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The first working version
2023-05-07 23:41:31 +02:00
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import supporting package"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"from uncertainties import ufloat\n",
"from uncertainties import unumpy as unp\n",
"from uncertainties import umath\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from DataContainer.ReadData import read_hdf5_file\n",
"from Analyser.ImagingAnalyser import ImageAnalyser\n",
"from Analyser.FitAnalyser import FitAnalyser\n",
"from ToolFunction.ToolFunction import *\n",
"\n",
"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
"xr.plot.dataarray_plot.errorbar = errorbar\n",
"xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar\n",
"\n",
"imageAnalyser = ImageAnalyser()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start a client for parallel computing"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\Program Files\\Python\\Python38\\Lib\\site-packages\\distributed\\node.py:182: UserWarning: Port 8787 is already in use.\n",
"Perhaps you already have a cluster running?\n",
"Hosting the HTTP server on port 55915 instead\n",
" warnings.warn(\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-b786dde8-ed1c-11ed-b3ac-9c7bef43b4fb</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55915/status\" target=\"_blank\">http://127.0.0.1:55915/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
" <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:55915/status\" }'>\n",
" Launch dashboard in JupyterLab\n",
" </button>\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">7243c492</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:55915/status\" target=\"_blank\">http://127.0.0.1:55915/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-73d23a11-ab74-4d22-b9a2-387f2aed7f10</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:55916\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:55915/status\" target=\"_blank\">http://127.0.0.1:55915/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55949\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55959/status\" target=\"_blank\">http://127.0.0.1:55959/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55919\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-ob17r6o2\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55945\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55950/status\" target=\"_blank\">http://127.0.0.1:55950/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55920\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-qn7xplpb\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55956\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55963/status\" target=\"_blank\">http://127.0.0.1:55963/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55921\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-mrxmtuur\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55947\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55952/status\" target=\"_blank\">http://127.0.0.1:55952/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55922\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-t3x612h7\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55946\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55953/status\" target=\"_blank\">http://127.0.0.1:55953/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55923\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-7mevg0yn\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:55948\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:55957/status\" target=\"_blank\">http://127.0.0.1:55957/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:55924\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-my5m_xym\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:55916' processes=6 threads=60, memory=55.88 GiB>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from dask.distributed import Client\n",
"client = Client(n_workers=6, threads_per_worker=10, processes=True, memory_limit='10GB')\n",
"client"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set global path for experiment"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"groupList = [\n",
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
" # \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
"]\n",
"\n",
"dskey = {\n",
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_1\",\n",
" # \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"SequenceName = \"Evaporative_Cooling\" + \"/\"\n",
"folderPath = SequenceName + get_date()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# An example for one experimental run"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
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"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
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":root {\n",
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" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (runs: 3, x: 1200, y: 1920)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" atoms (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" background (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" dark (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" shotNum (runs) int64 0 1 2\n",
" OD (runs, x, y) float64 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
"Attributes: (12/96)\n",
" TOF_free: 0.02\n",
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: nan\n",
" blink_on_time: nan\n",
" ... ...\n",
" y_offset_img: 0\n",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
" runs: [0. 1. 2.]\n",
" scanAxis: [&#x27;runs&#x27;]\n",
" scanAxisLength: [3.]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d651544-9e39-4dd4-9d1e-bc75e31d0ef4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d651544-9e39-4dd4-9d1e-bc75e31d0ef4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 3</li><li><span>x</span>: 1200</li><li><span>y</span>: 1920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a8c1d488-f95c-4a40-b370-4da85d54972b' class='xr-section-summary-in' type='checkbox' checked><label for='section-a8c1d488-f95c-4a40-b370-4da85d54972b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0</div><input id='attrs-cab521fc-6302-4eb6-8b5a-3d0de0706e9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cab521fc-6302-4eb6-8b5a-3d0de0706e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9358cd94-aeb1-4ae1-adcf-961bfa433985' class='xr-var-data-in' type='checkbox'><label for='data-9358cd94-aeb1-4ae1-adcf-961bfa433985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91287a87-3332-49b9-b554-2871b9a0b8b6' class='xr-section-summary-in' type='checkbox' checked><label for='section-91287a87-3332-49b9-b554-2871b9a0b8b6' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>atoms</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-82b7c1b4-d4a4-435f-b78f-bdbc7d4f1293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82b7c1b4-d4a4-435f-b78f-bdbc7d4f1293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c534f67-556c-4c1f-b5ac-f93f52c7b0da' class='xr-var-data-in' type='checkbox'><label for='data-8c534f67-556c-4c1f-b5ac-f93f52c7b0da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"\n",
" <!-- Vertical lines -->\n",
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" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"84\" />\n",
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"\n",
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"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
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"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
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"\n",
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"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"109.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"164.948598\" y=\"52.448598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,52.448598)\">1200</text>\n",
" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-19c5ef61-6925-4d8e-b7fc-81f77edf2aca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19c5ef61-6925-4d8e-b7fc-81f77edf2aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0853ff4c-976e-4366-bf47-870abf6c2dd6' class='xr-var-data-in' type='checkbox'><label for='data-0853ff4c-976e-4366-bf47-870abf6c2dd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-af0ca10d-2b35-4e4a-ab3c-d42378072db0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af0ca10d-2b35-4e4a-ab3c-d42378072db0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d70110a-f761-4494-b1d3-f532ca9701f0' class='xr-var-data-in' type='checkbox'><label for='data-6d70110a-f761-4494-b1d3-f532ca9701f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
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" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shotNum</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-77f57c77-f27c-4897-beb7-76e68eb477e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77f57c77-f27c-4897-beb7-76e68eb477e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8207ebf4-a673-4e29-a941-265b2debfefa' class='xr-var-data-in' type='checkbox'><label for='data-8207ebf4-a673-4e29-a941-265b2debfefa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OD</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-67243472-d448-4dbf-9aab-1e866469ea0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67243472-d448-4dbf-9aab-1e866469ea0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c91b5741-7926-461d-9970-94a35784b371' class='xr-var-data-in' type='checkbox'><label for='data-c91b5741-7926-461d-9970-94a35784b371' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 52.73 MiB </td>\n",
" <td> 17.58 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 40 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
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" <td>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b527ea33-72ff-4bd8-95b5-f6828712c1e5' class='xr-section-summary-in' type='checkbox' ><label for='section-b527ea33-72ff-4bd8-95b5-f6828712c1e5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d116e1e-0394-481a-9150-8308c3bdc4d4' class='xr-index-data-in' type='checkbox'/><label for='index-4d116e1e-0394-481a-9150-8308c3bdc4d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([0.0, 1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41ae573f-651a-4f1b-bc61-0ddd67017e27' class='xr-section-summary-in' type='checkbox' ><label for='section-41ae573f-651a-4f1b-bc61-0ddd67017e27' class='xr-section-summary' >Attributes: <span>(96)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TOF_free :</span></dt><dd>0.02</dd><dt><span>abs_img_freq :</span></dt><dd>110.858</dd><dt><span>absorption_imaging_flag :</span></dt><dd>True</dd><dt><span>backup_data :</span></dt><dd>True</dd><dt><span>blink_off_time :</span></dt><dd>nan</dd><dt><span>blink_on_time :</span></dt><dd>nan</dd><dt><span>c_duration :</span></dt><dd>0.2</dd><dt><span>cmot_final_current :</span></dt><dd>0.65</dd><dt><span>cmot_hold :</span></dt><dd>0.06</dd><dt><span>cmot_initial_current :</span></dt><dd>0.18</dd><dt><span>compX_current :</span></dt><dd>0.005</dd><dt><span>compX_current_sg :</span></dt><dd>0</dd><dt><span>compX_final_current :</span></dt><dd>0.002</dd><dt><span>compX_initial_current :</span></dt><dd>0.005</dd><dt><span>compY_current :</span></dt><dd>0</dd><dt><span>compY_current_sg :</span></dt><dd>0</dd><dt><span>compY_final_current :</span></dt><dd>0</dd><dt><span>compY_initial_current :</span></dt><dd>0</dd><dt><span>compZ_current :</span></dt><dd>0</dd><dt><span>compZ_current_sg :</span></dt><dd>0.189</dd><dt><span>compZ_final_current :</span></dt><dd>0.283</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_final_pow :</span></dt><dd>0.35</dd><dt><span>evap_1_arm_1_mod_depth_final :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_mod_depth_initial :</span></dt><dd>1.0</dd><dt><span>evap_1_arm_1_mod_ramp_duration :</span></dt><dd>1.15</dd><dt><span>evap_1_arm_1_pow_ramp_duration :</span></dt><dd>1.65</dd><dt><span>evap_1_arm_1_start_pow :</span></dt><dd>7</dd><dt><span>evap_1_arm_2_final_pow :</span></dt><dd>5</dd><dt><span>evap_1_arm_2_ramp_duration :</span></dt><dd>0.5</dd><dt><span>evap_1_arm_2_start_pow :</span></dt><dd>0</dd><dt><span>evap_1_mod_ramp_trunc_value :</span></dt><dd>1</dd><dt><span>evap_1_pow_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_1_rate_constant_1 :</span></dt><dd>0.525</dd><dt><span>evap_1_rate_constant_2 :</span></dt><dd>0.51</dd><dt><span>evap_2_arm_1_final_pow :</span></dt><dd>0.037</dd><dt><span>evap_2_arm_1_start_pow :</span></dt><dd>0.35</dd><dt><span>evap_2_arm_2_final_pow :</span></dt><dd>0.09</dd><dt><span>evap_2_arm_2_start_pow :</span></dt><dd>5</dd><dt><span>evap_2_ramp_duration :</span></dt><dd>1.0</dd><dt><span>evap_2_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_2_rate_constant_1 :</span></dt><dd>0.37</dd><dt><span>evap_2_rate_constant_2 :</span></dt><dd>0.71</dd><dt><span>evap_3_arm_1_final_pow :</span></dt><dd>0.1038</dd><dt><span>evap_3_arm_1_mod_depth_final :</span></dt><dd>0.43</dd><dt><span>evap_3_arm_1_mod_depth_initial :</span></dt><dd>0</dd><dt><span>evap_3_arm_1_start_pow :</span></dt><dd>0.037</dd><dt><span>evap_3_ramp_duration :</span></dt><dd>0.1</dd><dt><span>evap_3_ramp_trunc_va
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (runs: 3, x: 1200, y: 1920)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" atoms (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" background (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" dark (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" shotNum (runs) int64 0 1 2\n",
" OD (runs, x, y) float64 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
"Attributes: (12/96)\n",
" TOF_free: 0.02\n",
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: nan\n",
" blink_on_time: nan\n",
" ... ...\n",
" y_offset_img: 0\n",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
" runs: [0. 1. 2.]\n",
" scanAxis: ['runs']\n",
" scanAxisLength: [3.]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shotNum = \"0000\"\n",
"filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n",
"filepath = r\"./testData/0002/*.h5\"\n",
"\n",
"dataSetDict = {\n",
" dskey[groupList[i]]: read_hdf5_file(filepath, groupList[i])\n",
" for i in range(len(groupList))\n",
"}\n",
"\n",
"dataSet = dataSetDict[\"camera_1\"]\n",
"\n",
"scanAxis = get_scanAxis(dataSet)\n",
"\n",
"auto_rechunk(dataSet)\n",
"\n",
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
"\n",
"dataSet"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculate an plot OD images"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 720x216 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"imageAnalyser.center = (890, 950)\n",
"imageAnalyser.span = (100,100)\n",
"imageAnalyser.fraction = (0.1, 0.1)\n",
"\n",
"dataSet_cropOD = imageAnalyser.crop_image(dataSet.OD)\n",
"dataSet_cropOD = imageAnalyser.substract_offset(dataSet_cropOD).load()\n",
"\n",
"dataSet_cropOD.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Do a 2D two-peak gaussian fit to the OD images"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do the fit"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"fitAnalyser = FitAnalyser(\"Two Gaussian-2D\", fitDim=2)\n",
"\n",
"params = fitAnalyser.guess(dataSet_cropOD, dask=\"parallelized\")\n",
"fitResult = fitAnalyser.fit(dataSet_cropOD, params).load()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x2beac245610>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 720x216 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(100), y=np.arange(100), dask=\"parallelized\").load()\n",
"\n",
"fitCurve.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the result of the fit"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) float64 707.7 677.1 672.9\n",
" A_centerx (runs) float64 53.79 54.95 53.33\n",
" A_centery (runs) float64 41.15 45.33 42.93\n",
" A_sigmax (runs) float64 4.623 4.042 4.348\n",
" A_sigmay (runs) float64 11.14 11.08 10.93\n",
" B_amplitude (runs) float64 226.6 255.8 236.7\n",
" B_centerx (runs) float64 56.33 56.77 55.35\n",
" B_centery (runs) float64 40.97 45.56 43.29\n",
" B_sigmax (runs) float64 15.93 14.59 13.32\n",
" B_sigmay (runs) float64 11.67 11.32 10.98\n",
" delta (runs) float64 -11.31 -10.54 -8.974</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d6928fdb-87a0-4f09-9c7e-20000e26fbda' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6928fdb-87a0-4f09-9c7e-20000e26fbda' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-659efd56-db42-4295-87ee-291d3970fa58' class='xr-section-summary-in' type='checkbox' checked><label for='section-659efd56-db42-4295-87ee-291d3970fa58' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0</div><input id='attrs-604893da-6030-43a1-ba26-9ae77a8f0d7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-604893da-6030-43a1-ba26-9ae77a8f0d7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b2fecd2-a7fe-4bee-a59d-25d88fe185d0' class='xr-var-data-in' type='checkbox'><label for='data-6b2fecd2-a7fe-4bee-a59d-25d88fe185d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41d87972-2340-4150-8363-8238abd9c9f1' class='xr-section-summary-in' type='checkbox' checked><label for='section-41d87972-2340-4150-8363-8238abd9c9f1' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>707.7 677.1 672.9</div><input id='attrs-35a399d5-38a2-4746-82e6-80bfee503a88' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35a399d5-38a2-4746-82e6-80bfee503a88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1071ab67-3f6d-4c18-bc15-8b6f336d8019' class='xr-var-data-in' type='checkbox'><label for='data-1071ab67-3f6d-4c18-bc15-8b6f336d8019' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([707.70718415, 677.12259112, 672.92253838])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.79 54.95 53.33</div><input id='attrs-acaf03af-ed39-4e00-845e-eb9eef710762' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acaf03af-ed39-4e00-845e-eb9eef710762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31025c1d-6378-41af-ab84-3d35b161788a' class='xr-var-data-in' type='checkbox'><label for='data-31025c1d-6378-41af-ab84-3d35b161788a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([53.78832066, 54.95499146, 53.32
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) float64 707.7 677.1 672.9\n",
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" A_centery (runs) float64 41.15 45.33 42.93\n",
" A_sigmax (runs) float64 4.623 4.042 4.348\n",
" A_sigmay (runs) float64 11.14 11.08 10.93\n",
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]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_value(fitResult)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
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".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) float64 7.958 7.015 9.184\n",
" A_centerx (runs) float64 0.02158 0.0181 0.02139\n",
" A_centery (runs) float64 0.06839 0.06528 0.07269\n",
" A_sigmax (runs) float64 0.03128 0.02593 0.03292\n",
" A_sigmay (runs) float64 0.06829 0.06524 0.07257\n",
" B_amplitude (runs) float64 9.231 8.323 9.877\n",
" B_centerx (runs) float64 0.4686 0.3437 0.3496\n",
" B_centery (runs) float64 0.4251 0.3388 0.3642\n",
" B_sigmax (runs) float64 0.6246 0.4683 0.4882\n",
" B_sigmay (runs) float64 0.4245 0.3386 0.3637\n",
" delta (runs) float64 0.6074 0.4543 0.4687</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4f6f1ada-a889-45e3-aaf3-d6b0ab20f153' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f6f1ada-a889-45e3-aaf3-d6b0ab20f153' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bc77cf29-387d-4c47-8451-821bfa920cf9' class='xr-section-summary-in' type='checkbox' checked><label for='section-bc77cf29-387d-4c47-8451-821bfa920cf9' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0</div><input id='attrs-dd5d17c6-d594-46b7-9b24-d2d51d1a1b51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd5d17c6-d594-46b7-9b24-d2d51d1a1b51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6939941-53d0-4e88-b5b8-5c792f5eda67' class='xr-var-data-in' type='checkbox'><label for='data-e6939941-53d0-4e88-b5b8-5c792f5eda67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-544207e4-1877-40c5-872b-354adad5d2f3' class='xr-section-summary-in' type='checkbox' checked><label for='section-544207e4-1877-40c5-872b-354adad5d2f3' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.958 7.015 9.184</div><input id='attrs-16648886-2a24-403c-a7f9-50b7a1db1aa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16648886-2a24-403c-a7f9-50b7a1db1aa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ab5dccb-31b2-4ded-80d0-877850dfd7a6' class='xr-var-data-in' type='checkbox'><label for='data-8ab5dccb-31b2-4ded-80d0-877850dfd7a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([7.95764684, 7.01458287, 9.18416042])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02158 0.0181 0.02139</div><input id='attrs-574b6748-9fc1-47ed-877f-2021f5d71dca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-574b6748-9fc1-47ed-877f-2021f5d71dca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce78855-7166-4ace-92f9-c9a94613ba89' class='xr-var-data-in' type='checkbox'><label for='data-7ce78855-7166-4ace-92f9-c9a94613ba89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.02157672, 0.01809506, 0.021393
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) float64 7.958 7.015 9.184\n",
" A_centerx (runs) float64 0.02158 0.0181 0.02139\n",
" A_centery (runs) float64 0.06839 0.06528 0.07269\n",
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" A_sigmay (runs) float64 0.06829 0.06524 0.07257\n",
" B_amplitude (runs) float64 9.231 8.323 9.877\n",
" B_centerx (runs) float64 0.4686 0.3437 0.3496\n",
" B_centery (runs) float64 0.4251 0.3388 0.3642\n",
" B_sigmax (runs) float64 0.6246 0.4683 0.4882\n",
" B_sigmay (runs) float64 0.4245 0.3386 0.3637\n",
" delta (runs) float64 0.6074 0.4543 0.4687"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_std(fitResult)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
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" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) object 708+/-8 677+/-7 673+/-9\n",
" A_centerx (runs) object 53.788+/-0.022 54.955+/-0.018 53.330+/-0.021\n",
" A_centery (runs) object 41.15+/-0.07 45.33+/-0.07 42.93+/-0.07\n",
" A_sigmax (runs) object 4.623+/-0.031 4.042+/-0.026 4.348+/-0.033\n",
" A_sigmay (runs) object 11.14+/-0.07 11.08+/-0.07 10.93+/-0.07\n",
" B_amplitude (runs) object 227+/-9 256+/-8 237+/-10\n",
" B_centerx (runs) object 56.3+/-0.5 56.77+/-0.34 55.35+/-0.35\n",
" B_centery (runs) object 41.0+/-0.4 45.56+/-0.34 43.3+/-0.4\n",
" B_sigmax (runs) object 15.9+/-0.6 14.6+/-0.5 13.3+/-0.5\n",
" B_sigmay (runs) object 11.7+/-0.4 11.32+/-0.34 11.0+/-0.4\n",
" delta (runs) object -11.3+/-0.6 -10.5+/-0.5 -9.0+/-0.5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c7ed62be-ed4e-4f5d-9e9c-2683471427bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c7ed62be-ed4e-4f5d-9e9c-2683471427bf' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ee6226b1-3987-4592-97a1-65934b30c4a2' class='xr-section-summary-in' type='checkbox' checked><label for='section-ee6226b1-3987-4592-97a1-65934b30c4a2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0</div><input id='attrs-48768a5e-9e0f-4d5d-9278-b627ae6d2193' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48768a5e-9e0f-4d5d-9278-b627ae6d2193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-affbdb3f-1b2c-457f-a0c5-27a049b97438' class='xr-var-data-in' type='checkbox'><label for='data-affbdb3f-1b2c-457f-a0c5-27a049b97438' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7dbdf3b2-bb7c-4603-a76a-49bd84c0ab0f' class='xr-section-summary-in' type='checkbox' checked><label for='section-7dbdf3b2-bb7c-4603-a76a-49bd84c0ab0f' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>708+/-8 677+/-7 673+/-9</div><input id='attrs-918c2ce6-58a0-4535-ab60-499bd0adc813' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-918c2ce6-58a0-4535-ab60-499bd0adc813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-398335be-15ba-4255-be26-b0471bc1909d' class='xr-var-data-in' type='checkbox'><label for='data-398335be-15ba-4255-be26-b0471bc1909d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([707.7071841522594+/-7.957646841432502,\n",
" 677.1225911188163+/-7.0145828702447295,\n",
" 672.9225383770287+/-9.184160423618094], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>53.788+/-0.022 ... 53.330+/-0.021</div><input id='attrs-8b876651-14af-4c16-ae4b-6839eb1e827c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b876651-14af-4c16-ae4b-6839eb1e827c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23bcd13f-cfa1-4456-be98-edc4b9c52ec1' class='xr-var-data-in' type='checkbox'><label for='data-23bcd13f-cfa1-4456-be98-edc4b9c52ec1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([53.788320661976485+/-0.02157671540997578,\n",
" 54.95499145735718+/-0.01809505798436157,\n",
" 53.32975847853453+/-0.02139308309375181], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>41.15+/-0.07 ... 42.93+/-0.07</div><input id='attrs-1ebf349b-b01a-40dd-bfed-39379cfcca71' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ebf349b-b01a-40dd-bfed-39379cfcca71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba6ffeb8-f5f3-476a-8281-9390efd42d82' class='xr-var-data-in' type='checkbox'><label for='data-ba6ffeb8-f5f3-476a-8281-9390efd42d82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([41.15301238812477+/-0.06838635217923014,\n",
" 45.3325411033741+/-0.06528264921652441,\n",
" 42.927644229252635+/-0.07268679944962936], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>4.623+/-0.031 ... 4.348+/-0.033</div><input id='attrs-e9b3ca31-d03c-4ae1-a823-628e2161941f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9b3ca31-d03c-4ae1-a823-628e2161941f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ee76fb3-6d5f-4b98-b581-b18bf7f72fd8' class='xr-var-data-in' type='checkbox'><label for='data-1ee76fb3-6d5f-4b98-b581-b18bf7f72fd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4.622560930356483+/-0.03127700180809454,\n",
" 4.042114666915614+/-0.025932524001012067,\n",
" 4.347932915621794+/-0.032922835785735224], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>11.14+/-0.07 ... 10.93+/-0.07</div><input id='attrs-c2cba213-da22-4b0d-ad87-f9c49eff565c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2cba213-da22-4b0d-ad87-f9c49eff565c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8af47745-aae0-44f5-a1e3-9072680b4673' class='xr-var-data-in' type='checkbox'><label for='data-8af47745-aae0-44f5-a1e3-9072680b4673' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.13994361166041+/-0.06828608420857679,\n",
" 11.082278723689866+/-0.06523894681610942,\n",
" 10.92818732581028+/-0.07257338957071607], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>227+/-9 256+/-8 237+/-10</div><input id='attrs-8469ad54-a030-4f52-a262-036ce1e450cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8469ad54-a030-4f52-a262-036ce1e450cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-932dae8e-9989-4c35-884b-48c3c0270885' class='xr-var-data-in' type='checkbox'><label for='data-932dae8e-9989-4c35-884b-48c3c0270885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([226.62312968944514+/-9.231267409349243,\n",
" 255.8038879491445+/-8.322844384682382,\n",
" 236.74706393113567+/-9.877255889649701], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>56.3+/-0.5 ... 55.35+/-0.35</div><input id='attrs-2b3add10-7ba7-4150-8fe1-7b9660b50c47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b3add10-7ba7-4150-8fe1-7b9660b50c47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-453bb1f2-2f02-4db1-be54-0f37f0ff0766' class='xr-var-data-in' type='checkbox'><label for='data-453bb1f2-2f02-4db1-be54-0f37f0ff0766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([56.3337358950532+/-0.4685959631019834,\n",
" 56.77430543156097+/-0.34368140558217675,\n",
" 55.348140532012984+/-0.34962062799791377], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>41.0+/-0.4 45.56+/-0.34 43.3+/-0.4</div><input id='attrs-a0fe7145-2411-47ad-9a89-3eaa82cfed36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0fe7145-2411-47ad-9a89-3eaa82cfed36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-630589c9-be5e-4b9b-a996-edc1a0a2898b' class='xr-var-data-in' type='checkbox'><label for='data-630589c9-be5e-4b9b-a996-edc1a0a2898b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([40.97192820142755+/-0.4251218730753381,\n",
" 45.56252677145444+/-0.33877514727041974,\n",
" 43.29367998523179+/-0.3642189967939264], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>15.9+/-0.6 14.6+/-0.5 13.3+/-0.5</div><input id='attrs-c893dba2-10a8-485d-a843-bf5a4d98eedf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c893dba2-10a8-485d-a843-bf5a4d98eedf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23e36b3a-246e-4dc2-8d6a-9a541e9de917' class='xr-var-data-in' type='checkbox'><label for='data-23e36b3a-246e-4dc2-8d6a-9a541e9de917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([15.929360701544013+/-0.6245589635604463,\n",
" 14.58558189523271+/-0.46833439267501137,\n",
" 13.321543531885945+/-0.4881961334324943], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>11.7+/-0.4 11.32+/-0.34 11.0+/-0.4</div><input id='attrs-7ef91025-3f7d-4a7e-8574-f4a7196f1e82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ef91025-3f7d-4a7e-8574-f4a7196f1e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f4675cf-f6f3-40f7-9562-3f0cea52ca6f' class='xr-var-data-in' type='checkbox'><label for='data-8f4675cf-f6f3-40f7-9562-3f0cea52ca6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([11.665641409448265+/-0.4245166330220743,\n",
" 11.322640909450621+/-0.3385562066378559,\n",
" 10.977313092378443+/-0.36365588124169607], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>-11.3+/-0.6 -10.5+/-0.5 -9.0+/-0.5</div><input id='attrs-69cddc28-4924-44a5-8d63-f2a9e010acf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69cddc28-4924-44a5-8d63-f2a9e010acf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dbd6a61-986e-4f04-9934-67bfc21e1e27' class='xr-var-data-in' type='checkbox'><label for='data-8dbd6a61-986e-4f04-9934-67bfc21e1e27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-11.30679977118753+/-0.6074159705386072,\n",
" -10.543467228317096+/-0.454341072933164,\n",
" -8.973610616264152+/-0.46872577113400044], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0923f1f4-37e3-4844-ab90-c6bb73e35fcc' class='xr-section-summary-in' type='checkbox' ><label for='section-0923f1f4-37e3-4844-ab90-c6bb73e35fcc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f29a4347-0f79-4a97-afde-99e9a7c96e2b' class='xr-index-data-in' type='checkbox'/><label for='index-f29a4347-0f79-4a97-afde-99e9a7c96e2b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([0.0, 1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7549e9ba-1994-4b44-a67b-74565ca1c174' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7549e9ba-1994-4b44-a67b-74565ca1c174' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (runs: 3)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
" A_amplitude (runs) object 708+/-8 677+/-7 673+/-9\n",
" A_centerx (runs) object 53.788+/-0.022 54.955+/-0.018 53.330+/-0.021\n",
" A_centery (runs) object 41.15+/-0.07 45.33+/-0.07 42.93+/-0.07\n",
" A_sigmax (runs) object 4.623+/-0.031 4.042+/-0.026 4.348+/-0.033\n",
" A_sigmay (runs) object 11.14+/-0.07 11.08+/-0.07 10.93+/-0.07\n",
" B_amplitude (runs) object 227+/-9 256+/-8 237+/-10\n",
" B_centerx (runs) object 56.3+/-0.5 56.77+/-0.34 55.35+/-0.35\n",
" B_centery (runs) object 41.0+/-0.4 45.56+/-0.34 43.3+/-0.4\n",
" B_sigmax (runs) object 15.9+/-0.6 14.6+/-0.5 13.3+/-0.5\n",
" B_sigmay (runs) object 11.7+/-0.4 11.32+/-0.34 11.0+/-0.4\n",
" delta (runs) object -11.3+/-0.6 -10.5+/-0.5 -9.0+/-0.5"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_full_result(fitResult)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get the Ncount"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do a 1D fit"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n",
"\n",
"Ncount.plot()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fitAnalyser = FitAnalyser(\"Linear\", fitDim=1)\n",
"\n",
"params = fitAnalyser.guess(Ncount, x=\"runs\", dask=\"parallelized\")\n",
"fitResult = fitAnalyser.fit(Ncount, params, x=\"runs\").load()\n",
"\n",
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(3), dask=\"parallelized\").load()\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"Ncount.plot.errorbar(ax=ax)\n",
"fitCurve.plot.errorbar(ax=ax, fmt='--g')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculate the mean and standard deviation"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"Ncount_mean = Ncount.mean(dim='runs')\n",
"Ncount_std = Ncount.std(dim='runs')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "env",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "c05913ad4f24fdc6b2418069394dc5835b1981849b107c9ba6df693aafd66650"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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