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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import supporting package"
]
},
{
"cell_type": "code",
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"execution_count": 2,
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"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",
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"execution_count": 3,
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"metadata": {},
"outputs": [
{
"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",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-a81c158c-f2f5-11ed-9770-80e82ce2fa8e</p>\n",
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" <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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\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",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">116b747f</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </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",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-01769d9b-6488-4b9d-a514-715f8d0b544a</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm:</strong> tcp://127.0.0.1:60175\n",
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" </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",
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" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60213\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60214/status\" target=\"_blank\">http://127.0.0.1:60214/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60178\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-6nf75z53\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60204\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60205/status\" target=\"_blank\">http://127.0.0.1:60205/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60179\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-p59ejrm0\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60207\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60209/status\" target=\"_blank\">http://127.0.0.1:60209/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60180\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-jfsb9czh\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60216\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60218/status\" target=\"_blank\">http://127.0.0.1:60218/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60181\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-kstv_j3s\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60208\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60211/status\" target=\"_blank\">http://127.0.0.1:60211/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60182\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-6km3qbof\n",
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" </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",
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" <strong>Comm: </strong> tcp://127.0.0.1:60217\n",
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" </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",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:60219/status\" target=\"_blank\">http://127.0.0.1:60219/status</a>\n",
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" </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",
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" <strong>Nanny: </strong> tcp://127.0.0.1:60183\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-amu1evk8\n",
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" </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": [
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"<Client: 'tcp://127.0.0.1:60175' processes=6 threads=60, memory=55.88 GiB>"
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]
},
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"execution_count": 3,
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"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"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Set global path for experiment"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
"outputs": [],
"source": [
"groupList = [\n",
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
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" \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\",\n",
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"]\n",
"\n",
"dskey = {\n",
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_1\",\n",
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" \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
" \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_3\",\n",
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"}\n"
]
},
{
"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
"outputs": [],
"source": [
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"img_dir = '//DyLabNAS/Data/'\n",
"SequenceName = \"Repetition_scan\" + \"/\"\n",
"folderPath = img_dir + SequenceName + '2023/' + get_date()"
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]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"# An example for one experimental run"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the data"
]
},
{
"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3, x: 1200, y: 1920)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
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" atoms (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" background (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" dark (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" shotNum (final_amp, runs) int64 dask.array<chunksize=(11, 3), meta=np.ndarray>\n",
" OD (final_amp, runs, x, y) float64 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
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"Attributes: (12/96)\n",
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" TOF_free: 0.01\n",
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" 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",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
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" final_amp: [3.00e-05 5.50e-05 8.00e-05 1.05e-04 1...\n",
" runs: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1...\n",
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" scanAxis: ['final_amp' 'runs']\n",
" scanAxisLength: [33. 33.]</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-29af0f9b-7271-4d01-9e66-a34c24e8cf49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29af0f9b-7271-4d01-9e66-a34c24e8cf49' 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'>final_amp</span>: 11</li><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-4a4f064b-57de-4728-8d7c-71800401219f' class='xr-section-summary-in' type='checkbox' checked><label for='section-4a4f064b-57de-4728-8d7c-71800401219f' class='xr-section-summary' >Coordinates: <span>(2)</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'>final_amp</span></div><div class='xr-var-dims'>(final_amp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3e-05 5.5e-05 ... 0.000255 0.00028</div><input id='attrs-ceb39962-d619-4976-80af-18f8245111c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceb39962-d619-4976-80af-18f8245111c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85fa23c0-909e-434e-8a28-799811fa2e27' class='xr-var-data-in' type='checkbox'><label for='data-85fa23c0-909e-434e-8a28-799811fa2e27' 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([3.00e-05, 5.50e-05, 8.00e-05, 1.05e-04, 1.30e-04, 1.55e-04, 1.80e-04,\n",
" 2.05e-04, 2.30e-04, 2.55e-04, 2.80e-04])</pre></div></li><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-a8f3f0cb-356a-43de-9b23-9fbbce786ebd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8f3f0cb-356a-43de-9b23-9fbbce786ebd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc936a9b-9aad-4417-973b-6cee62f9fcc0' class='xr-var-data-in' type='checkbox'><label for='data-cc936a9b-9aad-4417-973b-6cee62f9fcc0' 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-810c3ac6-40d9-4025-9a6a-39afadb14961' class='xr-section-summary-in' type='checkbox' checked><label for='section-810c3ac6-40d9-4025-9a6a-39afadb14961' 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'>(final_amp, runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray></div><input id='attrs-72265718-0bd1-44d4-a25b-6adc73d19255' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72265718-0bd1-44d4-a25b-6adc73d19255' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09da925-210d-4f6b-ae91-dc0ee3417f3f' class='xr-var-data-in' type='checkbox'><label for='data-e09da925-210d-4f6b-ae91-dc0ee3417f3f' 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",
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" <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",
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" <td> 145.02 MiB </td>\n",
" <td> 118.65 MiB </td>\n",
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" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
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" <td> (11, 3, 1200, 1920) </td>\n",
" <td> (9, 3, 1200, 1920) </td>\n",
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" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
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" <td colspan=\"2\"> 2 chunks in 104 graph layers </td>\n",
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" </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",
2023-05-08 17:48:53 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-08 17:48:53 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-15 17:05:16 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(final_amp, runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray></div><input id='attrs-861a215a-a96c-4fc5-8cf3-470125476cf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-861a215a-a96c-4fc5-8cf3-470125476cf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1a83874-76a0-45bd-a680-ac877a7b9e55' class='xr-var-data-in' type='checkbox'><label for='data-a1a83874-76a0-45bd-a680-ac877a7b9e55' 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",
2023-05-07 23:41:31 +02:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
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" <th> Chunk </th>\n",
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" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
2023-05-08 17:48:53 +02:00
" <td> 145.02 MiB </td>\n",
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2023-05-07 23:41:31 +02:00
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2023-05-08 17:48:53 +02:00
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2023-05-07 23:41:31 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
2023-05-08 17:48:53 +02:00
" <td colspan=\"2\"> 2 chunks in 104 graph layers </td>\n",
2023-05-07 23:41:31 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
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" </td>\n",
" <td>\n",
2023-05-08 17:48:53 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-08 17:48:53 +02:00
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2023-05-07 23:41:31 +02:00
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2023-05-15 17:05:16 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark</span></div><div class='xr-var-dims'>(final_amp, runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray></div><input id='attrs-5953ba57-5e1f-43d3-b612-963860a02086' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5953ba57-5e1f-43d3-b612-963860a02086' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220c0de6-af26-40ae-810a-49def656a530' class='xr-var-data-in' type='checkbox'><label for='data-220c0de6-af26-40ae-810a-49def656a530' 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",
2023-05-07 23:41:31 +02:00
" <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",
2023-05-08 17:48:53 +02:00
" <td> 145.02 MiB </td>\n",
" <td> 118.65 MiB </td>\n",
2023-05-07 23:41:31 +02:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
2023-05-08 17:48:53 +02:00
" <td> (11, 3, 1200, 1920) </td>\n",
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2023-05-07 23:41:31 +02:00
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
2023-05-08 17:48:53 +02:00
" <td colspan=\"2\"> 2 chunks in 104 graph layers </td>\n",
2023-05-07 23:41:31 +02:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
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" </td>\n",
" <td>\n",
2023-05-08 17:48:53 +02:00
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2023-05-15 17:05:16 +02:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shotNum</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(11, 3), meta=np.ndarray></div><input id='attrs-7186243e-7063-48b4-a153-e4092cacdcb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7186243e-7063-48b4-a153-e4092cacdcb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-991d2df8-540a-4f40-96e8-e563db917ce1' class='xr-var-data-in' type='checkbox'><label for='data-991d2df8-540a-4f40-96e8-e563db917ce1' 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'><table>\n",
2023-05-08 17:48:53 +02:00
" <tr>\n",
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" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
" </tr>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OD</span></div><div class='xr-var-dims'>(final_amp, runs, x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray></div><input id='attrs-9a7e3c45-42b8-44c5-b15b-6642f8a671b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a7e3c45-42b8-44c5-b15b-6642f8a671b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa12fa75-fd21-4aeb-a2f1-8bdcbafdbd1e' class='xr-var-data-in' type='checkbox'><label for='data-fa12fa75-fd21-4aeb-a2f1-8bdcbafdbd1e' 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",
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" <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",
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" <td> 580.08 MiB </td>\n",
" <td> 474.61 MiB </td>\n",
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" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
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" <td> (11, 3, 1200, 1920) </td>\n",
" <td> (9, 3, 1200, 1920) </td>\n",
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" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
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" <td colspan=\"2\"> 2 chunks in 322 graph layers </td>\n",
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" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float64 numpy.ndarray </td>\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-b1e43aa5-51d9-446e-8c9f-8609f05308fa' class='xr-section-summary-in' type='checkbox' ><label for='section-b1e43aa5-51d9-446e-8c9f-8609f05308fa' class='xr-section-summary' >Indexes: <span>(2)</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>final_amp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d3d656b-e3ce-4c9d-8457-65c6a6a6ec33' class='xr-index-data-in' type='checkbox'/><label for='index-6d3d656b-e3ce-4c9d-8457-65c6a6a6ec33' 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([ 3e-05, 5.5e-05, 8e-05, 0.000105, 0.00013, 0.000155,\n",
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" 0.00018, 0.000205, 0.00023, 0.000255, 0.00028],\n",
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" dtype='float64', name='final_amp'))</pre></div></li><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-940f06f5-5378-40f9-81fa-5f9f5fe65af7' class='xr-index-data-in' type='checkbox'/><label for='index-940f06f5-5378-40f9-81fa-5f9f5fe65af7' 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='float64', name='runs'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afb100e2-c865-4042-b384-0d73e069d323' class='xr-section-summary-in' type='checkbox' ><label for='section-afb100e2-c865-4042-b384-0d73e069d323' 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>0.01</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>0.285</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>1</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_value :</span></dt><dd>1.0</dd><dt><span>evap_3_rate_constant_1 :</span></dt><dd>-0.879</dd><dt><span>evap_3_rate_constant_2 :</span></dt><dd>-0.297</dd><dt><span>final_freq :</span></dt><dd>104</dd><dt><span>gradCoil_current :</span></dt><dd>0.18</dd><dt><span>gradCoil_current_sg :</span></dt><dd>0</dd>
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" 2.30e-04 2.55e-04 2.80e-04 3.00e-05 5.50e-05 8.00e-05 1.05e-04 1.30e-04\n",
" 1.55e-04 1.80e-04 2.05e-04 2.30e-04 2.55e-04 2.80e-04 3.00e-05 5.50e-05\n",
" 8.00e-05 1.05e-04 1.30e-04 1.55e-04 1.80e-04 2.05e-04 2.30e-04 2.55e-04\n",
" 2.80e-04]</dd><dt><span>runs :</span></dt><dd>[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 2. 2.\n",
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" 2. 2. 2. 2. 2. 2. 2. 2. 2.]</dd><dt><span>scanAxis :</span></dt><dd>['final_amp' 'runs']</dd><dt><span>scanAxisLength :</span></dt><dd>[33. 33.]</dd></dl></div></li></ul></div></div>"
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],
"text/plain": [
"<xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3, x: 1200, y: 1920)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
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" atoms (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" background (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" dark (final_amp, runs, x, y) uint16 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
" shotNum (final_amp, runs) int64 dask.array<chunksize=(11, 3), meta=np.ndarray>\n",
" OD (final_amp, runs, x, y) float64 dask.array<chunksize=(9, 3, 1200, 1920), meta=np.ndarray>\n",
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"Attributes: (12/96)\n",
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" TOF_free: 0.01\n",
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" 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",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
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" final_amp: [3.00e-05 5.50e-05 8.00e-05 1.05e-04 1...\n",
" runs: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1...\n",
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" scanAxis: ['final_amp' 'runs']\n",
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" scanAxisLength: [33. 33.]"
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]
},
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"execution_count": 6,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shotNum = \"0000\"\n",
"filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n",
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"filePath = \"//DyLabNAS/Data/Repetition_scan/2023/04/21/0002/*.h5\"\n",
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"\n",
"dataSetDict = {\n",
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" dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n",
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" for i in range(len(groupList))\n",
"}\n",
"\n",
"dataSet = dataSetDict[\"camera_1\"]\n",
"\n",
"scanAxis = get_scanAxis(dataSet)\n",
"\n",
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"dataSet = auto_rechunk(dataSet)\n",
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"\n",
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
"\n",
"dataSet"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculate an plot OD images"
]
},
{
"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
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"<Figure size 3400x900 with 34 Axes>"
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]
},
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"metadata": {},
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"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()"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Do a 2D two-peak gaussian fit to the OD images"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Do the fit"
]
},
{
"cell_type": "code",
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"execution_count": 8,
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"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",
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"execution_count": 9,
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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"<xarray.plot.facetgrid.FacetGrid at 0x1f64f895a00>"
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]
},
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"execution_count": 9,
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"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
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"<Figure size 3400x900 with 34 Axes>"
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]
},
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"metadata": {},
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"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])"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the result of the fit"
]
},
{
"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
"outputs": [
{
"data": {
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" --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'><xarray.Dataset>\n",
2023-05-08 17:48:53 +02:00
"Dimensions: (final_amp: 11, runs: 3)\n",
2023-05-07 23:41:31 +02:00
"Coordinates:\n",
2023-05-08 17:48:53 +02:00
" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
2023-05-07 23:41:31 +02:00
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
2023-05-08 17:48:53 +02:00
" A_amplitude (final_amp, runs) float64 7.389 0.6514 2.918 ... -2.518 3.549\n",
" A_centerx (final_amp, runs) float64 5.522 95.78 43.32 ... 41.19 70.74\n",
" A_centery (final_amp, runs) float64 36.45 63.99 43.59 ... 31.02 22.72\n",
" A_sigmax (final_amp, runs) float64 2.715 2.318 8.417 ... 1.901 6.007\n",
" A_sigmay (final_amp, runs) float64 18.7 0.4659 0.2433 ... 5.352 4.693\n",
" B_amplitude (final_amp, runs) float64 -1.332e+03 -5.867 ... 186.6 -94.97\n",
" B_centerx (final_amp, runs) float64 -62.62 85.42 87.56 ... -80.55 -52.57\n",
" B_centery (final_amp, runs) float64 145.8 79.83 18.89 ... 101.4 74.86\n",
" B_sigmax (final_amp, runs) float64 120.4 30.64 91.5 ... 26.64 116.1\n",
" B_sigmay (final_amp, runs) float64 119.6 2.057 11.05 ... 99.89 49.72\n",
2023-05-15 17:05:16 +02:00
" delta (final_amp, runs) float64 -117.7 -28.32 ... -24.74 -110.1</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-f30e8e83-d02f-4895-91b3-2ca8c06fc46e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f30e8e83-d02f-4895-91b3-2ca8c06fc46e' 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'>final_amp</span>: 11</li><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-069a3fde-88eb-4bf7-b24a-66ce0351d085' class='xr-section-summary-in' type='checkbox' checked><label for='section-069a3fde-88eb-4bf7-b24a-66ce0351d085' class='xr-section-summary' >Coordinates: <span>(2)</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'>final_amp</span></div><div class='xr-var-dims'>(final_amp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3e-05 5.5e-05 ... 0.000255 0.00028</div><input id='attrs-6202bd71-cbb6-437e-abc4-cdd7c15f83e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6202bd71-cbb6-437e-abc4-cdd7c15f83e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a6792f8-ab78-42cf-a230-6ffe2e530aba' class='xr-var-data-in' type='checkbox'><label for='data-2a6792f8-ab78-42cf-a230-6ffe2e530aba' 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([3.00e-05, 5.50e-05, 8.00e-05, 1.05e-04, 1.30e-04, 1.55e-04, 1.80e-04,\n",
" 2.05e-04, 2.30e-04, 2.55e-04, 2.80e-04])</pre></div></li><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-66f51682-bf9b-4ded-bf16-879f2ed586bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66f51682-bf9b-4ded-bf16-879f2ed586bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79eb7af9-98d0-4793-8ee1-965759f0e93c' class='xr-var-data-in' type='checkbox'><label for='data-79eb7af9-98d0-4793-8ee1-965759f0e93c' 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-0f6c09d0-a853-4c7e-bcd3-c3f125951e18' class='xr-section-summary-in' type='checkbox' checked><label for='section-0f6c09d0-a853-4c7e-bcd3-c3f125951e18' 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'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.389 0.6514 2.918 ... -2.518 3.549</div><input id='attrs-2893d19a-314d-411f-8800-caa7e3783904' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2893d19a-314d-411f-8800-caa7e3783904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ad97782-7f3b-4b2f-856d-70ef32a175d9' class='xr-var-data-in' type='checkbox'><label for='data-7ad97782-7f3b-4b2f-856d-70ef32a175d9' 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([[ 7.38878143e+00, 6.51441261e-01, 2.91846648e+00],\n",
2023-05-08 17:48:53 +02:00
" [-9.03318189e+00, 8.45240961e+02, -1.97161600e+02],\n",
" [-2.66859778e+02, 5.60156835e+01, 9.79669679e-01],\n",
" [ 2.00997350e+03, 2.72583409e+00, 6.31530169e+00],\n",
" [ 3.12968837e+00, -2.37283803e+01, -4.42633395e+02],\n",
" [-5.70900563e+01, -3.61031120e+01, -5.45081809e+00],\n",
" [ 8.89916795e-01, -3.34582911e+02, 3.77987662e+00],\n",
" [ 5.22099436e+02, -4.91942382e+01, 5.62624167e+00],\n",
" [ 2.86146334e+00, -2.31130773e+02, -4.98598344e+01],\n",
" [-1.36408773e+01, 2.52822506e+00, -2.25096870e+02],\n",
2023-05-15 17:05:16 +02:00
" [ 1.13895057e+00, -2.51834756e+00, 3.54941583e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.522 95.78 43.32 ... 41.19 70.74</div><input id='attrs-35d42caf-6a55-4fb6-aa05-c88454efc59c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35d42caf-6a55-4fb6-aa05-c88454efc59c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3085137b-4bd6-4331-ada0-01deef21fa3d' class='xr-var-data-in' type='checkbox'><label for='data-3085137b-4bd6-4331-ada0-01deef21fa3d' 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([[ 5.52238841, 95.77931406, 43.32053024],\n",
2023-05-08 17:48:53 +02:00
" [ 44.76716959, 198.36630473, 50.23971278],\n",
" [ 53.06040686, 5.43251904, 97.42242006],\n",
" [130.58981805, 70.85550593, 82.83247069],\n",
" [ 7.93135191, 70.0859901 , 35.00180108],\n",
" [151.3041227 , 112.72447887, 31.63065966],\n",
" [ 93.53632224, 28.74342429, 22.39247894],\n",
" [ 10.47916337, 95.02969504, -29.63406231],\n",
" [ 43.91203661, 102.04481505, 28.7978153 ],\n",
" [ 24.85431326, 12.96109935, 40.22088989],\n",
2023-05-15 17:05:16 +02:00
" [ 75.13444987, 41.19378883, 70.73709982]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.45 63.99 43.59 ... 31.02 22.72</div><input id='attrs-61cce37b-82b8-4939-b24f-3bbe2d93cd81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61cce37b-82b8-4939-b24f-3bbe2d93cd81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9ef5b77-516f-4237-bfb9-256cd36fa837' class='xr-var-data-in' type='checkbox'><label for='data-a9ef5b77-516f-4237-bfb9-256cd36fa837' 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([[ 36.45020121, 63.99355162, 43.59295659],\n",
2023-05-08 17:48:53 +02:00
" [ 67.90013458, 10.59246497, -11.25113607],\n",
" [ 75.28143324, 53.54685556, 31.09823532],\n",
" [ 89.76565337, 23.15286677, 16.13528487],\n",
" [ 53.98843733, 34.3550975 , -239.4355355 ],\n",
" [ 72.41786962, 54.76260945, 42.10595874],\n",
" [ 1.36465897, -212.64391737, 24.09884546],\n",
" [ 68.73061997, 25.75457235, 17.4592955 ],\n",
" [ 3.55977528, 69.94097228, -82.91624529],\n",
" [ -27.13913076, 43.95491898, -49.1090511 ],\n",
2023-05-15 17:05:16 +02:00
" [ 96.58968736, 31.02344759, 22.72385517]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.715 2.318 8.417 ... 1.901 6.007</div><input id='attrs-eeb8cd9d-b1b8-46f6-8905-8be0aab723c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eeb8cd9d-b1b8-46f6-8905-8be0aab723c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-510b649d-42d8-461f-916e-e499f4da8a53' class='xr-var-data-in' type='checkbox'><label for='data-510b649d-42d8-461f-916e-e499f4da8a53' 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([[2.71542791e+00, 2.31758866e+00, 8.41727403e+00],\n",
2023-05-08 17:48:53 +02:00
" [4.94962662e+01, 4.10545297e+01, 1.22230228e+01],\n",
" [6.06060019e+01, 8.82314481e+00, 3.07523897e-01],\n",
" [1.61608546e+02, 1.65709638e+00, 3.35998634e+01],\n",
" [3.91401320e+00, 2.63608036e+01, 2.97013778e+01],\n",
" [4.22475453e+01, 8.05982686e+00, 3.27875893e+00],\n",
" [3.10219139e-01, 1.85974368e+01, 1.67741793e+00],\n",
" [6.76962034e-02, 4.28525544e+01, 4.59899683e+01],\n",
" [2.61459744e+00, 4.56798040e+01, 5.43073148e+00],\n",
" [4.68121411e+00, 2.62068250e+00, 6.19939185e+01],\n",
2023-05-15 17:05:16 +02:00
" [1.72596098e+00, 1.90149458e+00, 6.00674952e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.7 0.4659 0.2433 ... 5.352 4.693</div><input id='attrs-63c725d6-7862-465f-a565-a4d1649ce913' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63c725d6-7862-465f-a565-a4d1649ce913' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90646590-5c54-4f87-a899-b532ad05208f' class='xr-var-data-in' type='checkbox'><label for='data-90646590-5c54-4f87-a899-b532ad05208f' 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([[1.86959771e+01, 4.65902121e-01, 2.43344069e-01],\n",
2023-05-08 17:48:53 +02:00
" [2.11941891e+00, 3.14061410e+00, 4.58357261e+00],\n",
" [7.66245752e+01, 5.58672547e+00, 2.64524846e+00],\n",
" [1.03018231e+01, 5.16271846e+00, 2.62849526e+00],\n",
" [1.64209027e+00, 1.08650680e+01, 3.19047554e+02],\n",
" [6.41195127e+00, 3.86901371e+00, 1.05707951e+01],\n",
" [3.09577317e-01, 1.96437242e+02, 7.13207261e+00],\n",
" [1.66394325e+00, 2.90458927e+01, 8.65777431e-04],\n",
" [5.47245436e+00, 1.82091858e+01, 1.01797800e+02],\n",
" [8.76220794e+01, 1.66359667e+00, 7.04025160e+01],\n",
2023-05-15 17:05:16 +02:00
" [3.48129943e-01, 5.35178910e+00, 4.69315803e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.332e+03 -5.867 ... 186.6 -94.97</div><input id='attrs-dfd006d9-bb2c-4a9a-9b87-39f936c9e3cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dfd006d9-bb2c-4a9a-9b87-39f936c9e3cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5294da2-f231-479b-97c2-46f07af37638' class='xr-var-data-in' type='checkbox'><label for='data-a5294da2-f231-479b-97c2-46f07af37638' 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([[-1.33248998e+03, -5.86734381e+00, 3.61601640e+01],\n",
2023-05-08 17:48:53 +02:00
" [ 3.70699436e+02, 9.01346248e+01, -3.71076169e+02],\n",
" [ 1.86277726e+01, -6.23074333e+01, 2.99884872e+02],\n",
" [-2.46608850e+03, -1.35151907e+02, 8.46039519e+01],\n",
" [ 1.35966158e+03, 5.84884945e+01, 4.99462013e+00],\n",
" [ 1.40766703e+02, -1.94905715e+01, -2.80295786e+01],\n",
" [-3.80701686e+02, -4.05036416e+01, -4.14407053e+00],\n",
" [ 1.00570485e+02, 6.89248550e+00, 7.62729996e+02],\n",
" [ 4.16805389e+01, 2.76997188e+02, -2.34109351e+00],\n",
" [ 2.10044714e+00, 3.60000157e+01, -7.35983021e+01],\n",
2023-05-15 17:05:16 +02:00
" [ 7.11833772e+02, 1.86617356e+02, -9.49730137e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-62.62 85.42 ... -80.55 -52.57</div><input id='attrs-4dc4f6b2-9658-41af-9618-cb359a314e3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dc4f6b2-9658-41af-9618-cb359a314e3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1023457d-c22a-486b-87e1-b6e0f7368ec0' class='xr-var-data-in' type='checkbox'><label for='data-1023457d-c22a-486b-87e1-b6e0f7368ec0' 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([[ -62.62005431, 85.42255409, 87.55814992],\n",
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" [ 346.99239286, -0.79583107, 76.99069272],\n",
" [ 22.49752684, 5.43245367, 58.35719885],\n",
" [ 160.87278241, 94.43144551, 9.86447322],\n",
" [ 104.663483 , 61.19827864, 82.44636571],\n",
" [ 148.04761212, 69.2092979 , 60.39609515],\n",
" [ 53.67662735, 72.20996095, 33.87117565],\n",
" [ 34.36920359, 105.8748868 , 174.1058235 ],\n",
" [ 43.77252817, 123.39928963, 82.26055577],\n",
" [ 12.1854666 , 67.57764308, -4.52700887],\n",
2023-05-15 17:05:16 +02:00
" [-211.30809815, -80.54632856, -52.57324322]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>145.8 79.83 18.89 ... 101.4 74.86</div><input id='attrs-6f71b9df-6f6f-4a57-974a-5bae04c5c1dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f71b9df-6f6f-4a57-974a-5bae04c5c1dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6dbb396-b1d8-4378-85fb-d0a2c8f52219' class='xr-var-data-in' type='checkbox'><label for='data-e6dbb396-b1d8-4378-85fb-d0a2c8f52219' 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([[145.75867403, 79.82723472, 18.88568265],\n",
2023-05-08 17:48:53 +02:00
" [ 86.34200949, 55.23660043, 69.88010265],\n",
" [ 95.88856683, 53.33283178, 98.61264817],\n",
" [ 89.30001598, 43.05235349, 125.80485319],\n",
" [320.22844647, 41.05512678, 10.7182365 ],\n",
" [ -6.57370804, -4.25698118, -4.76933837],\n",
" [ 92.89317484, 86.11438207, 58.77666737],\n",
" [ 61.19718312, 67.52496716, -41.93265044],\n",
" [ 63.19963952, 69.39332953, 95.51399957],\n",
" [ 6.9519317 , 77.43848232, 79.33775891],\n",
2023-05-15 17:05:16 +02:00
" [105.05319145, 101.37738217, 74.85587639]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>120.4 30.64 91.5 ... 26.64 116.1</div><input id='attrs-dc9a46fe-17c2-4c18-b07c-95f6c712b107' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc9a46fe-17c2-4c18-b07c-95f6c712b107' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8de06e69-2297-442c-a29a-3121c4512ccd' class='xr-var-data-in' type='checkbox'><label for='data-8de06e69-2297-442c-a29a-3121c4512ccd' 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([[120.43188054, 30.63553542, 91.49768413],\n",
2023-05-08 17:48:53 +02:00
" [ 50.21640192, 91.3038273 , 118.70038503],\n",
" [ 60.60701672, 9.90464967, 65.8712313 ],\n",
" [203.08976183, 60.20058096, 33.62480116],\n",
" [ 94.66292225, 31.61614109, 29.71233659],\n",
" [ 56.24214347, 8.0604399 , 3.79410329],\n",
" [ 86.18977698, 28.82656277, 7.38692223],\n",
" [ 36.70462254, 42.85262102, 97.08939314],\n",
" [ 61.49482753, 55.58770237, 5.43073672],\n",
" [ 4.68326299, 32.91318551, 61.99392608],\n",
2023-05-15 17:05:16 +02:00
" [152.50345988, 26.64054911, 116.10844362]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>119.6 2.057 11.05 ... 99.89 49.72</div><input id='attrs-b02ce884-5ecd-4ef6-9931-ed30711bfe12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b02ce884-5ecd-4ef6-9931-ed30711bfe12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2c681bb-f7e6-46f2-8d5e-8a6c7738d077' class='xr-var-data-in' type='checkbox'><label for='data-b2c681bb-f7e6-46f2-8d5e-8a6c7738d077' 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([[119.60398423, 2.05655295, 11.054916 ],\n",
2023-05-08 17:48:53 +02:00
" [ 82.9261578 , 24.44828626, 53.75886101],\n",
" [ 7.74618536, 6.24208693, 118.44968533],\n",
" [ 9.49268832, 39.579977 , 52.62582806],\n",
" [174.10832863, 29.91707118, 1.05247579],\n",
" [ 6.65722248, 50.22086078, 0.36791944],\n",
" [103.59043082, 43.69096789, 9.28817993],\n",
" [ 47.2106083 , 0.30582766, 76.16596251],\n",
" [ 20.99102755, 15.53602585, 1.21968523],\n",
" [ 3.7095286 , 41.76761592, 23.65533151],\n",
2023-05-15 17:05:16 +02:00
" [ 45.65967 , 99.89027885, 49.72348227]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-117.7 -28.32 ... -24.74 -110.1</div><input id='attrs-02bf77b7-706f-4a38-81ba-8f3fe2b74ffe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02bf77b7-706f-4a38-81ba-8f3fe2b74ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c142fdee-f08e-4e4d-a2e8-0f558fc30897' class='xr-var-data-in' type='checkbox'><label for='data-c142fdee-f08e-4e4d-a2e8-0f558fc30897' 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([[-1.17716453e+02, -2.83179468e+01, -8.30804101e+01],\n",
2023-05-08 17:48:53 +02:00
" [-7.20135716e-01, -5.02492976e+01, -1.06477362e+02],\n",
" [-1.01477516e-03, -1.08150486e+00, -6.55637074e+01],\n",
" [-4.14812159e+01, -5.85434846e+01, -2.49377597e-02],\n",
" [-9.07489091e+01, -5.25533751e+00, -1.09587852e-02],\n",
" [-1.39945982e+01, -6.13036782e-04, -5.15344363e-01],\n",
" [-8.58795578e+01, -1.02291260e+01, -5.70950430e+00],\n",
" [-3.66369263e+01, -6.65962550e-05, -5.10994248e+01],\n",
" [-5.88802301e+01, -9.90789832e+00, -5.23915032e-06],\n",
" [-2.04887849e-03, -3.02925030e+01, -7.59831805e-06],\n",
2023-05-15 17:05:16 +02:00
" [-1.50777499e+02, -2.47390545e+01, -1.10101694e+02]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81f3b367-3b8f-41e3-87b9-eac62284f1f6' class='xr-section-summary-in' type='checkbox' ><label for='section-81f3b367-3b8f-41e3-87b9-eac62284f1f6' class='xr-section-summary' >Indexes: <span>(2)</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>final_amp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b48ae7e-26dd-42ae-986a-4ffb78603f45' class='xr-index-data-in' type='checkbox'/><label for='index-2b48ae7e-26dd-42ae-986a-4ffb78603f45' 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([ 3e-05, 5.5e-05, 8e-05, 0.000105, 0.00013, 0.000155,\n",
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" 0.00018, 0.000205, 0.00023, 0.000255, 0.00028],\n",
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" dtype='float64', name='final_amp'))</pre></div></li><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-b01f20fe-0c2e-42df-9162-bd35e18ab513' class='xr-index-data-in' type='checkbox'/><label for='index-b01f20fe-0c2e-42df-9162-bd35e18ab513' 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='float64', name='runs'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-766c1a2d-82b5-44c0-9277-e435e5a3f0b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-766c1a2d-82b5-44c0-9277-e435e5a3f0b3' 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>"
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],
"text/plain": [
"<xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
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" A_amplitude (final_amp, runs) float64 7.389 0.6514 2.918 ... -2.518 3.549\n",
" A_centerx (final_amp, runs) float64 5.522 95.78 43.32 ... 41.19 70.74\n",
" A_centery (final_amp, runs) float64 36.45 63.99 43.59 ... 31.02 22.72\n",
" A_sigmax (final_amp, runs) float64 2.715 2.318 8.417 ... 1.901 6.007\n",
" A_sigmay (final_amp, runs) float64 18.7 0.4659 0.2433 ... 5.352 4.693\n",
" B_amplitude (final_amp, runs) float64 -1.332e+03 -5.867 ... 186.6 -94.97\n",
" B_centerx (final_amp, runs) float64 -62.62 85.42 87.56 ... -80.55 -52.57\n",
" B_centery (final_amp, runs) float64 145.8 79.83 18.89 ... 101.4 74.86\n",
" B_sigmax (final_amp, runs) float64 120.4 30.64 91.5 ... 26.64 116.1\n",
" B_sigmay (final_amp, runs) float64 119.6 2.057 11.05 ... 99.89 49.72\n",
" delta (final_amp, runs) float64 -117.7 -28.32 ... -24.74 -110.1"
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]
},
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"execution_count": 10,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_value(fitResult)"
]
},
{
"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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" vertical-align: middle;\n",
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"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
2023-05-08 17:48:53 +02:00
"Dimensions: (final_amp: 11, runs: 3)\n",
2023-05-07 23:41:31 +02:00
"Coordinates:\n",
2023-05-08 17:48:53 +02:00
" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
2023-05-07 23:41:31 +02:00
" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
2023-05-08 17:48:53 +02:00
" A_amplitude (final_amp, runs) float64 3.417 0.3964 3.144e+05 ... 0.99 1.785\n",
" A_centerx (final_amp, runs) float64 0.8112 1.075 3.288 ... 0.7478 2.814\n",
" A_centery (final_amp, runs) float64 6.057 0.4854 ... 2.086 2.182\n",
" A_sigmax (final_amp, runs) float64 0.9314 1.173 3.294 ... 0.7483 2.864\n",
" A_sigmay (final_amp, runs) float64 6.576 0.2286 8.649e+03 ... 2.088 2.22\n",
" B_amplitude (final_amp, runs) float64 6.054e+03 6.17 ... 1.299e+03\n",
" B_centerx (final_amp, runs) float64 475.1 36.46 ... 1.294e+05 1.611e+03\n",
" B_centery (final_amp, runs) float64 342.8 0.9901 ... 3.967e+04 76.89\n",
" B_sigmax (final_amp, runs) float64 255.8 30.52 285.1 ... 1.969e+04 956.2\n",
" B_sigmay (final_amp, runs) float64 221.4 0.9901 ... 3.959e+04 86.02\n",
2023-05-15 17:05:16 +02:00
" delta (final_amp, runs) float64 255.5 30.55 285.1 ... 1.969e+04 956.2</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-9c93d8c0-17da-40a4-a598-1e0bc5305fee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c93d8c0-17da-40a4-a598-1e0bc5305fee' 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'>final_amp</span>: 11</li><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-8143f27e-1a91-437a-921c-00f9d3d1f53a' class='xr-section-summary-in' type='checkbox' checked><label for='section-8143f27e-1a91-437a-921c-00f9d3d1f53a' class='xr-section-summary' >Coordinates: <span>(2)</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'>final_amp</span></div><div class='xr-var-dims'>(final_amp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3e-05 5.5e-05 ... 0.000255 0.00028</div><input id='attrs-bc3c0b14-c328-4c30-bd56-031d8a33cda4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc3c0b14-c328-4c30-bd56-031d8a33cda4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a54718a-5eb5-47da-aa06-923098e5c887' class='xr-var-data-in' type='checkbox'><label for='data-6a54718a-5eb5-47da-aa06-923098e5c887' 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([3.00e-05, 5.50e-05, 8.00e-05, 1.05e-04, 1.30e-04, 1.55e-04, 1.80e-04,\n",
" 2.05e-04, 2.30e-04, 2.55e-04, 2.80e-04])</pre></div></li><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-0c3326e7-bbf6-4a57-a339-ddf210a5f6e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c3326e7-bbf6-4a57-a339-ddf210a5f6e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47019a42-353a-45af-a7a1-09d292327209' class='xr-var-data-in' type='checkbox'><label for='data-47019a42-353a-45af-a7a1-09d292327209' 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-b67e9a0a-fb64-4fce-a6a7-2d4393a747c0' class='xr-section-summary-in' type='checkbox' checked><label for='section-b67e9a0a-fb64-4fce-a6a7-2d4393a747c0' 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'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.417 0.3964 ... 0.99 1.785</div><input id='attrs-176497ea-6541-435b-9b88-dd233f4d988b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-176497ea-6541-435b-9b88-dd233f4d988b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9c315da-a0de-4385-a652-75c22c782174' class='xr-var-data-in' type='checkbox'><label for='data-c9c315da-a0de-4385-a652-75c22c782174' 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([[3.41684237e+00, 3.96433456e-01, 3.14410220e+05],\n",
2023-05-08 17:48:53 +02:00
" [7.51765042e+00, 2.31011577e+04, 1.44180301e+04],\n",
" [4.48791617e+02, 2.67104170e+03, 2.24160119e+02],\n",
" [2.86528716e+05, 9.55608790e-01, 7.15789776e+00],\n",
" [8.43475755e-01, 2.23142548e+01, 1.96220228e+04],\n",
" [6.48340869e+02, 8.03384530e+02, nan],\n",
" [3.01937031e+02, 7.06909275e+03, 1.06334247e+00],\n",
" [6.57862794e+10, 5.83965880e+01, nan],\n",
" [1.94976164e+00, 1.34131756e+04, 5.63610325e+02],\n",
" [1.50150611e+02, 6.75592479e-01, 5.54658725e+03],\n",
2023-05-15 17:05:16 +02:00
" [2.83919667e+01, 9.89991954e-01, 1.78487833e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8112 1.075 3.288 ... 0.7478 2.814</div><input id='attrs-7e5bc06e-f932-49fd-bcba-38f27a793954' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e5bc06e-f932-49fd-bcba-38f27a793954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4d7a64c-a714-4fc6-9029-eeba95cf7ce5' class='xr-var-data-in' type='checkbox'><label for='data-d4d7a64c-a714-4fc6-9029-eeba95cf7ce5' 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([[8.11230451e-01, 1.07486585e+00, 3.28801222e+00],\n",
2023-05-08 17:48:53 +02:00
" [2.70449913e+01, 7.26782786e+02, 6.77870107e+00],\n",
" [1.31066364e+01, 7.44385582e+00, 2.80948517e+01],\n",
" [1.76460868e+03, 5.55201071e-01, 4.06836914e+01],\n",
" [1.01416406e+00, 1.20223811e+01, 8.89831522e+00],\n",
" [4.28913980e+02, 1.42054707e+02, nan],\n",
" [1.59547395e+01, 8.41369261e+00, 4.69886802e-01],\n",
" [7.95083689e+06, 5.57048840e+01, nan],\n",
" [1.12865768e+00, 4.09765165e+02, 2.21006485e+00],\n",
" [4.10972410e+00, 6.91492278e-01, 4.18611510e+01],\n",
2023-05-15 17:05:16 +02:00
" [5.12868462e-01, 7.47764615e-01, 2.81448877e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.057 0.4854 ... 2.086 2.182</div><input id='attrs-34e347a4-88a4-41fb-9b59-be9e21ab4079' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34e347a4-88a4-41fb-9b59-be9e21ab4079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a78051d9-5529-45cb-9f0a-69d08fc5d9c2' class='xr-var-data-in' type='checkbox'><label for='data-a78051d9-5529-45cb-9f0a-69d08fc5d9c2' 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([[6.05681652e+00, 4.85411724e-01, 6.62274153e+03],\n",
2023-05-08 17:48:53 +02:00
" [7.89634259e-01, 7.27178802e-01, 2.17420450e+02],\n",
" [1.05098738e+02, 4.61687237e+00, 1.29072681e+00],\n",
" [3.65244660e+01, 1.72270504e+00, 1.35993662e+00],\n",
" [4.22695991e-01, 3.27194918e+00, 1.41286507e+04],\n",
" [2.82876789e+00, 1.81320237e+00, nan],\n",
" [2.10286785e+01, 4.38024684e+03, 2.00602533e+00],\n",
" [3.84335527e+07, 1.30735790e+01, nan],\n",
" [4.02211196e+00, 2.13136473e+01, 1.15992206e+03],\n",
" [9.93346758e+02, 4.37934298e-01, 1.69391884e+03],\n",
2023-05-15 17:05:16 +02:00
" [4.52232405e+00, 2.08553394e+00, 2.18177865e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9314 1.173 3.294 ... 0.7483 2.864</div><input id='attrs-c079a709-e585-44c2-acd6-2eb98056bc64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c079a709-e585-44c2-acd6-2eb98056bc64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f768e73-8c75-40b3-aaee-c92e40574890' class='xr-var-data-in' type='checkbox'><label for='data-0f768e73-8c75-40b3-aaee-c92e40574890' 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([[9.31359154e-01, 1.17261387e+00, 3.29424472e+00],\n",
2023-05-08 17:48:53 +02:00
" [3.24693002e+03, 1.32902497e+02, 6.91579514e+00],\n",
" [6.96900025e+01, 2.42165039e+01, 5.38293042e+01],\n",
" [2.39184502e+03, 5.62279645e-01, 7.56198889e+01],\n",
" [1.04623464e+00, 1.18450000e+01, 9.91701431e+00],\n",
" [1.25109661e+02, 1.04397693e+01, nan],\n",
" [6.74742386e+01, 7.80111444e+00, 4.69925445e-01],\n",
" [1.11283093e+06, 1.10168973e+02, nan],\n",
" [1.12957584e+00, 2.14030258e+02, 4.12292487e+00],\n",
" [1.41102084e+01, 6.93796430e-01, 1.04511835e+02],\n",
2023-05-15 17:05:16 +02:00
" [5.14025148e-01, 7.48344913e-01, 2.86394184e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.576 0.2286 ... 2.088 2.22</div><input id='attrs-88713e6b-0826-4506-8fd5-c694c56a5964' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88713e6b-0826-4506-8fd5-c694c56a5964' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-567cb0e3-ce1d-4575-9517-061962139116' class='xr-var-data-in' type='checkbox'><label for='data-567cb0e3-ce1d-4575-9517-061962139116' 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([[6.57588000e+00, 2.28551027e-01, 8.64904922e+03],\n",
2023-05-08 17:48:53 +02:00
" [7.96227678e-01, 7.35655631e-01, 3.99962706e+01],\n",
" [1.08892038e+02, 1.43069936e+01, 1.29432040e+00],\n",
" [6.03002919e+01, 1.73709580e+00, 1.37615015e+00],\n",
" [4.26874566e-01, 4.84623303e+00, 7.82619483e+03],\n",
" [2.82854729e+00, 1.81336343e+00, nan],\n",
" [2.38740998e+01, 1.80745154e+03, 2.00949065e+00],\n",
" [4.05227029e+07, 1.43325275e+01, nan],\n",
" [4.01178401e+00, 8.09972136e+01, 4.75099519e+02],\n",
" [6.02287949e+02, 4.39451148e-01, 1.02027426e+03],\n",
2023-05-15 17:05:16 +02:00
" [8.77335322e+00, 2.08752336e+00, 2.21996178e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.054e+03 6.17 ... 1.299e+03</div><input id='attrs-8e90b254-48f9-473b-b4ab-adf2e8a8339c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e90b254-48f9-473b-b4ab-adf2e8a8339c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-050a1507-ddd7-46a3-a66a-2912ffc29d56' class='xr-var-data-in' type='checkbox'><label for='data-050a1507-ddd7-46a3-a66a-2912ffc29d56' 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([[6.05427933e+03, 6.16982719e+00, 1.19228924e+02],\n",
2023-05-08 17:48:53 +02:00
" [7.51490794e+08, 2.22019642e+02, 5.97823594e+02],\n",
" [5.64598145e+01, 2.67128474e+03, 8.01492462e+02],\n",
" [2.83905987e+05, 1.12461076e+02, 3.36563739e+02],\n",
" [2.93402580e+04, 2.48657357e+01, 3.80182290e+00],\n",
" [1.36520500e+03, 4.73237799e+01, nan],\n",
" [7.84583202e+02, 1.01868219e+02, 2.55204955e+00],\n",
" [3.47984622e+01, 6.91889322e+03, nan],\n",
" [4.20658444e+01, 1.28846956e+04, 7.71147971e-01],\n",
" [1.48262698e+00, 3.41531305e+01, 3.59322248e+02],\n",
2023-05-15 17:05:16 +02:00
" [2.37191263e+04, 1.62583714e+06, 1.29898747e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>475.1 36.46 ... 1.294e+05 1.611e+03</div><input id='attrs-d0235be6-c9ae-4f95-add4-dfe363679082' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0235be6-c9ae-4f95-add4-dfe363679082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ddf66d9-647f-4463-a387-7f27b2ebfd8f' class='xr-var-data-in' type='checkbox'><label for='data-1ddf66d9-647f-4463-a387-7f27b2ebfd8f' 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([[4.75123874e+02, 3.64589662e+01, 2.29740656e+02],\n",
2023-05-08 17:48:53 +02:00
" [3.33890116e+07, 2.00786302e+02, 9.31198860e+01],\n",
" [1.14118124e+02, 9.45505940e+00, 2.30718735e+01],\n",
" [3.87047067e+03, 5.11921101e+01, 3.80931355e+01],\n",
" [2.54645042e+02, 1.06029887e+01, 2.45767267e+01],\n",
" [3.74999075e+02, 3.74548715e+00, nan],\n",
" [3.07820451e+01, 4.00392461e+01, 4.53998829e+00],\n",
" [7.66958337e+00, 1.23353508e+02, nan],\n",
" [3.28242021e+01, 9.74398132e+02, 1.78913346e+00],\n",
" [3.15075259e+00, 1.77906932e+01, 1.43393270e+02],\n",
2023-05-15 17:05:16 +02:00
" [4.51693781e+03, 1.29399031e+05, 1.61094560e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>342.8 0.9901 ... 3.967e+04 76.89</div><input id='attrs-a41c5034-f27a-4144-973e-500e575b3d1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a41c5034-f27a-4144-973e-500e575b3d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c93eeac-f31f-4a73-97b7-f4fdd0fe5681' class='xr-var-data-in' type='checkbox'><label for='data-9c93eeac-f31f-4a73-97b7-f4fdd0fe5681' 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([[3.42847289e+02, 9.90075220e-01, 4.40178906e+00],\n",
2023-05-08 17:48:53 +02:00
" [2.86154884e+07, 6.32684685e+00, 1.49140434e+01],\n",
" [1.05254431e+01, 5.84244397e+00, 2.28181325e+02],\n",
" [2.93118893e+01, 8.12582563e+00, 2.16956846e+02],\n",
" [3.77079266e+03, 8.54273544e+00, 4.07992569e-01],\n",
" [4.46568704e+01, 1.36313833e+02, nan],\n",
" [1.40012390e+02, 5.31984975e+01, 5.71456737e+00],\n",
" [1.11852293e+01, 3.05783397e+01, nan],\n",
" [6.60653502e+00, 1.33400098e+01, 4.01804843e-01],\n",
" [2.29168240e+00, 3.81537921e+01, 1.17465701e+01],\n",
2023-05-15 17:05:16 +02:00
" [9.84691216e+01, 3.96700183e+04, 7.68930903e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>255.8 30.52 ... 1.969e+04 956.2</div><input id='attrs-8fdeb2df-6545-43db-aa05-2893f2256a9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fdeb2df-6545-43db-aa05-2893f2256a9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce2797c-7db0-4efe-a7bb-ad648896c436' class='xr-var-data-in' type='checkbox'><label for='data-6ce2797c-7db0-4efe-a7bb-ad648896c436' 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([[2.55776139e+02, 3.05249743e+01, 2.85083676e+02],\n",
2023-05-08 17:48:53 +02:00
" [3.72931459e+06, 1.91212924e+02, 1.89434455e+02],\n",
" [1.31492336e+02, 2.62530485e+01, 5.02557357e+01],\n",
" [4.42807663e+03, 4.00066700e+01, 2.89571927e+01],\n",
" [2.29713053e+02, 1.10081258e+01, 2.25163695e+01],\n",
" [1.33098231e+02, 3.75908021e+00, nan],\n",
" [9.74704642e+01, 5.36695509e+01, 4.54070803e+00],\n",
" [9.47708873e+00, 6.81909624e+01, nan],\n",
" [7.25213806e+01, 4.14477875e+02, 1.78765892e+00],\n",
" [3.17421229e+00, 2.06282311e+01, 1.02429865e+02],\n",
2023-05-15 17:05:16 +02:00
" [1.35841232e+03, 1.96900019e+04, 9.56215494e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>221.4 0.9901 ... 3.959e+04 86.02</div><input id='attrs-6714907f-0849-44fe-978d-c394ade21d50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6714907f-0849-44fe-978d-c394ade21d50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-995fb94e-aa76-4f1f-86ad-c49157f59038' class='xr-var-data-in' type='checkbox'><label for='data-995fb94e-aa76-4f1f-86ad-c49157f59038' 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([[2.21393776e+02, 9.90075208e-01, 4.73947825e+00],\n",
2023-05-08 17:48:53 +02:00
" [3.35646383e+07, 7.12420392e+00, 2.10269795e+01],\n",
" [1.10243410e+01, 1.61210699e+01, 2.78654317e+02],\n",
" [5.30032481e+01, 1.17473792e+01, 9.79328246e+01],\n",
" [1.28293251e+03, 1.15500268e+01, 4.16937903e-01],\n",
" [1.51598572e+01, 8.26860989e+01, nan],\n",
" [1.70786895e+02, 4.81125511e+01, 5.72469080e+00],\n",
" [1.71739531e+01, 1.86622229e+02, nan],\n",
" [7.11946577e+00, 7.15844888e+01, 4.01915728e-01],\n",
" [2.42072918e+00, 3.71574506e+01, 3.36944263e+01],\n",
2023-05-15 17:05:16 +02:00
" [5.59869620e+01, 3.95897180e+04, 8.60232545e+01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>255.5 30.55 ... 1.969e+04 956.2</div><input id='attrs-219b129f-5c27-47fa-808a-6730089cecff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-219b129f-5c27-47fa-808a-6730089cecff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2fceffc-c0eb-4e0b-b266-257bb57156d7' class='xr-var-data-in' type='checkbox'><label for='data-c2fceffc-c0eb-4e0b-b266-257bb57156d7' 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([[2.55477645e+02, 3.05474741e+01, 2.85089322e+02],\n",
2023-05-08 17:48:53 +02:00
" [3.72606817e+06, 2.28197317e+02, 1.89476775e+02],\n",
" [6.47608141e+01, 4.98415415e+01, 7.57144279e+01],\n",
" [5.90018309e+03, 4.00530705e+01, 5.44827864e+01],\n",
" [2.29787042e+02, 9.97122367e+00, 1.71018087e+01],\n",
" [1.82668857e+02, 1.04942066e+01, nan],\n",
" [1.17526028e+02, 5.64822241e+01, 4.56329729e+00],\n",
" [1.11283120e+06, 4.57011995e+01, nan],\n",
" [7.25260657e+01, 5.95866889e+02, 2.77076632e+00],\n",
" [1.20369499e+01, 2.06838777e+01, 2.40138239e+00],\n",
2023-05-15 17:05:16 +02:00
" [1.35841658e+03, 1.96899706e+04, 9.56211320e+02]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b2e0855-21e2-41c3-a9cf-e064a44c1583' class='xr-section-summary-in' type='checkbox' ><label for='section-9b2e0855-21e2-41c3-a9cf-e064a44c1583' class='xr-section-summary' >Indexes: <span>(2)</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>final_amp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-169dfe1f-31d7-428c-b72b-7a300977aa77' class='xr-index-data-in' type='checkbox'/><label for='index-169dfe1f-31d7-428c-b72b-7a300977aa77' 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([ 3e-05, 5.5e-05, 8e-05, 0.000105, 0.00013, 0.000155,\n",
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" 0.00018, 0.000205, 0.00023, 0.000255, 0.00028],\n",
2023-05-15 17:05:16 +02:00
" dtype='float64', name='final_amp'))</pre></div></li><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-5b5a1a80-9449-4201-8929-87cf9f57673b' class='xr-index-data-in' type='checkbox'/><label for='index-5b5a1a80-9449-4201-8929-87cf9f57673b' 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='float64', name='runs'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-319e108d-307b-42ac-9707-69c717ffb09a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-319e108d-307b-42ac-9707-69c717ffb09a' 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>"
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],
"text/plain": [
"<xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
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" A_amplitude (final_amp, runs) float64 3.417 0.3964 3.144e+05 ... 0.99 1.785\n",
" A_centerx (final_amp, runs) float64 0.8112 1.075 3.288 ... 0.7478 2.814\n",
" A_centery (final_amp, runs) float64 6.057 0.4854 ... 2.086 2.182\n",
" A_sigmax (final_amp, runs) float64 0.9314 1.173 3.294 ... 0.7483 2.864\n",
" A_sigmay (final_amp, runs) float64 6.576 0.2286 8.649e+03 ... 2.088 2.22\n",
" B_amplitude (final_amp, runs) float64 6.054e+03 6.17 ... 1.299e+03\n",
" B_centerx (final_amp, runs) float64 475.1 36.46 ... 1.294e+05 1.611e+03\n",
" B_centery (final_amp, runs) float64 342.8 0.9901 ... 3.967e+04 76.89\n",
" B_sigmax (final_amp, runs) float64 255.8 30.52 285.1 ... 1.969e+04 956.2\n",
" B_sigmay (final_amp, runs) float64 221.4 0.9901 ... 3.959e+04 86.02\n",
" delta (final_amp, runs) float64 255.5 30.55 285.1 ... 1.969e+04 956.2"
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]
},
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"execution_count": 11,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_std(fitResult)"
]
},
{
"cell_type": "code",
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"execution_count": 12,
2023-05-07 23:41:31 +02:00
"metadata": {},
"outputs": [
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{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\data\\AppData\\Roaming\\Python\\Python39\\site-packages\\numpy\\lib\\function_base.py:2246: RuntimeWarning: invalid value encountered in _get_fit_full_result_single (vectorized)\n",
" outputs = ufunc(*inputs)\n"
]
},
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
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" A_amplitude (final_amp, runs) object 7.4+/-3.4 0.7+/-0.4 ... 3.5+/-1.8\n",
" A_centerx (final_amp, runs) object 5.5+/-0.8 95.8+/-1.1 ... 70.7+/-2.8\n",
" A_centery (final_amp, runs) object 36+/-6 64.0+/-0.5 ... 22.7+/-2.2\n",
" A_sigmax (final_amp, runs) object 2.7+/-0.9 2.3+/-1.2 ... 6.0+/-2.9\n",
" A_sigmay (final_amp, runs) object 19+/-7 0.47+/-0.23 ... 4.7+/-2.2\n",
" B_amplitude (final_amp, runs) object (-1+/-6)e+03 ... (-0.1+/-1.3)e+03\n",
" B_centerx (final_amp, runs) object (-1+/-5)e+02 ... (-0.1+/-1.6)e+03\n",
" B_centery (final_amp, runs) object (1.5+/-3.4)e+02 ... (7+/-8)e+01\n",
" B_sigmax (final_amp, runs) object (1.2+/-2.6)e+02 ... (0.1+/-1.0)e+03\n",
" B_sigmay (final_amp, runs) object (1.2+/-2.2)e+02 ... (5+/-9)e+01\n",
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" delta (final_amp, runs) object (-1.2+/-2.6)e+02 ... (-0.1+/-1.0)e+03</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-b0581dbf-6323-4f1b-af38-d1fd6ab47115' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0581dbf-6323-4f1b-af38-d1fd6ab47115' 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'>final_amp</span>: 11</li><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-3e96ba82-4ecc-4b40-8d4b-98e9733981b7' class='xr-section-summary-in' type='checkbox' checked><label for='section-3e96ba82-4ecc-4b40-8d4b-98e9733981b7' class='xr-section-summary' >Coordinates: <span>(2)</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'>final_amp</span></div><div class='xr-var-dims'>(final_amp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3e-05 5.5e-05 ... 0.000255 0.00028</div><input id='attrs-0a242054-8120-49ab-ab10-af71ee33098b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a242054-8120-49ab-ab10-af71ee33098b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99abaf4e-e21c-4b45-b00e-57b0db176026' class='xr-var-data-in' type='checkbox'><label for='data-99abaf4e-e21c-4b45-b00e-57b0db176026' 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([3.00e-05, 5.50e-05, 8.00e-05, 1.05e-04, 1.30e-04, 1.55e-04, 1.80e-04,\n",
" 2.05e-04, 2.30e-04, 2.55e-04, 2.80e-04])</pre></div></li><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-2cb0ab7d-e4de-4560-b771-d857ee61d334' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cb0ab7d-e4de-4560-b771-d857ee61d334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e3826ee-59f2-48a8-9110-5dd311400df3' class='xr-var-data-in' type='checkbox'><label for='data-8e3826ee-59f2-48a8-9110-5dd311400df3' 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-80485446-9a56-434b-b693-24dc5a9062db' class='xr-section-summary-in' type='checkbox' checked><label for='section-80485446-9a56-434b-b693-24dc5a9062db' 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>7.4+/-3.4 0.7+/-0.4 ... 3.5+/-1.8</div><input id='attrs-b656d5f5-fb4c-4378-85a2-3ba1233b5853' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b656d5f5-fb4c-4378-85a2-3ba1233b5853' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a378a7e-4aa7-4bbb-9b22-8c311e7236f3' class='xr-var-data-in' type='checkbox'><label for='data-9a378a7e-4aa7-4bbb-9b22-8c311e7236f3' 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([[7.388781431048817+/-3.4168423723919354,\n",
2023-05-08 17:48:53 +02:00
" 0.6514412607544137+/-0.39643345582367606,\n",
" 2.918466484168341+/-314410.2202930499],\n",
" [-9.033181886227817+/-7.5176504166939715,\n",
" 845.2409613651806+/-23101.15771252133,\n",
" -197.1615995659468+/-14418.030095124599],\n",
" [-266.8597780196361+/-448.7916165941705,\n",
" 56.015683462288834+/-2671.0417002551208,\n",
" 0.9796696793072188+/-224.16011860564723],\n",
" [2009.97349691705+/-286528.71606747276,\n",
" 2.725834088961171+/-0.9556087904274538,\n",
" 6.315301685487764+/-7.157897758219497],\n",
" [3.129688371720763+/-0.8434757545363026,\n",
" -23.728380256217637+/-22.314254771322897,\n",
" -442.63339458599347+/-19622.02278994056],\n",
" [-57.090056253917844+/-648.3408694721667,\n",
" -36.10311197231827+/-803.3845299514359, -5.450818086301128+/-nan],\n",
" [0.8899167946448557+/-301.9370312008733,\n",
" -334.5829108624694+/-7069.092752026533,\n",
" 3.779876619099835+/-1.0633424721886444],\n",
" [522.0994363136709+/-65786279387.20707,\n",
" -49.19423816776992+/-58.39658803029284, 5.626241673536258+/-nan],\n",
" [2.8614633367550133+/-1.9497616399104656,\n",
" -231.13077302774968+/-13413.175625856062,\n",
" -49.85983440828213+/-563.6103250025119],\n",
" [-13.640877265599448+/-150.15061067247396,\n",
" 2.5282250583560937+/-0.6755924787494911,\n",
" -225.0968704471262+/-5546.587249886582],\n",
" [1.138950567058994+/-28.39196667639839,\n",
" -2.5183475607522166+/-0.9899919540812677,\n",
2023-05-15 17:05:16 +02:00
" 3.549415833295486+/-1.7848783281531115]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>5.5+/-0.8 95.8+/-1.1 ... 70.7+/-2.8</div><input id='attrs-49b84f3b-1f34-49c6-a82e-3ab63128e43c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49b84f3b-1f34-49c6-a82e-3ab63128e43c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a995ec7-fd64-4948-b3d5-dcc542531056' class='xr-var-data-in' type='checkbox'><label for='data-0a995ec7-fd64-4948-b3d5-dcc542531056' 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([[5.52238841361343+/-0.8112304505640341,\n",
2023-05-08 17:48:53 +02:00
" 95.77931405892873+/-1.0748658540528286,\n",
" 43.32053023813943+/-3.2880122220484105],\n",
" [44.767169589923+/-27.044991325668192,\n",
" 198.36630472929727+/-726.7827860371206,\n",
" 50.23971277810186+/-6.778701070273324],\n",
" [53.06040686362277+/-13.106636398715246,\n",
" 5.432519039347838+/-7.44385582321541,\n",
" 97.4224200630229+/-28.094851729245516],\n",
" [130.58981805250906+/-1764.6086796865306,\n",
" 70.85550593255361+/-0.5552010713566561,\n",
" 82.83247068728306+/-40.683691398885976],\n",
" [7.931351912046697+/-1.0141640574038067,\n",
" 70.08599010476345+/-12.022381050797733,\n",
" 35.00180107744472+/-8.898315222816134],\n",
" [151.3041227034569+/-428.913980155861,\n",
" 112.72447886736077+/-142.05470710889088,\n",
" 31.630659664101973+/-nan],\n",
" [93.5363222421988+/-15.95473945917447,\n",
" 28.743424286093596+/-8.413692608635593,\n",
" 22.392478936907764+/-0.46988680160705815],\n",
" [10.479163366036385+/-7950836.885717906,\n",
" 95.0296950391332+/-55.704884048277584, -29.63406231010577+/-nan],\n",
" [43.912036609885405+/-1.1286576763725424,\n",
" 102.04481504750743+/-409.7651647437451,\n",
" 28.79781530475115+/-2.210064848930247],\n",
" [24.854313256245153+/-4.109724097815679,\n",
" 12.961099350542353+/-0.6914922775505522,\n",
" 40.220889894510265+/-41.861151030822185],\n",
" [75.13444987399922+/-0.5128684618336584,\n",
" 41.19378883060129+/-0.7477646146998193,\n",
2023-05-15 17:05:16 +02:00
" 70.73709982470771+/-2.8144887719904057]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>36+/-6 64.0+/-0.5 ... 22.7+/-2.2</div><input id='attrs-366a79a9-5ff0-4c4f-8ab7-fb99a6142388' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-366a79a9-5ff0-4c4f-8ab7-fb99a6142388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce8034e4-6281-4e7d-b409-a50aa2792b65' class='xr-var-data-in' type='checkbox'><label for='data-ce8034e4-6281-4e7d-b409-a50aa2792b65' 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([[36.45020121495326+/-6.05681652320084,\n",
2023-05-08 17:48:53 +02:00
" 63.99355162104627+/-0.48541172421585643,\n",
" 43.5929565883272+/-6622.741533489624],\n",
" [67.9001345780397+/-0.7896342590102327,\n",
" 10.592464969998495+/-0.7271788015007264,\n",
" -11.25113606815218+/-217.4204497552138],\n",
" [75.28143324127662+/-105.09873822836055,\n",
" 53.5468555577059+/-4.616872367919432,\n",
" 31.098235318287756+/-1.290726813986894],\n",
" [89.76565336821663+/-36.524465964235084,\n",
" 23.152866770251208+/-1.722705039371369,\n",
" 16.135284869806153+/-1.359936617459735],\n",
" [53.98843733384341+/-0.42269599083784776,\n",
" 34.35509750157966+/-3.27194917524941,\n",
" -239.435535501863+/-14128.650724331674],\n",
" [72.41786962171388+/-2.8287678943084953,\n",
" 54.76260945074282+/-1.813202366785856, 42.10595874114686+/-nan],\n",
" [1.3646589671799856+/-21.028678501538543,\n",
" -212.64391736523558+/-4380.246838500027,\n",
" 24.09884546099475+/-2.0060253316839445],\n",
" [68.7306199717921+/-38433552.67095135,\n",
" 25.754572351151523+/-13.07357901476045, 17.45929549974966+/-nan],\n",
" [3.559775275934984+/-4.02211196139259,\n",
" 69.94097228015139+/-21.31364726280538,\n",
" -82.91624528792264+/-1159.9220612727272],\n",
" [-27.13913075972232+/-993.3467584574698,\n",
" 43.95491898276229+/-0.4379342981096324,\n",
" -49.10905109646434+/-1693.918839205988],\n",
" [96.58968736149134+/-4.522324046430775,\n",
" 31.02344759340835+/-2.0855339377979756,\n",
2023-05-15 17:05:16 +02:00
" 22.723855171786948+/-2.1817786488186344]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2.7+/-0.9 2.3+/-1.2 ... 6.0+/-2.9</div><input id='attrs-f47c67c1-3a1d-4eb7-be0b-f29a396c8155' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f47c67c1-3a1d-4eb7-be0b-f29a396c8155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2cb28a0-ab6e-4888-8fb7-27e7f6e91d46' class='xr-var-data-in' type='checkbox'><label for='data-c2cb28a0-ab6e-4888-8fb7-27e7f6e91d46' 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([[2.7154279126131797+/-0.9313591542419067,\n",
2023-05-08 17:48:53 +02:00
" 2.317588663690316+/-1.1726138697089314,\n",
" 8.417274030043473+/-3.2942447213960797],\n",
" [49.49626619931287+/-3246.930019577376,\n",
" 41.05452969111974+/-132.90249709745424,\n",
" 12.223022843139844+/-6.915795144818567],\n",
" [60.60600194892975+/-69.69000249818941,\n",
" 8.823144813766925+/-24.216503877224508,\n",
" 0.3075238968628895+/-53.82930415020353],\n",
" [161.60854589325524+/-2391.8450204073206,\n",
" 1.6570963750658478+/-0.5622796445313686,\n",
" 33.59986340215835+/-75.61988885588978],\n",
" [3.9140131954555244+/-1.0462346397776237,\n",
" 26.36080358459825+/-11.84499999149955,\n",
" 29.701377803295756+/-9.917014306574426],\n",
" [42.247545278185996+/-125.10966134122995,\n",
" 8.059826862569546+/-10.439769294241904, 3.2787589318751538+/-nan],\n",
" [0.31021913879425256+/-67.47423862403724,\n",
" 18.597436768964503+/-7.801114436976788,\n",
" 1.677417925892808+/-0.4699254451273073],\n",
" [0.06769620335741422+/-1112830.9296530965,\n",
" 42.852554425996836+/-110.16897291458996,\n",
" 45.989968310823315+/-nan],\n",
" [2.6145974401613685+/-1.1295758401174676,\n",
" 45.679804049661215+/-214.03025837339027,\n",
" 5.430731481270875+/-4.122924871530864],\n",
" [4.681214110733072+/-14.110208355453276,\n",
" 2.6206824964850988+/-0.693796430110936,\n",
" 61.99391848391156+/-104.51183497321837],\n",
" [1.7259609773805948+/-0.5140251478647258,\n",
" 1.9014945826023606+/-0.7483449128695058,\n",
2023-05-15 17:05:16 +02:00
" 6.0067495223836715+/-2.8639418446420124]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>19+/-7 0.47+/-0.23 ... 4.7+/-2.2</div><input id='attrs-718ee53c-1e9c-44c9-abfb-b951e4ce0e9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-718ee53c-1e9c-44c9-abfb-b951e4ce0e9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-618c7d78-d798-4a80-9878-e644a3d22e4a' class='xr-var-data-in' type='checkbox'><label for='data-618c7d78-d798-4a80-9878-e644a3d22e4a' 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([[18.695977071308885+/-6.575879998716399,\n",
2023-05-08 17:48:53 +02:00
" 0.46590212070640113+/-0.22855102707197217,\n",
" 0.2433440689606985+/-8649.049222161226],\n",
" [2.119418906574793+/-0.7962276782685768,\n",
" 3.140614100897908+/-0.7356556310510812,\n",
" 4.583572608121855+/-39.99627055321062],\n",
" [76.62457520738381+/-108.89203793260717,\n",
" 5.5867254714437244+/-14.306993575790617,\n",
" 2.645248461158775+/-1.2943203967595924],\n",
" [10.30182307112471+/-60.30029192346579,\n",
" 5.162718455404106+/-1.7370957961799574,\n",
" 2.628495257865717+/-1.3761501518649812],\n",
" [1.6420902710512237+/-0.4268745660361985,\n",
" 10.865067978743575+/-4.846233031600418,\n",
" 319.04755415122906+/-7826.194831764454],\n",
" [6.411951274684304+/-2.8285472936592204,\n",
" 3.869013706109974+/-1.8133634251398816, 10.570795103954751+/-nan],\n",
" [0.30957731714966363+/-23.874099764863082,\n",
" 196.43724194507146+/-1807.4515427503106,\n",
" 7.13207260978767+/-2.009490654486486],\n",
" [1.6639432525858124+/-40522702.91806289,\n",
" 29.045892656021234+/-14.332527514218954,\n",
" 0.0008657774310416588+/-nan],\n",
" [5.47245436484157+/-4.011784007845894,\n",
" 18.20918577400636+/-80.99721358177922,\n",
" 101.79779976546632+/-475.0995194690945],\n",
" [87.62207944984506+/-602.2879485017384,\n",
" 1.6635966701828515+/-0.43945114787523454,\n",
" 70.40251599127863+/-1020.2742614011889],\n",
" [0.3481299434046785+/-8.773353217116663,\n",
" 5.351789104746141+/-2.087523355017598,\n",
2023-05-15 17:05:16 +02:00
" 4.693158030883378+/-2.2199617771078994]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-1+/-6)e+03 ... (-0.1+/-1.3)e+03</div><input id='attrs-5aae03dd-f1cb-4930-b229-5b03c96ea9d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5aae03dd-f1cb-4930-b229-5b03c96ea9d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c684924b-e787-40bf-bc08-2d04e517ec44' class='xr-var-data-in' type='checkbox'><label for='data-c684924b-e787-40bf-bc08-2d04e517ec44' 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([[-1332.4899831018586+/-6054.279330082169,\n",
2023-05-08 17:48:53 +02:00
" -5.867343810560787+/-6.169827192857723,\n",
" 36.16016395297549+/-119.22892400060806],\n",
" [370.69943630519+/-751490793.6969666,\n",
" 90.13462476975569+/-222.01964219259455,\n",
" -371.0761693665391+/-597.8235944670336],\n",
" [18.627772618834776+/-56.45981453600419,\n",
" -62.307433347951324+/-2671.284738214237,\n",
" 299.884871782527+/-801.4924616105519],\n",
" [-2466.088502899453+/-283905.9869674926,\n",
" -135.15190740572515+/-112.46107581504235,\n",
" 84.60395187336847+/-336.5637387347438],\n",
" [1359.6615814138618+/-29340.25797538095,\n",
" 58.4884944505732+/-24.86573574862176,\n",
" 4.994620132626905+/-3.801822896155304],\n",
" [140.7667025458474+/-1365.204998319067,\n",
" -19.49057151333325+/-47.32377988787323, -28.02957860285042+/-nan],\n",
" [-380.701686268467+/-784.5832020209684,\n",
" -40.50364160119228+/-101.86821901028773,\n",
" -4.144070529037875+/-2.552049548537024],\n",
" [100.57048457439147+/-34.79846220384643,\n",
" 6.892485500953216+/-6918.893223872266, 762.7299962737468+/-nan],\n",
" [41.680538940718506+/-42.065844433776704,\n",
" 276.99718762803246+/-12884.695584992809,\n",
" -2.3410935099765524+/-0.7711479705564506],\n",
" [2.1004471428190654+/-1.4826269751922805,\n",
" 36.00001574072317+/-34.15313047265123,\n",
" -73.59830210675905+/-359.32224811156453],\n",
" [711.8337724524412+/-23719.12631594961,\n",
" 186.6173559981411+/-1625837.1365320967,\n",
2023-05-15 17:05:16 +02:00
" -94.97301365691088+/-1298.9874693800991]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-1+/-5)e+02 ... (-0.1+/-1.6)e+03</div><input id='attrs-b46e837a-65f1-4759-8595-f129f2c99efe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b46e837a-65f1-4759-8595-f129f2c99efe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3247e530-fb3d-4c3e-a317-219b01dd6e61' class='xr-var-data-in' type='checkbox'><label for='data-3247e530-fb3d-4c3e-a317-219b01dd6e61' 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([[-62.62005430866469+/-475.12387416012587,\n",
2023-05-08 17:48:53 +02:00
" 85.42255408761247+/-36.45896623050953,\n",
" 87.55814992266252+/-229.7406562596859],\n",
" [346.9923928593631+/-33389011.61501963,\n",
" -0.795831074555511+/-200.78630152910898,\n",
" 76.99069272089079+/-93.11988596598547],\n",
" [22.49752684274676+/-114.11812413313055,\n",
" 5.432453669077549+/-9.455059398807883,\n",
" 58.35719885436117+/-23.071873463821728],\n",
" [160.87278240789982+/-3870.470673109912,\n",
" 94.43144551023957+/-51.19211013678638,\n",
" 9.864473224677814+/-38.09313546508259],\n",
" [104.6634830041547+/-254.64504214911082,\n",
" 61.19827863714712+/-10.602988651480821,\n",
" 82.44636571189304+/-24.57672673014648],\n",
" [148.04761211680594+/-374.9990752932348,\n",
" 69.20929789642244+/-3.7454871455164485, 60.39609515171668+/-nan],\n",
" [53.67662735058865+/-30.782045099355727,\n",
" 72.20996094712304+/-40.039246107472884,\n",
" 33.8711756490752+/-4.539988293259726],\n",
" [34.36920359375801+/-7.6695833716625605,\n",
" 105.87488680085094+/-123.35350823478333,\n",
" 174.10582350007627+/-nan],\n",
" [43.77252816927119+/-32.8242020792292,\n",
" 123.39928962682197+/-974.3981324644909,\n",
" 82.26055577387197+/-1.7891334550160365],\n",
" [12.185466600354482+/-3.150752586291041,\n",
" 67.57764308462525+/-17.790693210330183,\n",
" -4.527008866967552+/-143.39327048868861],\n",
" [-211.30809814837633+/-4516.937805077376,\n",
" -80.54632856135815+/-129399.03095795256,\n",
2023-05-15 17:05:16 +02:00
" -52.57324321992537+/-1610.945604248019]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(1.5+/-3.4)e+02 ... (7+/-8)e+01</div><input id='attrs-2d34b874-ae70-425b-8c2d-e497c92be5b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d34b874-ae70-425b-8c2d-e497c92be5b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdb37ac9-88e6-4c90-8bb7-649b62e3d4d2' class='xr-var-data-in' type='checkbox'><label for='data-cdb37ac9-88e6-4c90-8bb7-649b62e3d4d2' 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([[145.75867403461876+/-342.8472891701321,\n",
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" 79.82723472418978+/-0.9900752195036736,\n",
" 18.885682648207517+/-4.401789056934575],\n",
" [86.34200948845755+/-28615488.445580363,\n",
" 55.23660042620115+/-6.32684685037039,\n",
" 69.88010265057795+/-14.91404336832945],\n",
" [95.88856682785891+/-10.525443067487757,\n",
" 53.332831775321424+/-5.8424439667225405,\n",
" 98.6126481676519+/-228.1813248388415],\n",
" [89.30001598206466+/-29.311889255055288,\n",
" 43.052353488264814+/-8.125825625683834,\n",
" 125.80485318649905+/-216.95684631279838],\n",
" [320.2284464650765+/-3770.7926621649885,\n",
" 41.05512678014725+/-8.542735444079522,\n",
" 10.718236503666992+/-0.40799256903166886],\n",
" [-6.57370804223884+/-44.65687035581039,\n",
" -4.25698118305654+/-136.31383286599566,\n",
" -4.7693383723283524+/-nan],\n",
" [92.89317483973802+/-140.01238999579837,\n",
" 86.11438206990918+/-53.19849749320445,\n",
" 58.776667371220185+/-5.71456736881938],\n",
" [61.197183120837146+/-11.18522934772766,\n",
" 67.5249671638215+/-30.57833966565575, -41.93265043704215+/-nan],\n",
" [63.199639521790616+/-6.606535018637516,\n",
" 69.3933295282999+/-13.340009789681742,\n",
" 95.51399956741882+/-0.40180484306296765],\n",
" [6.951931703634653+/-2.291682404744534,\n",
" 77.43848231614838+/-38.15379213036027,\n",
" 79.33775890552913+/-11.746570131437553],\n",
" [105.05319145253074+/-98.469121567738,\n",
" 101.37738216694271+/-39670.018266564024,\n",
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" 74.85587639272435+/-76.89309028769716]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(1.2+/-2.6)e+02 ... (0.1+/-1.0)e+03</div><input id='attrs-c9c13ad6-d2cc-4662-8d0e-8f96a3ed8ff5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9c13ad6-d2cc-4662-8d0e-8f96a3ed8ff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec87f929-b251-4ad6-8bdb-be4addb314ed' class='xr-var-data-in' type='checkbox'><label for='data-ec87f929-b251-4ad6-8bdb-be4addb314ed' 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([[120.43188054489991+/-255.77613933423774,\n",
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" 30.635535418284608+/-30.524974304258844,\n",
" 91.49768412686846+/-285.08367558069557],\n",
" [50.216401915316105+/-3729314.586436357,\n",
" 91.30382729671035+/-191.21292411553463,\n",
" 118.70038503039969+/-189.43445531981732],\n",
" [60.60701672409144+/-131.4923358292847,\n",
" 9.904649673123668+/-26.253048500948957,\n",
" 65.87123129571287+/-50.25573566368862],\n",
" [203.08976182843432+/-4428.076628936835,\n",
" 60.200580962421405+/-40.00666998648186,\n",
" 33.6248011619075+/-28.957192735318007],\n",
" [94.66292225326298+/-229.71305259371795,\n",
" 31.616141090874983+/-11.008125780501755,\n",
" 29.712336588465195+/-22.516369509845507],\n",
" [56.24214346543066+/-133.09823081633715,\n",
" 8.060439899351309+/-3.759080210382206, 3.7941032947613227+/-nan],\n",
" [86.18977698013045+/-97.47046423599697,\n",
" 28.826562774067966+/-53.66955088632659,\n",
" 7.386922229992422+/-4.540708032635605],\n",
" [36.70462253586204+/-9.477088734985651,\n",
" 42.85262102225181+/-68.19096239558876, 97.0893931352767+/-nan],\n",
" [61.494827532970476+/-72.52138061203657,\n",
" 55.587702370405324+/-414.4778746077347,\n",
" 5.4307367204212+/-1.7876589175611142],\n",
" [4.683262989227303+/-3.1742122885117174,\n",
" 32.91318550843571+/-20.628231083019628,\n",
" 61.993926082229606+/-102.42986507775358],\n",
" [152.50345988484426+/-1358.4123150706623,\n",
" 26.640549112942214+/-19690.0019414758,\n",
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" 116.10844362270889+/-956.2154940745644]], 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'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(1.2+/-2.2)e+02 ... (5+/-9)e+01</div><input id='attrs-6c7e9153-aa2b-4737-8df2-583d7fe786e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6c7e9153-aa2b-4737-8df2-583d7fe786e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed02089-91ea-42e2-a5b6-e20cf30d103b' class='xr-var-data-in' type='checkbox'><label for='data-eed02089-91ea-42e2-a5b6-e20cf30d103b' 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([[119.6039842343862+/-221.39377592083343,\n",
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" 2.056552945899351+/-0.99007520757279,\n",
" 11.05491599961421+/-4.739478254177671],\n",
" [82.92615779905375+/-33564638.25274575,\n",
" 24.448286258685645+/-7.124203921395094,\n",
" 53.758861010187125+/-21.02697947000451],\n",
" [7.746185355899819+/-11.024341014929968,\n",
" 6.242086933743035+/-16.1210698966054,\n",
" 118.44968533072229+/-278.6543166372916],\n",
" [9.492688320872261+/-53.00324810300404,\n",
" 39.579977003399065+/-11.747379177758567,\n",
" 52.62582805512344+/-97.93282457082161],\n",
" [174.10832863318012+/-1282.9325112791641,\n",
" 29.917071177631055+/-11.550026809349648,\n",
" 1.052475791860954+/-0.4169379026636444],\n",
" [6.657222484112788+/-15.159857155780086,\n",
" 50.220860776982974+/-82.68609889891195, 0.36791943825352+/-nan],\n",
" [103.5904308179573+/-170.7868951227273,\n",
" 43.690967890058275+/-48.11255105343267,\n",
" 9.288179927394893+/-5.724690799717762],\n",
" [47.21060830149377+/-17.173953085815523,\n",
" 0.30582765939680767+/-186.6222293825158, 76.16596251198243+/-nan],\n",
" [20.991027551431817+/-7.119465773135531,\n",
" 15.53602585130524+/-71.58448877553045,\n",
" 1.2196852334547024+/-0.4019157279507836],\n",
" [3.7095285964074565+/-2.4207291765408154,\n",
" 41.76761591860201+/-37.15745064443144,\n",
" 23.65533151369916+/-33.69442626128583],\n",
" [45.65967000042368+/-55.986962024601326,\n",
" 99.8902788528358+/-39589.717957302,\n",
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" 49.72348227362764+/-86.02325454618259]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(final_amp, runs)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(-1.2+/-2.6)e+02 ... (-0.1+/-1.0...</div><input id='attrs-0ae5b98c-8cad-42c5-aa28-0d957d164a66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ae5b98c-8cad-42c5-aa28-0d957d164a66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40067c41-8dd0-4b48-a51a-fae6a691cb2e' class='xr-var-data-in' type='checkbox'><label for='data-40067c41-8dd0-4b48-a51a-fae6a691cb2e' 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([[-117.71645263228673+/-255.47764455875514,\n",
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" -28.317946754594292+/-30.547474051224647,\n",
" -83.08041009682499+/-285.08932246874167],\n",
" [-0.7201357160032322+/-3726068.171143385,\n",
" -50.24929760559061+/-228.19731711144004,\n",
" -106.47736218725984+/-189.47677517123773],\n",
" [-0.0010147751616886858+/-64.76081414352065,\n",
" -1.0815048593567433+/-49.84154152675033,\n",
" -65.56370739884998+/-75.71442787161017],\n",
" [-41.48121593517907+/-5900.183087544931,\n",
" -58.54348458735556+/-40.05307045378591,\n",
" -0.0249377597491518+/-54.482786449796876],\n",
" [-90.74890905780745+/-229.78704170932323,\n",
" -5.2553375062767325+/-9.971223670906102,\n",
" -0.010958785169438379+/-17.101808682516616],\n",
" [-13.994598187244666+/-182.66885734377158,\n",
" -0.0006130367817622773+/-10.494206599123148,\n",
" -0.5153443628861691+/-nan],\n",
" [-85.8795578413362+/-117.5260280829035,\n",
" -10.229126005103463+/-56.48222407790671,\n",
" -5.709504304099614+/-4.563297292209126],\n",
" [-36.63692633250463+/-1112831.1980371089,\n",
" -6.659625497329458e-05+/-45.701199477563094,\n",
" -51.09942482445338+/-nan],\n",
" [-58.88023009280911+/-72.52606566233999,\n",
" -9.907898320744108+/-595.8668890013663,\n",
" -5.23915032379918e-06+/-2.770766320842231],\n",
" [-0.0020488784942305216+/-12.036949871954766,\n",
" -30.29250301195061+/-20.683877663165394,\n",
" -7.598318046087016e-06+/-2.401382389013889],\n",
" [-150.77749890746367+/-1358.4165802210607,\n",
" -24.739054530339853+/-19689.97057107849,\n",
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" -110.10169410032522+/-956.2113195890503]], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26da7876-d744-4f42-89b4-78f9561c1919' class='xr-section-summary-in' type='checkbox' ><label for='section-26da7876-d744-4f42-89b4-78f9561c1919' class='xr-section-summary' >Indexes: <span>(2)</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>final_amp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a695a414-1979-44a3-9787-64e2bc19bc05' class='xr-index-data-in' type='checkbox'/><label for='index-a695a414-1979-44a3-9787-64e2bc19bc05' 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([ 3e-05, 5.5e-05, 8e-05, 0.000105, 0.00013, 0.000155,\n",
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" 0.00018, 0.000205, 0.00023, 0.000255, 0.00028],\n",
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" dtype='float64', name='final_amp'))</pre></div></li><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-f1ed8106-6107-444c-8003-eec30722ec8e' class='xr-index-data-in' type='checkbox'/><label for='index-f1ed8106-6107-444c-8003-eec30722ec8e' 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='float64', name='runs'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78eafeda-9611-4055-8be5-9837a341b338' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78eafeda-9611-4055-8be5-9837a341b338' 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>"
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],
"text/plain": [
"<xarray.Dataset>\n",
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"Dimensions: (final_amp: 11, runs: 3)\n",
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"Coordinates:\n",
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" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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" * runs (runs) float64 0.0 1.0 2.0\n",
"Data variables:\n",
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" A_amplitude (final_amp, runs) object 7.4+/-3.4 0.7+/-0.4 ... 3.5+/-1.8\n",
" A_centerx (final_amp, runs) object 5.5+/-0.8 95.8+/-1.1 ... 70.7+/-2.8\n",
" A_centery (final_amp, runs) object 36+/-6 64.0+/-0.5 ... 22.7+/-2.2\n",
" A_sigmax (final_amp, runs) object 2.7+/-0.9 2.3+/-1.2 ... 6.0+/-2.9\n",
" A_sigmay (final_amp, runs) object 19+/-7 0.47+/-0.23 ... 4.7+/-2.2\n",
" B_amplitude (final_amp, runs) object (-1+/-6)e+03 ... (-0.1+/-1.3)e+03\n",
" B_centerx (final_amp, runs) object (-1+/-5)e+02 ... (-0.1+/-1.6)e+03\n",
" B_centery (final_amp, runs) object (1.5+/-3.4)e+02 ... (7+/-8)e+01\n",
" B_sigmax (final_amp, runs) object (1.2+/-2.6)e+02 ... (0.1+/-1.0)e+03\n",
" B_sigmay (final_amp, runs) object (1.2+/-2.2)e+02 ... (5+/-9)e+01\n",
" delta (final_amp, runs) object (-1.2+/-2.6)e+02 ... (-0.1+/-1.0)e+03"
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]
},
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"execution_count": 12,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitAnalyser.get_fit_full_result(fitResult)"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Get the Ncount"
]
},
{
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"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
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"### Calculate the mean and standard deviation"
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]
},
{
"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
},
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"metadata": {},
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"output_type": "display_data"
}
],
"source": [
"Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n",
"\n",
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"Ncount.load()\n",
"Ncount_mean = calculate_mean(Ncount)\n",
"Ncount_std = calculate_std(Ncount)\n",
"Ncount_mean.plot.errorbar(yerr=Ncount_std)\n",
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"plt.show()"
]
},
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{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do a 1D fit"
]
},
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{
"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
},
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"metadata": {},
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"output_type": "display_data"
}
],
"source": [
"fitAnalyser = FitAnalyser(\"Linear\", fitDim=1)\n",
"\n",
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"params = fitAnalyser.guess(Ncount_mean, x=\"final_amp\", dask=\"parallelized\")\n",
"fitResult = fitAnalyser.fit(Ncount_mean, params, x=\"final_amp\").load()\n",
"\n",
"plot_x = np.linspace(Ncount_mean[\"final_amp\"].min(), Ncount_mean[\"final_amp\"].max(), 100)\n",
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"\n",
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"fitCurve = fitAnalyser.eval(fitResult, x=plot_x, dask=\"parallelized\").load()\n",
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"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"Ncount_mean.plot.errorbar(ax=ax, yerr=Ncount_std)\n",
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"fitCurve.plot.errorbar(ax=ax, fmt='--g')\n",
"\n",
"plt.show()"
]
},
{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fitCurve = fitCurve.rename(dict(x='final_amp'))\n",
"plot_dataSe = xr.combine_nested([Ncount_mean, fitCurve], ['plot'])\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"plot_dataSe.sel(plot=[0, 1]).plot.errorbar(ax=ax, hue='plot', x='final_amp', fmt=['ob', '-g'])\n",
"plt.show()\n"
]
},
{
"attachments": {},
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"cell_type": "markdown",
"metadata": {},
"source": [
2023-05-08 17:48:53 +02:00
"# Select data and remove bad shot"
2023-05-07 23:41:31 +02:00
]
},
{
"cell_type": "code",
2023-05-15 17:05:16 +02:00
"execution_count": 16,
2023-05-07 23:41:31 +02:00
"metadata": {},
2023-05-08 17:48:53 +02:00
"outputs": [
{
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"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'OD' (plot: 2, final_amp: 11)>\n",
"array([[ nan, nan, nan, -9.60933756,\n",
" 11.14172055, -7.97310057, -32.31393233, nan,\n",
" nan, nan, nan],\n",
" [ nan, nan, nan, nan,\n",
" nan, nan, nan, nan,\n",
" nan, nan, nan]])\n",
"Coordinates:\n",
" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
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"Dimensions without coordinates: plot</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'OD'</div><ul class='xr-dim-list'><li><span>plot</span>: 2</li><li><span class='xr-has-index'>final_amp</span>: 11</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-691ac959-2ec1-41fb-a26b-7e10cc113f9d' class='xr-array-in' type='checkbox' checked><label for='section-691ac959-2ec1-41fb-a26b-7e10cc113f9d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan -9.609 11.14 -7.973 -32.31 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[ nan, nan, nan, -9.60933756,\n",
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" 11.14172055, -7.97310057, -32.31393233, nan,\n",
" nan, nan, nan],\n",
" [ nan, nan, nan, nan,\n",
" nan, nan, nan, nan,\n",
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" nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-c2e48ac4-7d2a-4e73-a0a0-c17a5567b172' class='xr-section-summary-in' type='checkbox' checked><label for='section-c2e48ac4-7d2a-4e73-a0a0-c17a5567b172' 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'>final_amp</span></div><div class='xr-var-dims'>(final_amp)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3e-05 5.5e-05 ... 0.000255 0.00028</div><input id='attrs-edd09d6d-740f-403e-9f90-711f77f2ec6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-edd09d6d-740f-403e-9f90-711f77f2ec6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd25fe8-bc8f-4b07-9dc1-9e27a882c4d0' class='xr-var-data-in' type='checkbox'><label for='data-fdd25fe8-bc8f-4b07-9dc1-9e27a882c4d0' 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([3.00e-05, 5.50e-05, 8.00e-05, 1.05e-04, 1.30e-04, 1.55e-04, 1.80e-04,\n",
" 2.05e-04, 2.30e-04, 2.55e-04, 2.80e-04])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4a08d81-f45e-4016-9c6b-265cb25ae09f' class='xr-section-summary-in' type='checkbox' ><label for='section-c4a08d81-f45e-4016-9c6b-265cb25ae09f' 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>final_amp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b2d75cd-b6e1-461d-9cec-0583a5dfce07' class='xr-index-data-in' type='checkbox'/><label for='index-1b2d75cd-b6e1-461d-9cec-0583a5dfce07' 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([ 3e-05, 5.5e-05, 8e-05, 0.000105, 0.00013, 0.000155,\n",
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" 0.00018, 0.000205, 0.00023, 0.000255, 0.00028],\n",
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" dtype='float64', name='final_amp'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da809ad5-d3b0-49a9-8476-710d351ca623' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da809ad5-d3b0-49a9-8476-710d351ca623' 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>"
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],
"text/plain": [
"<xarray.DataArray 'OD' (plot: 2, final_amp: 11)>\n",
"array([[ nan, nan, nan, -9.60933756,\n",
" 11.14172055, -7.97310057, -32.31393233, nan,\n",
" nan, nan, nan],\n",
" [ nan, nan, nan, nan,\n",
" nan, nan, nan, nan,\n",
" nan, nan, nan]])\n",
"Coordinates:\n",
" * final_amp (final_amp) float64 3e-05 5.5e-05 8e-05 ... 0.000255 0.00028\n",
"Dimensions without coordinates: plot"
]
},
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"execution_count": 16,
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"metadata": {},
"output_type": "execute_result"
}
],
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"source": [
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"plot_dataSe.where( (Ncount_mean[scanAxis[0]]<2e-4) & (Ncount_mean[scanAxis[0]]>1e-4) )"
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]
},
{
"cell_type": "code",
"execution_count": null,
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}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"version": "3.9.13"
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},
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"orig_nbformat": 4
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},
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