 3.8725619524939168, 3.8720832982954336, 3.871605940114671, 3.871129870212296, 3.8706550964703874, 3.870181615219101, 3.869709422175912, 3.8692385132358407, 3.868768884482331, 3.868300532198103, 3.867833689279699, 3.8673681023658326, 3.866903650006718, 3.866440355290992, 3.865978322993975, 3.8655174774235896, 3.8650578129468074, 3.8645993530391274, 3.864142085739597, 3.8636859990745, 3.863231086315027, 3.862777340403172, 3.862324755624355, 3.861873325414366, 3.861423043099994, 3.860973901901134, 3.86052581790485, 3.860078847172936, 3.8596329852196, 3.859188224922094, 3.8587445590592897, 3.8583019803134047, 3.857860481271612, 3.857420054427697, 3.8569806921835186, 3.856542386850546, 3.856105130651245, 3.855668915720462, 3.85523368720416, 3.854799397281242, 3.8543661064198185, 3.853933806513388, 3.853502489372112, 3.853072146723787, 3.852642770214841, 3.852214351411199, 3.851786881799163, 3.851360352786165, 3.850934755701537, 3.850510081797183, 3.8500863222482096, 3.849663364295472, 3.8492412614904383, 3.8488200275017457, 3.848399653291115, 3.8479801297438136, 3.847561447668926, 3.8471435977995503, 3.846726570793024, 3.846310357231006, 3.845894947619537, 3.8454803323890463, 3.845066501894326, 3.8446534198931377, 3.8442410043571287, 3.843829326721648, 3.843418377110277, 3.843008145567826, 3.842598622059912, 3.842189796472517, 3.841781658611445, 3.84137419820174, 3.840967404887022, 3.840561268228832, 3.840155777705808, 3.8397509227128905, 3.83934662251708, 3.8389428861212753, 3.838539737082341, 3.838137164505493, 3.837735157405181, 3.8373337047039247, 3.836932795230954, 3.83653241772091, 3.8361325608123864, 3.8357332130464727, 3.8353343628651486, 3.8349359986096982, 3.834538101505558, 3.834140571895414, 3.8337434755418087, 3.8333467999082367, 3.8329505323480992, 3.832554660102541, 3.832159170298148, 3.8317640499446273, 3.8313692859323663, 3.830974865029936, 3.830580773881489, 3.83018699900409, 3.829793526784971, 3.8294003434786754, 3.8290074352041463, 3.828614787941682, 3.828222387529883, 3.8278302196624066, 3.8274382698847127, 3.827046523590692, 3.826654966019172, 3.8262635822503905, 3.8258723368741903, 3.8254811941454263, 3.825090171544317, 3.824699253142549, 3.824308422833651, 3.823917664328747, 3.823526961152236, 3.8231362966373736, 3.822745653921728, 3.8223550159425534, 3.821964365432064, 3.82157368491256, 3.82118295669152, 3.820792162856553, 3.820401285270209, 3.820010305564756, 3.8196192051368167, 3.819227965141893, 3.818836566488798, 3.818444989833991, 3.8180532155757967, 3.817661223848547, 3.8172689898668657, 3.8168764945751, 3.8164837195598222, 3.816090643794899, 3.815697245959237, 3.815303504430286, 3.814909397277538, 3.8145149022558225, 3.814119996798659, 3.813724658011438, 3.8133288626645543, 3.8129325871864705, 3.812535807656735, 3.812138499798908, 3.8117406389734594, 3.811342200170624, 3.810943158003203, 3.810543486699338, 3.8101431600952664, 3.8097421516280785, 3.8093404343284423, 3.8089379808133494, 3.80853476578008, 3.808130760059655, 3.8077259350192656, 3.807320261705236, 3.806913710715001, 3.806506252190227 ] } ], "layout": { "autosize": false, "height": 576, "legend": { "font": { "size": 12 }, "x": 1, "xanchor": "right", "y": 1, "yanchor": "top" }, "margin": { "b": 10, "l": 10, "pad": 4, "r": 10, "t": 75 }, "showlegend": true, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Optimised Comparison", "x": 0.5 }, "width": 1024, "xaxis": { "autorange": true, "range": [ -54.313231642426395, 952.3132316424264 ], "tickfont": { "size": 12 }, "title": { "font": { "size": 12 }, "text": "Time [s]" }, "type": "linear" }, "yaxis": { "autorange": true, "range": [ 3.7887473598078, 4.080820553174445 ], "tickfont": { "size": 12 }, "title": { "font": { "size": 12 }, "text": "Voltage [V]" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pybop.quick_plot(x, cost, title=\"Optimised Comparison\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Convergence and Parameter Trajectories\n", "\n", "To assess the optimisation process, we can plot the convergence of the cost function and the trajectories of the parameters:" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "id": "N5XYkevi04qD" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "line": { "width": 4 }, "mode": "lines", "name": "SciPyDifferentialEvolution", "type": "scatter", "x": [ 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 ], "y": [ 0.006562205529376925, 0.006562205529376925, 0.006562205529376925, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005644769656826887, 0.0005316357552282654, 0.0005316357552282654, 0.0005316357552282654, 0.0005169782580600236, 0.0005163829577250096, 0.0005065398512937003, 0.0005065398512937003, 0.0005065398512937003, 0.0005065225518342466, 0.0005065077948997031, 0.0005065077948997031, 0.0005065077948997031, 0.0005065077948997031 ] } ], "layout": { "autosize": false, "height": 576, "legend": { "font": { "size": 12 }, "x": 1, "xanchor": "right", "y": 1, "yanchor": "top" }, "margin": { "b": 10, "l": 10, "pad": 4, "r": 10, "t": 75 }, "showlegend": true, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Convergence", "x": 0.5 }, "width": 1024, "xaxis": { "autorange": true, "range": [ 1, 25 ], "tickfont": { "size": 12 }, "title": { "font": { "size": 12 }, "text": "Iteration" }, "type": "linear" }, "yaxis": { "autorange": true, "range": [ 0.0001700801429843019, 0.006898633181292326 ], "tickfont": { "size": 12 }, "title": { "font": { "size": 12 }, "text": "Cost" }, "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": [ { "name": "Negative electrode active material volume fraction", "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 ], "xaxis": "x", "y": [ 0.7145355135850915, 0.7145355135850915, 0.7145355135850915, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7452296012764972, 0.7452296012764972, 0.7452296012764972, 0.7482073447942585, 0.7489880201720678, 0.7499124517928609, 0.7499124517928609, 0.7499124517928609, 0.7499565206690408, 0.7499977819992971, 0.7499977819992971, 0.7499977819992971, 0.7499977819992971 ], "yaxis": "y" }, { "name": "Positive electrode active material volume fraction", "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 ], "xaxis": "x2", "y": [ 0.6589211925687739, 0.6589211925687739, 0.6589211925687739, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6649346587129739, 0.6649346587129739, 0.6649346587129739, 0.6646282576198099, 0.6644932381302697, 0.664854627922799, 0.664854627922799, 0.664854627922799, 0.6648448196971358, 0.6648356955334283, 0.6648356955334283, 0.6648356955334283, 0.6648356955334283 ], "yaxis": "y2" } ], "layout": { "height": 576, "legend": { "orientation": "h", "x": 1, "xanchor": "right", "y": 1.02, "yanchor": "bottom" }, "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": "Parameter Convergence" }, "width": 1024, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 0.45 ], "range": [ 0, 24 ], "title": { "text": "Function Call" }, "type": "linear" }, "xaxis2": { "anchor": "y2", "autorange": true, "domain": [ 0.55, 1 ], "range": [ 0, 24 ], "title": { "text": "Function Call" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 0.7125653875620801, 0.7519679080223085 ], "title": { "text": "Negative electrode active material volume fraction" }, "type": "linear" }, "yaxis2": { "anchor": "x2", "autorange": true, "domain": [ 0, 1 ], "range": [ 0.6585871111163184, 0.6652687401654294 ], "title": { "text": "Positive electrode active material volume fraction" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pybop.plot_convergence(optim)\n", "pybop.plot_parameters(optim);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Cost Landscape\n", "\n", "Finally, we can visualise the cost landscape and the path taken by the optimiser:" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "autocontour": true, "contours": { "end": 11, "size": 1, "start": 1 }, "type": "contour", "x": [ 0.5, 0.5214285714285715, 0.5428571428571428, 0.5642857142857143, 0.5857142857142857, 0.6071428571428572, 0.6285714285714286, 0.65, 0.6714285714285715, 0.6928571428571428, 0.7142857142857143, 0.7357142857142858, 0.7571428571428571, 0.7785714285714287, 0.8 ], "y": [ 0.4, 0.42142857142857143, 0.4428571428571429, 0.4642857142857143, 0.4857142857142857, 0.5071428571428571, 0.5285714285714286, 0.55, 0.5714285714285714, 0.5928571428571429, 0.6142857142857143, 0.6357142857142857, 0.6571428571428571, 0.6785714285714286, 0.7 ], "z": [ [ 11.322803026040509, 10.804737413870422, 10.321884421201204, 9.88813184954459, 9.515044477182132, 9.204997075392118, 8.949924311080872, 8.736784909443042, 8.553335186325493, 8.39051653904552, 8.242341019095612, 8.105018087073347, null, null, null ], [ 9.008556231681686, 8.547629442521204, 8.11790010865649, 7.732022581961179, 7.400573320847254, 7.125777980659261, 6.90040490640006, 6.712672295733595, 6.551559456353907, 6.408930936879965, 6.279420135987163, 6.1596324825743585, null, null, null ], [ 7.094001578855459, 6.686922750836166, 6.307791915055457, 5.967774284541525, 5.6762655884007005, 5.435179553744752, 5.23800256595118, 5.074201807540395, 4.93397704865406, 4.810122187390254, 4.697894458727673, 4.594298326669547, null, null, null ], [ 5.536856858630295, 5.179201557405506, 4.847049692404961, 4.549972110964798, 4.2960076496464055, 4.086592653773387, 3.915795993493997, 3.7742555637991, 3.653348911492528, 3.546774605249209, 3.450400583866675, 3.3616209149828724, null, null, null ], [ 4.291697858153526, 3.9783984173164177, 3.6887980412971153, 3.4308946704650647, 3.2113605150541797, 3.031039044481356, 2.884446435292884, 2.7632726074208565, 2.6599854893551043, 2.569129924475843, 2.487147786415034, 2.411799444422493, null, null, null ], [ 3.3079534120655625, 3.0339535145109764, 2.782220019361462, 2.559378671035935, 2.370783299271193, 2.2166764878097154, 2.0919180783759384, 1.989119536509966, 1.9017237850841144, 1.8250396302375091, 1.7560279757748187, 1.6927815842795813, null, null, null ], [ 2.5347198781278393, 2.2954669672184664, 2.0772369096046512, 1.885481333090584, 1.7243924725491333, 1.59365867309327, 1.4884189378210717, 1.402084460006423, 1.328953434387011, 1.2650077415226484, 1.2076667870039992, 1.155317225417325, null, null, null ], [ 1.9268095722475056, 1.7184755209939442, 1.529994642181137, 1.365830714813307, 1.2291864999492923, 1.1192860289267867, 1.0314797655359895, 0.9599093231137, 0.8996089699902878, 0.8471485312058193, 0.8003485968875966, 0.757854716704248, null, null, null ], [ 1.4478930382745154, 1.267367962660306, 1.10557188607622, 0.966100153140222, 0.8513328172106654, 0.7600998646159558, 0.6879840346771158, 0.6297391697348106, 0.5810577731413856, 0.5390255852656032, 0.5018154564392161, 0.4682985854385274, null, null, null ], [ 1.070515238178191, 0.9153575722767072, 0.7777464160506249, 0.6606238306368305, 0.5656437234721206, 0.4913150859181103, 0.43344456496301387, 0.38733621103905114, 0.34926870903025514, 0.31678575584401397, 0.2883731464196626, 0.2630994972145666, null, null, null ], [ 0.7742875175477854, 0.64251122400973, 0.5271403302659905, 0.430498430229312, 0.3536311347707525, 0.29478506560688494, 0.2499859057778532, 0.2150408172983835, 0.1867587876536507, 0.1630963356689108, 0.14282038200348013, 0.12517957872740124, null, null, null ], [ 0.544277020524047, 0.4342887631668893, 0.339572226833885, 0.2619018688242151, 0.2017911413261167, 0.15726903763168118, 0.1245769172292694, 0.09998839643776286, 0.08079941189248956, 0.06534449946449926, 0.05264564847055233, 0.04211880719758811, null, null, null ], [ 0.3692293410604435, 0.27971608909583345, 0.20435433505384476, 0.14442141475419856, 0.09995574459182408, 0.0688025598311706, 0.047415666012875446, 0.032506222032915116, 0.021823320800918485, 0.014051544414104904, 0.008450627276584707, 0.004589526777338098, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ] ] } ], "layout": { "height": 600, "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": "Cost Landscape", "x": 0.5, "y": 0.9 }, "width": 600, "xaxis": { "range": [ 0.5, 0.8 ], "title": { "text": "Negative electrode active material volume fraction" }, "type": "linear" }, "yaxis": { "range": [ 0.4, 0.7 ], "title": { "text": "Positive electrode active material volume fraction" }, "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": [ { "autocontour": true, "contours": { "end": 2.4000000000000004, "size": 0.2, "start": 0.2 }, "type": "contour", "x": [ 0.6, 0.6214285714285714, 0.6428571428571428, 0.6642857142857143, 0.6857142857142857, 0.7071428571428572, 0.7285714285714285, 0.75, 0.7714285714285715, 0.7928571428571429, 0.8142857142857143, 0.8357142857142857, 0.8571428571428572, 0.8785714285714286, 0.9 ], "y": [ 0.5, 0.5214285714285715, 0.5428571428571428, 0.5642857142857143, 0.5857142857142857, 0.6071428571428572, 0.6285714285714286, 0.65, 0.6714285714285715, 0.6928571428571428, 0.7142857142857143, 0.7357142857142858, 0.7571428571428571, 0.7785714285714287, 0.8 ], "z": [ [ 2.5149208346771337, 2.373720678499792, 2.258173109706532, 2.160915892754608, 2.07635094179124, 2.0007534508525513, 1.9317701168677424, 1.8679207566482692, null, null, null, null, null, null, null ], [ 1.8256894010564384, 1.7060116553541598, 1.6085048772823631, 1.5267112210193965, 1.45581126730002, 1.3926296360195338, 1.3351701891211487, 1.282179576028008, null, null, null, null, null, null, null ], [ 1.299148237225782, 1.1986828673401322, 1.11732076922261, 1.049405659987848, 0.9907989169808608, 0.9388064566524504, 0.8917452637984544, 0.8485610614051244, null, null, null, null, null, null, null ], [ 0.8986339916067055, 0.8153826808335651, 0.7485371482014828, 0.693144230019122, 0.6456611761862863, 0.60381528832615, 0.5661992163252081, 0.5319275377036794, null, null, null, null, null, null, null ], [ 0.5965377335881437, 0.5288461562188239, 0.4751647633460869, 0.4311648398332728, 0.39383039742912573, 0.3612611055473523, 0.3322915002696722, 0.30618935385355683, null, null, null, null, null, null, null ], [ 0.3725771481452655, 0.31910313792925665, 0.27748120994576386, 0.24394597717135225, 0.2159542462869203, 0.1919397777246836, 0.17095161835058442, 0.15239863777919432, null, null, null, null, null, null, null ], [ 0.21201162849325417, 0.1716591741447442, 0.14118702803438413, 0.11734570272214868, 0.09802279915361369, 0.08195528899330606, 0.0683892182141575, 0.05685918977742564, null, null, null, null, null, null, null ], [ 0.1038425238149653, 0.07571124502578128, 0.055628217031981245, 0.040833023155197795, 0.029608127731344032, 0.02096914651517444, 0.01434560659375128, 0.009386784353833616, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], [ null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ] ] }, { "marker": { "color": "red", "line": { "color": "midnightblue", "width": 1 }, "showscale": false, "size": 12, "symbol": "x" }, "mode": "markers", "showlegend": false, "type": "scatter", "x": [ 0.6304957516149899 ], "y": [ 0.48139206192883566 ] }, { "marker": { "color": [ 0, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36, 0.4, 0.44, 0.48, 0.52, 0.56, 0.6, 0.64, 0.68, 0.72, 0.76, 0.8, 0.84, 0.88, 0.92, 0.96 ], "colorscale": [ [ 0, "rgb(255,255,229)" ], [ 0.125, "rgb(255,247,188)" ], [ 0.25, "rgb(254,227,145)" ], [ 0.375, "rgb(254,196,79)" ], [ 0.5, "rgb(254,153,41)" ], [ 0.625, "rgb(236,112,20)" ], [ 0.75, "rgb(204,76,2)" ], [ 0.875, "rgb(153,52,4)" ], [ 1, "rgb(102,37,6)" ] ], "showscale": false }, "mode": "markers", "showlegend": false, "type": "scatter", "x": [ 0.7145355135850915, 0.7145355135850915, 0.7145355135850915, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7459409890771588, 0.7452296012764972, 0.7452296012764972, 0.7452296012764972, 0.7482073447942585, 0.7489880201720678, 0.7499124517928609, 0.7499124517928609, 0.7499124517928609, 0.7499565206690408, 0.7499977819992971, 0.7499977819992971, 0.7499977819992971, 0.7499977819992971 ], "y": [ 0.6589211925687739, 0.6589211925687739, 0.6589211925687739, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6643317124140159, 0.6649346587129739, 0.6649346587129739, 0.6649346587129739, 0.6646282576198099, 0.6644932381302697, 0.664854627922799, 0.664854627922799, 0.664854627922799, 0.6648448196971358, 0.6648356955334283, 0.6648356955334283, 0.6648356955334283, 0.6648356955334283 ] } ], "layout": { "height": 600, "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": "Cost Landscape", "x": 0.5, "y": 0.9 }, "width": 600, "xaxis": { "range": [ 0.6, 0.9 ], "title": { "text": "Negative electrode active material volume fraction" }, "type": "linear" }, "yaxis": { "range": [ 0.5, 0.8 ], "title": { "text": "Positive electrode active material volume fraction" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the cost landscape\n", "pybop.plot_cost2d(cost, steps=15)\n", "# Plot the cost landscape with optimisation path and updated bounds\n", "bounds = np.array([[0.6, 0.9], [0.5, 0.8]])\n", "pybop.plot_cost2d(cost, optim=optim, bounds=bounds, steps=15);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusion\n", "\n", "This notebook illustrates how to perform parameter estimation using Differential Evolution method in PyBOP, providing insights into the optimisation process through various visualisations." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "colab": { "provenance": [] }, "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": "3.11.4" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "06f2374f91c8455bb63252092512f2ed": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "423bffea3a1c42b49a9ad71218e5811b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "56ff19291e464d63b23e63b8e2ac9ea3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "SliderStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "SliderStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "description_width": "", "handle_color": null } }, "646a8670cb204a31bb56bc2380898093": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7d46516469314b88be3500e2afcafcf6": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_646a8670cb204a31bb56bc2380898093", "msg_id": "", "outputs": [], "tabbable": null, "tooltip": null } }, "8d003c14da5f4fa68284b28c15cee6e6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "VBoxModel", "state": { "_dom_classes": [ "widget-interact" ], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "VBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "VBoxView", "box_style": "", "children": [ "IPY_MODEL_aef2fa7adcc14ad0854b73d5910ae3b4", "IPY_MODEL_7d46516469314b88be3500e2afcafcf6" ], "layout": "IPY_MODEL_423bffea3a1c42b49a9ad71218e5811b", "tabbable": null, "tooltip": null } }, "aef2fa7adcc14ad0854b73d5910ae3b4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatSliderModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatSliderModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "FloatSliderView", "behavior": "drag-tap", "continuous_update": true, "description": "t", "description_allow_html": false, "disabled": false, "layout": "IPY_MODEL_06f2374f91c8455bb63252092512f2ed", "max": 1.1333333333333333, "min": 0, "orientation": "horizontal", "readout": true, "readout_format": ".2f", "step": 0.011333333333333332, "style": "IPY_MODEL_56ff19291e464d63b23e63b8e2ac9ea3", "tabbable": null, "tooltip": null, "value": 0 } } } } }, "nbformat": 4, "nbformat_minor": 4 }