gao
/
analyseScript
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
25 Commits
3 Branches
0 Tags
210 MiB
 
 
Tree: 759f772976
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '759f772976'
${ noResults }
analyseScript/test.ipynb

1604 lines
105 KiB
Raw Blame History

{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import supporting package"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"from uncertainties import ufloat\n",
"from uncertainties import unumpy as unp\n",
"from uncertainties import umath\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from DataContainer.ReadData import read_hdf5_file\n",
"from Analyser.ImagingAnalyser import ImageAnalyser\n",
"from Analyser.FitAnalyser import FitAnalyser\n",
"from ToolFunction.ToolFunction import *\n",
"\n",
"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
"xr.plot.dataarray_plot.errorbar = errorbar\n",
"xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar\n",
"\n",
"imageAnalyser = ImageAnalyser()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start a client for parallel computing"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\Program Files\\Python\\Python38\\Lib\\site-packages\\distributed\\node.py:182: UserWarning: Port 8787 is already in use.\n",
"Perhaps you already have a cluster running?\n",
"Hosting the HTTP server on port 59390 instead\n",
" warnings.warn(\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-9a0ca19d-ecb4-11ed-af18-9c7bef43b4fb</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
" <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:59390/status\" }'>\n",
" Launch dashboard in JupyterLab\n",
" </button>\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">40e09024</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-616be11d-c546-4d58-ad88-3bacd53b13c0</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:59391\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:59390/status\" target=\"_blank\">http://127.0.0.1:59390/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59424\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59428/status\" target=\"_blank\">http://127.0.0.1:59428/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59394\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-ybrgy95q\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59422\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59427/status\" target=\"_blank\">http://127.0.0.1:59427/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59395\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-ms_3izxs\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59434\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59437/status\" target=\"_blank\">http://127.0.0.1:59437/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59396\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-qteiamcm\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59421\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59426/status\" target=\"_blank\">http://127.0.0.1:59426/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59397\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-r2y5vxh3\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59425\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59435/status\" target=\"_blank\">http://127.0.0.1:59435/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59398\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-3ykst_31\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:59423\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59429/status\" target=\"_blank\">http://127.0.0.1:59429/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:59399\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> C:\\Users\\Jianshun Gao\\AppData\\Local\\Temp\\dask-worker-space\\worker-egpqiwk3\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:59391' processes=6 threads=60, memory=55.88 GiB>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from dask.distributed import Client\n",
"client = Client(n_workers=6, threads_per_worker=10, processes=True, memory_limit='10GB')\n",
"client"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Read data"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set file path"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# filepath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/05/03/0043/*.h5\"\n",
"# filepath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/04/18/0003/2023-04-18_0003_Evaporative_Cooling_000.h5\"\n",
"\n",
"# filepath = \"//DyLabNAS/Data/Repetition_scan/2023/04/21/0002/*.h5\"\n",
"\n",
"filepath = r\"./testData/0002/*.h5\"\n",
"\n",
"# filepath = r\"./testData/0002/2023-04-21_0002_Evaporative_Cooling_0.h5\"\n",
"\n",
"# filepath = r'd:/Jianshun Gao/Simulations/analyseScripts/testData/0002/2023-04-21_0002_Evaporative_Cooling_0.h5'\n",
"\n",
"# filepath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/04/18/0003/*.h5\"\n",
"\n",
"# filepath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/05/04/0000/*.h5\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"groupList = [\n",
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
" # \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
"]\n",
"\n",
"dskey = {\n",
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_1\",\n",
" # \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
"}\n",
"\n",
"dataSetDict = {\n",
" dskey[groupList[i]]: read_hdf5_file(filepath, groupList[i])\n",
" for i in range(len(groupList))\n",
"}"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Rechunk the data for parallel computing"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"dataSet = dataSetDict[\"camera_1\"]\n",
"\n",
"scanAxis = dataSet.scanAxis\n",
"\n",
"# dataSet = dataSet.chunk(\n",
"# {\n",
"# # \"compZ_current_sg\": \"auto\",\n",
"# \"sin_mod_freq\": \"auto\",\n",
"# \"runs\": 2,\n",
"# \"x\": \"auto\",\n",
"# \"y\": \"auto\",\n",
"# }\n",
"# )"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Calculate absorption imaging"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## get OD images"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (runs: 3, x: 1200, y: 1920)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" atoms (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" background (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" dark (runs, x, y) uint16 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
" shotNum (runs) int64 0 1 2\n",
" OD (runs, x, y) float64 dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;\n",
"Attributes: (12/96)\n",
" TOF_free: 0.02\n",
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: nan\n",
" blink_on_time: nan\n",
" ... ...\n",
" y_offset_img: 0\n",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
" runs: [0. 1. 2.]\n",
" scanAxis: [&#x27;runs&#x27;]\n",
" scanAxisLength: [3.]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f93fede0-0ffa-4c21-b9ba-c80d42838e9a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f93fede0-0ffa-4c21-b9ba-c80d42838e9a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>runs</span>: 3</li><li><span>x</span>: 1200</li><li><span>y</span>: 1920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3dec71c4-b180-4438-934e-50bc3c02d447' class='xr-section-summary-in' type='checkbox' checked><label for='section-3dec71c4-b180-4438-934e-50bc3c02d447' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>runs</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0</div><input id='attrs-35d0177d-948f-4b66-b45d-edfed01c339f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35d0177d-948f-4b66-b45d-edfed01c339f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6995abb3-bf0c-4aa7-9aa2-0c4082d0d6b1' class='xr-var-data-in' type='checkbox'><label for='data-6995abb3-bf0c-4aa7-9aa2-0c4082d0d6b1' 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-6b5f08a3-382c-44dd-ac4e-312cf9dc366e' class='xr-section-summary-in' type='checkbox' checked><label for='section-6b5f08a3-382c-44dd-ac4e-312cf9dc366e' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>atoms</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-18c85580-860b-4be5-be6c-dfab7bdaa4b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c85580-860b-4be5-be6c-dfab7bdaa4b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0801c4a5-fd40-4956-924d-5871de1976c4' class='xr-var-data-in' type='checkbox'><label for='data-0801c4a5-fd40-4956-924d-5871de1976c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"79\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"84\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,89.9485979497544 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"89\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,89.9485979497544 24.9485979497544,89.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"109.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"164.948598\" y=\"52.448598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,52.448598)\">1200</text>\n",
" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-48a73fd3-7731-4eb6-bcb7-d35cef143851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48a73fd3-7731-4eb6-bcb7-d35cef143851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d9bb466-2ed5-48b2-8991-b812f0633673' class='xr-var-data-in' type='checkbox'><label for='data-6d9bb466-2ed5-48b2-8991-b812f0633673' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"79\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"84\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,89.9485979497544 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"89\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,89.9485979497544 24.9485979497544,89.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"109.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"164.948598\" y=\"52.448598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,52.448598)\">1200</text>\n",
" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-ced29619-3399-44f1-af13-2104035019ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ced29619-3399-44f1-af13-2104035019ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f03d0d-eeed-4a0c-8a02-ad327d3b47ef' class='xr-var-data-in' type='checkbox'><label for='data-55f03d0d-eeed-4a0c-8a02-ad327d3b47ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 13.18 MiB </td>\n",
" <td> 4.39 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 10 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"79\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"84\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,89.9485979497544 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"89\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,89.9485979497544 24.9485979497544,89.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"109.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"164.948598\" y=\"52.448598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,52.448598)\">1200</text>\n",
" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shotNum</span></div><div class='xr-var-dims'>(runs)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-06cd93c4-61f2-4562-8ba6-4c20d452e78b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06cd93c4-61f2-4562-8ba6-4c20d452e78b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ee97d7b-66bd-4c48-b1a3-53571521fef4' class='xr-var-data-in' type='checkbox'><label for='data-5ee97d7b-66bd-4c48-b1a3-53571521fef4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2], dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OD</span></div><div class='xr-var-dims'>(runs, x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1200, 1920), meta=np.ndarray&gt;</div><input id='attrs-c68900f2-6164-4204-843b-aa719b3b7b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c68900f2-6164-4204-843b-aa719b3b7b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f16fbad2-1a80-444c-bad8-56e3457eb05f' class='xr-var-data-in' type='checkbox'><label for='data-f16fbad2-1a80-444c-bad8-56e3457eb05f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 52.73 MiB </td>\n",
" <td> 17.58 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (3, 1200, 1920) </td>\n",
" <td> (1, 1200, 1920) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 3 chunks in 40 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"139\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"75\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"79\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"84\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,89.9485979497544 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"89\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"89\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"89\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,89.9485979497544 24.9485979497544,89.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"109.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n",
" <text x=\"164.948598\" y=\"52.448598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,52.448598)\">1200</text>\n",
" <text x=\"7.474299\" y=\"102.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,102.474299)\">3</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c3d2d31-aba4-4f09-afe5-e28bb74a7c71' class='xr-section-summary-in' type='checkbox' ><label for='section-5c3d2d31-aba4-4f09-afe5-e28bb74a7c71' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-decca0b6-3468-41ab-9850-a5b69dadce82' class='xr-index-data-in' type='checkbox'/><label for='index-decca0b6-3468-41ab-9850-a5b69dadce82' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([0.0, 1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;runs&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1e5c163-3f1f-4b5e-8a9d-be23047482a2' class='xr-section-summary-in' type='checkbox' ><label for='section-f1e5c163-3f1f-4b5e-8a9d-be23047482a2' class='xr-section-summary' >Attributes: <span>(96)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TOF_free :</span></dt><dd>0.02</dd><dt><span>abs_img_freq :</span></dt><dd>110.858</dd><dt><span>absorption_imaging_flag :</span></dt><dd>True</dd><dt><span>backup_data :</span></dt><dd>True</dd><dt><span>blink_off_time :</span></dt><dd>nan</dd><dt><span>blink_on_time :</span></dt><dd>nan</dd><dt><span>c_duration :</span></dt><dd>0.2</dd><dt><span>cmot_final_current :</span></dt><dd>0.65</dd><dt><span>cmot_hold :</span></dt><dd>0.06</dd><dt><span>cmot_initial_current :</span></dt><dd>0.18</dd><dt><span>compX_current :</span></dt><dd>0.005</dd><dt><span>compX_current_sg :</span></dt><dd>0</dd><dt><span>compX_final_current :</span></dt><dd>0.002</dd><dt><span>compX_initial_current :</span></dt><dd>0.005</dd><dt><span>compY_current :</span></dt><dd>0</dd><dt><span>compY_current_sg :</span></dt><dd>0</dd><dt><span>compY_final_current :</span></dt><dd>0</dd><dt><span>compY_initial_current :</span></dt><dd>0</dd><dt><span>compZ_current :</span></dt><dd>0</dd><dt><span>compZ_current_sg :</span></dt><dd>0.189</dd><dt><span>compZ_final_current :</span></dt><dd>0.283</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_final_pow :</span></dt><dd>0.35</dd><dt><span>evap_1_arm_1_mod_depth_final :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_mod_depth_initial :</span></dt><dd>1.0</dd><dt><span>evap_1_arm_1_mod_ramp_duration :</span></dt><dd>1.15</dd><dt><span>evap_1_arm_1_pow_ramp_duration :</span></dt><dd>1.65</dd><dt><span>evap_1_arm_1_start_pow :</span></dt><dd>7</dd><dt><span>evap_1_arm_2_final_pow :</span></dt><dd>5</dd><dt><span>evap_1_arm_2_ramp_duration :</span></dt><dd>0.5</dd><dt><span>evap_1_arm_2_start_pow :</span></dt><dd>0</dd><dt><span>evap_1_mod_ramp_trunc_value :</span></dt><dd>1</dd><dt><span>evap_1_pow_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_1_rate_constant_1 :</span></dt><dd>0.525</dd><dt><span>evap_1_rate_constant_2 :</span></dt><dd>0.51</dd><dt><span>evap_2_arm_1_final_pow :</span></dt><dd>0.037</dd><dt><span>evap_2_arm_1_start_pow :</span></dt><dd>0.35</dd><dt><span>evap_2_arm_2_final_pow :</span></dt><dd>0.09</dd><dt><span>evap_2_arm_2_start_pow :</span></dt><dd>5</dd><dt><span>evap_2_ramp_duration :</span></dt><dd>1.0</dd><dt><span>evap_2_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_2_rate_constant_1 :</span></dt><dd>0.37</dd><dt><span>evap_2_rate_constant_2 :</span></dt><dd>0.71</dd><dt><span>evap_3_arm_1_final_pow :</span></dt><dd>0.1038</dd><dt><span>evap_3_arm_1_mod_depth_final :</span></dt><dd>0.43</dd><dt><span>evap_3_arm_1_mod_depth_initial :</span></dt><dd>0</dd><dt><span>evap_3_arm_1_start_pow :</span></dt><dd>0.037</dd><dt><span>evap_3_ramp_duration :</span></dt><dd>0.1</dd><dt><span>evap_3_ramp_trunc_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_amp :</span></dt><dd>8e-05</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><dt><span>imaging_method :</span></dt><dd>in_situ_absorption</dd><dt><span>imaging_pulse_duration :</span></dt><dd>2.5e-05</dd><dt><span>imaging_wavelength :</span></dt><dd>4.21291e-07</dd><dt><span>initial_amp :</span></dt><dd>0.62</dd><dt><span>initial_freq :</span></dt><dd>102.13</dd><dt><span>mod_depth_initial :</span></dt><dd>1.0</dd><dt><span>mot_3d_amp :</span></dt><dd>0.62</dd><dt><span>mot_3d_camera_exposure_time :</span></dt><dd>0.002</dd><dt><span>mot_3d_camera_trigger_duration :</span></dt><dd>0.00025</dd><dt><span>mot_3d_freq :</span></dt><dd>102.13</dd><dt><span>mot_load_duration :</span></dt><dd>4</dd><dt><span>odt_axis_camera_trigger_duration :</span></dt><dd>0.002</dd><dt><span>odt_hold_time_1 :</span></dt><dd>0.01</dd><dt><span>odt_hold_time_2 :</span></dt><dd>0.1</dd><dt><span>odt_hold_time_3 :</span></dt><dd>0.1</dd><dt><span>odt_hold_time_4 :</span></dt><dd>1</dd><dt><span>pow_arm_1 :</span></dt><dd>7</dd><dt><span>pow_arm_2 :</span></dt><dd>0</dd><dt><span>pulse_delay :</span></dt><dd>8e-05</dd><dt><span>push_amp :</span></dt><dd>0.16</dd><dt><span>push_freq :</span></dt><dd>102</dd><dt><span>ramp_duration :</span></dt><dd>1</dd><dt><span>recomp_ramp_duration :</span></dt><dd>0.5</dd><dt><span>recomp_ramp_pow_fin_arm_1 :</span></dt><dd>0.1038</dd><dt><span>recomp_ramp_pow_fin_arm_2 :</span></dt><dd>0.09</dd><dt><span>recomp_ramp_pow_ini_arm_1 :</span></dt><dd>0.1038</dd><dt><span>recomp_ramp_pow_ini_arm_2 :</span></dt><dd>0.09</dd><dt><span>save_results :</span></dt><dd>False</dd><dt><span>stern_gerlach_duration :</span></dt><dd>0.001</dd><dt><span>wait_after_2dmot_off :</span></dt><dd>0</dd><dt><span>wait_time_between_images :</span></dt><dd>0.22</dd><dt><span>x_offset :</span></dt><dd>0</dd><dt><span>x_offset_img :</span></dt><dd>0</dd><dt><span>y_offset :</span></dt><dd>0</dd><dt><span>y_offset_img :</span></dt><dd>0</dd><dt><span>z_offset :</span></dt><dd>0.189</dd><dt><span>z_offset_img :</span></dt><dd>0.189</dd><dt><span>runs :</span></dt><dd>[0. 1. 2.]</dd><dt><span>scanAxis :</span></dt><dd>[&#x27;runs&#x27;]</dd><dt><span>scanAxisLength :</span></dt><dd>[3.]</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (runs: 3, x: 1200, y: 1920)\n",
"Coordinates:\n",
" * runs (runs) float64 0.0 1.0 2.0\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" atoms (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" background (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" dark (runs, x, y) uint16 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
" shotNum (runs) int64 0 1 2\n",
" OD (runs, x, y) float64 dask.array<chunksize=(1, 1200, 1920), meta=np.ndarray>\n",
"Attributes: (12/96)\n",
" TOF_free: 0.02\n",
" abs_img_freq: 110.858\n",
" absorption_imaging_flag: True\n",
" backup_data: True\n",
" blink_off_time: nan\n",
" blink_on_time: nan\n",
" ... ...\n",
" y_offset_img: 0\n",
" z_offset: 0.189\n",
" z_offset_img: 0.189\n",
" runs: [0. 1. 2.]\n",
" scanAxis: ['runs']\n",
" scanAxisLength: [3.]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
"\n",
"dataSet"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Select region of interests"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# imageAnalyser.center = (529, 962)\n",
"# imageAnalyser.span = (100,100)\n",
"# imageAnalyser.fraction = (0.1, 0.1)\n",
"\n",
"# imageAnalyser.center = (890, 1150)\n",
"# imageAnalyser.span = (600,600)\n",
"# imageAnalyser.fraction = (0.1, 0.1)\n",
"\n",
"imageAnalyser.center = (890, 950)\n",
"imageAnalyser.span = (100,100)\n",
"imageAnalyser.fraction = (0.1, 0.1)\n",
"\n",
"dataSet_crop = imageAnalyser.crop_image(dataSet)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x274b90445e0>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAASIAAADQCAYAAACjk2wQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABQ40lEQVR4nO29fbhdVX0u+v7ITsJGE0OkiRCQTQ01IFBFD6BYjEif4ieo+FE/qh699OljW7X2Vqyn9bSnnqter9ZzPdWHg4p6bJEiflDRXlHiFzUIEY1CkCgLScQgBCTIJslOxv1jjHfP337nGGutvXf2XnvBeJ9nP2PPueYcc8wxx/iN3/ewEAIqKioqBomDBt2AioqKikqIKioqBo5KiCoqKgaOSogqKioGjkqIKioqBo5KiCoqKgaOSogqDgjM7O1mttXMbjazPyhcc4yZbUzXfcbMlsx3OysWJiohGmJYxMC/oZkdD+DlAJ4A4GwA/2RmizKXvgfAB0IIawHcA+D189fKioWMgQ/iiunBzMYS1/FJAD8CcJSZ3e9+P8/MLk7/X2xm/8PMrjGzn5nZeen84Wb2TTO7wcx+ZGa/N8tmnQPgkhDC7hDCrQC2AjhF2m0AzgRwWTr1CQDnzvK5FQ8RjAy6ARUzwrEAXhNC+C4AxDlexOEAng5gHYAvIhKCVwD49xDCuxLncojeZGYfAPDMTH2XhBDeLefWAPiuO96Wznk8GsC9IYSJLtdUPExRCdFw4jYSoT7w+RDCfgA3mtnqdO57AD5mZovT7zfoTSGEtxyYplZU9EYVzYYTv5FjHzB4sPy22/1vABBC+CaAMwBsB3Cxmf2RPsDMPpBEN/27INOe7QCOcsdHpnMedwNYYWYjXa6peJiickQPDewws+MA3AzghQB2dbvYzI4GsC2E8L/MbCmAkwF80l8zTY7oiwD+2czeD+AIRNHxWqkvmNnVAM4DcAmA1wD4wjSeUfEQRuWIHhq4AMC/AbgGwB19XL8ewA/M7PsAXgbgg7N5eAjhxwAuBXAjgK8AeGMIYR8AmNmVZnZEuvRtAP7CzLYi6ow+OpvnVjx0YDUNSEVFxaBROaKKioqBoxKiioqKgaMSooqKioGjEqKKioqBYyjM92aHBGCFP4PGdYYhTfvcbwCwOJV7+nlCKpel8r5ptI5xm3w+n/sgGjrPbta28PyEO8f32Z9KvufB8vtv3DHPsf5RaUvufRbJNWwLo0UemcrxVLKP9rn6H5S2dgPvn4lxpN97c30xnWewD/bKc3Us8fwomm+nz1sk5T4pPTiGbrsrhPBbfbXW7FOrgFflAvp2A9gJvCOE8N/7qWshYCgIUSRCf+yOR9AMABKPXe43AKATcT8+c7xnfSqvmkbbGKXAyc7nbkUzYVcW2sLzO905vg8JAN9zbSqXp3KTu57nWP+6VB6Zytz78DmrpfxOKk9P5Q9T6Ynacen/rdLWbsgR3X7R7725vpjOM/g97pTn6lji+ePQfDt9HvuX7eH4yLl4cQz9H7dNo8GHvR7AIzI/3Argo8Bh06hr4BgSQkScnMq7AfCb6YflYN0h51ehGWCrUskJdFIqOWHZLX7F47VKPHSA+fZwwm5CHvz9blcnJzzrYVs56RW73LVHy7VbCveMuntK/bVRjsdcG1k/JxCPSSw7qeQk3Iv2QjFROM5hrVxDjoV17nTHpQVpXK5l2z0B4fjg8/he7BsuLKxrs7tXxwWv0e/pF1F+r+nQnwYHuxZ5LJ1RbYPFkBEiP6H54bny6MfkACShWIz2iqeimA7OXWg4g1vk3hF3Te5eoD2Aieen8lL0RlcnaWkL3/k2Oc+BzzbucP+zbUrolOP078VJxntWyjE5Mk8ItS3KyR4txztdPaxXiVW34asip3JtJDZ8r9Vo+o9t0+eOyXmgGR8kjioG62KwBs334bOPxkxQIkTDmORpyAhRRUUFUTmigcGzv2SB98o1utIpGw+0uRlCdQFHo9GZKLhKrpNjYhnKeopSnavQvJeKhGwzORm2fS2asK6bCm0k2BejaItiJVBs1bqBvI4LaLgAitKb0BZH+F58D+XigIb71PfIcZ/aJtZDzkjHCblrcqdXoK0DUuSU/vyWyvGtzVwLTOXcRzPn+scoKiGaZyxBHHy5gbdYjku6FC+bExy0nGT8/exUlnQ7HqpX8HL/C93/QDP5deJqXR4capxIrOvEVF6LMmEl+Luvn+3dKSVBAsuJRnHFD5lew8f3H0UYnbg6gfm+u1C2XnIcvCKVFHFH0RApflMuLgoSwitcO0p6KrZJdYkevLdkmKCubzUa3VI/YncZI2iPfp4fNgxjmysqKlA5ogFgP6YqG9ehYf9H3Tm481yZaJm6BW1Wf6dcy+OvuGepSOQtNEDDqVwr142gWTlLK5+y756bI1f2FeTBVXUlGm5FFcHaF14cUkWzQtucewflovjurNNblfhstTwpV5OzLpVAbsZzI+r2wDao4pvIWe2UuyFnluOEVATcKeefIe3YjIY74nhk26aHqqyed0wgfmAOjC1os8Cr5B410ec+mYoHBMWezWgGJUUi1qPWGBIVr3spESAdeN6yQr1KiQAp/LpYMtfnRD5CiQnrUp+knOWK/7Ovt0tJrETjoqC6ms9l6uWxJ+pA2TKqeiYPtm2LHGufnIi2T1BpodJ2+lLPU0T07z2WSra79N26oyqrKyoqBo5KiOYdSxGVwFwBb0J7dVI/Ea54foVXNlwtU4QXV9RJT61YxFY5v9y1kaLSWCq9b5N/3iiAB5CHWor4nB1ouDD1zSE8h8fnqe8PoX2hIjDQXv3Vt0pFRKDNrXTjMgh+721yD8G28/06aL8726Y+ZNxkhCJ17l6iWxu7WfCAtnVwGRol/ky8zBssRlVWzzMC4kfrpGM/YGil0sHSjY3OOS56cGKvQtvM3csxL0fc+BsJAdus3e8Hszq58X3U69ejNJH4XO/Aqf3D53kHP/9cb/XS4V8K8ch9p2NT2U8YDZ1ISQTZlhPl2OuiFCXv5WvleCXa/efdD3xd/h3U5YOiLNtG7/JxV5b0jdND1RFVVFQMHFU0m3fswVTRyltUejmD6aoG9A4+JbexHO2YL+UkeK+uaivRFqNKbVYxIXcNkYvZ4v03yTX6XuRqrkKbk9PnqTLeczClvlBO04seuXpy8Ep/tk05rhKX6mPo+O6PTmXOYdK30b8/71U/slwf8RpyaWzbnVJ6zp3nVHE/PYwuBUYzW9ot3Y/pJx8YMIaEEC1CnDg+LkkHBQeCOif+EGXw9Tmh1KIy7s6xProDUBxgO57h7mE7VDdDqN6JBChnstY2+UkHxD5RAkQooWA7lmd+I0oWKhKuNe5eNXOXLEhAO+BYrVYa3+XbotY51fd4kVstXixVRBvJnNfxUILvG95DvZ86uJIwcUGklRAo6/T6w8FLgNFMRrGlE6iEqKKiYn6weARYnCFEI0O4H8aQEKJ9iKuGV9RyNVHnOeVC/OpMLkJFmVJM04i7hwpa1qt5iDqZdnsrFdAW/XLdryu3cg5sI5WkY+iurAXauYf2oh2D1ysdBzm9LWj792hqDcVKdw3boO+l7fBtIbdJMYhcD7kMfoMtaPcp3125HI4l78NTMmYQ/I68dxMaDlmhxgRyQt7vS50fp4klaPKuDTmGhBAxe57Pg6MWL75Kp0s9nEzXyjGhSckWoyEIHHwlhz91SvOm65LToLoCTGTq5YRVVwD2xVlo3pmTnOIAJ4k3UbMOFQfYprFUqkcyCfF2d60GspZEjL1oW5MoZqlOx+d9Yl8wPk1FtH5iAdXj+axUqprXf7+SO4R60S9D70VAcRza7Z6hGf9g5AlRHxyRmR2FuKnm6nTHhSGED8o16xE3wbw1nbo8hPD3M2tsdwwJIaqoqGhhCfIzuD+6NgHgrSGETWa2DMD1ZvbVEMKNct23QgjPm11De2NICBH9iIhxNOKVZ8uBxm+jmwLQp8MA2uKQZ51V1BuVks/V1bPb8zU8ZSyVnp1XTohQK94GtBN3ER055u97kVfMA+0VPudrxT7XOKtStPwulMMYNDyEyCmMc2E0vg4v7qlIpmJkjptSEVq/ofpPdfvGJVF3U+Y5M5yGSwu39mGMCyHcgbQrcAhhl5ndhChqKCGaFwwJIToIceL7dJ8lSxEHdDfPXRVh1AnRm1o7cm8/znu9oJYUPylKy5kSOvUYBpp3PzWVTPfKe3OTr1fqVn2vZWgTHk0dq0Tl5My13upXgvaP3sv38gRILWrqALpJzntrF79tKYBaCccEygSnG1uilKIUeNwDi5CfwVFcO9HMrnNnLwwhXJirxszGADwJ7fzAAPBUM/sBgF8A+Mu0vfgBx5AQooqKihaWIh/jETdX2RxC+IteVZjZIwF8FsCbQwjK0m4CcHQI4X4zew6Az6NxKz+gGBJCFBBXEb/6qJKaKxzPa1T+uPtNla2aEsOvsCWlbik+LZeETMHn+p04WHcvkYzwogY5OLZNsylqAnnv+KdcB0Xbki+N73vey/i4kvjVcfWVFPX8fmzr3WiHVlB07hYbqCEVOrdKObr9Pb2i4T33qAr0UtZFz1VxLvP9uo2VLliKfDxHP5uqADCzxYhE6NMhhMv1d0+YQghXmtk/mdlhIYS7ZtbgMoaEEBmmkn7P9vJ8KcE6P/IatJO+EyUiknOcLH3lbk5wPqgVaCYHj30bvXXKt4nvRZ0VJ+7nkPdkzoH3HInGw7kj95beIyd2MRiV7Vei5u9RT22KP/R8/o78Poq2WKWWLoo4XmTS1B0sSaB00enlvMh6c/d4dUGJmOg9y9B2sl2GGWEJ8vEcOS5JYGYG4KMAbgohvL9wzWMA7AghBDM7BVFHcnfu2tliSAhRRUVFCwcjT4j6i3o9HcCrAWw2sxvSub8G8FgACCF8BMB5AP7EzCYQKe7LQwhz4i45p4TIzN4C4A2IstVmAK8DcDiASxCXwusBvDqE0MMhnSEePsxhufvfQ/eTym2Ap1kXyfUsk/I2lEMSuFrrljA5K1MpdIDvwLq9SMD6R+Q33uMTp2moRSlFyhYp/bUlRbNuJ+R9kHRbJirh2Rds61oA35BrNRZLFbbjaG/kqPeq75HnVskt8V3pP1Ta4smfK6WU4fO8MlsV2xqCw7o0VAjoz8LaBYuQ9yPqw8kxhPBtNFvWlq75EIAPzaRp08WcESIzWwPgzwEcH0IYN7NLAbwcwHMAfCCEcImZfQTA6wF8uEdtiITFE4VS9rxSalcvz4+lsiPXcvD6CVZiuTk56PXL5+T4YiU4uhGid6TUJPI3yTXb3LXA1PSobAMnR0mn4sHnlXb18Hl0/HHuGt3jjc/tZO6niMn39E6CvG67XKtikL6vJ7Dabg22zb1HaRNNQheF56NJV6vQ+jm2lqMv2akfLEWzE7nHEOYByUSqHFCMABg1sxEAhyD6LZwJ4LL0+ycAnDvHbaioeGiCOiL9O0B0bj4xZxxRCGG7mb0PwM8Rl5r/D1EUuzeEwGV4G8oBSg5LELkYvx9YKYaIVavlw+dA1mtL2fVWuntYn6Z7+Aby8IpMVY6TU1HO4Vg0il51LOQKu1zO70T7M6qTYj9Qaxm5grFUeuuTWn1Uoc730uRjQPPdNGYvx9mOyrWaYzz3rUuOpf1Eums/6nOUO86lU9GEeWOp5Dv0oxzvEwfjIcMRzaVodiiAcwAcA+BeAP+KZmuKfu4/H8D58ehRmEqERtBMBnWUIzTHzwiaiVmySCkWo60DKqX04PNLOqUcWDf1F1d1aVO3zIx67XQGe8kixImkqWvHUSZArEMJkNcrlRxQdSj6dCO9tsf26KVv6fbNNSulQq2CXnTXTQbWp7Ikunn0sRbnMAur2ULDXCqrzwJwawjhVwBgZpcjaupXmNlI4oqORIEdSV6gF8Z7jxjCxAYVFXOMEXTzrB4qzCUh+jmA08zsEMRl9FkArgNwNaJZ8BIAr0GM7p0mRtGsSuoDROTEAhU7dFdQgqtlB+0dShUaqZ1bacnxqK8MV1F61ucSo2kUfg4la0+vtgPNKs/+KvnusG7P3ajlqSQu70LbcZHilDor5pLJ5VKEeHgulJxwx53zdXQT0UoiOsEx55XjuoccUeKEjkbboluK0euByhH1Rghho5ldhmbj8+8jcjhfAnCJmf1DOvfR/mtlc3ehbNnotquCsvilHEY+3w6JVC5/TQ4+IyAnVyk9aq4unfi8RtNoECeieVclRCUC5D+7jtqS6d9PYN5PUWarXJsDdVD6zuow6glQSf+i8ESaxEKJpFoSc1DrW4mQ5zzvSQDZF5rvidiJtgioGyX0iYeQ1WxO/YhCCO8E8E45/TM0X62iomKmoJVMUQnRXGMslVvRXvH4Khp9T7Z3LcrcjFplCL96qmjUK0RgAmUFMzkudRbchTZXoQpS5Zg8B1EKB2EfHJnKje4aXe1LOZ49vOgKNKJnKcWGD71QdIvR6mX1U45pJRouRkWjkiXR95nuBst+077w2UEpmqsqQHca9hw1z/Hbdsur3gVVNJtvcIPFjjunplyFOjh6L1h1iMul4+iFkrNbN5cAJZaETwqv6Ss4GTjZN8g9Y2gmgYouJJYUL32MlDofaptymz8CU0UNnqPoyTbTOLpVyhz4HCV469COQ1PkApKVAGkmSIW3+HmPeqD5Fs+Q8yy7iVS6cJHI+eyiHG8zFBCqsrqiomLgqBzRfGMv4grzonT8HfTez4yv5h31SqKZssZcsU5HezVWnw8VBX08XClZVkkJ699JLXwb5VrCi2Ya7/YNOZ/rM43X0gT/OXi/Jw/eQ3ElNyNKW2crtqDNcZTyg/v30wyaypnwWoqpHdcebQvr+IYc+1CT6TiNlp4zHU7coTo0zjdGECcMCYb/mCelUs35RLeUo6XUISQUnghxAtHiocSrtNsG0Bb92GbW79vItpGA3iLHGnDqUTKBd5ss/e4A4k3oJSsgCQWfx8l+C8o6Gga2sn7fF7oHWcmFIReQq9k2VazKiVdaP8U6vge/uU9pwvv1/Ui0OB59NtBeOZ/6RIkjqoSooqJi3lA5ovnGfsSVxitUyZncItf2k6CsVzhGN2c3dZjT/MO8dx0aEYJhElw9yQnp81eiLRKRy1CuLZc3WbkptUjl3rdXmAvfx3ORuu1SKb6PfXYS2gYCtolcIsW9S1OZ2wutVzqVHGfZTcQEpoqr2k+aRD/nWFlSEXBc5IwWpayR08RByCum5zqUfQ4wJIRoH9ofr+QFq6/kdTeltBEqzvljHcifk+PSRN6CtnmW19CqRGsXCdQ42rotndycYB33fH12Lge6r9PXs1PKEnw/cEKy3SVLoQ+CJfHSIGESKPaRd4vg/+qxTSsWrYFjqbzWXUuwP5+fSn6/nPuFxiKy/ewrdVL0xJIoOUGyHblMo9PVMyXMgiPqc18zA/BBxNQ9DwB4bQhhhgqt7hgSQlRRUdHC7KxmE+i9r9mzEaPLj0XcGubDaLaIOaAYEkLEfc0895GLSeJvHl4MIcutXIauajnuwCe4BxruopO5FoirJVdQbROzK6oFaY27tpT4Tdn4XP5u9flh2z1XSQ6nNAS0baxjOZoVvCSW6H5xG9w9uUyMvi7PHeQSkQFlZ8URlKP8r3DXAN05QCrQO6ksiXe5OjRukZhwJftWt5WaJmYR4tHnvmbnAPhkSg/7XTNbYWaHp3sPKIaEEOm+ZkBDgHS749IA8/eXxCndDWML2hOHg361nFeCsbNLW0qOjV500i2gWVc3K5e6FpDwqK7FP3dx4TfeS4LPyfIdNO9aiqdSj27/e8mbWMWTE9Ge1CQmOUseEL9nSe9X0oF5XRLfS/tYdUb8Tl6U1vGn7fCEXVPLzFDaKYV4xE96IPY1WwPgdnfM/GEPV0JUUVHRQvcNFg/EvmbzhiEhRLSaeWhsUi/Lg/f5UJFCu8EnXKfPjHIb5CSenUqu1t5SVdpqprQ6+5WY93K1pBKUnITnBlTpuVeO1bfGo5RChPeo9ee4zHMYisG2qRLei6nsz5JTJDmUzWhbvvQ45+DoxTSgLKaqBRWujaVddbVOr1DXHOnKrbH/noHmm84waT4xy6DXXvuaITb6KHdczB82WwwJIVKciHbSdXUky6Wv0BStah1RAuUnSan/N8gxCdSj0SS6p5WHlhSy9iraeIsPRaWO3Et4E/oyuba0K4mfQNQ5chFUD3GKUOwDZsTc6dpCwqDHrJvteQbaBIfHqk8iUTkF7T7ncFX9oLcAkhDwm1Lfw3GiKXf9wlESpXPBtZD28Vv6PvZgG7+B9g4tM2REZqEj6mdfMwBfBPCnZnYJ4kf99Vzoh4ChJUQVFRUTS+OfYl9/VrN+9jW7EtF0vxXRfP+6WTa5iCEhRIapIkg37lA5Ik1QD/TPEo+4+hiWQQVqR+pSLus4lLcUVsdDcge70KzQatUqKYiXoR0nVorn4ghdjsZio86AXP3pKEoHToqe69CIVdRtkuNTHyE+9wo0oiWfq5ZLtUyNo+EU1HrGY91PbTHahgh+PxXrctyWKuxfmspL5VqOgZWujexbdXAl+NyVrv4Z+g8l7F5i2L20vTXZnsUB0dJcRp/7mgUAb5xFE/vGkBAiwptetek8HnPXAM0A2ZK5p5v1BYgDk4OFk660j5oObG8J0X3Tcsnl2Q7VdanuQc3ge9GeQKVgW9axFm1CR30L+0sniW6aCDQJ4n29cO1hn53knkdRaSyV7HuKd56osS90dxBOfj6fRPIsNERC8zWVYsCUiAONWKoEiND+9OcUOR2c9u3MtpzePzKCfSNtWrJ/0f4u7VmYGDJCVFFRQexZtAR7FrUJ0d5F+1AJ0ZyAO736FA6q/GTHq0+GF0/04ygnNJZKn4NZ/Yh65U8mdqItIim3o9yV51S4SjLyWyPRfbgDV31NAkbuQv1itqJR+JIDYr+xDloD+RzPyWh8H4+1r9hHD6DhkihGsU/IJfJeindr0I4x0+28aaVjv+5AmzPlmNFsmDlOiM/plTEx50yrU4nvrqJaLixkOWaCPViC3ZnAsr3Yi9mKffONISFENN9zYF6FNjurOyPohPWvukbOsV4VmXaibQUp5cTRPDh70Uy60v7ompbVW09YD8Ub1St1XB25dwQacYf6GW8Z897cOYylcq+UQDuXz3rXFv8cxtRNoLEglnJCqWVvL6am+QXa+6lpKg8/+TQ/FAksx4mKvEDTt6xXv1vOGbPXTinajq3oL5tnb+zBYuzJRL1O9NAPLUQMCSGqqKhQRI6oTYj2YP8AWjM7zCkhMrMVAC4CcAKiGv8/A7gZwGcQl9wOgJeGEO7pr8ZcpDRXtlz+YqBZxbajzQJzhVWxxzvB6WqlW0+rctT7Ly2WewgV69S/CWiHBnQK965CwzGohYhtU3H1ZDQcD3/jc2gRS6v+oclaeE/iTo4CcLs+x1sKgXa0/E73G/uE3A79kyjeeQdVcqrqL8S2E4zd80nONFLf7/jr6yRORnvfMrU6ao7pa9FwQqWYwFwyN/Y1HUG3Za7pjX0Ywb4MIdo/hEmr55oj+iCAr4QQzjOzJQAOQfRV+FoI4d1mdgGACwC8rXs1jDXzJl4VxdSaxPOlvek91LLhHdeUwKi+gu1Qy44nYLyHjn6ai8frOAjNQ8R6OVF9AC/r52TvlWy+455Jgqr6q/Re96ZDS0R8BMBh6dzudM3EWCwnY3xJQLxrgMawsa0kljnL2Ea5lsSD78G2a9J7oEVQJ/uLUCdSL3pq5k4SwNyOHZqeV/VHPGb9W1w72YaZOTTuxWLsyUzhiaILwcLFnBEiM3sUgDMAvBYAQgh7AOwxs3PQKBU+geia3IMQVVRUKHZjKXZnpvCeSoim4BgAvwLwcTP7XQDXA3gTgNXOTfyXaIexAwDM7HwA58ejR6GdHoIrOFcTJtZX349cpL0mH1MLg48f0ghytXjw3pwSW53oKH4o9+GjsXW1LIHddqerryP3crXWlCK70HBybOMhqaQIlrgQZVR2A7hLmnBvKn8rlTexbs9ZsJ/4m25xpBbMZ7v/6SdU2vYplzlRw046qVwpJZ+/193Pe/gtumV5VA5VMwaoCKhZJICZWs0iR9R2o54YQtXvXLZ4BHHk/FnafvqDiGLYJEIIwcyyKv6UsuBCADA7Qq5ZjanJyIHezme5c0pU1JqVM+2q/oNWk1xWRA7g0t5h6lznCVTJkqKiwEq0sy0ulmvoFU6iejJasWyWJnlI78e5cm4qD0+lzwpYyqH/iFTeQGK2He3Uvpx8PK8OiB20RSQSIBIkjoHcdtjjcg11UWp58yKu5qvSODi10k2g6WPqgnQ86PjzRKhk7ewPu7EEuzOEaO8Q7ic0l9lttwHYFkLgF7kMcQTtMLPDASCVpa0ZKioqumAfFiWFtf5VZfUkQgi/NLPbzezxIYSbATwLMfvbjQBeA+DdqfzC9Gv3Sl0N01B4S5RaQfwun/68TzGi4oA+RxXDXimqnAnrJ4dC7sBzYKpUVYdCzdO8FW3OSzk99hefv7W59rD0fnzluxZPfdzuVG6IxeHfvBV3/O0x8eDc9Bu78RJ57GQCibOAWz+T/tfVmorfdXJ+MRqFM0UzciJ8H82AeYqrTxOT5TYBAJq+olLZ10cOkpwQx8liOe/Btqk1dyyVXqzUtkwPe7EEezKh9lU0a+PPAHw6Wcx+hhi9exCAS83s9Yhf8qVd7i/AizCaD0bTin45lZ5FJvusugYOWm9R4jXKnutAL2UG9Ch5fxNnozFFa5wVRZmxVHLwHo222Z4T5e5UkpiybZsw2T93pcl8WLqHXfOfUknfxXNj8cCeUeC1SVLelsIL2GQ+/pGpJM38mm+3ikgkQJpi4240Zm0VtwiNi/P6GDa8tJ8awf69CXkx3rdJHWAdQZ8kQP67eOQWz9l5P0c/onb4/TCKZnNKiEIINwB4SuanZ83lcysqHg7YU+CIKiGaN+xCOy+yhk9sSCW5BZ+Wg75FXI3J5ZAd4Eq8Fe2dPNHjuJQ6Aq4uOrKp4vQr7lq+H8U6+sNwNfZWOlWy+3f29VKUWQ8gJeQ77EVTH8dbfiSPeUrkFtYu+Sk2r4gWtjf89kUAgItOeAMAYGxlBwDwk/ecNLWOpwP4Frmyi1JJsYvQsJEx9xvfnVyh+iKRK/H+PZqoTP2F1N9nFOXtfdQ5kqzeKNpifs6nSUFCwXtLYTbdUTmigSFnii/FBREcVH6QLitcS8LAe3I6h17sdMl6BzRtJTHppt/StBmdVDIY9cOpXIe2le/Zcg/b/PpUbseku8O+dIpdSrFqLJWkDw/Gvr8Lj8ZrV34cAPBN/B4A4IkrbwAAXLfjyfFaWtiensrLfNtYIRcDEv8N0vbNKG81zbpUVzSCdsoVQs31fGEfP6YuDfwG/PadTHs0j1OvDRqAhqDpHnnTQ1RWtxXTw6isHsI9ISsqKgAGvS5p/fWjrDazj5nZnWb2o8Lv683s12Z2Q/r72x71PdPMLjezH6e/y8xsfb/vMmQcEVeqLWizt8qOdnMILDn86T2ei+JKp9sXUUxYKedznJPGp6mC1qcq0XzTfHfmOKflbQeaFVqj0MkdsH46LZ6KSY7hiQzTSD91Uvm7qUw+QY888q5Uwzj+AP8OADgi7SpzGV4MANj/g3TxXVPvxWMAbElcYCCnQgdU3RzAx8dRrGJsFzkUcjHqGLoc5b4l90vuhuOGCv3T0XBpasXS5Pl8/k1ownZKTlWKVWhzQjNLjLYHS2cjml0M4EOIu72W8K0QwvN6VWRmz011/T2Av0PM23MygI+Z2Z+GEK7sVceQEKIliJOKA+IUTN2wDui9veU6tLcU1h0eFN4LtrRxn+555eV9NRlzkqhHt0+BoQ5y1CfxXk4CT+g0BQmJo8ayETsxaTX7Vjo1lsrnpvKpqUyi2/3bYoDZUb9zzWQtVJTevifZ6dfFbzF6Wnzv8e8eGs9/CU1GkC+T4JBAsG82pJLv6835JAxsZMkhdTGa/iFRoWhLgsN7VKTvoE3IS7uveKunWkA1blHjADejPWZmtpsHOSJFP4QohPDNtJ/ZgcD/CeDcEMIP3Lkb0r5q/y9i7uuuqKJZRcWQghyR/iVCdKKZXef+zp/BI55qZj8wsy+b2RO6XPcYIUIAgBDCD1EI4VIMCUe0B1NDHjajWb00RQOhykNvXZpw5zx0S+O9aHMbugrrqpmzllDEYx3q4Ogj+VUEJIdFS56KgjehsUCRa+LzaMFj31C5+7KmaZQWV0iTE8f/rFO/BADYlfrzKbgOI4lNWpTKC5a8BwDwpcc+BwDwEzweADD+y8QRvQHRfXVKGzW0Qy1gO91v5JL4zrqDrQ+VoJMo6+GxficN5/BpQJTrJMeS2/qo1xTK7R5bCi2aHvbhoEIakIOAPjdY7IJNAI4OIdxvZs8B8Hk0TmCK33Spp9tvkxgSQkT4gEW1fiiUPR1Debtmige6P/qEq5+6jZJ1Tk2x3hxMAqB6C91hZDnauWmukGONT1uFto6B4o94XC9b3zSDqTwYN0YLF61oqftIbJ6JqwEAn8MLcXzaHn1Jcrs+MfXrZThvyj04LdX1vwE8Mf1/f2rD7YkgHZYI0F0kUD69i9/5Amj6hsT+Fankt7gFbR2djg91QGTfjWR+04T7flEjVD/Xa6Fai+a9fDbK6aPkWX0gzPd+19cQwpVm9k9mdlgI4a7M5Y8zsy9mzhuA3+7neUNGiCoqKojdWIJFc+RHZGaPAbAjBaafgqjGubtw+TmpHEXkmgIitR0H8L5+nteTEJnZ8SGEG+Xc+hDChn4ecGDhk8x35DddtXRl8uKcKqnVStItYr+Uc9lvQYTUPrW2aH5j3YbnFrTDFs6WY92BdSeAf5bfyDlIWMiuT6fjVzYi2QnS/HTpU0+OHNC9SWa7PQWO/R3eiZd8+Yop977jqL8BADwn6SQ3JkvS8b8Th811/+XJ+PUFj4kXMwEMuY/J9ZV9QnFyO5p3/6j8Rl8k9gG/5xo034d9qgnQ9PuxvzejbenUTI2aIG052lkSSopn3a+O7dVz/WM2HJGZ/QuiZ+thZrYNwDuROiNtrngegD8xM+ZweXna5yyHawC8CzED68/TuaMQLXN/3c+79MMRXWpmnwLwXkRG/r2IYRtP7XrXAcUIInvOwaRJ7oFmZuV+U9CMXUqA7y0emhmxFzhIPSFkvdRXkCBywHTkOv8b9RZjqfQECJg68Pls1sM6JDfPMgA0ynIOMBAnEZcViNl7X4eLAQAnJu/mdVtua9HpsdR+imiH4AEAwNs3fSBecBcaHdTkGqAEl+IXYwPXovmW7C86i5LgKiHfhba5nhiRkkSaY+o+tOMJtY81M2THvZCm+9XMoVSveFFtZgSI2I0lOGiGHFEI4Q97/P4hRJN8P3gvoivsMSGEXQBgZssRuaH3IeYh64p+rGanIlK3awB8D8Av0CztFRUVA8L+5Fmtf/vn3xj+PADnkwgBkzqmP0Hcsron+uGIuEnSKCJHdGsIYZ63CdiHuGJ5xSLB5ZmrJ6+hwx/FlDH0zl+tvh/L0U6GpXFipTpWos2ZqPJ1mfw+irY4V8rmyJV3NdqJ1fa634DJ1XkkcRJjaNx2Egd09IsiB/HcJF5NJGvMS34UxbB/PSFaFB+/6jZY8sf70vNj7DKV19fgaemt4nh81snR4nbNfU/D+NZkQfvT9Nx/S22laHYHORRyNxvdu/I3za44lkqftkM3TeB3OtVdAzR97qPiCW9w8NeSE/IZEkohP/rdyJWuQfsbznQ7oSU4aGEEvYac2BZC2FdKfKjohxB9DzFn0H9CtLV8xMxeHEJ4ybSaOisETM2GdxKaAabxWiw1Q55niVXM4sDWRPmvBJJo0pxTAqRWNA74jWgn+CfUjJ8LtqRJvpNKWpVIYPnpvoP2/vUqfqTnTaTJuRSNqJSsZ3fsPAIAcNfKSGiPSc/dckIkwC/5eiRIPz9zFR778diXz33V1wAAPz7qcQCAv3jvPwEA3vJX/xcAYCvi+X0TizD6qijqjZ+WCBKl1AkSAn6DNGFHXglMXJzOjfHiVGqwML+t3+yAgbKc7BvlmGPAbx7QSf9rxks+V3VSfvpQB3ScXKvwRGf2aUBsYQS93mhmfxRCmOKlbWavQlmpOgX9EKLXhxCuS//fAeAcM3v19NpZUVFxoBEJ0YLgiN4I4HIz+8+IuemBqHUcBfDCfiroSYgcEfLnPjWNRh4APAKR1SZXsA1ltlbjgfx+VrrHlUZka3dcjLbDnYpOmt+YK+9KtHMuK/fElZfvMO7atF2uVV8a72jJVV3DTDSPssOKVCaOaP3KDalFPwUAbE51HrX79njBr2PRwRge+5JU73tj8YQd8Z6vXhqdkZ6C66bUcduGdU1KkJenckMqr2aDxlKZvtvENjTcpaYBYd/r70eiEbXYX52p9U72KzkY3a4baPpcuW01ZgDtxG46lnIWWOXAZ4ZoMRs8RxRC2A7gVDM7EwA9sK8MIXyt3zqGxI/oN4jsuN8qmgNKBws/fM6s6ie8v6YUdOjzHpEIapCtilU+TkkHHAc49U0dqQNoewuTWHESUqYZS+V6d26L/Mbna7qM1U1XPj2K8DTT35V0YG9IeYMe8cGoDgwx5RDO+LNrGwPQC2IR0vHvb/02AODWtTEPyI04HgCw60XLcO2aM+JFH0z3dvi+qY3LUn/uotVsBxodFx+oe8nxWhKI1e5/PoD9pilpqevzMYtq8dJAZhIrL9rrNy3pDj30287MelZKAzIAZTUAIITwdQBfn8m9Q0KIKioqFHuwGGFhiGazxpARIq6IJ6O8/5dm4vPRzxp1r+yzdsfRaFh3rpaqgO7H8qHWOFWUktvynBFXS4pVn5bzPoJfV2VySOQoKFYmLEbDJP0y5p1+4Ldjn3QQE+M/mk60KXm+rY/luzYD70icEM5MvyVj5PdfGJ/DUA+KZjfsfGJjNHowlSvYmPT9dj0gbT4VAKMG2Fi1oqnieQ2aFBujci1TiSjnSnhRWto2Cd1sYRRTRWStD2hzVzvd/6X81v1hD5YiLADR7EBgSAjRIkzdS97nqtHE6j6xuYePM9NtlnVfdGI5ymZ0QuOEvB6BrLya1/kenHzECJr2q9ftqXItdVFjaIuLuo8ZCVMScbYBoOYv0gysTvokmuJPvyPqHLf8TZwkq/8m/v6OjeOTDs53nRDTOd58wuOn3Lsi7bj44piaEb9YeQSufzAR1F9iajkJTY0y0rS3lQKF34t97yeybmLA/tM+4nPWyXXdwG/SSeV2tBczTUHL3/ktvPleF6bpYW+BI6q7eFRUVMwbdmMp9mU4olzYx0LHnBMiM1uEuP5uDyE8z8yOQdwB69GIpr5XhxD2dK9lHyKb7BOI6YrWawWEu+cm5KEKaC9uqRJZwwGIU9z/dKAsiYDkAnzSLN6v9XL158rqleTkolQc0JCPdHzC6slo+FVPi6FBV+9YDwA4b3XkYkIa31Q4r3tzas+twEUpmugNX74/1n7m9wEAdy6N7TgCvwAA/Dv+ID39AeDW1AQa/SZHHttM8Pvtcu33IRVAw5mMyb3fQNvwoPFhut8Y3HndKooxbZukZN970YxQnzG1mo12+W162IeDYAtIWT0bzAdH9CbEmc9Z9x4AHwghXGJmH0HM6P7h0s1TkdvjXCesD4AEprLcHJRqNSM42f2ELumA+Fz1Zvbe2+pBre1X4ubr7aSShEd1EV5XxPp9MKbHSVMPv43JFB13bnosAODJJ0/dKPJzK2MS+6VIawSlpNOAc78QRbK/s0iI3rk5WtauOSF6VlM0uzURim///JkAPc9uTiU/AYNgJ0ih/C4YXBh0o0rdmaOTytPRiKGEppelOKzB0V68Y/10C2Dwre45N4o24SF0USC2oz0uZiaa7cES7Msqq4dP0JlT0mlmRyImH70oHRuiivOydMkn0OwXWlFRMQ3EZPlLW397q2jWwj8C+Cs0pP/RAO4NIZAn9Z6JU5BSW6b0lo+SXyfQVkrqCpRLNsXVUbc39vX6OlaizQlplsCc9YXncxyPf74qr/eiWYUZ4qFKVIpuftfWP0v/d+R5Y6n0cU4AJsaAG9KplJ3jiJOjOHVzyq64Ow3mw5L17J43xrYe+qNxHLYlcUJ0xUncziuf81kAwFffFR0byU2teuwvcOd1kfOafO7jUzkZja/ZEHegEVk1GZxmHyVHcSfaRgxm3aTyWK1YOSW15rMu7d67FvldZv3z/bXAVI5oZgnRiL37l2Df/oyyev/wcURz1mIzex6AO0MI109nWxEihHAhgAtjXUdkAudKe12VzKlAOxBSkTO5an0Uf2jFokihSe7XoJ26o5QTJ9cGzeJHsC7W/VIAn5F6mbenk8r1sbBU1+kAvpt++odYMMiVgavEqclC1eHzTujg0D+Kky/8JFWbnK+5Nvz+xujY+IFTo+3/zhsf22SEvCCVl6RyFyejei+vRTM82W9jUvI7ci07Do1oxgWE/cXvxefxG2uOKKCdSoT1q+7oWjTe+godn57gsQ0zC3Yl9jy4BPZgW1m9b8/wme/nUjQ7HcALzKyDOOzORPSrXWFmHGFHYrZfo6LiYYp9+xZh30Tmb1/vDRb72NfMzOx/mNlWM/uhmZ2cu+5AYc44ohDC2wG8HYgZHQH8ZQjhlWb2r4jeK5cAeA1iZH8PcDshciPdrA0a2e7RKdyjMWC+DlVgawS4ihQ+0Ra5pTXuHNDudiqTN6EtznHFpRJct7Re7tpA9l8T1KfnhnT+3pObmK+kfz30+HsBAE9KshPzTtMU/Kkkf/3PP3lrFLbRKLRfmEItbl4ZFb5fOzyKlfv4nt9G0220nrU+Icc5+3sH2lsrEXx39jVFuCvQ9Bc5ECruNRqez/OckHJgan0cS+Ut7vpeqWXUrwgoZ3+YHnaPL4aNt0WzsLuvaX0xuu9r9mxEE8WxiOzkh9F2ZjtgGIQw+TYAl5jZPwD4Ppo8oF2gu3h4qEWqZMXI/VbK5kdCtBPN5B5LZSkVhFq3TsZUx7du8Gkt+BxOJA50EjPGV3GA+3w6bAufSwIl+XU6aHZ2jgYwPC4Fu9LixRimM26PotkZv4nljz/8ODzhjnjt0xD3OLtqZdQJHZKe9+QUgP2llBPried/Fze8Ipnp2J30sJ4kmhR3fP4oflMSJ84D9XAmYViLhrBQN0RPa7V+djAVJ7q2KOHTmD1iNdoqAfXcVs98n3my5OXdH8KepQi726IZ9vZWVvexr9k5AD6Z8gx918xWmNnhIYQ7utwzY8wLIUr5rTek/3+Gqc42FRUVM8HuEeDBzBTeswhI+5q5sxcmvWu/WAPgdndMw9LwEqIDBx+trNkNqUjstuUzobE9uXggoiMlofXn8kRrRkHWS26GGEvll9Hm2lTBzmOuzs9HO0SFbdN4u9SOY9ESja5OCm3uWfZafHzqBdE3EU/4x582evkYZI9fICZVY4J9RvJvTiLntgvXNspqDuNJjohi6cWpJNfTQcOh0ImJsWfknvh+fJk1aN6VnKRu3aTZEX1uabaFlkuCHJLWMYpmTJa2qtItinLc8QzTgTwI148O0Vg5233N5hVDQogOQZy8uY+tVqZ+9hEviUq5TIrj7n8PjVnipPDxZSUCRzGORDO3+R4/jWai5CThBLgK7bxGbOvWqedH0iT/j3HgtHQNHRuTPulx6R6KWV86KqaDfe6ZKbXMwZiUhDafEQnqqSnu7Y5EkN63Me7q8f/gv8QLJwDcn5ry+VTew/dlX1DPw4m7GQ0BYl9w0wMSYwYCex0LrWCU+Kn/I1GjyLYBU8FsyL4+9azWcTOB5tupSwj7nuPCL6IknGwr4waniX3Iq0v3Zc5NH9uBtLJEzKlhafh8wSsqKiIeLPz1CJjqE18E8EfJenYagF/PlX4IGBqOaBxxRfNiCq0hGltWwjLkc0MDbfaZq7NfADRzoi5Fq+X8OKau7kATKsAVVjmw09GsoLqianIuHp+CRnQgd8G2nDX12onETR16UrOB7FNiseSk6PNziPTN+t0pheI7YnHLscBhIXIOz7wv+gtdszyq/Kjw/odT3xov5m54vwSSDtyFeKn4Q7Foo7twlVzD8Az6Tb0ylRvcNQzDIIfC7zEmdbEhZ7vrJEvBpOK7V4gO0Bg8NFtDKZUI0M6rPk3sRjfRrCv62NfsSsQdOLYidvzrZtbI/jAkhIjJ870jok+rADSvwg+vQamL0RAv5TA1fWgnlcehIU5qclXP7n5kf04Ssum6XfF30LDrHOScBCQqJEwUDXehmUAUJdjmTirXpzIRqHt2Ak9PhDXRu5/eF9v0pOU3AGhSevz3pZECvWvzfwMAjITD8UX8HgDgNTdFM/qqU+PzPoOXAWj2N8PByQ91zDLJKFXU5QXL3fHdci37mITiPrlnB5r+0syMR7trgOb78ZsAzVgiAaJNhYSdFstuhMMHxALNd/QphnWzg2xwQW/MghD1sa9ZQMxFPS8YEkKkOqIRlDe942DlICW82VQHqxIM1rkd7Qh2EoKSgtGvnrrXPQeehhV4Isd293JL8MpPEjY+h5wD7/Xe3gCwvMkhnebY+La4u8bG46Me6U0ppyu3BvrEC6P/0gj24f7UtqtPfSoA4J6knH5Wcm34C7w/VrotJl3DDXC6fuXaOHHJHWxyv/ObchJrMCrrYn96ZbUSC44L9gnDYqhn2or2YqK5zbXOEbR1hQoNtN6FfCDsDPAgcimrD5RoNq8YEkJUUVHRwgTy4Wqzyy4yEAwJIdqLyAF4cUgdyDQj3vpU0gHRb0Wtu0EQuvKOotEXaTpX5XbG5XegLb7xeWo69nqEsVTyfcgV3CfHxFq0vbo18JcihkssP5aewwU9eZz8Yixavp52yDWpZbHO8WSx2odF+D18K93ylNTS2KarEC1sk3omn36J3XNW6vurqKSiLodmex9rRhGJ/gIqkvFaelP7PFOsj31OroN983epPNqV5NJ02/K1ct7r6fj9NdsivwnrpA7pRLSdIGeI3ZhM5TsFs4ulHQiGhBBpYjSgzApzkqtLvzenl7YgIrz7vyZY4+ziAFa/Je/Sr4SNI6Tk4n8fGtGEZmZO2LMxFRRPjkMzMSmSkdCqcp5tva8Jej04lSl16/2PiQ4/lz095pD9y0PeB6AJhj0Kt+OdaRKfl7K5/DRtpHj7nmjt/fWPUkg/fYfuQpOadhJ8P34Tvo8XOfkdNqRyfSpVJ0YC5N0t+P1V17ZGSp8sr6RfVMKU81XThYnfRF1OtqM9dmZIOWahI1poGBJCVFFR0cJuIJsnvxKiuYIhNjWXF0ZfoZTtrlsMmgrVPhBSd4MgN1V6DlfCde5avZesfi5fEf/nqs/nj6XSB7uyLraFViautBQr75x6fvTkuGcl0Dga8jitsPffENmZzz/tXHiswL14IIlpV+OZAIAv7YgxZcsO3TW1zhWp/BSAtNM07iEXwX4i50IRhr8/Gw0nxN94rI6H7Kv1aLgj5Xo1y6Omc/H1UflNro3cWm78aXZMHUsU47y7SbexOA2MA5lMsXlxbYFjSAgRoZYkoPE/0TzUM9HYqXVrFG3rnLLeunsD792CduQ85NpNcrwZbd8jEq2PyDEny1fQEBw1B5Ogym4i48cB46n996ZJfp408THR9L71gfi8sw6JBONmPH4yj/U1D0RxbX8KvPz1txM1Y9wqpUoDcA/FD/5IkPAoYbgUDSHgtx1LJftck9NdjoZoqf5FhzrrYh89A+0c4xtSqb5AnhDS25ttopsFCawsAlNQSifbJ/Yj70W9f2bVDRJDRogqKiom8SDyHFEVzeYKVFbnwNVSc8lw1fIilPqYqOVNrRmr3LXK6uvmfrqqHY223xLfgauwWuD2oq3cJOez1l3jcSLaaSrUa5h1kltwXursEiqTV6Qy+QDdP5FEtJTAaNXv/Bx3/iyFIH0v+Qk9Nb1HB1NLb1sYSaLRBC1gVKzTO5p9Qk5iDWJKcw++Jzm8XICw9jkx4a4B2jF8O9BwMxT1+G1Pd9cAU+MatR41khD8fovRfMNOKtUS2iceRD5Iq4pmcw0OolvQNlmrDiAHTsRerLDf45xdpAnqOJE08VUu9SjN55wkqmvwTpJ8HnUKfD/N08z3vNa1YSyVFH9UPOXvri5aXXgLHY3PSSXn1bmxeOCBQ4ANiQBRrzSS5IO1I1PP/4d79ETq85FETCY42SkOqRV0MZp+U7Fb9XNcFCbQJjT6fcZSyW/M525BY2JnHRwn/JY6XcbRdtEgSg6pflNGtqUUud8De5DniKr5vqKiYt5Q8mCpHNFcwydL15WGHFE3BWCJW2I3qPMiMDWNK9CslqUE+DlOqN98MxNopw3V/dPUXrsMjdL2JrmGHBE5IIZRjGPSOfBXiYMjI3d9KilJECui8vr+yw5rxDeuvJelOANayxg+ckMqw15MijsTfD/1rWJfMaOiv4b3aFoQcpgU9+5DIzbRUKCWSnJiY6nMcSOqUCfUedWH8fQKdvVjz+/aMgtUZfV842DEgdRJxz6+igNP04cS/jrdi57ERCP5/WTXDft8Wlf/3BxIGEr6LWR+13xEuvMHJ5gnMiREfC+KCSUHzpdisl/uSqcuSiWtZ5qT7PNJHFvrrk2R+5PxTqyLXUZvAuxE845s9w/db770yTs5qb8hx+wLvi8f5Am+7i+v3zhHBDSqXr+tOoaOZK4ZSyUJnC6M3s2ci0w/ObQyyDkzAlVZXVFRMY8oiWCVEM0VmDzfpwTVjIxUWKrI5CPdySmoqMRjdgfZgA7aIp5yYt1EQeWEeC9X59z+arqjyJg8z4czEBS9uMqfLteSw+M9V7i2JFHz8PScy9LplAZ2UgzjHpdXoYm0uCGV97pqATScqzcOkBslpzAq17Dv2WaKxEBj/VOLFK1c5K7G0XCMGhdG8L3Zvwy3GEczPvR5at300PSxmvVBx8UE2tbaXhxzAQ8iZshRVB3RXCFgKiu9HW2rBD+qTmTCp2wg8dABwGOy+jnioik8eI3GJ+XAezkQ+Q4c6HvR3tJIiQlL6qo2umup4+Jk5/PUu/do1+50zcFj6ThNpHXp2g3pdMoUi6ejUaF8O5WMVyPxIvG8w4u1pcnGCazxV3ejLcLopGd+IJ+mQ3a1bRFyFVN9zmriK+gPE5n6SrvCepcDXQhnOA13I0+I+uSIzOxsxL0GFwG4KITwbvn9tQD+bzQv+aEQwkWYA8xZqlgzO8rMrjazG83sx2b2pnR+pZl91cxuSeWhveqqqKjIYKLw10fOajNbBOB/IsbSHA/gD83s+MylnwkhPDH9zQkRAuaWI5oA8NYQwiYzWwbgejP7KoDXAvhaCOHdZnYB4ibEb+teFTM0ejFIV1i1npHb8CleddcHQlcoimaeu1F2Wv1HlBNa5q5V50cVBYnlyK/QQDsBl7fO6WaBvPaFqaQlyu/FJrtbcONDcmBbfQwWGvHrMjRMJ5XTtJaRMxrXNu5E06fKZbIfNVRmB5p31TS9KuJq+hN/Lftcd25h3/MZvu97QceCP1eyhOU4pX646C54EHmi0x9HdAqArWl7L5jZJYjeYzd2vWuOMGeEKCXaviP9v8vMbkIc9eeg0TJ8ApH570GIFiMOWD8wNdZLCZNm1VuMdm4aBQfGhsxvHOwcaLrBosYabUQzUUrsunp435epj9DdQvwg5oTns2ll8qZw347j0A7wZDBtqvd2r6NxbTwRzW5Xu8TCN873ZXvGUrkajc4mN4mBhrrxux6JtoWS78znqEVzl6uH9/CdmTJELW+E6na6wS8k+p14TF0V+8i7CWhqmRliD/Km+kiIeu1rltu3TFYfAMCLzewMAD8B8JYQwu2Za2aNedERpR0ln4Q4O1e73QB+ibbLMO85H8D58WhmW/JWVDyk0T3W7EDsa3YFgH8JIew2sz9GZBzOnGWdWcw5ITKzRwL4LIA3hxDuM7PJ30IIwcxy6jYk6n1hrOOIEFc2Lw5pYitaimi6GUulX1V5j4aHaIQ97/WKafWD4WqmidA3yfUeanEjciKjcg4aFtBJpRc5qGRdJr+R9WcdO9DETfFaruAk+hencn0qk8i2eSUaUVBj3MhV0BfIi4ra17yX5++U41G0h+eLUvkBOe+TnW2RcwSdOZXTI9ai7ZNG6EKo3DjbCzTfSzMuePA+HQfTxG7MJui1575lIYS73eFFAN47vQb2jzklRGa2GJEIfTqEcHk6vYN7aJvZ4SjLLRnkLuWAu0LOq2l8Au0Pz0mh1hivKyhtJaMWKcLfq3okTlgSpPvk92VoBr3qDUj41PJ2GxpxRJ83JnVwkoyiIaD0Sua7s34SdtbhiU5HzrEu6jKZvoP3+vQc2ucEn886v4M2PiLHuTQrmuuJ4OTn3NKFLOcpr6lE1NkUKLtvjErpM0WOpf85Hng8TUwgbzXrb4PF7wE41syOQez8lwN4hb9A9rp/AdpBfwcMc2k1M8TtNm8KIbzf/fRFAK9J/78GwBfmqg0VFQ9pMFXsDDZYDCFMAPhTAP+OSGAuDSH82Mz+3sxekC7782Tx/gGAP0c0NM0J5pIjOh3AqwFsNrMb0rm/BvBuAJea2esRl/OX9l+lZ3+5onXkGuVgcsnUFKUtfNah7dejqySvVW5kJdocnIqAuTaXFJglJ8xlaIc88LNSQaptOw4NF0GxkJzRmLSRmxmSoznOXcMFsuT75DlQ3sPnkYvSvcl4j+97FY26iT/K9Wr4hHKaOQ5KOdaSqDaBNifEvi9tO7UczZgdS6XmxO4TuxGTzin63HI6hHAl4kaK/tzfuv/fDuDtM2vc9DCXVrNvI99NANJ2D9OG/6gq1lAvsUOu5QRa7M5Rx8EJUzLbbkE7jYRucKiEidd7LrZkCVOxzu95palDFOoACLT3DNsuxzShb0LDhbP/6KXI96FOhfdy8o2hsSrqpKf+peOuBeI7sT46XVJEUmJztJwH2v3XT5yfitsjUirh89C8TvqNu6kI1CKruiPvjDvD9B/Eg8jPsKzWdWFjSDyrKyoqshhCopPDkBEiv5urKhc1tkh9dIBm1dIQDl3NvKikq9aElMp66x5m/toS6OOy012rynYNXfHpQVSkVJ8YvgOvGwPwz+l/ciLsW4o7yq2RA7wKbXFY04xQtGEbvZOfJpBTTsWLpiUrYwlenNOhTS641L8jaG+UUPrGniPjPaUMnjyvYT1A870058rDD0NCiOgJ7MWdkmOcmodJbFahnEOIrDi7I5fmgb9pPp3peMWyDg48tp2E0RMsJV4qwvjE8SQaFL3U0U8JlSeu7B8SoJKIwecdi0bk0vSoms+J1/lvpMGtJEh8vtexaTAvwbbl+kgJKN+ntGmiN9mXAqeJnEio468kUo9LCeSzeU4He/FQ2ep1SAhRRUVFGw8in3Rv+MLvh4QQ7UNckakMHUFbPOAHoYihK1I/2/t2U4by/5Lb0zr53SvAlTvjiqspTHw9XPXVwqaWnFFXLzmSUlYBHyKhTpRsY0eOeR3b+EN3z+ulDuVU9rqSbaTYQ5TCbVai4eym4Wo2eS3fVb87z+fEvZJlVbmcXIyYbiOuObHVDw1oj+HpYhyVEM0rGPTq5XolFhwcHCyqU+kWoKjpYH0AJu8r6SnYDk28DuQ3UPT38FqKJSeirZNSq50Gei53bWM9mtLUW2yAqZsCaMwc5LwSz6PRTHZtq05GH3A6Ib8RbBtzAG2VMge/y4qvwxMsFZlJTJYXfgfKTpYcF7pI5K7tBb+49XtPCZUjqqioGDgmkNcR9elItIAwZITIO+aVop4JVe76lVhXEVXucsXNRUyXxDce57Iu+m2QgEYJqwrizWiUqB1pg+ZThjt+oVyrPk47pFyN9jtqaIfuesr3XI2Gm1DLpHIxpXAVoOkTKuoZJ8f3X4M2x6CpO1gv7+kmwnVSeVyXa8hN67TQ8BTvLOudX4Fm3JUsfv69OJ6PxMxQRbMBwQ80te5sL5z38UElC5gO4NzH1XuJkue2f54SJ73WP08Hrnp06/N3opmQfJ9SwCVjwL6DtrcyJ46a79k2TuCtaCZdaSOBZVLuRHuikgApkaIObCfai8hYKvltyQ3kxLi1cq3uUab7nwFtiyRREqF8kK26DWhMoBePqUYojY9+UUWzioqKgaMSogHBWys0EnoslVyJlFNZi2bVUguY7hbr5W518+eHV9Zbf8/5cpTEuW4WNnJ4GtJCrELZD4X9RWU8HQ7vQ1u3UBJr2CdekV+KbCeoEPaR9pqsXrk41sl2eGugWvRUJMyl4yhdy+/DhPv+m5Q2SmBfKffmQ4D4nTTftWb0XI6mf36I2aFEiIZvG48hI0T8gN6buJTbRTe624KySFYysU6gvKWwpgHJDQhCCZCKRTsz1+pvpXi43HnVzWjyeSBvTgbaifapV1Kxy9eh0PiunWibwEs6L8Kn2tUNChigqyLNSpTzHvF9dA+0HAFW8aobqGOjgyZFvo7Udacr2celzRj7BZNUK6qyuqKiYt4wjny2htLOiwsXQ0KIGOLhrViaubDE4nt/mdIqWLLAjWBqyIGvn9C6uCKPu3q0ftZB5TGTup2Idu6pEsfgo8iVa1NlKzmJXGjEWCo7qdRVWh1FNyOv6AXaTpB+pVcH01ImAp+DXMW4XXJMeO6q5KdE7oZcoY6P5e5/zcZZiuT3UMWz+hzxntPRPXvjdFAiRFVHNEeg/O6JjhKAktMgB8hJaOtSeqWT8OdLBEGd+DgwdqFsUeOkIwHyei51EtRgUNVB7UXZC5vwIi0wNZZKRS/N46S5jdYBeKDwnDVyrT+vxFEdM3PxXSQ4fk8wDyXAuWT2vIZ9tEN+9xsXaB8TuouI3xxSRWedUioC54jQTKfhg5gNIepjX7OlAD4J4MmIMu3LQgidGTa2K+YsQ2NFRcVcg8pq/eutrO5zX7PXA7gnhLAWMVH4ew5Y0wVDwhFxOyGv8CNK2fN09fQWCg2bIOjMx1Uzp6zU6G71MaG/zU6UFdjKufAdNO820N6nrZRtwENFmtx2yL0+vUai8/rthWcCjViZU85TXKPzHp07Sz46ueyY5KLYx2p1Wp2pT/c18+lTeA+Q/9bKDRI+RIhjiSIZvxffvbTzsK9nppiVsrqffc3OAfBf0/+XAfiQmVkI4YBnQRoSQrQXZV1MaaNFxS40r1vaw0pFt5XIWz34G9CedMx02K2tatLl4N2ONiHNpY/wyHkgqw5F6/Qeweo1XAoK5fstxtT94n1ZSqPRQdtkvbZwLbEVbesfJ65uK+2dBUvidskD2o8FtWqyfvYFCWDHtatE6NTSR/j9+RbLtdPBsWfHtue28dgF4GlvAdBtO6F+9jWbvCaEMGFmv0Y0Wd41gwZ3RRXNKiqGEicB+G7ht40ArvlvZnad+zt/Hhs3bQwJR7QEU1f+ZWic9ErOfDmW2IcpAOUkYFzFFrtrVWnMVUyd6rjy+3i4UrI29ZPx59Sf5z75ned9yEBJuZvzsVJrUq/tj71jZemakt/NLrT7QPcfy4loqgD22yH5e7xzqXJCPisl0HAz3XKCaxwe+5PcnE9lorGBypHltoWaTlqTEj67CFizL+4FvsKd/xmAUSbB/9vcnQk99zVz12wzsxEAj0LjiHVAMSSEaD+miiaLUc7lopkTvWWFOgyNKVojJa/bhfZE0YBSFZnGUrkDZbFRJ/06d42mLeGgVcfJ1e68DnYd6Do57kSbgPba/tgvAiU9XD+ZATW/Eb9BLp+TOq2yVB0RCWBOlN4l17Lf+P45QsjfSKzUJSS3cIxJWwi+12zEsDZCCPvNXolohTuHZxE3Nvj57/RRRc99zdBs/fUfAM4D8PW50A8BAxLNzOxsM7vZzLaa2QWDaENFxfDjnw+KhI0qm5sBHIYQgqaTaKHPfc0+CuDRZrYVUd80Z3PV5ojAlR8YzYY/AfD7iAqy7wH4wxDCjeV7jgjAH7szI2jHhc0kT6/Gi+XyXPda9UvhG3vR5pY0AVtuNSYXwJWbdaj/C8UDH6WuKMVO+VW7pNzV7Yp8n5REi5K44y1gveCfW8qkoNYmcou3ufvVqECo35RXvCsHqw6a+t7+vcj5KPekbfTPUXH/bdeHEJ6CacDMzgCe8A3gxYg77f7iqBBCzmKyoDEI0awfs2EPeLOlWqRUZPK/6yBVNlon7nK0PXCJkhdxN9abBKi080MOpU3+PFSXsrpwXTePYJ30Jctbzpk0t/WzR7f39Hvd63P1vUqW0lz9Gpys6U00i6R/zhr5TTNC8v09cdX0v2elkoQvF7Rc8rzvHyGEb5odi7iBwdEIYfvQESFgMKJZzmyoOTphZudT41/25K2oqAC2Pjkucv+hTm5DgwWrrA4hXAjgQgAws18B//U3mAP/hVniMNQ29YOF2CZg4bVLnY76QghhE8q7Kg8FBkGI+jEbTkEI4bfM7Lrpys9zjdqm/rAQ2wQs3HY9HDEI0WzSbGhmSxDNhl8cQDsqKioWCOadI0qu4jQbLgLwsRDCj+e7HRUVFQsHA9ERhRCuBHDlNG+7cC7aMkvUNvWHhdgmYOG262GHefcjqqioqFDUoNeKioqBoxKiioqKgWPBE6KFEJdmZkeZ2dVmdqOZ/djM3pTOrzSzr5rZLak8dABtW2Rm3zezf0vHx5jZxtRfn0mWyflu0wozu8zMtpjZTWb21EH3lZm9JX27H5nZv5jZwQuhryoiFjQh6jOd5XxgAsBbQwjHAzgNwBtTOy4A8LUQwrEAvoY5DArsgjdhasb99wD4QErveQ9ius/5xgcBfCWEsA7A76b2DayvzGwNgD8H8JQQwgmI1tqXY2H0VQUWOCGCi0sLIewBwLi0eUUI4Y7kvYoQwi7EibUmteUT6bJPADh3PttlZkcCeC5itCPMzACciZjWc1BtehSAMxAjtxFC2BNCuBcD7itEC/FoyqtzCIA7MOC+qmiw0AlRX3Fp8wkzGwPwJMQ0eKtDCHekn36JcrTpXOEfAfwVYsImIKbxvDeleAAG01/HAPgVgI8nkfEiM3sEBthXIYTtAN4H4OeIBOjXAK7H4PuqImGhE6IFBTN7JIDPAnhzCGFK4uuUMGrefCHM7HkA7gwhXD9fz+wTI4gbn304hPAkAL+BiGED6KtDETmyYwAcAeARAM6er+dX9MZCJ0TTjkubK5jZYkQi9OkQwuXp9A4zOzz9fjgOTA7QfnE6gBeYWQdRZD0TUTezIokfwGD6axuAbSGEjen4MkTCNMi+OgvArSGEX4UQ9gK4HLH/Bt1XFQkLnRAtiLi0pHv5KICbQgjvdz8xlSZS+YX5alMI4e0hhCNDCGOI/fL1EMIrAVyNmNZz3tuU2vVLALeb2ePTqWch5poaWF8himSnmdkh6VuyTQPtq4oGC96z2syeg6gLYVzauwbQhqcD+BZiNnXqY/4aUU90KYDHImbRemkI4cAkJZ5e+9YD+MsQwvPM7LcROaSVAL4P4FUhhHndg9jMnoioQF+CmM39dYiL3sD6ysz+DsDLEC2g3wfwBkSd0ED7qiJiwROiioqKhz4WumhWUVHxMEAlRBUVFQNHJUQVFRUDRyVEFRUVA0clRBUVFQNHJUQVFRUDRyVEFRUVA0clRBWTSPuev9kdv4u5lyoq5hLVobFiEimzwOUhhJPN7CAAtwA4JYRw92BbVvFQx4Ld6bVi/hFC6JjZ3Wb2JMQ0Hd+vRKhiPlAJUYXiIgCvBfAYAB8bbFMqHi6oolnFFKQsB5sBLAZwbAhh34CbVPEwQOWIKqYghLDHzK5GzF5YiVDFvKASooopSErq0wC8ZNBtqXj4oJrvKyaRdibZirjbxi2Dbk/FwwdVR1RRUTFwVI6ooqJi4KiEqKKiYuCohKiiomLgqISooqJi4KiEqKKiYuD4/wGj3FhilK9OpgAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 288x216 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dataSet_crop.OD.isel(runs=[0]).plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n",
"# dataSet_crop.OD.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0])"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Remove the background"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"dataSet_crop['OD'] = dataSet_crop['OD'] + 500"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"dataSet_crop['OD'] = imageAnalyser.substract_offset(dataSet_crop['OD'])"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Test Fit"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitAnalyser = FitAnalyser(\"Two Gaussian-2D\", fitDim=2)\n",
"\n",
"params = fitAnalyser.guess(dataSet_crop.OD, dask=\"parallelized\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitResult = fitAnalyser.fit(dataSet_crop.OD, params).load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(100), y=np.arange(100), dask=\"parallelized\").load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# fitCurve.isel(**{scanAxis[0]:np.arange(30), 'runs':range(dataSet_crop.OD['runs'].size)}).plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n",
"\n",
"fitCurve.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"a = fitAnalyser.get_fit_value(fitResult)\n",
"b = fitAnalyser.get_fit_std(fitResult)\n",
"data = combine_uncertainty(a, b)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get the Ncount"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Ncount = dataSet_crop.OD.sum(dim=(scanAxis[0], 'x', 'y'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Ncount.load()\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"Ncount.plot(ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitAnalyser = FitAnalyser(\"Lorentzian With Offset\")\n",
"params = fitAnalyser.guess(Ncount, x='sin_mod_freq', dask=\"parallelized\", guess_kwargs=dict(negative=True))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitResult = fitAnalyser.fit(Ncount, params, x='sin_mod_freq', dask=\"parallelized\")\n",
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(40), dask=\"parallelized\").load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"plt.errorbar([1], [1], yerr=[1])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fitCurve.plot.errorbar(yerr=fitCurve)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"np.ufunc(fitCurve)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "env",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10 (tags/v3.8.10:3d8993a, May 3 2021, 11:48:03) [MSC v.1928 64 bit (AMD64)]"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "c05913ad4f24fdc6b2418069394dc5835b1981849b107c9ba6df693aafd66650"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}