4987 lines
4.4 MiB
Plaintext
4987 lines
4.4 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# How to fit data"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"In lots of times, we need to fit our data with different lineshapes. We implenment the fitting function using lmfit package. Here is a link to the official document of lmfit\n",
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"\n",
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"https://lmfit.github.io/lmfit-py/\n",
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"\n",
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"Fortunately, one don't need to read and understand everything to do a fit, but just a few concepts and tools\n",
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"\n",
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"- Models. An object of Model() class in lmfit package is a slover for certain cureve. The lmfit package and we alread defined lots of models, and it is also possible and easy to define a new model for a new curve.\n",
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"- Parameters. The fit is usually sensitive to the initial values and boundary conditions. Parameters() is a class, which hold all these information for a fit.\n",
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"- Fit Reasult. In the lmfit package, the reulst of fit is also a class, but we implenment some functions to translate it into numbers.\n",
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"\n",
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"Let's start again with some examples."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Load some example data"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import supporting packages"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Set the system path for importing packages\n",
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"# This is just because I put all example scripts in another folder\n",
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"# You DO NOT need to do this \n",
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"# -------------- You do NOT need following part --------------\n",
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"import sys\n",
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"import os\n",
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"sys.path.insert(0, os.path.abspath('..'))\n",
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"# -------------- You do NOT need above part --------------\n",
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"\n",
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"import copy\n",
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"import glob\n",
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"from datetime import datetime\n",
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"\n",
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"# The package for data structure\n",
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"import xarray as xr\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"# The packages for working with uncertainties\n",
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"from uncertainties import ufloat\n",
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"from uncertainties import unumpy as unp\n",
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"from uncertainties import umath\n",
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"\n",
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"# The package for plotting\n",
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"import matplotlib.pyplot as plt\n",
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"plt.rcParams['font.size'] = 18 # Set the global font size\n",
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"\n",
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"# -------------- The modules written by us --------------\n",
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"\n",
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"# The packages for read data\n",
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"from DataContainer.ReadData import read_hdf5_file, read_hdf5_global, read_hdf5_run_time, read_csv_file\n",
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"\n",
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"# The packages for data analysis\n",
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"from Analyser.ImagingAnalyser import ImageAnalyser\n",
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"from Analyser.FitAnalyser import FitAnalyser\n",
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"from Analyser.FitAnalyser import ThomasFermi2dModel, DensityProfileBEC2dModel, Polylog22dModel\n",
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"from Analyser.FFTAnalyser import fft, ifft, fft_nutou\n",
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"from ToolFunction.ToolFunction import *\n",
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"\n",
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"# Add errorbar plot to xarray package\n",
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"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
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"xr.plot.dataarray_plot.errorbar = errorbar\n",
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"xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Start a client for parallel computing"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-4613caa9-20c7-11ee-8414-80e82ce2fa8e</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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"\n",
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" <tr>\n",
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" \n",
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" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
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" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
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" \n",
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" </tr>\n",
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"\n",
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" \n",
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" <tr>\n",
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" <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",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" \n",
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"\n",
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" </table>\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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" <details>\n",
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" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
|
||
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" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
|
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" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
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" </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">0611b212</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
|
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" <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",
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" <td style=\"text-align: left;\">\n",
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" <strong>Workers:</strong> 6\n",
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" </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads:</strong> 60\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total memory:</strong> 55.88 GiB\n",
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" </td>\n",
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" </tr>\n",
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" \n",
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" <tr>\n",
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" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
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" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
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"</tr>\n",
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"\n",
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" \n",
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" </table>\n",
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"\n",
|
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" <details>\n",
|
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" <summary style=\"margin-bottom: 20px;\">\n",
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" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
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" </summary>\n",
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"\n",
|
||
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" <div style=\"\">\n",
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" <div>\n",
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" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
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||
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-d40156cf-ceb8-45b9-8b27-2ddcdca85973</p>\n",
|
||
|
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" <table style=\"width: 100%; text-align: left;\">\n",
|
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|
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" <tr>\n",
|
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" <td style=\"text-align: left;\">\n",
|
||
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" <strong>Comm:</strong> tcp://127.0.0.1:65093\n",
|
||
|
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" </td>\n",
|
||
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" <td style=\"text-align: left;\">\n",
|
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" <strong>Workers:</strong> 6\n",
|
||
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" </td>\n",
|
||
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" </tr>\n",
|
||
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" <tr>\n",
|
||
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" <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",
|
||
|
|
" </td>\n",
|
||
|
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" <td style=\"text-align: left;\">\n",
|
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" <strong>Total threads:</strong> 60\n",
|
||
|
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" </td>\n",
|
||
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" </tr>\n",
|
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" <tr>\n",
|
||
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" <td style=\"text-align: left;\">\n",
|
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" <strong>Started:</strong> Just now\n",
|
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" </td>\n",
|
||
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" <td style=\"text-align: left;\">\n",
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" <strong>Total memory:</strong> 55.88 GiB\n",
|
||
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" </td>\n",
|
||
|
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" </tr>\n",
|
||
|
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" </table>\n",
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" </div>\n",
|
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" </div>\n",
|
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"\n",
|
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" <details style=\"margin-left: 48px;\">\n",
|
||
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" <summary style=\"margin-bottom: 20px;\">\n",
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" <h3 style=\"display: inline;\">Workers</h3>\n",
|
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" </summary>\n",
|
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"\n",
|
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" \n",
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" <div style=\"margin-bottom: 20px;\">\n",
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" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <details>\n",
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" <summary>\n",
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" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
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" </summary>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:65133\n",
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads: </strong> 10\n",
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" </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:65135/status\" target=\"_blank\">http://127.0.0.1:65135/status</a>\n",
|
||
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" </td>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Memory: </strong> 9.31 GiB\n",
|
||
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" </td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:65096\n",
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" </td>\n",
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <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-q9qzw1g5\n",
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" </td>\n",
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" </tr>\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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" </table>\n",
|
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" </details>\n",
|
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" </div>\n",
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" </div>\n",
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" \n",
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" <div style=\"margin-bottom: 20px;\">\n",
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" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <details>\n",
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" <summary>\n",
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" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
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" </summary>\n",
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||
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" <table style=\"width: 100%; text-align: left;\">\n",
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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||
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" <strong>Comm: </strong> tcp://127.0.0.1:65130\n",
|
||
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" </td>\n",
|
||
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" <td style=\"text-align: left;\">\n",
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" <strong>Total threads: </strong> 10\n",
|
||
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" </td>\n",
|
||
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" </tr>\n",
|
||
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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||
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:65131/status\" target=\"_blank\">http://127.0.0.1:65131/status</a>\n",
|
||
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" </td>\n",
|
||
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" <td style=\"text-align: left;\">\n",
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||
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" <strong>Memory: </strong> 9.31 GiB\n",
|
||
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" </td>\n",
|
||
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" </tr>\n",
|
||
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" <tr>\n",
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" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:65097\n",
|
||
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" </td>\n",
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||
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" <td style=\"text-align: left;\"></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <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-yf6omtw_\n",
|
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" </td>\n",
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" </tr>\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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" </table>\n",
|
||
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" </details>\n",
|
||
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" </div>\n",
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" </div>\n",
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" \n",
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" <div style=\"margin-bottom: 20px;\">\n",
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" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
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" <div style=\"margin-left: 48px;\">\n",
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" <details>\n",
|
||
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" <summary>\n",
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" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
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" </summary>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
|
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" <tr>\n",
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|
|
" <td style=\"text-align: left;\">\n",
|
||
|
|
" <strong>Comm: </strong> tcp://127.0.0.1:65122\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://127.0.0.1:65125/status\" target=\"_blank\">http://127.0.0.1:65125/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://127.0.0.1:65098\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\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-5nbwryjk\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://127.0.0.1:65127\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://127.0.0.1:65128/status\" target=\"_blank\">http://127.0.0.1:65128/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://127.0.0.1:65099\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\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-hgtibcnt\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://127.0.0.1:65111\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://127.0.0.1:65123/status\" target=\"_blank\">http://127.0.0.1:65123/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://127.0.0.1:65100\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\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-m3aoctgg\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://127.0.0.1:65134\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://127.0.0.1:65136/status\" target=\"_blank\">http://127.0.0.1:65136/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://127.0.0.1:65101\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\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-c5mnml_p\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://127.0.0.1:65093' processes=6 threads=60, memory=55.88 GiB>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 2,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"from dask.distributed import Client\n",
|
||
|
|
"client = Client(n_workers=6, threads_per_worker=10, processes=True, memory_limit='10GB')\n",
|
||
|
|
"client"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Set the path for different cameras"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 3,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"groupList = [\n",
|
||
|
|
" \"images/MOT_3D_Camera/in_situ_absorption\",\n",
|
||
|
|
" \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n",
|
||
|
|
" \"images/ODT_2_Axis_Camera/in_situ_absorption\",\n",
|
||
|
|
"]\n",
|
||
|
|
"\n",
|
||
|
|
"# give a short name to each path (or let's say each camera)\n",
|
||
|
|
"dskey = {\n",
|
||
|
|
" \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_0\",\n",
|
||
|
|
" \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_1\",\n",
|
||
|
|
" \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_2\",\n",
|
||
|
|
"}"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Set global path for experiment"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 4,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"img_dir = '//DyLabNAS/Data/'\n",
|
||
|
|
"SequenceName = \"Evaporative_Cooling\" + \"/\"\n",
|
||
|
|
"folderPath = img_dir + SequenceName + '2023/04/17'# get_date()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Load shot 0058"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 5,
|
||
|
|
"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",
|
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"<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",
|
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|
|
"<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",
|
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|
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"<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'><xarray.Dataset>\n",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11, y: 1200, x: 1920)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" atoms (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" background (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" dark (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" shotNum (runs, truncation_value) <U2 dask.array<chunksize=(5, 11), meta=np.ndarray>\n",
|
||
|
|
"Attributes: (12/100)\n",
|
||
|
|
" TOF_free: 0.02\n",
|
||
|
|
" abs_img_freq: 110.866\n",
|
||
|
|
" absorption_imaging_flag: True\n",
|
||
|
|
" backup_data: True\n",
|
||
|
|
" blink_off_time: nan\n",
|
||
|
|
" blink_on_time: nan\n",
|
||
|
|
" ... ...\n",
|
||
|
|
" z_offset: 0.195\n",
|
||
|
|
" z_offset_img: 0.195\n",
|
||
|
|
" truncation_value: [0.8 0.83 0.85 0.87 0.89 0.91 0.93 0....\n",
|
||
|
|
" runs: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1...\n",
|
||
|
|
" scanAxis: ['runs' 'truncation_value']\n",
|
||
|
|
" scanAxisLength: [55. 55.]</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-ec3b910b-3d18-4769-bdc2-827e72b00431' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec3b910b-3d18-4769-bdc2-827e72b00431' 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>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li><li><span>y</span>: 1200</li><li><span>x</span>: 1920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-239c173f-d00a-42d3-99e4-060709823c45' class='xr-section-summary-in' type='checkbox' checked><label for='section-239c173f-d00a-42d3-99e4-060709823c45' 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'>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 3.0 4.0</div><input id='attrs-64afd3ff-7f3e-44e0-8602-f7e2b00b7027' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64afd3ff-7f3e-44e0-8602-f7e2b00b7027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb645573-4da5-439b-9c4d-b2d2327c525d' class='xr-var-data-in' type='checkbox'><label for='data-fb645573-4da5-439b-9c4d-b2d2327c525d' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-3df46cb1-d92c-4f4f-bac6-cba0f15cce48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3df46cb1-d92c-4f4f-bac6-cba0f15cce48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fbfc786-31bf-4345-b3e3-9e3aa3d3278b' class='xr-var-data-in' type='checkbox'><label for='data-2fbfc786-31bf-4345-b3e3-9e3aa3d3278b' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9afbc3f3-bcfc-4c3b-a80e-937ef53cc96d' class='xr-section-summary-in' type='checkbox' checked><label for='section-9afbc3f3-bcfc-4c3b-a80e-937ef53cc96d' class='xr-section-summary' >Data variables: <span>(4)</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, truncation_value, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray></div><input id='attrs-d7c86493-d59e-4a1d-9fa6-c474321decae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7c86493-d59e-4a1d-9fa6-c474321decae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-324ff4f1-8047-4f58-aa26-6fca41d77010' class='xr-var-data-in' type='checkbox'><label for='data-324ff4f1-8047-
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" <tr>\n",
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" <td>\n",
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" <table style=\"border-collapse: collapse;\">\n",
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" <thead>\n",
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" <tr>\n",
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" <td> </td>\n",
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" <th> Array </th>\n",
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" <th> Chunk </th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" \n",
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" <tr>\n",
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" <th> Bytes </th>\n",
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" <td> 241.70 MiB </td>\n",
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" <td> 241.70 MiB </td>\n",
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" </tr>\n",
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" \n",
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" <tr>\n",
|
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" <th> Shape </th>\n",
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" <td> (5, 11, 1200, 1920) </td>\n",
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" <td> (5, 11, 1200, 1920) </td>\n",
|
||
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" </tr>\n",
|
||
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" <tr>\n",
|
||
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" <th> Dask graph </th>\n",
|
||
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" <td colspan=\"2\"> 1 chunks in 178 graph layers </td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
||
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" <th> Data type </th>\n",
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" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(runs, truncation_value, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray></div><input id='attrs-2307e64e-76a8-42c6-9d20-379c437969e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2307e64e-76a8-42c6-9d20-379c437969e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3942edbe-08c4-4e27-8dac-395754cf8da3' class='xr-var-data-in' type='checkbox'><label for='data-3942edbe-08c4-4e27-8dac-395754cf8da3' 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",
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||
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" <td>\n",
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" <table style=\"border-collapse: collapse;\">\n",
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" <thead>\n",
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||
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" <tr>\n",
|
||
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" <td> </td>\n",
|
||
|
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" <th> Array </th>\n",
|
||
|
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" <th> Chunk </th>\n",
|
||
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" </tr>\n",
|
||
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" </thead>\n",
|
||
|
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" <tbody>\n",
|
||
|
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" \n",
|
||
|
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" <tr>\n",
|
||
|
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" <th> Bytes </th>\n",
|
||
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" <td> 241.70 MiB </td>\n",
|
||
|
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" <td> 241.70 MiB </td>\n",
|
||
|
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" </tr>\n",
|
||
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" \n",
|
||
|
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" <tr>\n",
|
||
|
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" <th> Shape </th>\n",
|
||
|
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" <td> (5, 11, 1200, 1920) </td>\n",
|
||
|
|
" <td> (5, 11, 1200, 1920) </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Dask graph </th>\n",
|
||
|
|
" <td colspan=\"2\"> 1 chunks in 178 graph layers </td>\n",
|
||
|
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" </tr>\n",
|
||
|
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" <tr>\n",
|
||
|
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" <th> Data type </th>\n",
|
||
|
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" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
|
||
|
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" </tr>\n",
|
||
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" </tbody>\n",
|
||
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" </table>\n",
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" </td>\n",
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" <td>\n",
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|
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" </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, truncation_value, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray></div><input id='attrs-36fa9db8-eb6a-4b39-8a61-c8342758fd08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36fa9db8-eb6a-4b39-8a61-c8342758fd08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28e9048f-5431-4322-a419-f0f2157bfc19' class='xr-var-data-in' type='checkbox'><label for='data-28e9048f-5431-4322-a419-f0f2157bfc19' 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",
|
||
|
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" <td>\n",
|
||
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" <table style=\"border-collapse: collapse;\">\n",
|
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" <thead>\n",
|
||
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" <tr>\n",
|
||
|
|
" <td> </td>\n",
|
||
|
|
" <th> Array </th>\n",
|
||
|
|
" <th> Chunk </th>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" </thead>\n",
|
||
|
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" <tbody>\n",
|
||
|
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" \n",
|
||
|
|
" <tr>\n",
|
||
|
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" <th> Bytes </th>\n",
|
||
|
|
" <td> 241.70 MiB </td>\n",
|
||
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" <td> 241.70 MiB </td>\n",
|
||
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" </tr>\n",
|
||
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" \n",
|
||
|
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" <tr>\n",
|
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" <th> Shape </th>\n",
|
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|
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" <td> (5, 11, 1200, 1920) </td>\n",
|
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|
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" <td> (5, 11, 1200, 1920) </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Dask graph </th>\n",
|
||
|
|
" <td colspan=\"2\"> 1 chunks in 178 graph layers </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Data type </th>\n",
|
||
|
|
" <td colspan=\"2\"> uint16 numpy.ndarray </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" </tbody>\n",
|
||
|
|
" </table>\n",
|
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" </td>\n",
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" <td>\n",
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"</svg>\n",
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|
" </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, truncation_value)</div><div class='xr-var-dtype'><U2</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(5, 11), meta=np.ndarray></div><input id='attrs-39abf5c9-9123-4edc-92d2-aed52d10ab01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39abf5c9-9123-4edc-92d2-aed52d10ab01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8f13c46-bce7-4fa1-9e6a-43e8cedc2a4c' class='xr-var-data-in' type='checkbox'><label for='data-a8f13c46-bce7-4fa1-9e6a-43e8cedc2a4c' 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",
|
||
|
|
" <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> 440 B </td>\n",
|
||
|
|
" <td> 440 B </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" \n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Shape </th>\n",
|
||
|
|
" <td> (5, 11) </td>\n",
|
||
|
|
" <td> (5, 11) </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <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\"> <U2 numpy.ndarray </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" </tbody>\n",
|
||
|
|
" </table>\n",
|
||
|
|
" </td>\n",
|
||
|
|
" <td>\n",
|
||
|
|
" <svg width=\"170\" height=\"104\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
|
||
|
|
"\n",
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|
" <!-- Horizontal lines -->\n",
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|
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|
"\n",
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|
" <!-- Text -->\n",
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" <text x=\"60.000000\" y=\"74.545455\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11</text>\n",
|
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|
|
" <text x=\"140.000000\" y=\"27.272727\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,27.272727)\">5</text>\n",
|
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|
|
"</svg>\n",
|
||
|
|
" </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8b69ed0-eb12-4488-8098-399d805f04d3' class='xr-section-summary-in' type='checkbox' ><label for='section-c8b69ed0-eb12-4488-8098-399d805f04d3' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e9bb37c1-4cb1-42db-81d6-a8b9dd8c294f' class='xr-index-data-in' type='checkbox'/><label for='index-e9bb37c1-4cb1-42db-81d6-a8b9dd8c294f' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9aa607a4-9dd5-4d66-9612-376a3237271b' class='xr-index-data-in' type='checkbox'/><label for='index-9aa607a4-9dd5-4d66-9612-376a3237271b' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b2a6f36-619e-4ce3-9322-273f97d88c28' class='xr-section-summary-in' type='checkbox' ><label for='section-5b2a6f36-619e-4ce3-9322-273f97d88c28' class='xr-section-summary' >Attributes: <span>(100)</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>110.866</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>0.195</dd><dt><span>compZ_final_current :</span></dt><dd>0.287</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>0</dd><dt><span>evap_1_final_pow_1 :</span></dt><dd>4.8</dd><dt><span>evap_1_final_pow_2 :</span></dt><dd>2.2</dd><dt><span>evap_1_final_pow_3 :</span></dt><dd>1.2</dd><dt><span>evap_1_final_pow_4 :</span></dt><dd>0.526</dd><dt><span>evap_1_ramp_duration_1 :</span></dt><dd>0.15</dd><dt><span>evap_1_ramp_duration_2 :</span></dt><dd>0.3</dd><dt><span>evap_1_ramp_duration_3 :</span></dt><dd>0.2</dd><dt><span>evap_1_ramp_duration_4 :</span></dt><dd>0.5</dd><dt><span>evap_1_start_pow_1 :</span></dt><dd>7</dd><dt><span>evap_1_start_pow_2 :</span></dt><dd>4.8</dd><dt><span>evap_1_start_pow_3 :</span></dt><dd>2.2</dd><dt><span>evap_1_start_pow_4 :</span></dt><dd>1.2</dd><dt><span>evap_2_final_pow_1 :</span></dt><dd>0.35</dd><dt><span>evap_2_ramp_duration_1 :</span></dt><dd>0.5</dd><dt><span>evap_2_start_pow_1 :</span></dt><dd>0.526</dd><dt><span>evap_3_arm_1_final_pow :</span></dt><dd>0.037</dd><dt><span>evap_3_arm_1_start_pow :</span></dt><dd>0.35</dd><dt><span>evap_3_ar
|
||
|
|
" 0.87 0.89 0.91 0.93 0.95 0.97 0.99 1. 0.8 0.83 0.85 0.87 0.89 0.91\n",
|
||
|
|
" 0.93 0.95 0.97 0.99 1. 0.8 0.83 0.85 0.87 0.89 0.91 0.93 0.95 0.97\n",
|
||
|
|
" 0.99 1. 0.8 0.83 0.85 0.87 0.89 0.91 0.93 0.95 0.97 0.99 1. ]</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",
|
||
|
|
" 2. 2. 2. 2. 2. 2. 2. 2. 2. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 4. 4. 4. 4.\n",
|
||
|
|
" 4. 4. 4. 4. 4. 4. 4.]</dd><dt><span>scanAxis :</span></dt><dd>['runs' 'truncation_value']</dd><dt><span>scanAxisLength :</span></dt><dd>[55. 55.]</dd></dl></div></li></ul></div></div>"
|
||
|
|
],
|
||
|
|
"text/plain": [
|
||
|
|
"<xarray.Dataset>\n",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11, y: 1200, x: 1920)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" atoms (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" background (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" dark (runs, truncation_value, y, x) uint16 dask.array<chunksize=(5, 11, 1200, 1920), meta=np.ndarray>\n",
|
||
|
|
" shotNum (runs, truncation_value) <U2 dask.array<chunksize=(5, 11), meta=np.ndarray>\n",
|
||
|
|
"Attributes: (12/100)\n",
|
||
|
|
" TOF_free: 0.02\n",
|
||
|
|
" abs_img_freq: 110.866\n",
|
||
|
|
" absorption_imaging_flag: True\n",
|
||
|
|
" backup_data: True\n",
|
||
|
|
" blink_off_time: nan\n",
|
||
|
|
" blink_on_time: nan\n",
|
||
|
|
" ... ...\n",
|
||
|
|
" z_offset: 0.195\n",
|
||
|
|
" z_offset_img: 0.195\n",
|
||
|
|
" truncation_value: [0.8 0.83 0.85 0.87 0.89 0.91 0.93 0....\n",
|
||
|
|
" runs: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1...\n",
|
||
|
|
" scanAxis: ['runs' 'truncation_value']\n",
|
||
|
|
" scanAxisLength: [55. 55.]"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 5,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"shotNum = \"0058\"\n",
|
||
|
|
"filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n",
|
||
|
|
"\n",
|
||
|
|
"dataSetDict = {\n",
|
||
|
|
" dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n",
|
||
|
|
" for i in [0] # range(len(groupList)) # uncommont to load data for all three cameras\n",
|
||
|
|
"}\n",
|
||
|
|
"dataSet = dataSetDict[\"camera_0\"]\n",
|
||
|
|
"\n",
|
||
|
|
"dataSet = swap_xy(dataSet)\n",
|
||
|
|
"\n",
|
||
|
|
"scanAxis = get_scanAxis(dataSet)\n",
|
||
|
|
"\n",
|
||
|
|
"dataSet = auto_rechunk(dataSet)\n",
|
||
|
|
"\n",
|
||
|
|
"dataSet"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Calculate the absorption imaging"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 6,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/html": [
|
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|
|
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
|
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|
|
"<defs>\n",
|
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|
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"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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|
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"<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",
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"</symbol>\n",
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|
||
|
|
"</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'><xarray.DataArray 'OD' (runs: 5, truncation_value: 11, y: 300, x: 300)>\n",
|
||
|
|
"array([[[[ 0.10089884, 0.0696463 , 0.05767011, ..., 0.01963588,\n",
|
||
|
|
" -0.0650863 , -0.00446167],\n",
|
||
|
|
" [ 0.10342729, 0.04260584, 0.02118076, ..., 0.11194868,\n",
|
||
|
|
" 0.00723437, -0.0801735 ],\n",
|
||
|
|
" [ 0.00780842, 0.00827735, -0.02827232, ..., -0.02693453,\n",
|
||
|
|
" -0.00446167, 0.0622297 ],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [-0.1117072 , -0.0575715 , -0.03836323, ..., -0.05152918,\n",
|
||
|
|
" -0.02529576, 0.00751452],\n",
|
||
|
|
" [ 0.12183205, 0.03190597, 0.01355683, ..., -0.02573907,\n",
|
||
|
|
" -0.05682966, -0.00446167],\n",
|
||
|
|
" [ 0.03475904, 0.0325796 , 0.07721636, ..., 0.02662891,\n",
|
||
|
|
" -0.05738408, 0.00751452]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05613155, -0.10849043, 0.05082337, ..., 0.09902547,\n",
|
||
|
|
" 0.01710835, 0.03692657],\n",
|
||
|
|
" [-0.08110418, -0.09280022, 0.01710835, ..., -0.04168176,\n",
|
||
|
|
" -0.15458948, 0.00483825],\n",
|
||
|
|
" [-0.07212279, -0.00743184, -0.05653069, ..., -0.18356235,\n",
|
||
|
|
" -0.01621516, -0.07006305],\n",
|
||
|
|
"...\n",
|
||
|
|
" [ 0.15678264, 0.09630046, 0.1255301 , ..., -0.00355249,\n",
|
||
|
|
" 0.01855798, -0.00499196],\n",
|
||
|
|
" [ 0.00774706, -0.07926432, 0.0260962 , ..., -0.01447608,\n",
|
||
|
|
" -0.03527032, 0.04126975],\n",
|
||
|
|
" [-0.01094507, -0.16745703, -0.0624572 , ..., 0.07159853,\n",
|
||
|
|
" 0.01769739, -0.06124581]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05950001, 0.0086876 , -0.02921711, ..., 0.04073558,\n",
|
||
|
|
" -0.00421581, -0.04723319],\n",
|
||
|
|
" [-0.0555091 , -0.11475768, -0.05360856, ..., -0.01551536,\n",
|
||
|
|
" 0.03087551, -0.00421581],\n",
|
||
|
|
" [ 0.03352452, -0.01663833, 0.01931469, ..., 0.01752418,\n",
|
||
|
|
" -0.02504989, 0.04815218],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [ 0.03087551, 0.05294261, -0.13050953, ..., -0.0277463 ,\n",
|
||
|
|
" -0.05020092, -0.04014782],\n",
|
||
|
|
" [ 0.03352452, -0.04422114, -0.06030527, ..., -0.06009626,\n",
|
||
|
|
" -0.03467501, 0.09642772],\n",
|
||
|
|
" [-0.04125708, 0.01447633, 0.07129175, ..., 0.06247557,\n",
|
||
|
|
" -0.05947848, -0.01538911]]]])\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300</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 class='xr-has-index'>runs</span>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li><li><span>y</span>: 300</li><li><span>x</span>: 300</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-769a2585-d324-4a83-b0ba-1f03e504aa21' class='xr-array-in' type='checkbox' checked><label for='section-769a2585-d324-4a83-b0ba-1f03e504aa21' 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>0.1009 0.06965 0.05767 0.08365 ... -0.05714 0.06248 -0.05948 -0.01539</span></div><div class='xr-array-data'><pre>array([[[[ 0.10089884, 0.0696463 , 0.05767011, ..., 0.01963588,\n",
|
||
|
|
" -0.0650863 , -0.00446167],\n",
|
||
|
|
" [ 0.10342729, 0.04260584, 0.02118076, ..., 0.11194868,\n",
|
||
|
|
" 0.00723437, -0.0801735 ],\n",
|
||
|
|
" [ 0.00780842, 0.00827735, -0.02827232, ..., -0.02693453,\n",
|
||
|
|
" -0.00446167, 0.0622297 ],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [-0.1117072 , -0.0575715 , -0.03836323, ..., -0.05152918,\n",
|
||
|
|
" -0.02529576, 0.00751452],\n",
|
||
|
|
" [ 0.12183205, 0.03190597, 0.01355683, ..., -0.02573907,\n",
|
||
|
|
" -0.05682966, -0.00446167],\n",
|
||
|
|
" [ 0.03475904, 0.0325796 , 0.07721636, ..., 0.02662891,\n",
|
||
|
|
" -0.05738408, 0.00751452]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05613155, -0.10849043, 0.05082337, ..., 0.09902547,\n",
|
||
|
|
" 0.01710835, 0.03692657],\n",
|
||
|
|
" [-0.08110418, -0.09280022, 0.01710835, ..., -0.04168176,\n",
|
||
|
|
" -0.15458948, 0.00483825],\n",
|
||
|
|
" [-0.07212279, -0.00743184, -0.05653069, ..., -0.18356235,\n",
|
||
|
|
" -0.01621516, -0.07006305],\n",
|
||
|
|
"...\n",
|
||
|
|
" [ 0.15678264, 0.09630046, 0.1255301 , ..., -0.00355249,\n",
|
||
|
|
" 0.01855798, -0.00499196],\n",
|
||
|
|
" [ 0.00774706, -0.07926432, 0.0260962 , ..., -0.01447608,\n",
|
||
|
|
" -0.03527032, 0.04126975],\n",
|
||
|
|
" [-0.01094507, -0.16745703, -0.0624572 , ..., 0.07159853,\n",
|
||
|
|
" 0.01769739, -0.06124581]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05950001, 0.0086876 , -0.02921711, ..., 0.04073558,\n",
|
||
|
|
" -0.00421581, -0.04723319],\n",
|
||
|
|
" [-0.0555091 , -0.11475768, -0.05360856, ..., -0.01551536,\n",
|
||
|
|
" 0.03087551, -0.00421581],\n",
|
||
|
|
" [ 0.03352452, -0.01663833, 0.01931469, ..., 0.01752418,\n",
|
||
|
|
" -0.02504989, 0.04815218],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [ 0.03087551, 0.05294261, -0.13050953, ..., -0.0277463 ,\n",
|
||
|
|
" -0.05020092, -0.04014782],\n",
|
||
|
|
" [ 0.03352452, -0.04422114, -0.06030527, ..., -0.06009626,\n",
|
||
|
|
" -0.03467501, 0.09642772],\n",
|
||
|
|
" [-0.04125708, 0.01447633, 0.07129175, ..., 0.06247557,\n",
|
||
|
|
" -0.05947848, -0.01538911]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-00514b98-0ee4-4240-a295-791fb1737634' class='xr-section-summary-in' type='checkbox' checked><label for='section-00514b98-0ee4-4240-a295-791fb1737634' 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'>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 3.0 4.0</div><input id='attrs-1d59f5dd-93eb-4929-a332-894155a2daa6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d59f5dd-93eb-4929-a332-894155a2daa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9abc84b6-c45b-4d56-b55d-5b41e13663cf' class='xr-var-data-in' type='checkbox'><label for='data-9abc84b6-c45b-4d56-b55d-5b41e13663cf' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-16638bd4-b90b-46c6-bc5d-1867bf0f7774' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16638bd4-b90b-46c6-bc5d-1867bf0f7774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-448a77b4-362b-4007-8580-176dde198a73' class='xr-var-data-in' type='checkbox'><label for='data-448a77b4-362b-4007-8580-176dde198a73' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff9e9ae6-069c-4f99-b734-66f1a7d76276' class='xr-section-summary-in' type='checkbox' ><label for='section-ff9e9ae6-069c-4f99-b734-66f1a7d76276' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-baafe7cc-2943-4b22-84d0-c0999519176e' class='xr-index-data-in' type='checkbox'/><label for='index-baafe7cc-2943-4b22-84d0-c0999519176e' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e695e9d6-3555-4340-b899-24f2e3f56859' class='xr-index-data-in' type='checkbox'/><label for='index-e695e9d6-3555-4340-b899-24f2e3f56859' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bdb9df9e-cf6b-42e3-8c6c-098aeb0df406' class='xr-section-summary-in' type='checkbox' ><label for='section-bdb9df9e-cf6b-42e3-8c6c-098aeb0df406' class='xr-section-
|
||
|
|
],
|
||
|
|
"text/plain": [
|
||
|
|
"<xarray.DataArray 'OD' (runs: 5, truncation_value: 11, y: 300, x: 300)>\n",
|
||
|
|
"array([[[[ 0.10089884, 0.0696463 , 0.05767011, ..., 0.01963588,\n",
|
||
|
|
" -0.0650863 , -0.00446167],\n",
|
||
|
|
" [ 0.10342729, 0.04260584, 0.02118076, ..., 0.11194868,\n",
|
||
|
|
" 0.00723437, -0.0801735 ],\n",
|
||
|
|
" [ 0.00780842, 0.00827735, -0.02827232, ..., -0.02693453,\n",
|
||
|
|
" -0.00446167, 0.0622297 ],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [-0.1117072 , -0.0575715 , -0.03836323, ..., -0.05152918,\n",
|
||
|
|
" -0.02529576, 0.00751452],\n",
|
||
|
|
" [ 0.12183205, 0.03190597, 0.01355683, ..., -0.02573907,\n",
|
||
|
|
" -0.05682966, -0.00446167],\n",
|
||
|
|
" [ 0.03475904, 0.0325796 , 0.07721636, ..., 0.02662891,\n",
|
||
|
|
" -0.05738408, 0.00751452]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05613155, -0.10849043, 0.05082337, ..., 0.09902547,\n",
|
||
|
|
" 0.01710835, 0.03692657],\n",
|
||
|
|
" [-0.08110418, -0.09280022, 0.01710835, ..., -0.04168176,\n",
|
||
|
|
" -0.15458948, 0.00483825],\n",
|
||
|
|
" [-0.07212279, -0.00743184, -0.05653069, ..., -0.18356235,\n",
|
||
|
|
" -0.01621516, -0.07006305],\n",
|
||
|
|
"...\n",
|
||
|
|
" [ 0.15678264, 0.09630046, 0.1255301 , ..., -0.00355249,\n",
|
||
|
|
" 0.01855798, -0.00499196],\n",
|
||
|
|
" [ 0.00774706, -0.07926432, 0.0260962 , ..., -0.01447608,\n",
|
||
|
|
" -0.03527032, 0.04126975],\n",
|
||
|
|
" [-0.01094507, -0.16745703, -0.0624572 , ..., 0.07159853,\n",
|
||
|
|
" 0.01769739, -0.06124581]],\n",
|
||
|
|
"\n",
|
||
|
|
" [[ 0.05950001, 0.0086876 , -0.02921711, ..., 0.04073558,\n",
|
||
|
|
" -0.00421581, -0.04723319],\n",
|
||
|
|
" [-0.0555091 , -0.11475768, -0.05360856, ..., -0.01551536,\n",
|
||
|
|
" 0.03087551, -0.00421581],\n",
|
||
|
|
" [ 0.03352452, -0.01663833, 0.01931469, ..., 0.01752418,\n",
|
||
|
|
" -0.02504989, 0.04815218],\n",
|
||
|
|
" ...,\n",
|
||
|
|
" [ 0.03087551, 0.05294261, -0.13050953, ..., -0.0277463 ,\n",
|
||
|
|
" -0.05020092, -0.04014782],\n",
|
||
|
|
" [ 0.03352452, -0.04422114, -0.06030527, ..., -0.06009626,\n",
|
||
|
|
" -0.03467501, 0.09642772],\n",
|
||
|
|
" [-0.04125708, 0.01447633, 0.07129175, ..., 0.06247557,\n",
|
||
|
|
" -0.05947848, -0.01538911]]]])\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 6,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"imageAnalyser = ImageAnalyser()\n",
|
||
|
|
"\n",
|
||
|
|
"imageAnalyser.center = (960, 875)\n",
|
||
|
|
"imageAnalyser.span = (300, 300)\n",
|
||
|
|
"imageAnalyser.fraction = (0.1, 0.1)\n",
|
||
|
|
"\n",
|
||
|
|
"dataSet = imageAnalyser.get_absorption_images(dataSet)\n",
|
||
|
|
"\n",
|
||
|
|
"dataSet_cropOD = imageAnalyser.crop_image(dataSet.OD)\n",
|
||
|
|
"dataSet_cropOD = imageAnalyser.substract_offset(dataSet_cropOD).load()\n",
|
||
|
|
"dataSet_cropOD"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Plot the OD images"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 7,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 3400x1500 with 56 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# first get the scan axes\n",
|
||
|
|
"scanAxis = get_scanAxis(dataSet)\n",
|
||
|
|
"\n",
|
||
|
|
"# Name_of_varibale.plot.name_of_plot_type(col=scanAxis[0], row=scanAxis[1], **kwargs)\n",
|
||
|
|
"# The name of the plot type has the same name as it in the matplotlib package\n",
|
||
|
|
"# The **kwargs to adjust the plot also as same as the matplotlib package\n",
|
||
|
|
"dataSet_cropOD.plot.pcolormesh(col=scanAxis[0], row=scanAxis[1], cmap='jet', vmin=0, vmax=2)\n",
|
||
|
|
"\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Let us first do a 2D-two-peak gaussian fit to find the center and waist of the cloud."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Creat an object of fit analyser "
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"The idea is to package all fitting related analysis funciton into a clasee, the 'FitAnalyser'. The advantage is that it record our last settings, i.e. the model of the fit, and thus we don't need to set it again.\n",
|
||
|
|
"\n",
|
||
|
|
"Therefore, first we need to create an object of the 'FitAnalyser' class."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 8,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"from Analyser.FitAnalyser import TwoGaussian2dModel\n",
|
||
|
|
"\n",
|
||
|
|
"\n",
|
||
|
|
"# The fit model\n",
|
||
|
|
"# fitModel = DensityProfileBEC2dModel()\n",
|
||
|
|
"fitModel = TwoGaussian2dModel()\n",
|
||
|
|
"\n",
|
||
|
|
"fitAnalyser = FitAnalyser(fitModel, fitDim=2)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Here there is a complete list of implenmented fitting model\n",
|
||
|
|
"\n",
|
||
|
|
"```\n",
|
||
|
|
"lmfit_models = {'Constant': ConstantModel,\n",
|
||
|
|
" 'Complex Constant': ComplexConstantModel,\n",
|
||
|
|
" 'Linear': LinearModel,\n",
|
||
|
|
" 'Quadratic': QuadraticModel,\n",
|
||
|
|
" 'Polynomial': PolynomialModel,\n",
|
||
|
|
" 'Gaussian': GaussianModel,\n",
|
||
|
|
" 'Gaussian-2D': Gaussian2dModel,\n",
|
||
|
|
" 'Lorentzian': LorentzianModel,\n",
|
||
|
|
" 'Split-Lorentzian': SplitLorentzianModel,\n",
|
||
|
|
" 'Voigt': VoigtModel,\n",
|
||
|
|
" 'PseudoVoigt': PseudoVoigtModel,\n",
|
||
|
|
" 'Moffat': MoffatModel,\n",
|
||
|
|
" 'Pearson7': Pearson7Model,\n",
|
||
|
|
" 'StudentsT': StudentsTModel,\n",
|
||
|
|
" 'Breit-Wigner': BreitWignerModel,\n",
|
||
|
|
" 'Log-Normal': LognormalModel,\n",
|
||
|
|
" 'Damped Oscillator': DampedOscillatorModel,\n",
|
||
|
|
" 'Damped Harmonic Oscillator': DampedHarmonicOscillatorModel,\n",
|
||
|
|
" 'Exponential Gaussian': ExponentialGaussianModel,\n",
|
||
|
|
" 'Skewed Gaussian': SkewedGaussianModel,\n",
|
||
|
|
" 'Skewed Voigt': SkewedVoigtModel,\n",
|
||
|
|
" 'Thermal Distribution': ThermalDistributionModel,\n",
|
||
|
|
" 'Doniach': DoniachModel,\n",
|
||
|
|
" 'Power Law': PowerLawModel,\n",
|
||
|
|
" 'Exponential': ExponentialModel,\n",
|
||
|
|
" 'Step': StepModel,\n",
|
||
|
|
" 'Rectangle': RectangleModel,\n",
|
||
|
|
" 'Expression': ExpressionModel,\n",
|
||
|
|
" 'Gaussian With Offset':GaussianWithOffsetModel,\n",
|
||
|
|
" 'Lorentzian With Offset':LorentzianWithOffsetModel,\n",
|
||
|
|
" 'Expansion':ExpansionModel,\n",
|
||
|
|
" 'Damping Oscillation Model':DampingOscillationModel,\n",
|
||
|
|
" 'Two Gaussian-2D':TwoGaussian2dModel,\n",
|
||
|
|
" 'Thomas Fermi-2D': ThomasFermi2dModel,\n",
|
||
|
|
" 'Density Profile of BEC-2D': DensityProfileBEC2dModel,\n",
|
||
|
|
" 'Polylog2-2D': polylog2_2d, \n",
|
||
|
|
" }\n",
|
||
|
|
"```"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Set initial values and bondaries"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"There are two ways to set the parameters of a fit:\n",
|
||
|
|
"- Use the guession function of the model, which guess the initial values from the data\n",
|
||
|
|
"- Manually set the parameters"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Manually set the parameters "
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"First we need to create an object of the parameters"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 9,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"params = fitAnalyser.fitModel.make_params()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Then we can use a function to generate a template."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 10,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"params.add(name=\"A_amplitude\", value= 1, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"A_centerx\", value= 0, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"A_centery\", value= 0, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"A_sigmax\", expr=\"delta + B_sigmax\")\n",
|
||
|
|
"params.add(name=\"A_sigmay\", value= 1, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"B_amplitude\", value= 1, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"B_centerx\", value= 0, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"B_centery\", value= 0, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"B_sigmax\", value= 1, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"B_sigmay\", value= 1, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"delta\", value= -1, max= 0, min=-np.inf, vary=True)\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"fitAnalyser.print_params_set_template()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Use the guess function"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 11,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"# The default name of x axis and y axis are 'x' and 'y', \n",
|
||
|
|
"# if not please use the argument 'x' and 'y' to specify the names or the values.\n",
|
||
|
|
"# The 'guess_kwargs' is the additional key words sent to guess() funcition in the model\n",
|
||
|
|
"params = fitAnalyser.guess(dataSet_cropOD, guess_kwargs=dict(pureBECThreshold=0.5), dask=\"parallelized\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Here the data are too large, we only show the parameters for the first shot"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 12,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
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|
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"text/html": [
|
||
|
|
"<table><tr><th> name </th><th> value </th><th> initial value </th><th> min </th><th> max </th><th> vary </th><th> expression </th></tr><tr><td> A_amplitude </td><td> 1954.62481 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> A_centerx </td><td> 144.000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> A_centery </td><td> 136.000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> A_sigmax </td><td> 48.8333333 </td><td> None </td><td> -inf </td><td> inf </td><td> False </td><td> delta + B_sigmax </td></tr><tr><td> A_sigmay </td><td> 49.8333333 </td><td> None </td><td> 0.00000000 </td><td> inf </td><td> True </td><td> </td></tr><tr><td> B_amplitude </td><td> 1954.62481 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> B_centerx </td><td> 144.000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> B_centery </td><td> 136.000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td><td> </td></tr><tr><td> B_sigmax </td><td> 49.8333333 </td><td> None </td><td> 0.00000000 </td><td> inf </td><td> True </td><td> </td></tr><tr><td> B_sigmay </td><td> 49.8333333 </td><td> None </td><td> 0.00000000 </td><td> inf </td><td> True </td><td> </td></tr><tr><td> delta </td><td> -1.00000000 </td><td> -1 </td><td> -inf </td><td> 0.00000000 </td><td> True </td><td> </td></tr></table>"
|
||
|
|
],
|
||
|
|
"text/plain": [
|
||
|
|
"Parameters([('A_amplitude', <Parameter 'A_amplitude', value=1954.6248098806716, bounds=[-inf:inf]>), ('A_centerx', <Parameter 'A_centerx', value=144, bounds=[-inf:inf]>), ('A_centery', <Parameter 'A_centery', value=136, bounds=[-inf:inf]>), ('A_sigmax', <Parameter 'A_sigmax', value=48.833333333333336, bounds=[-inf:inf], expr='delta + B_sigmax'>), ('A_sigmay', <Parameter 'A_sigmay', value=49.833333333333336, bounds=[0.0:inf]>), ('B_amplitude', <Parameter 'B_amplitude', value=1954.6248098806716, bounds=[-inf:inf]>), ('B_centerx', <Parameter 'B_centerx', value=144, bounds=[-inf:inf]>), ('B_centery', <Parameter 'B_centery', value=136, bounds=[-inf:inf]>), ('B_sigmax', <Parameter 'B_sigmax', value=49.833333333333336, bounds=[0.0:inf]>), ('B_sigmay', <Parameter 'B_sigmay', value=49.833333333333336, bounds=[0.0:inf]>), ('delta', <Parameter 'delta', value=-1, bounds=[-inf:0]>)])"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 12,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"params[0, 0].item()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Do the fit"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"`As we discussed before, the parallel computing needs chunks. And now there is no chunk! In order to enable the parallel computing, we have to rechunk our data.`"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 13,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"dataSet_cropOD = dataSet_cropOD.chunk((1, 1, 300, 300))\n",
|
||
|
|
"params = params.chunk((1, 1))"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 14,
|
||
|
|
"metadata": {},
|
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"outputs": [
|
||
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|
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|
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" --xr-background-color-row-odd: #313131;\n",
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"\n",
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"\n",
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" color: var(--xr-font-color0);\n",
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"}\n",
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"\n",
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".xr-section-summary {\n",
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" font-weight: 500;\n",
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"\n",
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"\n",
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".xr-section-summary-in + label:before {\n",
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|
||
|
|
".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.DataArray 'OD' (runs: 5, truncation_value: 11, y: 300, x: 300)>\n",
|
||
|
|
"dask.array<xarray-<this-array>, shape=(5, 11, 300, 300), dtype=float64, chunksize=(1, 1, 300, 300), chunktype=numpy.ndarray>\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300</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 class='xr-has-index'>runs</span>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li><li><span>y</span>: 300</li><li><span>x</span>: 300</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-291ca7d0-87f5-4dd8-aef5-ecc5a349b4ef' class='xr-array-in' type='checkbox' checked><label for='section-291ca7d0-87f5-4dd8-aef5-ecc5a349b4ef' 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>dask.array<chunksize=(1, 1, 300, 300), meta=np.ndarray></span></div><div class='xr-array-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> 37.77 MiB </td>\n",
|
||
|
|
" <td> 703.12 kiB </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" \n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Shape </th>\n",
|
||
|
|
" <td> (5, 11, 300, 300) </td>\n",
|
||
|
|
" <td> (1, 1, 300, 300) </td>\n",
|
||
|
|
" </tr>\n",
|
||
|
|
" <tr>\n",
|
||
|
|
" <th> Dask graph </th>\n",
|
||
|
|
" <td colspan=\"2\"> 55 chunks in 1 graph layer </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=\"385\" height=\"189\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Horizontal lines -->\n",
|
||
|
|
" <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
|
||
|
|
" <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Vertical lines -->\n",
|
||
|
|
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
|
||
|
|
" <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
|
||
|
|
" <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n",
|
||
|
|
" <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
|
||
|
|
" <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
|
||
|
|
" <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Colored Rectangle -->\n",
|
||
|
|
" <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Text -->\n",
|
||
|
|
" <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n",
|
||
|
|
" <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
|
||
|
|
"\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Horizontal lines -->\n",
|
||
|
|
" <line x1=\"98\" y1=\"0\" x2=\"117\" y2=\"19\" style=\"stroke-width:2\" />\n",
|
||
|
|
" <line x1=\"98\" y1=\"120\" x2=\"117\" y2=\"139\" style=\"stroke-width:2\" />\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Vertical lines -->\n",
|
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|
|
" <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"120\" style=\"stroke-width:2\" />\n",
|
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|
|
" <line x1=\"99\" y1=\"1\" x2=\"99\" y2=\"121\" />\n",
|
||
|
|
" <line x1=\"101\" y1=\"3\" x2=\"101\" y2=\"123\" />\n",
|
||
|
|
" <line x1=\"103\" y1=\"5\" x2=\"103\" y2=\"125\" />\n",
|
||
|
|
" <line x1=\"104\" y1=\"6\" x2=\"104\" y2=\"126\" />\n",
|
||
|
|
" <line x1=\"106\" y1=\"8\" x2=\"106\" y2=\"128\" />\n",
|
||
|
|
" <line x1=\"108\" y1=\"10\" x2=\"108\" y2=\"130\" />\n",
|
||
|
|
" <line x1=\"110\" y1=\"12\" x2=\"110\" y2=\"132\" />\n",
|
||
|
|
" <line x1=\"111\" y1=\"13\" x2=\"111\" y2=\"133\" />\n",
|
||
|
|
" <line x1=\"113\" y1=\"15\" x2=\"113\" y2=\"135\" />\n",
|
||
|
|
" <line x1=\"115\" y1=\"17\" x2=\"115\" y2=\"137\" />\n",
|
||
|
|
" <line x1=\"117\" y1=\"19\" x2=\"117\" y2=\"139\" style=\"stroke-width:2\" />\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Colored Rectangle -->\n",
|
||
|
|
" <polygon points=\"98.0,0.0 117.1781253750473,19.178125375047294 117.1781253750473,139.1781253750473 98.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
|
||
|
|
"\n",
|
||
|
|
" <!-- Horizontal lines -->\n",
|
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|
|
" <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
|
||
|
|
" <line x1=\"99\" y1=\"1\" x2=\"219\" y2=\"1\" />\n",
|
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|
|
" <line x1=\"101\" y1=\"3\" x2=\"221\" y2=\"3\" />\n",
|
||
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|
" <line x1=\"103\" y1=\"5\" x2=\"223\" y2=\"5\" />\n",
|
||
|
|
" <line x1=\"104\" y1=\"6\" x2=\"224\" y2=\"6\" />\n",
|
||
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" <line x1=\"108\" y1=\"10\" x2=\"228\" y2=\"10\" />\n",
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" <line x1=\"110\" y1=\"12\" x2=\"230\" y2=\"12\" />\n",
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" <line x1=\"111\" y1=\"13\" x2=\"231\" y2=\"13\" />\n",
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" <line x1=\"113\" y1=\"15\" x2=\"233\" y2=\"15\" />\n",
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" <line x1=\"117\" y1=\"19\" x2=\"237\" y2=\"19\" style=\"stroke-width:2\" />\n",
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"\n",
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" <!-- Vertical lines -->\n",
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" <line x1=\"98\" y1=\"0\" x2=\"117\" y2=\"19\" style=\"stroke-width:2\" />\n",
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"\n",
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" <!-- Colored Rectangle -->\n",
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" <polygon points=\"98.0,0.0 218.0,0.0 237.1781253750473,19.178125375047294 117.1781253750473,19.178125375047294\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
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"\n",
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" <!-- Horizontal lines -->\n",
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" <line x1=\"117\" y1=\"19\" x2=\"237\" y2=\"19\" style=\"stroke-width:2\" />\n",
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"\n",
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" <!-- Vertical lines -->\n",
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" <line x1=\"117\" y1=\"19\" x2=\"117\" y2=\"139\" style=\"stroke-width:2\" />\n",
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" <line x1=\"237\" y1=\"19\" x2=\"237\" y2=\"139\" style=\"stroke-width:2\" />\n",
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"\n",
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" <!-- Colored Rectangle -->\n",
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" <polygon points=\"117.1781253750473,19.178125375047294 237.1781253750473,19.178125375047294 237.1781253750473,139.1781253750473 117.1781253750473,139.1781253750473\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
|
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|
|
"\n",
|
||
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|
" <!-- Text -->\n",
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||
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" <text x=\"177.178125\" y=\"159.178125\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >300</text>\n",
|
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|
" <text x=\"257.178125\" y=\"79.178125\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,257.178125,79.178125)\">300</text>\n",
|
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|
|
" <text x=\"97.589063\" y=\"149.589063\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,97.589063,149.589063)\">11</text>\n",
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||
|
|
"</svg>\n",
|
||
|
|
" </td>\n",
|
||
|
|
" </tr>\n",
|
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|
|
"</table></div></div></li><li class='xr-section-item'><input id='section-f6f3b643-7e78-4803-9f1b-f60ef46d8d10' class='xr-section-summary-in' type='checkbox' checked><label for='section-f6f3b643-7e78-4803-9f1b-f60ef46d8d10' 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'>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 3.0 4.0</div><input id='attrs-14181931-d3c2-4bc3-8211-984c273cc675' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14181931-d3c2-4bc3-8211-984c273cc675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3feeb2e8-328f-46e0-9dd3-650eddfcb27e' class='xr-var-data-in' type='checkbox'><label for='data-3feeb2e8-328f-46e0-9dd3-650eddfcb27e' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-fe3babc1-16ca-4c63-b68b-3ff890152e1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe3babc1-16ca-4c63-b68b-3ff890152e1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1869ef41-44a9-4b89-b448-e4f7ee483f84' class='xr-var-data-in' type='checkbox'><label for='data-1869ef41-44a9-4b89-b448-e4f7ee483f84' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cf00493-e9d4-4dab-a9d0-53758bcaa296' class='xr-section-summary-in' type='checkbox' ><label for='section-5cf00493-e9d4-4dab-a9d0-53758bcaa296' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70f3513e-fb5d-4edc-9b09-70db787fb84e' class='xr-index-data-in' type='checkbox'/><label for='index-70f3513e-fb5d-4edc-9b09-70db787fb84e' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c52a0ed6-bde9-4a48-8921-0397b863e909' class='xr-index-data-in' type='checkbox'/><label for='index-c52a0ed6-bde9-4a48-8921-0397b863e909' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f07bbf6a-132a-473e-bf91-769afd0eb1ae' class='xr-section-summary-in' type='checkbox' ><label for='section-f07bbf6a-132a-473e-bf91-769afd0eb1ae' class='xr-section-summary' >Attributes: <span>(11)</spa
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|
|
],
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"<xarray.DataArray 'OD' (runs: 5, truncation_value: 11, y: 300, x: 300)>\n",
|
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|
|
"dask.array<xarray-<this-array>, shape=(5, 11, 300, 300), dtype=float64, chunksize=(1, 1, 300, 300), chunktype=numpy.ndarray>\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Dimensions without coordinates: y, x\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
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|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
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|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 14,
|
||
|
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"metadata": {},
|
||
|
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"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"dataSet_cropOD"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 15,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"fitResult = fitAnalyser.fit(dataSet_cropOD, params).load()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Get the number from fit result"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Get the values"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
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"cell_type": "code",
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|
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
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" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
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" --xr-border-color: #1F1F1F;\n",
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" --xr-disabled-color: #515151;\n",
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" --xr-background-color: #111111;\n",
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|
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" --xr-background-color-row-even: #111111;\n",
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" --xr-background-color-row-odd: #313131;\n",
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"\n",
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".xr-wrap {\n",
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"\n",
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".xr-text-repr-fallback {\n",
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"\n",
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".xr-header > div,\n",
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".xr-header > ul {\n",
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".xr-section-summary {\n",
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|
|
" 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",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" A_amplitude (runs, truncation_value) float64 87.87 73.76 ... 206.3\n",
|
||
|
|
" A_centerx (runs, truncation_value) float64 147.4 151.4 ... 152.8\n",
|
||
|
|
" A_centery (runs, truncation_value) float64 151.3 147.2 ... 150.4\n",
|
||
|
|
" A_sigmax (runs, truncation_value) float64 15.86 9.018 ... 3.964\n",
|
||
|
|
" A_sigmay (runs, truncation_value) float64 19.13 13.12 ... 10.61\n",
|
||
|
|
" B_amplitude (runs, truncation_value) float64 1.783e+03 ... 159.9\n",
|
||
|
|
" B_centerx (runs, truncation_value) float64 149.8 152.0 ... 154.1\n",
|
||
|
|
" B_centery (runs, truncation_value) float64 147.5 148.1 ... 150.4\n",
|
||
|
|
" B_sigmax (runs, truncation_value) float64 32.53 31.39 ... 15.85\n",
|
||
|
|
" B_sigmay (runs, truncation_value) float64 33.29 32.43 ... 13.79\n",
|
||
|
|
" delta (runs, truncation_value) float64 -16.67 -22.38 ... -11.89\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300</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-326d57d6-4fd4-4088-84e6-cb6d0862cebe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-326d57d6-4fd4-4088-84e6-cb6d0862cebe' 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>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-18ad44f8-b528-44ed-8683-e14b00e3708a' class='xr-section-summary-in' type='checkbox' checked><label for='section-18ad44f8-b528-44ed-8683-e14b00e3708a' 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'>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 3.0 4.0</div><input id='attrs-3b1668f5-dc1c-4a2a-b9fe-1e0b75fd8c38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b1668f5-dc1c-4a2a-b9fe-1e0b75fd8c38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7db15bc1-a649-4ab9-bfdf-5eccede7a488' class='xr-var-data-in' type='checkbox'><label for='data-7db15bc1-a649-4ab9-bfdf-5eccede7a488' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-73c076a8-56ba-40af-96c1-dc4d9a4bac50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73c076a8-56ba-40af-96c1-dc4d9a4bac50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3465e57a-93c4-4c81-8471-9c1223d82e0e' class='xr-var-data-in' type='checkbox'><label for='data-3465e57a-93c4-4c81-8471-9c1223d82e0e' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b41aa50-328b-44e4-b6be-086c3df4bcc7' class='xr-section-summary-in' type='checkbox' checked><label for='section-6b41aa50-328b-44e4-b6be-086c3df4bcc7' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>87.87 73.76 61.26 ... 191.0 206.3</div><input id='attrs-990f193d-c826-47aa-aa82-337e72e4a0cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-990f193d-c826-47aa-aa82-337e72e4a0cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f152a38b-ee3a-4944-9302-e2574ca401f9' class='xr-var-data-in' type='checkbox'><label for='data-f152a38b-ee3a-4944-9302-e2574ca401f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:
|
||
|
|
" 89.85174968, 89.98098097, 109.52351131, 97.58957785,\n",
|
||
|
|
" 532.18950818, 171.64670067, 214.73142279],\n",
|
||
|
|
" [148.41500588, 145.61502822, 94.92340958, 72.21905613,\n",
|
||
|
|
" 84.25138954, 100.46822242, 110.93503999, 78.36838557,\n",
|
||
|
|
" 94.33703708, 119.67472955, 228.32795235],\n",
|
||
|
|
" [115.21345578, 84.28198786, 55.72623183, 70.13868353,\n",
|
||
|
|
" 82.6401066 , 98.79937296, 102.53213546, 69.81928149,\n",
|
||
|
|
" 72.26478134, 158.97720012, 215.26178293],\n",
|
||
|
|
" [109.83077758, 46.15486001, 96.68708012, 70.7767806 ,\n",
|
||
|
|
" 87.10001164, 103.46997629, 95.1466356 , 94.06124781,\n",
|
||
|
|
" 485.13172534, 152.33301794, 288.72901879],\n",
|
||
|
|
" [104.31036272, 68.66710998, 61.12873582, 85.32616375,\n",
|
||
|
|
" 74.21429557, 87.74512331, 102.5255358 , 85.7467111 ,\n",
|
||
|
|
" 274.83792979, 190.99452403, 206.32857438]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>147.4 151.4 151.0 ... 151.7 152.8</div><input id='attrs-23a6d70e-0d88-407f-b747-0f0104276510' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23a6d70e-0d88-407f-b747-0f0104276510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d95f66c7-0f1f-41f5-989e-3ff7435f9843' class='xr-var-data-in' type='checkbox'><label for='data-d95f66c7-0f1f-41f5-989e-3ff7435f9843' 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([[147.35658257, 151.44869095, 151.03280367, 149.72531953,\n",
|
||
|
|
" 151.21663764, 150.79959828, 149.22566816, 149.73136708,\n",
|
||
|
|
" 152.01462232, 152.02274818, 152.97453588],\n",
|
||
|
|
" [151.75284936, 154.79722431, 151.44589412, 150.38113633,\n",
|
||
|
|
" 150.20223384, 151.1905475 , 152.34142813, 150.9735046 ,\n",
|
||
|
|
" 152.99632453, 152.23926255, 150.49176424],\n",
|
||
|
|
" [148.08751505, 151.51478581, 151.9317039 , 151.3149808 ,\n",
|
||
|
|
" 149.70399115, 149.89951133, 152.13218017, 151.93027834,\n",
|
||
|
|
" 150.00888743, 149.64321357, 149.95105012],\n",
|
||
|
|
" [152.09296219, 150.13056962, 151.87197238, 150.03042241,\n",
|
||
|
|
" 151.42003475, 151.07674413, 150.53424524, 151.3627544 ,\n",
|
||
|
|
" 151.27411477, 151.4765571 , 151.82911296],\n",
|
||
|
|
" [154.27478854, 151.63087441, 151.20635115, 150.81624618,\n",
|
||
|
|
" 150.73325793, 148.60106674, 150.35065807, 150.98962516,\n",
|
||
|
|
" 152.79891129, 151.74830745, 152.81634249]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>151.3 147.2 148.7 ... 151.3 150.4</div><input id='attrs-53db6cdd-c0cb-4cf0-bd23-dad9c7c02f87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53db6cdd-c0cb-4cf0-bd23-dad9c7c02f87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61ee8a00-be5d-4d64-a269-7105e7d041da' class='xr-var-data-in' type='checkbox'><label for='data-61ee8a00-be5d-4d64-a269-7105e7d041da' 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([[151.28394589, 147.24150186, 148.72611409, 148.71669935,\n",
|
||
|
|
" 148.86331633, 150.16395069, 152.87180325, 143.01228827,\n",
|
||
|
|
" 157.30707731, 156.69107701, 149.8008272 ],\n",
|
||
|
|
" [150.23531282, 148.20649663, 149.39950182, 151.05181871,\n",
|
||
|
|
" 150.68922629, 150.92349357, 148.74791296, 155.70451963,\n",
|
||
|
|
" 169.96642044, 144.61915795, 152.33532947],\n",
|
||
|
|
" [153.67521382, 149.06280853, 150.10019083, 150.01999179,\n",
|
||
|
|
" 149.73239595, 149.35429893, 149.11430827, 154.15372705,\n",
|
||
|
|
" 163.35622755, 144.74355021, 145.41704076],\n",
|
||
|
|
" [148.77391618, 148.84134191, 149.30281946, 148.17720047,\n",
|
||
|
|
" 150.10029747, 151.30430775, 149.08990239, 150.85013866,\n",
|
||
|
|
" 151.38360691, 148.76234516, 151.38588399],\n",
|
||
|
|
" [148.80726575, 148.31953846, 148.60253328, 147.8027244 ,\n",
|
||
|
|
" 147.1907308 , 149.18648509, 150.49834047, 151.80537805,\n",
|
||
|
|
" 140.14296659, 151.29080636, 150.43594967]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.86 9.018 4.671 ... 3.781 3.964</div><input id='attrs-58bf5689-d4da-40fc-b4eb-d01bf6bb7d3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58bf5689-d4da-40fc-b4eb-d01bf6bb7d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42ed4679-bba6-4dcd-967b-57e0e19a318a' class='xr-var-data-in' type='checkbox'><label for='data-42ed4679-bba6-4dcd-967b-57e0e19a318a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15.86033684, 9.0184675 , 4.67142174, 4.44462332, 4.14528732,\n",
|
||
|
|
" 3.82312735, 4.32416442, 4.50668022, 22.21245866, 4.02875393,\n",
|
||
|
|
" 3.90390035],\n",
|
||
|
|
" [16.65366702, 15.08437968, 7.79824126, 4.31443398, 4.02082315,\n",
|
||
|
|
" 3.92133528, 4.01732547, 3.77607115, 11.70680121, 4.02025535,\n",
|
||
|
|
" 3.77276103],\n",
|
||
|
|
" [14.05379459, 9.51781911, 5.25329603, 4.22650208, 4.39356879,\n",
|
||
|
|
" 4.3519179 , 4.31736887, 3.89746383, 10.84196056, 4.05900851,\n",
|
||
|
|
" 4.25002353],\n",
|
||
|
|
" [15.45723413, 6.69385599, 7.61202754, 4.50399055, 4.20628858,\n",
|
||
|
|
" 3.93307359, 3.94888466, 4.25195559, 22.37312866, 3.72031909,\n",
|
||
|
|
" 4.69954113],\n",
|
||
|
|
" [13.6617594 , 7.78926053, 4.48376347, 5.16074758, 3.99757519,\n",
|
||
|
|
" 3.78708533, 4.04323162, 4.1008123 , 19.82471029, 3.78116519,\n",
|
||
|
|
" 3.96389527]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>19.13 13.12 10.79 ... 10.36 10.61</div><input id='attrs-010f1f10-2e72-4748-b086-e14abddc8f5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-010f1f10-2e72-4748-b086-e14abddc8f5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e5ed23-9038-4e92-a0a9-4c7e8871e97d' class='xr-var-data-in' type='checkbox'><label for='data-69e5ed23-9038-4e92-a0a9-4c7e8871e97d' 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([[19.12600649, 13.11979427, 10.79097925, 10.35446929, 11.4544053 ,\n",
|
||
|
|
" 10.75293975, 10.39075295, 9.29855065, 22.61916547, 9.46062774,\n",
|
||
|
|
" 9.61893074],\n",
|
||
|
|
" [18.37413835, 14.93642054, 12.9723271 , 11.47917761, 10.43588992,\n",
|
||
|
|
" 10.79180886, 10.863663 , 9.27068049, 10.97909164, 8.41824973,\n",
|
||
|
|
" 10.37416908],\n",
|
||
|
|
" [19.22624209, 13.21012726, 11.54148464, 11.28129907, 10.53017304,\n",
|
||
|
|
" 10.63218736, 9.91655465, 9.38706098, 10.34983933, 9.7173262 ,\n",
|
||
|
|
" 10.23441355],\n",
|
||
|
|
" [18.91397396, 12.38230482, 12.60057 , 10.42910762, 10.89766943,\n",
|
||
|
|
" 10.98100296, 9.54922648, 9.96676745, 21.96858327, 10.68052954,\n",
|
||
|
|
" 10.76544928],\n",
|
||
|
|
" [17.44929619, 10.16640595, 10.99961809, 11.14857526, 9.9112425 ,\n",
|
||
|
|
" 10.54292534, 10.61162461, 9.71627544, 14.77240984, 10.35969562,\n",
|
||
|
|
" 10.60766696]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.783e+03 1.583e+03 ... 171.9 159.9</div><input id='attrs-6c8ec77f-ff0d-4efd-83a2-44fa98e25840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6c8ec77f-ff0d-4efd-83a2-44fa98e25840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11d92c8e-8fd1-42c6-87e5-d30ebf822cae' class='xr-var-data-in' type='checkbox'><label for='data-11d92c8e-8fd1-42c6-87e5-d30ebf822cae' 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([[ 1783.45054701, 1583.36795539, 1294.14272468,\n",
|
||
|
|
" 1085.9674567 , 980.30332582, 710.70254556,\n",
|
||
|
|
" 589.94319664, 473.6037191 , -1554.95748481,\n",
|
||
|
|
" 223.91672763, 153.3267524 ],\n",
|
||
|
|
" [ 1755.57473769, 1618.71259176, 1455.21148963,\n",
|
||
|
|
" 1097.03528314, 917.68371146, 730.49784306,\n",
|
||
|
|
" 583.15954472, 495.27277533, 369.51462502,\n",
|
||
|
|
" 307.67637387, 132.00866082],\n",
|
||
|
|
" [ 1824.94480896, 1560.58162411, 1354.93718336,\n",
|
||
|
|
" 1097.36556181, 933.96058739, 730.30586937,\n",
|
||
|
|
" 585.52364835, 461.52620908, 387.56015693,\n",
|
||
|
|
" 246.47749078, 130.88129224],\n",
|
||
|
|
" [ 1884.05160993, 1587.47647175, 1353.99558341,\n",
|
||
|
|
" 1030.3350402 , 892.00561639, 615.6802281 ,\n",
|
||
|
|
" 575.53953248, 520.77898298, -12794.63770211,\n",
|
||
|
|
" 247.63518228, -512.41114085],\n",
|
||
|
|
" [ 1787.52744747, 1413.59773834, 1283.83218285,\n",
|
||
|
|
" 1131.89914361, 932.44739769, 739.28845463,\n",
|
||
|
|
" 576.17585769, 518.67050619, 187.26884654,\n",
|
||
|
|
" 171.93192999, 159.92341651]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>149.8 152.0 150.8 ... 154.2 154.1</div><input id='attrs-d856f3c4-4cce-4b5c-88ef-62a29fc8f70c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d856f3c4-4cce-4b5c-88ef-62a29fc8f70c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0dcc064-977c-4b15-b012-f909fa4485e9' class='xr-var-data-in' type='checkbox'><label for='data-b0dcc064-977c-4b15-b012-f909fa4485e9' 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([[ 149.77259545, 152.02155216, 150.82226953, 150.17856412,\n",
|
||
|
|
" 151.49869445, 151.00882072, 150.00017539, 151.2056335 ,\n",
|
||
|
|
" 425.4471671 , 155.07081348, 155.37875268],\n",
|
||
|
|
" [ 152.18376687, 151.4144676 , 151.87836658, 150.54995899,\n",
|
||
|
|
" 150.23221437, 152.14621363, 152.72951398, 151.07172615,\n",
|
||
|
|
" 150.89663936, 153.94104155, 152.35166839],\n",
|
||
|
|
" [ 150.22539645, 151.82546419, 151.8155642 , 150.92405452,\n",
|
||
|
|
" 149.98395125, 150.44869725, 152.2557924 , 150.71412855,\n",
|
||
|
|
" 153.24001471, 150.92939804, 152.08822726],\n",
|
||
|
|
" [ 151.88129055, 149.75770493, 151.57847363, 150.21954836,\n",
|
||
|
|
" 151.41093996, 150.73394379, 151.18173904, 151.31132354,\n",
|
||
|
|
" 1794.40094581, 152.91301882, -123.18365955],\n",
|
||
|
|
" [ 152.47370924, 151.44312867, 151.13645269, 151.59289508,\n",
|
||
|
|
" 151.67957652, 149.82793657, 149.77567429, 151.21747559,\n",
|
||
|
|
" 151.16624065, 154.17608173, 154.05517934]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>147.5 148.1 150.0 ... 149.7 150.4</div><input id='attrs-3b74dbfd-9f7f-4b4f-93c0-3f5168047ecb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b74dbfd-9f7f-4b4f-93c0-3f5168047ecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-887378aa-357a-4f5c-9d46-a851d1c9cdfd' class='xr-var-data-in' type='checkbox'><label for='data-887378aa-357a-4f5c-9d46-a851d1c9cdfd' 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([[147.45295195, 148.09746651, 150.0255 , 149.14691129,\n",
|
||
|
|
" 148.98258537, 150.22718776, 153.16129424, 152.81932317,\n",
|
||
|
|
" 72.24418704, 154.52991041, 149.17022831],\n",
|
||
|
|
" [149.47572526, 149.34656247, 149.83533472, 150.93254944,\n",
|
||
|
|
" 151.01030524, 151.51733988, 147.4931119 , 151.6147346 ,\n",
|
||
|
|
" 153.7661836 , 146.32505819, 150.50395509],\n",
|
||
|
|
" [150.41254937, 150.71499149, 151.63638785, 151.25714745,\n",
|
||
|
|
" 150.4626488 , 151.46493096, 151.75523375, 149.02192961,\n",
|
||
|
|
" 154.16333799, 145.82390071, 146.81309327],\n",
|
||
|
|
" [148.08358746, 148.574133 , 150.01635145, 149.58154983,\n",
|
||
|
|
" 151.26380613, 148.55592561, 152.23705055, 144.97313415,\n",
|
||
|
|
" 299.42496082, 151.15903259, 200.07482412],\n",
|
||
|
|
" [149.28876671, 148.64087187, 148.86311139, 148.44094162,\n",
|
||
|
|
" 147.56308142, 151.31740191, 147.95630349, 155.4460084 ,\n",
|
||
|
|
" 166.00908446, 149.67457383, 150.43124107]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.53 31.39 27.64 ... 16.65 15.85</div><input id='attrs-39e03964-5cdd-49c7-a591-c74278b9ec52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39e03964-5cdd-49c7-a591-c74278b9ec52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d912a8f0-a9b3-47a1-80b0-3949b8a6b2cb' class='xr-var-data-in' type='checkbox'><label for='data-d912a8f0-a9b3-47a1-80b0-3949b8a6b2cb' 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([[ 32.5349708 , 31.39433096, 27.64328817, 26.22763531,\n",
|
||
|
|
" 25.30006205, 22.90070236, 23.22010131, 21.56317923,\n",
|
||
|
|
" 51.04673134, 17.58633398, 17.49492739],\n",
|
||
|
|
" [ 33.27712833, 31.13507291, 29.13042227, 25.96001938,\n",
|
||
|
|
" 24.96531387, 23.51968294, 22.63545942, 20.88798559,\n",
|
||
|
|
" 23.14105763, 18.77307842, 15.69149838],\n",
|
||
|
|
" [ 32.41647008, 30.06301091, 27.95029662, 25.78889949,\n",
|
||
|
|
" 25.32669046, 23.73947481, 22.21131961, 19.08019799,\n",
|
||
|
|
" 20.76525779, 17.90936397, 17.59006204],\n",
|
||
|
|
" [ 33.65336072, 29.67929946, 29.7644638 , 25.82239234,\n",
|
||
|
|
" 24.71819699, 23.03948697, 22.25809162, 22.09705834,\n",
|
||
|
|
" 1103.61563922, 17.76208096, 69.21926428],\n",
|
||
|
|
" [ 33.29573618, 29.07307007, 27.83726355, 26.94999028,\n",
|
||
|
|
" 25.42299204, 24.04340187, 23.02812015, 21.43220187,\n",
|
||
|
|
" 22.93573535, 16.64979817, 15.85282615]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.29 32.43 28.47 ... 16.34 13.79</div><input id='attrs-270f3dde-5cf3-44c6-a696-f22eade70b6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-270f3dde-5cf3-44c6-a696-f22eade70b6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaba2a47-35ef-4d66-96fa-cd7ab987f518' class='xr-var-data-in' type='checkbox'><label for='data-eaba2a47-35ef-4d66-96fa-cd7ab987f518' 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([[ 33.29334334, 32.43099741, 28.47278332, 27.18103378,\n",
|
||
|
|
" 25.71431976, 24.27199694, 22.77078579, 20.37040614,\n",
|
||
|
|
" 25.22140544, 15.74705493, 14.21177517],\n",
|
||
|
|
" [ 34.99745369, 33.20946815, 30.58125742, 26.52760872,\n",
|
||
|
|
" 25.11661825, 23.70894422, 22.08155913, 21.77847574,\n",
|
||
|
|
" 21.59150892, 17.9765663 , 12.89178954],\n",
|
||
|
|
" [ 33.77124313, 31.3243406 , 29.13665369, 26.74559133,\n",
|
||
|
|
" 25.652014 , 23.57574991, 22.42657894, 20.55697484,\n",
|
||
|
|
" 19.96887556, 16.99616651, 13.87336776],\n",
|
||
|
|
" [ 34.67043472, 31.21760361, 30.83496859, 26.86661064,\n",
|
||
|
|
" 25.70634067, 23.05941925, 22.88232236, 21.20419837,\n",
|
||
|
|
" 309.01438251, 16.70070999, 51.108073 ],\n",
|
||
|
|
" [ 34.22146326, 30.3244038 , 28.76138498, 28.27677548,\n",
|
||
|
|
" 26.24162491, 24.57777006, 22.9522538 , 22.40814737,\n",
|
||
|
|
" 16.89351118, 16.34461527, 13.78927636]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-16.67 -22.38 ... -12.87 -11.89</div><input id='attrs-d79a72ed-c4c4-4763-953f-c907adad5ffa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d79a72ed-c4c4-4763-953f-c907adad5ffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ef98c7b-3a35-4e7f-b916-6c5cf55b497a' class='xr-var-data-in' type='checkbox'><label for='data-3ef98c7b-3a35-4e7f-b916-6c5cf55b497a' 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([[ -16.67463396, -22.37586347, -22.97186643, -21.78301199,\n",
|
||
|
|
" -21.15477472, -19.07757501, -18.89593689, -17.05649901,\n",
|
||
|
|
" -28.83427268, -13.55758005, -13.59102704],\n",
|
||
|
|
" [ -16.62346131, -16.05069323, -21.33218101, -21.6455854 ,\n",
|
||
|
|
" -20.94449072, -19.59834765, -18.61813395, -17.11191444,\n",
|
||
|
|
" -11.43425642, -14.75282307, -11.91873735],\n",
|
||
|
|
" [ -18.36267549, -20.5451918 , -22.69700059, -21.5623974 ,\n",
|
||
|
|
" -20.93312167, -19.38755691, -17.89395074, -15.18273416,\n",
|
||
|
|
" -9.92329723, -13.85035547, -13.34003851],\n",
|
||
|
|
" [ -18.19612659, -22.98544347, -22.15243626, -21.31840179,\n",
|
||
|
|
" -20.51190841, -19.10641338, -18.30920696, -17.84510275,\n",
|
||
|
|
" -1081.24251056, -14.04176187, -64.51972315],\n",
|
||
|
|
" [ -19.63397678, -21.28380955, -23.35350008, -21.7892427 ,\n",
|
||
|
|
" -21.42541685, -20.25631654, -18.98488854, -17.33138957,\n",
|
||
|
|
" -3.11102506, -12.86863298, -11.88893088]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7fc03b3c-8287-44ea-96b1-d992a59022b0' class='xr-section-summary-in' type='checkbox' ><label for='section-7fc03b3c-8287-44ea-96b1-d992a59022b0' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4fafec04-6a2a-4095-8a5d-49abd894c9fa' class='xr-index-data-in' type='checkbox'/><label for='index-4fafec04-6a2a-4095-8a5d-49abd894c9fa' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bcaf87d0-4d94-4a14-8092-4fceadd4a21c' class='xr-index-data-in' type='checkbox'/><label for='index-bcaf87d0-4d94-4a14-8092-4fceadd4a21c' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-604afbdd-f2bf-4cab-9f07-94ba43d9e904' class='xr-section-summary-in' type='checkbox' ><label for='section-604afbdd-f2bf-4cab-9f07-94ba43d9e904' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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><dt><span>x_start :</span></dt><dd>810</dd><dt><span>x_end :</span></dt><dd>1110</dd><dt><span>y_end :</span></dt><dd>1025</dd><dt><span>y_start :</span></dt><dd>725</dd><dt><span>x_center :</span></dt><dd>960</dd><dt><span>y_center :</span></dt><dd>875</dd><dt><span>x_span :</span></dt><dd>300</dd><dt><span>y_span :</span></dt><dd>300</dd></dl></div></li></ul></div></div>"
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],
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"text/plain": [
|
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"<xarray.Dataset>\n",
|
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"Dimensions: (runs: 5, truncation_value: 11)\n",
|
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"Coordinates:\n",
|
||
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" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
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" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
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"Data variables:\n",
|
||
|
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" A_amplitude (runs, truncation_value) float64 87.87 73.76 ... 206.3\n",
|
||
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" A_centerx (runs, truncation_value) float64 147.4 151.4 ... 152.8\n",
|
||
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" A_centery (runs, truncation_value) float64 151.3 147.2 ... 150.4\n",
|
||
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" A_sigmax (runs, truncation_value) float64 15.86 9.018 ... 3.964\n",
|
||
|
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" A_sigmay (runs, truncation_value) float64 19.13 13.12 ... 10.61\n",
|
||
|
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" B_amplitude (runs, truncation_value) float64 1.783e+03 ... 159.9\n",
|
||
|
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" B_centerx (runs, truncation_value) float64 149.8 152.0 ... 154.1\n",
|
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" B_centery (runs, truncation_value) float64 147.5 148.1 ... 150.4\n",
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||
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" B_sigmax (runs, truncation_value) float64 32.53 31.39 ... 15.85\n",
|
||
|
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" B_sigmay (runs, truncation_value) float64 33.29 32.43 ... 13.79\n",
|
||
|
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" delta (runs, truncation_value) float64 -16.67 -22.38 ... -11.89\n",
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||
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"Attributes:\n",
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||
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" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
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" IMAGE_VERSION: 1.2\n",
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" IMAGE_WHITE_IS_ZERO: 0\n",
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" x_start: 810\n",
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" x_end: 1110\n",
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" y_end: 1025\n",
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" y_start: 725\n",
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" x_center: 960\n",
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" y_center: 875\n",
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" x_span: 300\n",
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" y_span: 300"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"val = fitAnalyser.get_fit_value(fitResult)\n",
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"val"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Get the standard deviation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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" --xr-border-color: #1F1F1F;\n",
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" --xr-disabled-color: #515151;\n",
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" --xr-background-color: #111111;\n",
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" --xr-background-color-row-even: #111111;\n",
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" --xr-background-color-row-odd: #313131;\n",
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".xr-wrap {\n",
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".xr-obj-type,\n",
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".xr-obj-type {\n",
|
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" color: var(--xr-font-color2);\n",
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".xr-sections {\n",
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".xr-section-item input + label {\n",
|
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|
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|
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"\n",
|
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".xr-section-item input:enabled + label {\n",
|
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" cursor: pointer;\n",
|
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"\n",
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".xr-section-item input:enabled + label:hover {\n",
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" color: var(--xr-font-color0);\n",
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"\n",
|
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".xr-section-summary {\n",
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" 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",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" A_amplitude (runs, truncation_value) float64 41.35 8.536 ... 4.752\n",
|
||
|
|
" A_centerx (runs, truncation_value) float64 1.373 0.4656 ... 0.0426\n",
|
||
|
|
" A_centery (runs, truncation_value) float64 1.829 0.7057 ... 0.1419\n",
|
||
|
|
" A_sigmax (runs, truncation_value) float64 2.502 0.6067 ... 0.05853\n",
|
||
|
|
" A_sigmay (runs, truncation_value) float64 2.561 0.8023 ... 0.139\n",
|
||
|
|
" B_amplitude (runs, truncation_value) float64 38.55 11.89 ... 6.328\n",
|
||
|
|
" B_centerx (runs, truncation_value) float64 0.271 0.2215 ... 0.5065\n",
|
||
|
|
" B_centery (runs, truncation_value) float64 0.3084 0.239 ... 0.5433\n",
|
||
|
|
" B_sigmax (runs, truncation_value) float64 0.473 0.2884 ... 0.6838\n",
|
||
|
|
" B_sigmay (runs, truncation_value) float64 0.4067 0.2715 ... 0.5322\n",
|
||
|
|
" delta (runs, truncation_value) float64 2.199 0.5443 ... 0.6551\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300</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-a6596bf9-f8e5-4501-8fcb-251b50168f39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a6596bf9-f8e5-4501-8fcb-251b50168f39' 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>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f25e1ec7-d75b-4b65-afd2-21dbac9d7d2c' class='xr-section-summary-in' type='checkbox' checked><label for='section-f25e1ec7-d75b-4b65-afd2-21dbac9d7d2c' 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'>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 3.0 4.0</div><input id='attrs-7b5c83e0-0bb5-4ee2-97b1-6a275a0a9b60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b5c83e0-0bb5-4ee2-97b1-6a275a0a9b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b6be17-25f7-4f7c-b6bb-4c67df7aaf61' class='xr-var-data-in' type='checkbox'><label for='data-50b6be17-25f7-4f7c-b6bb-4c67df7aaf61' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-ef3349d2-feb7-464a-b4c0-726fb8daaf5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef3349d2-feb7-464a-b4c0-726fb8daaf5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-193f6082-2f8e-45ec-8fff-e1ccbdbae348' class='xr-var-data-in' type='checkbox'><label for='data-193f6082-2f8e-45ec-8fff-e1ccbdbae348' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4397190e-0c2b-458f-9c4e-813c31d39edd' class='xr-section-summary-in' type='checkbox' checked><label for='section-4397190e-0c2b-458f-9c4e-813c31d39edd' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>41.35 8.536 3.549 ... 4.165 4.752</div><input id='attrs-6dc8d5f5-9946-4cc7-9afb-90d8a484c8e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6dc8d5f5-9946-4cc7-9afb-90d8a484c8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96fa7a28-66c8-47d1-8d06-863caca87ef9' class='xr-var-data-in' type='checkbox'><label for='data-96fa7a28-66c8-47d1-8d06-863caca87ef9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:
|
||
|
|
" 3.23781731, 3.63912115, 3.55016032, 7.24158601, 4.00295491,\n",
|
||
|
|
" 3.93889204],\n",
|
||
|
|
" [39.09039398, 24.2472226 , 7.31704996, 3.60212261, 3.21228769,\n",
|
||
|
|
" 3.39514472, 3.5072124 , 3.16249809, 15.15014763, 3.5416771 ,\n",
|
||
|
|
" 4.24968854],\n",
|
||
|
|
" [30.03008996, 9.94253914, 4.24707555, 3.52201376, 3.51626384,\n",
|
||
|
|
" 3.65879701, 3.67011253, 3.4681694 , 17.90365434, 4.15399748,\n",
|
||
|
|
" 4.55700578],\n",
|
||
|
|
" [34.44351574, 5.62730163, 6.8327929 , 3.47510006, 3.54695392,\n",
|
||
|
|
" 3.52943849, 3.19843539, 3.6674288 , 9.46190948, 3.8137756 ,\n",
|
||
|
|
" 2.31426625],\n",
|
||
|
|
" [23.36180289, 5.92033204, 3.42391579, 4.16076828, 3.03207606,\n",
|
||
|
|
" 3.04692971, 3.40342961, 3.48868316, 78.00226286, 4.1649254 ,\n",
|
||
|
|
" 4.75175596]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.373 0.4656 ... 0.04294 0.0426</div><input id='attrs-1a0909c4-01c4-40f8-ac2d-c3acecfb91f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a0909c4-01c4-40f8-ac2d-c3acecfb91f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-829f4350-a4f6-40d7-a718-a26182362fe1' class='xr-var-data-in' type='checkbox'><label for='data-829f4350-a4f6-40d7-a718-a26182362fe1' 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([[1.37275271, 0.46564767, 0.1783507 , 0.11981298, 0.10298813,\n",
|
||
|
|
" 0.08899595, 0.0870227 , 0.09711865, 0.30224711, 0.04919934,\n",
|
||
|
|
" 0.03767388],\n",
|
||
|
|
" [0.83459062, 0.63964249, 0.28050157, 0.13988076, 0.10183172,\n",
|
||
|
|
" 0.08559291, 0.07848608, 0.0956075 , 0.53288645, 0.06586354,\n",
|
||
|
|
" 0.03460433],\n",
|
||
|
|
" [0.80957124, 0.44954895, 0.24654689, 0.13935714, 0.1195584 ,\n",
|
||
|
|
" 0.09885554, 0.09180816, 0.1125341 , 0.70066171, 0.05450696,\n",
|
||
|
|
" 0.04395562],\n",
|
||
|
|
" [0.97982363, 0.44603965, 0.2650354 , 0.14280239, 0.11040201,\n",
|
||
|
|
" 0.08525171, 0.08422187, 0.09946159, 0.33900844, 0.05097848,\n",
|
||
|
|
" 0.03763179],\n",
|
||
|
|
" [0.78888259, 0.34901146, 0.16877679, 0.15361024, 0.1114052 ,\n",
|
||
|
|
" 0.08812014, 0.08422454, 0.10064893, 0.51415449, 0.04294127,\n",
|
||
|
|
" 0.04259848]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.829 0.7057 ... 0.1367 0.1419</div><input id='attrs-02730faa-e60d-4e34-ae1f-a8bfaf64647b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02730faa-e60d-4e34-ae1f-a8bfaf64647b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc19d08a-237a-4ce2-9e2f-76a48aff7c6a' class='xr-var-data-in' type='checkbox'><label for='data-fc19d08a-237a-4ce2-9e2f-76a48aff7c6a' 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([[1.82931682, 0.70570221, 0.42876793, 0.29065492, 0.30153625,\n",
|
||
|
|
" 0.26494553, 0.22368237, 0.22421098, 0.30777979, 0.13240613,\n",
|
||
|
|
" 0.10918892],\n",
|
||
|
|
" [0.94431847, 0.6077866 , 0.49261836, 0.3936542 , 0.27748013,\n",
|
||
|
|
" 0.25035213, 0.22946576, 0.24985908, 0.62978456, 0.14881484,\n",
|
||
|
|
" 0.11940909],\n",
|
||
|
|
" [1.2445461 , 0.65460182, 0.56542821, 0.39119808, 0.30168532,\n",
|
||
|
|
" 0.25821964, 0.22503312, 0.29482473, 0.79728417, 0.14782686,\n",
|
||
|
|
" 0.12960455],\n",
|
||
|
|
" [1.28849429, 0.86237911, 0.46076192, 0.34495895, 0.30172961,\n",
|
||
|
|
" 0.2559253 , 0.21511481, 0.25545875, 0.3329528 , 0.17058156,\n",
|
||
|
|
" 0.08620531],\n",
|
||
|
|
" [1.07567013, 0.46326371, 0.43025492, 0.3469241 , 0.28673676,\n",
|
||
|
|
" 0.25872847, 0.23708082, 0.254787 , 2.59960234, 0.13666223,\n",
|
||
|
|
" 0.14190089]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.502 0.6067 ... 0.05553 0.05853</div><input id='attrs-96df74d4-33e3-4200-a8e9-9a85e3678353' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96df74d4-33e3-4200-a8e9-9a85e3678353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98856a02-bc11-4fea-a71c-5965b61d9915' class='xr-var-data-in' type='checkbox'><label for='data-98856a02-bc11-4fea-a71c-5965b61d9915' 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([[2.50210815, 0.60673241, 0.20515777, 0.13801476, 0.11995417,\n",
|
||
|
|
" 0.10400531, 0.1043108 , 0.11584281, 0.3022487 , 0.06311102,\n",
|
||
|
|
" 0.04876893],\n",
|
||
|
|
" [1.44371672, 0.90920954, 0.36405611, 0.16292322, 0.11745137,\n",
|
||
|
|
" 0.10021903, 0.09383077, 0.11241069, 0.73901507, 0.08152476,\n",
|
||
|
|
" 0.04645569],\n",
|
||
|
|
" [1.41176589, 0.60765676, 0.29087273, 0.16149254, 0.13956056,\n",
|
||
|
|
" 0.11779449, 0.11045638, 0.13623811, 0.94231078, 0.07058897,\n",
|
||
|
|
" 0.05895437],\n",
|
||
|
|
" [1.73929057, 0.54681615, 0.33653577, 0.16561969, 0.12882168,\n",
|
||
|
|
" 0.10061599, 0.09861943, 0.11933154, 0.36220156, 0.06483756,\n",
|
||
|
|
" 0.03764181],\n",
|
||
|
|
" [1.26746526, 0.42348683, 0.19301044, 0.18167604, 0.12668019,\n",
|
||
|
|
" 0.10143472, 0.09968958, 0.12014094, 0.68257015, 0.05553422,\n",
|
||
|
|
" 0.05853344]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.561 0.8023 0.444 ... 0.1329 0.139</div><input id='attrs-4250fed9-1f49-4fdb-84a6-0d91c8e12fc5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4250fed9-1f49-4fdb-84a6-0d91c8e12fc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e91d17be-51db-4196-84f8-40dc3a9f5fb1' class='xr-var-data-in' type='checkbox'><label for='data-e91d17be-51db-4196-84f8-40dc3a9f5fb1' 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([[2.56072913, 0.80234429, 0.44396565, 0.30092615, 0.30512136,\n",
|
||
|
|
" 0.26858688, 0.22733819, 0.21966024, 0.30778103, 0.12884175,\n",
|
||
|
|
" 0.10648424],\n",
|
||
|
|
" [1.51795074, 0.94715391, 0.54081991, 0.40013487, 0.28305137,\n",
|
||
|
|
" 0.25275274, 0.22965698, 0.25413912, 0.72668546, 0.15198206,\n",
|
||
|
|
" 0.11545866],\n",
|
||
|
|
" [1.55052073, 0.76507566, 0.5883192 , 0.39853779, 0.30978006,\n",
|
||
|
|
" 0.26208035, 0.23001055, 0.29685328, 0.96653882, 0.1461634 ,\n",
|
||
|
|
" 0.12554477],\n",
|
||
|
|
" [1.81945195, 0.92222802, 0.50365298, 0.35711069, 0.30797541,\n",
|
||
|
|
" 0.25612964, 0.21997048, 0.25373163, 0.35554785, 0.16478862,\n",
|
||
|
|
" 0.0862227 ],\n",
|
||
|
|
" [1.39250289, 0.52895344, 0.44345531, 0.36205789, 0.29537217,\n",
|
||
|
|
" 0.26203786, 0.23873928, 0.26001589, 0.98330524, 0.13292493,\n",
|
||
|
|
" 0.13899744]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.55 11.89 9.327 ... 6.462 6.328</div><input id='attrs-00e3ff8e-1415-46bf-8275-b5f0dba87fe5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00e3ff8e-1415-46bf-8275-b5f0dba87fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba5ea9c6-e32f-42a0-97d5-9f91044e7538' class='xr-var-data-in' type='checkbox'><label for='data-ba5ea9c6-e32f-42a0-97d5-9f91044e7538' 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([[3.85547497e+01, 1.18924107e+01, 9.32697398e+00, 8.78389686e+00,\n",
|
||
|
|
" 8.42996656e+00, 7.85105927e+00, 7.77063271e+00, 7.19874879e+00,\n",
|
||
|
|
" 9.18369699e+04, 6.30520086e+00, 6.10434083e+00],\n",
|
||
|
|
" [3.59788621e+01, 2.27132673e+01, 1.07460296e+01, 8.89038556e+00,\n",
|
||
|
|
" 8.36260017e+00, 8.13665269e+00, 7.58775085e+00, 7.30684128e+00,\n",
|
||
|
|
" 1.68050976e+01, 6.46784323e+00, 5.88043739e+00],\n",
|
||
|
|
" [2.82088774e+01, 1.22000097e+01, 9.69713959e+00, 8.92292396e+00,\n",
|
||
|
|
" 8.55493699e+00, 8.01386612e+00, 7.64219203e+00, 6.86518652e+00,\n",
|
||
|
|
" 1.80541029e+01, 6.53151700e+00, 6.37560014e+00],\n",
|
||
|
|
" [3.18504614e+01, 1.04987920e+01, 1.08501487e+01, 8.71677797e+00,\n",
|
||
|
|
" 8.65750292e+00, 8.09273140e+00, 7.58877301e+00, 7.60357840e+00,\n",
|
||
|
|
" 9.23104837e+05, 6.32816270e+00, 1.35243844e+04],\n",
|
||
|
|
" [2.21892519e+01, 1.03713054e+01, 9.34310101e+00, 9.36686554e+00,\n",
|
||
|
|
" 8.55244243e+00, 7.97942115e+00, 7.69694096e+00, 7.49530133e+00,\n",
|
||
|
|
" 7.76742958e+01, 6.46160396e+00, 6.32769171e+00]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.271 0.2215 ... 0.5714 0.5065</div><input id='attrs-57f275b5-58ba-41d1-918b-002fdd64da47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57f275b5-58ba-41d1-918b-002fdd64da47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4758dcc9-384e-435b-8675-9935a5cfaee2' class='xr-var-data-in' type='checkbox'><label for='data-4758dcc9-384e-435b-8675-9935a5cfaee2' 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([[2.70963487e-01, 2.21482694e-01, 1.97551706e-01, 2.10345493e-01,\n",
|
||
|
|
" 2.13343499e-01, 2.48068244e-01, 2.97636503e-01, 3.11270572e-01,\n",
|
||
|
|
" 1.91778052e+03, 4.62258307e-01, 6.26441819e-01],\n",
|
||
|
|
" [2.73736145e-01, 2.62818740e-01, 2.02847052e-01, 2.06761948e-01,\n",
|
||
|
|
" 2.24441605e-01, 2.56558188e-01, 2.84708375e-01, 3.01622502e-01,\n",
|
||
|
|
" 5.33484685e-01, 3.81303887e-01, 5.81213557e-01],\n",
|
||
|
|
" [2.43361048e-01, 2.10054101e-01, 1.97335113e-01, 2.06620014e-01,\n",
|
||
|
|
" 2.28723156e-01, 2.53872776e-01, 2.82010009e-01, 2.73807119e-01,\n",
|
||
|
|
" 5.01162595e-01, 4.34167477e-01, 7.26200639e-01],\n",
|
||
|
|
" [2.49039159e-01, 1.91941903e-01, 2.28909262e-01, 2.16181397e-01,\n",
|
||
|
|
" 2.35932668e-01, 2.94326841e-01, 2.88449947e-01, 3.10046973e-01,\n",
|
||
|
|
" 7.83183242e+04, 4.11836960e-01, 1.39815877e+03],\n",
|
||
|
|
" [2.48682834e-01, 2.10943978e-01, 2.00946864e-01, 2.20160710e-01,\n",
|
||
|
|
" 2.31651585e-01, 2.55919052e-01, 2.99458615e-01, 3.02040797e-01,\n",
|
||
|
|
" 9.82489672e-01, 5.71430324e-01, 5.06473515e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3084 0.239 ... 0.6315 0.5433</div><input id='attrs-0f9d49e0-5f4a-4429-9ab6-cfcd393a2300' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f9d49e0-5f4a-4429-9ab6-cfcd393a2300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-574510ea-6f75-438d-846c-0ece7513453c' class='xr-var-data-in' type='checkbox'><label for='data-574510ea-6f75-438d-846c-0ece7513453c' 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([[3.08352266e-01, 2.38991239e-01, 2.11583536e-01, 2.26634616e-01,\n",
|
||
|
|
" 2.29758880e-01, 2.78595826e-01, 3.11620423e-01, 3.39820106e-01,\n",
|
||
|
|
" 1.23305969e+01, 4.55185737e-01, 5.83677190e-01],\n",
|
||
|
|
" [2.94859097e-01, 2.61430846e-01, 2.25117977e-01, 2.23076358e-01,\n",
|
||
|
|
" 2.36954007e-01, 2.74767600e-01, 3.00276342e-01, 3.36156583e-01,\n",
|
||
|
|
" 1.08640672e+00, 3.91089347e-01, 5.80818196e-01],\n",
|
||
|
|
" [2.83553239e-01, 2.29947553e-01, 2.15510698e-01, 2.25512279e-01,\n",
|
||
|
|
" 2.43243871e-01, 2.69345389e-01, 3.04743583e-01, 3.22618143e-01,\n",
|
||
|
|
" 7.67363009e-01, 4.63745121e-01, 6.83170270e-01],\n",
|
||
|
|
" [2.76093188e-01, 2.11508744e-01, 2.49325976e-01, 2.34703962e-01,\n",
|
||
|
|
" 2.58717490e-01, 3.17069589e-01, 3.13967255e-01, 3.28295246e-01,\n",
|
||
|
|
" 6.07132323e+02, 4.46745744e-01, 2.44319652e+01],\n",
|
||
|
|
" [2.69790854e-01, 2.24207207e-01, 2.15787586e-01, 2.41485901e-01,\n",
|
||
|
|
" 2.47844655e-01, 2.75432228e-01, 3.20075584e-01, 3.38286591e-01,\n",
|
||
|
|
" 6.71779625e+00, 6.31471809e-01, 5.43326115e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.473 0.2884 ... 0.7047 0.6838</div><input id='attrs-4c39759a-f00a-47b8-8dc9-d19fc6ec0139' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c39759a-f00a-47b8-8dc9-d19fc6ec0139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b39996c-8e62-4876-bc9c-9ba59c0bdd98' class='xr-var-data-in' type='checkbox'><label for='data-3b39996c-8e62-4876-bc9c-9ba59c0bdd98' 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([[4.72961568e-01, 2.88359766e-01, 2.27229296e-01, 2.42215079e-01,\n",
|
||
|
|
" 2.48449854e-01, 2.89873557e-01, 3.56157343e-01, 3.66590098e-01,\n",
|
||
|
|
" 3.43237077e+02, 5.55688418e-01, 7.77098961e-01],\n",
|
||
|
|
" [4.72836818e-01, 3.56274668e-01, 2.63130939e-01, 2.40808876e-01,\n",
|
||
|
|
" 2.58867524e-01, 2.99745634e-01, 3.40219856e-01, 3.54574654e-01,\n",
|
||
|
|
" 6.44011924e-01, 4.64897840e-01, 7.51901115e-01],\n",
|
||
|
|
" [4.12335168e-01, 2.83845657e-01, 2.32807499e-01, 2.39371729e-01,\n",
|
||
|
|
" 2.66947023e-01, 3.02268542e-01, 3.39268203e-01, 3.29131343e-01,\n",
|
||
|
|
" 6.07439127e-01, 5.55776865e-01, 9.37292179e-01],\n",
|
||
|
|
" [4.41951448e-01, 2.35249230e-01, 2.90604150e-01, 2.50706366e-01,\n",
|
||
|
|
" 2.75295969e-01, 3.47257460e-01, 3.37367075e-01, 3.71741725e-01,\n",
|
||
|
|
" 2.69804862e+04, 5.16673630e-01, 3.20122419e+02],\n",
|
||
|
|
" [3.93476889e-01, 2.55939168e-01, 2.29798024e-01, 2.60081186e-01,\n",
|
||
|
|
" 2.63023818e-01, 2.93690407e-01, 3.54131295e-01, 3.60443580e-01,\n",
|
||
|
|
" 1.12155031e+00, 7.04655972e-01, 6.83791670e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4067 0.2715 ... 0.6158 0.5322</div><input id='attrs-795a356d-261c-4e98-aee1-9fcdebeb9d52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-795a356d-261c-4e98-aee1-9fcdebeb9d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24175d95-b505-4d53-bff5-0ea1101f7b96' class='xr-var-data-in' type='checkbox'><label for='data-24175d95-b505-4d53-bff5-0ea1101f7b96' 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([[4.06654450e-01, 2.71488919e-01, 2.18931978e-01, 2.34625483e-01,\n",
|
||
|
|
" 2.32487747e-01, 2.82422649e-01, 3.16705370e-01, 3.15533315e-01,\n",
|
||
|
|
" 1.23535011e+01, 4.44479398e-01, 5.69567405e-01],\n",
|
||
|
|
" [4.72599301e-01, 4.04978433e-01, 2.47100938e-01, 2.26748682e-01,\n",
|
||
|
|
" 2.41703515e-01, 2.77383757e-01, 3.00506162e-01, 3.39041762e-01,\n",
|
||
|
|
" 5.58268252e-01, 3.98515560e-01, 5.65437909e-01],\n",
|
||
|
|
" [3.44167875e-01, 2.67614933e-01, 2.24000411e-01, 2.29653027e-01,\n",
|
||
|
|
" 2.49724904e-01, 2.72998922e-01, 3.10390936e-01, 3.19999626e-01,\n",
|
||
|
|
" 5.23098024e-01, 4.58721975e-01, 6.64432727e-01],\n",
|
||
|
|
" [3.89120074e-01, 2.26177573e-01, 2.72411609e-01, 2.42751524e-01,\n",
|
||
|
|
" 2.63961482e-01, 3.17092545e-01, 3.19526663e-01, 3.22432108e-01,\n",
|
||
|
|
" 6.41302765e+02, 4.34104378e-01, 2.54645912e+01],\n",
|
||
|
|
" [3.49071224e-01, 2.55966778e-01, 2.22404061e-01, 2.51968387e-01,\n",
|
||
|
|
" 2.55294572e-01, 2.78662011e-01, 3.21893786e-01, 3.42829829e-01,\n",
|
||
|
|
" 2.75018760e+00, 6.15842516e-01, 5.32203246e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.199 0.5443 ... 0.6814 0.6551</div><input id='attrs-815f8ea7-5316-41e8-ab84-5a66dacdbf91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-815f8ea7-5316-41e8-ab84-5a66dacdbf91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2e3aca5-5439-4f6c-b6f3-7dcc27eaef7e' class='xr-var-data-in' type='checkbox'><label for='data-a2e3aca5-5439-4f6c-b6f3-7dcc27eaef7e' 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([[2.19915120e+00, 5.44321962e-01, 2.53704498e-01, 2.37772412e-01,\n",
|
||
|
|
" 2.36780072e-01, 2.72624706e-01, 3.31966151e-01, 3.44197602e-01,\n",
|
||
|
|
" 3.43236051e+02, 5.31153332e-01, 7.56071907e-01],\n",
|
||
|
|
" [1.19235308e+00, 7.99923763e-01, 3.41253990e-01, 2.41269565e-01,\n",
|
||
|
|
" 2.47448686e-01, 2.81594732e-01, 3.17631991e-01, 3.33061626e-01,\n",
|
||
|
|
" 8.17174586e-01, 4.38516002e-01, 7.29889334e-01],\n",
|
||
|
|
" [1.17376058e+00, 5.34482837e-01, 3.03101058e-01, 2.40851273e-01,\n",
|
||
|
|
" 2.56323446e-01, 2.81746545e-01, 3.15202324e-01, 3.05237139e-01,\n",
|
||
|
|
" 9.00085649e-01, 5.27200762e-01, 9.09559446e-01],\n",
|
||
|
|
" [1.47627490e+00, 5.04673958e-01, 3.39169843e-01, 2.51461332e-01,\n",
|
||
|
|
" 2.61723353e-01, 3.25540430e-01, 3.17785108e-01, 3.46009011e-01,\n",
|
||
|
|
" 2.69805636e+04, 4.91442571e-01, 3.20121518e+02],\n",
|
||
|
|
" [1.07111596e+00, 4.08835659e-01, 2.50446161e-01, 2.60160608e-01,\n",
|
||
|
|
" 2.55434849e-01, 2.78448303e-01, 3.31963581e-01, 3.36081959e-01,\n",
|
||
|
|
" 1.20207122e+00, 6.81354888e-01, 6.55114890e-01]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a8f43fd-6342-4d5b-be29-56366bf0b591' class='xr-section-summary-in' type='checkbox' ><label for='section-3a8f43fd-6342-4d5b-be29-56366bf0b591' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-02be0481-08d5-41ac-a360-df3eb494ddaf' class='xr-index-data-in' type='checkbox'/><label for='index-02be0481-08d5-41ac-a360-df3eb494ddaf' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4766b51f-7fa1-4f2a-90a6-d8eff4691206' class='xr-index-data-in' type='checkbox'/><label for='index-4766b51f-7fa1-4f2a-90a6-d8eff4691206' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44775fcc-d91a-43ec-9eb4-125b72978c3c' class='xr-section-summary-in' type='checkbox' ><label for='section-44775fcc-d91a-43ec-9eb4-125b72978c3c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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><dt><span>x_start :</span></dt><dd>810</dd><dt><span>x_end :</span></dt><dd>1110</dd><dt><span>y_end :</span></dt><dd>1025</dd><dt><span>y_start :</span></dt><dd>725</dd><dt><span>x_center :</span></dt><dd>960</dd><dt><span>y_center :</span></dt><dd>875</dd><dt><span>x_span :</span></dt><dd>300</dd><dt><span>y_span :</span></dt><dd>300</dd></dl></div></li></ul></div></div>"
|
||
|
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],
|
||
|
|
"text/plain": [
|
||
|
|
"<xarray.Dataset>\n",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" A_amplitude (runs, truncation_value) float64 41.35 8.536 ... 4.752\n",
|
||
|
|
" A_centerx (runs, truncation_value) float64 1.373 0.4656 ... 0.0426\n",
|
||
|
|
" A_centery (runs, truncation_value) float64 1.829 0.7057 ... 0.1419\n",
|
||
|
|
" A_sigmax (runs, truncation_value) float64 2.502 0.6067 ... 0.05853\n",
|
||
|
|
" A_sigmay (runs, truncation_value) float64 2.561 0.8023 ... 0.139\n",
|
||
|
|
" B_amplitude (runs, truncation_value) float64 38.55 11.89 ... 6.328\n",
|
||
|
|
" B_centerx (runs, truncation_value) float64 0.271 0.2215 ... 0.5065\n",
|
||
|
|
" B_centery (runs, truncation_value) float64 0.3084 0.239 ... 0.5433\n",
|
||
|
|
" B_sigmax (runs, truncation_value) float64 0.473 0.2884 ... 0.6838\n",
|
||
|
|
" B_sigmay (runs, truncation_value) float64 0.4067 0.2715 ... 0.5322\n",
|
||
|
|
" delta (runs, truncation_value) float64 2.199 0.5443 ... 0.6551\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 17,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"std = fitAnalyser.get_fit_std(fitResult)\n",
|
||
|
|
"std"
|
||
|
|
]
|
||
|
|
},
|
||
|
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{
|
||
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"cell_type": "markdown",
|
||
|
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"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Work with uncertainties"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Sometimes we will do some other calculation based on the fit result. It is always a little bit tricky to calculate the error propagation. Fortunately, there is a package provide a solution to deal with it, please have a look of the following link.\n",
|
||
|
|
"\n",
|
||
|
|
"https://pythonhosted.org/uncertainties/\n",
|
||
|
|
"\n",
|
||
|
|
"We can also read the fit results as a format combining the value and standard deviation, which is used in the above package. Such a format allows us to do the basic calculation with auto-calculated error propagation."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 18,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
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{
|
||
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"data": {
|
||
|
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"text/html": [
|
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"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
|
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"<defs>\n",
|
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"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
|
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|
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"<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",
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"<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",
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"<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",
|
||
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"</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'><xarray.Dataset>\n",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" A_amplitude (runs, truncation_value) object (9+/-4)e+01 ... 206+/-5\n",
|
||
|
|
" A_centerx (runs, truncation_value) object 147.4+/-1.4 ... 152.82+...\n",
|
||
|
|
" A_centery (runs, truncation_value) object 151.3+/-1.8 ... 150.44+...\n",
|
||
|
|
" A_sigmax (runs, truncation_value) object 15.9+/-2.5 ... 3.96+/-0.06\n",
|
||
|
|
" A_sigmay (runs, truncation_value) object 19.1+/-2.6 ... 10.61+/-...\n",
|
||
|
|
" B_amplitude (runs, truncation_value) object (1.78+/-0.04)e+03 ... 1...\n",
|
||
|
|
" B_centerx (runs, truncation_value) object 149.77+/-0.27 ... 154.1...\n",
|
||
|
|
" B_centery (runs, truncation_value) object 147.45+/-0.31 ... 150.4...\n",
|
||
|
|
" B_sigmax (runs, truncation_value) object 32.5+/-0.5 ... 15.9+/-0.7\n",
|
||
|
|
" B_sigmay (runs, truncation_value) object 33.3+/-0.4 ... 13.8+/-0.5\n",
|
||
|
|
" delta (runs, truncation_value) object -16.7+/-2.2 ... -11.9+/...\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300</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-4344dd9f-2c32-4782-972b-615de4b21a48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4344dd9f-2c32-4782-972b-615de4b21a48' 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>: 5</li><li><span class='xr-has-index'>truncation_value</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5843a6d4-c2c8-40a5-bd42-74b0414d3d9d' class='xr-section-summary-in' type='checkbox' checked><label for='section-5843a6d4-c2c8-40a5-bd42-74b0414d3d9d' 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'>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 3.0 4.0</div><input id='attrs-08016d88-eee0-43ce-8e14-fd80748ebacf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08016d88-eee0-43ce-8e14-fd80748ebacf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f1c10f-2f72-4950-8614-86842c904efe' class='xr-var-data-in' type='checkbox'><label for='data-e4f1c10f-2f72-4950-8614-86842c904efe' 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., 3., 4.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>truncation_value</span></div><div class='xr-var-dims'>(truncation_value)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.83 0.85 ... 0.97 0.99 1.0</div><input id='attrs-857cbbe0-a4b4-442e-a2f1-35a5ffc4f275' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-857cbbe0-a4b4-442e-a2f1-35a5ffc4f275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4b3cf9-9b40-4588-9c45-ddc4d5c30a0d' class='xr-var-data-in' type='checkbox'><label for='data-ec4b3cf9-9b40-4588-9c45-ddc4d5c30a0d' 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([0.8 , 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0f445e3-e28a-4d74-89a6-a4839a11e398' class='xr-section-summary-in' type='checkbox' checked><label for='section-b0f445e3-e28a-4d74-89a6-a4839a11e398' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(9+/-4)e+01 74+/-9 ... 206+/-5</div><input id='attrs-40e7dd60-3c37-448c-bd1b-316d9402b3ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40e7dd60-3c37-448c-bd1b-316d9402b3ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a38ab3c-af99-463d-9545-f7d571dd2ef7' class='xr-var-data-in' type='checkbox'><label for='data-0a38ab3c-af99-463d-9545-f7d571dd2ef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href
|
||
|
|
" 73.76056456492633+/-8.535927522067164,\n",
|
||
|
|
" 61.257178931708154+/-3.548925202189388,\n",
|
||
|
|
" 82.02977417551669+/-3.3663082751567805,\n",
|
||
|
|
" 89.85174968215657+/-3.4158821755431874,\n",
|
||
|
|
" 89.98098096512223+/-3.23781730660918,\n",
|
||
|
|
" 109.52351131461167+/-3.6391211539802413,\n",
|
||
|
|
" 97.58957784582442+/-3.5501603222143956,\n",
|
||
|
|
" 532.1895081768257+/-7.241586013893313,\n",
|
||
|
|
" 171.6467006741975+/-4.002954910436906,\n",
|
||
|
|
" 214.73142279127188+/-3.938892040945838],\n",
|
||
|
|
" [148.41500588322282+/-39.09039397852023,\n",
|
||
|
|
" 145.6150282175172+/-24.24722259598128,\n",
|
||
|
|
" 94.92340957918049+/-7.317049959454216,\n",
|
||
|
|
" 72.2190561335944+/-3.602122607106354,\n",
|
||
|
|
" 84.25138954461792+/-3.212287686069062,\n",
|
||
|
|
" 100.46822241664755+/-3.3951447205932093,\n",
|
||
|
|
" 110.93503998583688+/-3.507212402944828,\n",
|
||
|
|
" 78.36838557204585+/-3.162498086748741,\n",
|
||
|
|
" 94.33703707558132+/-15.15014763423152,\n",
|
||
|
|
"...\n",
|
||
|
|
" 96.68708012170059+/-6.832792897384724,\n",
|
||
|
|
" 70.77678060058007+/-3.475100062592538,\n",
|
||
|
|
" 87.10001164030419+/-3.5469539243783808,\n",
|
||
|
|
" 103.46997628689134+/-3.5294384853516183,\n",
|
||
|
|
" 95.1466356044004+/-3.1984353903335845,\n",
|
||
|
|
" 94.06124781232714+/-3.667428798184913,\n",
|
||
|
|
" 485.1317253372093+/-9.461909478029698,\n",
|
||
|
|
" 152.33301794466743+/-3.8137756002898264,\n",
|
||
|
|
" 288.72901879236593+/-2.314266246252939],\n",
|
||
|
|
" [104.31036272198831+/-23.361802886643076,\n",
|
||
|
|
" 68.66710998399797+/-5.920332039818534,\n",
|
||
|
|
" 61.12873582156941+/-3.423915790119221,\n",
|
||
|
|
" 85.32616375119623+/-4.160768278472826,\n",
|
||
|
|
" 74.21429556583232+/-3.0320760617498426,\n",
|
||
|
|
" 87.74512330543023+/-3.0469297136967626,\n",
|
||
|
|
" 102.52553580448769+/-3.4034296132718564,\n",
|
||
|
|
" 85.74671110287964+/-3.488683162453253,\n",
|
||
|
|
" 274.83792979180555+/-78.00226286239986,\n",
|
||
|
|
" 190.9945240324237+/-4.164925399776236,\n",
|
||
|
|
" 206.32857438484933+/-4.751755957006824]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>147.4+/-1.4 ... 152.82+/-0.04</div><input id='attrs-74e8238b-baf2-45b4-a5d4-fb3ef4b27dc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74e8238b-baf2-45b4-a5d4-fb3ef4b27dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20630c5-4fcd-4076-a55e-1756d99e647f' class='xr-var-data-in' type='checkbox'><label for='data-e20630c5-4fcd-4076-a55e-1756d99e647f' 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([[147.35658257446002+/-1.3727527054893753,\n",
|
||
|
|
" 151.44869095052894+/-0.46564767393578377,\n",
|
||
|
|
" 151.03280367252364+/-0.1783507013649013,\n",
|
||
|
|
" 149.7253195308006+/-0.11981297817175503,\n",
|
||
|
|
" 151.21663764283258+/-0.10298812814823738,\n",
|
||
|
|
" 150.79959828326716+/-0.0889959478195437,\n",
|
||
|
|
" 149.2256681578159+/-0.08702270426730412,\n",
|
||
|
|
" 149.7313670843037+/-0.09711865256312112,\n",
|
||
|
|
" 152.01462231664286+/-0.3022471120886092,\n",
|
||
|
|
" 152.02274818241068+/-0.04919933765157741,\n",
|
||
|
|
" 152.97453587929408+/-0.03767387506666367],\n",
|
||
|
|
" [151.75284936211438+/-0.8345906186483887,\n",
|
||
|
|
" 154.79722431154462+/-0.6396424877756492,\n",
|
||
|
|
" 151.44589411579776+/-0.28050157348926474,\n",
|
||
|
|
" 150.38113633168228+/-0.13988075734953734,\n",
|
||
|
|
" 150.2022338375022+/-0.10183172113123262,\n",
|
||
|
|
" 151.19054749940534+/-0.08559290605354591,\n",
|
||
|
|
" 152.34142813146076+/-0.07848608231447052,\n",
|
||
|
|
" 150.97350460226963+/-0.09560750185351725,\n",
|
||
|
|
" 152.99632453327143+/-0.5328864545667023,\n",
|
||
|
|
"...\n",
|
||
|
|
" 151.87197238230672+/-0.2650354017933109,\n",
|
||
|
|
" 150.03042241372953+/-0.14280239154843152,\n",
|
||
|
|
" 151.42003475333627+/-0.11040200813326806,\n",
|
||
|
|
" 151.07674412829488+/-0.08525170503495666,\n",
|
||
|
|
" 150.5342452365423+/-0.08422186783334362,\n",
|
||
|
|
" 151.3627544004239+/-0.09946159371013555,\n",
|
||
|
|
" 151.2741147718366+/-0.33900843850129,\n",
|
||
|
|
" 151.47655710177486+/-0.05097848104685737,\n",
|
||
|
|
" 151.82911295821808+/-0.0376317887719723],\n",
|
||
|
|
" [154.2747885416835+/-0.7888825946165041,\n",
|
||
|
|
" 151.6308744083375+/-0.3490114633756347,\n",
|
||
|
|
" 151.20635115439393+/-0.16877678965988724,\n",
|
||
|
|
" 150.81624618296868+/-0.1536102364155593,\n",
|
||
|
|
" 150.73325793391044+/-0.1114052016597937,\n",
|
||
|
|
" 148.60106673995304+/-0.0881201390010303,\n",
|
||
|
|
" 150.35065806595094+/-0.08422454423638877,\n",
|
||
|
|
" 150.9896251643052+/-0.10064893067132687,\n",
|
||
|
|
" 152.7989112936687+/-0.514154485578547,\n",
|
||
|
|
" 151.74830745233456+/-0.042941267689209,\n",
|
||
|
|
" 152.81634248533373+/-0.04259848135736634]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>151.3+/-1.8 ... 150.44+/-0.14</div><input id='attrs-1e64b272-050b-49de-ba36-dc2e32c68f53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e64b272-050b-49de-ba36-dc2e32c68f53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b17c331-ee8d-4448-a550-f7d523747cbb' class='xr-var-data-in' type='checkbox'><label for='data-9b17c331-ee8d-4448-a550-f7d523747cbb' 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([[151.2839458880331+/-1.829316824826828,\n",
|
||
|
|
" 147.24150185539412+/-0.7057022055683831,\n",
|
||
|
|
" 148.72611408598524+/-0.4287679333158799,\n",
|
||
|
|
" 148.71669934795293+/-0.2906549150884485,\n",
|
||
|
|
" 148.86331632657718+/-0.3015362509148028,\n",
|
||
|
|
" 150.16395069449482+/-0.26494553118252956,\n",
|
||
|
|
" 152.87180324947852+/-0.22368236905733271,\n",
|
||
|
|
" 143.01228826995762+/-0.22421097705528029,\n",
|
||
|
|
" 157.30707731491353+/-0.30777979465210936,\n",
|
||
|
|
" 156.69107701383817+/-0.13240613124440306,\n",
|
||
|
|
" 149.80082720386957+/-0.10918892136983431],\n",
|
||
|
|
" [150.2353128160028+/-0.9443184698534371,\n",
|
||
|
|
" 148.20649663059598+/-0.6077866042533147,\n",
|
||
|
|
" 149.39950181507152+/-0.49261835893511763,\n",
|
||
|
|
" 151.05181870977842+/-0.3936541988812647,\n",
|
||
|
|
" 150.6892262907698+/-0.27748013289873646,\n",
|
||
|
|
" 150.92349357189585+/-0.25035212776538496,\n",
|
||
|
|
" 148.74791296331952+/-0.22946575835233796,\n",
|
||
|
|
" 155.7045196294939+/-0.249859078062335,\n",
|
||
|
|
" 169.9664204384583+/-0.6297845568899584,\n",
|
||
|
|
"...\n",
|
||
|
|
" 149.30281946475702+/-0.46076191899923064,\n",
|
||
|
|
" 148.1772004682875+/-0.34495894989135467,\n",
|
||
|
|
" 150.10029746821937+/-0.3017296102983003,\n",
|
||
|
|
" 151.3043077505104+/-0.2559252968471558,\n",
|
||
|
|
" 149.08990239453158+/-0.215114811025664,\n",
|
||
|
|
" 150.8501386570686+/-0.2554587494591535,\n",
|
||
|
|
" 151.3836069099311+/-0.33295279971308983,\n",
|
||
|
|
" 148.76234516326355+/-0.17058155609199388,\n",
|
||
|
|
" 151.38588399417014+/-0.08620530926662816],\n",
|
||
|
|
" [148.80726574592722+/-1.0756701266594844,\n",
|
||
|
|
" 148.31953845670276+/-0.46326371332000216,\n",
|
||
|
|
" 148.60253327910877+/-0.4302549246697413,\n",
|
||
|
|
" 147.80272439794774+/-0.34692409930889195,\n",
|
||
|
|
" 147.19073079699558+/-0.28673675578233065,\n",
|
||
|
|
" 149.1864850926175+/-0.2587284706312692,\n",
|
||
|
|
" 150.498340471091+/-0.23708082117490248,\n",
|
||
|
|
" 151.8053780485012+/-0.2547870001155802,\n",
|
||
|
|
" 140.14296659241558+/-2.5996023423082417,\n",
|
||
|
|
" 151.29080636002382+/-0.13666223487686108,\n",
|
||
|
|
" 150.43594967254194+/-0.14190089144102574]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>15.9+/-2.5 ... 3.96+/-0.06</div><input id='attrs-bc193415-d6ab-41c6-a8a2-ef3305a27ddf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc193415-d6ab-41c6-a8a2-ef3305a27ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b33860b-96f0-44d1-b593-dfe2e7c001e9' class='xr-var-data-in' type='checkbox'><label for='data-7b33860b-96f0-44d1-b593-dfe2e7c001e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[15.860336835731808+/-2.5021081546034893,\n",
|
||
|
|
" 9.018467496192105+/-0.606732407563129,\n",
|
||
|
|
" 4.671421736925886+/-0.20515777361639356,\n",
|
||
|
|
" 4.444623316201177+/-0.13801476004470056,\n",
|
||
|
|
" 4.145287320373015+/-0.1199541728852385,\n",
|
||
|
|
" 3.8231273472551983+/-0.10400530613636956,\n",
|
||
|
|
" 4.3241644194841875+/-0.10431080227895158,\n",
|
||
|
|
" 4.506680224739807+/-0.11584280883254539,\n",
|
||
|
|
" 22.212458660785703+/-0.30224870174417107,\n",
|
||
|
|
" 4.0287539334186135+/-0.06311101542301505,\n",
|
||
|
|
" 3.9039003515907726+/-0.04876892597551594],\n",
|
||
|
|
" [16.653667019295312+/-1.4437167238759603,\n",
|
||
|
|
" 15.084379675398349+/-0.9092095384366196,\n",
|
||
|
|
" 7.7982412554339255+/-0.3640561142872948,\n",
|
||
|
|
" 4.314433981664749+/-0.1629232234084342,\n",
|
||
|
|
" 4.020823153078126+/-0.11745136965738474,\n",
|
||
|
|
" 3.9213352831433568+/-0.10021902891354785,\n",
|
||
|
|
" 4.017325472614189+/-0.09383076587235913,\n",
|
||
|
|
" 3.776071153651131+/-0.1124106923238107,\n",
|
||
|
|
" 11.70680121384749+/-0.7390150721343427,\n",
|
||
|
|
"...\n",
|
||
|
|
" 7.612027541518859+/-0.33653577135445556,\n",
|
||
|
|
" 4.5039905455406455+/-0.1656196856578219,\n",
|
||
|
|
" 4.2062885767719+/-0.12882167808361056,\n",
|
||
|
|
" 3.9330735877390737+/-0.10061599254862207,\n",
|
||
|
|
" 3.9488846592325046+/-0.09861942576151124,\n",
|
||
|
|
" 4.251955586666529+/-0.11933153818889743,\n",
|
||
|
|
" 22.373128656916833+/-0.3622015556659721,\n",
|
||
|
|
" 3.720319094626557+/-0.06483756288852549,\n",
|
||
|
|
" 4.699541128694051+/-0.037641814669170104],\n",
|
||
|
|
" [13.661759397609686+/-1.2674652565314353,\n",
|
||
|
|
" 7.789260527342016+/-0.4234868285408567,\n",
|
||
|
|
" 4.483763473600636+/-0.19301044345619955,\n",
|
||
|
|
" 5.160747578953156+/-0.18167604331615717,\n",
|
||
|
|
" 3.9975751871867793+/-0.12668018803960593,\n",
|
||
|
|
" 3.787085333696158+/-0.10143472217957544,\n",
|
||
|
|
" 4.043231617488043+/-0.09968957711142692,\n",
|
||
|
|
" 4.100812298258319+/-0.12014094196012937,\n",
|
||
|
|
" 19.824710290576512+/-0.6825701511655348,\n",
|
||
|
|
" 3.7811651866446265+/-0.05553421500376992,\n",
|
||
|
|
" 3.963895272850106+/-0.05853343916600622]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>A_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>19.1+/-2.6 ... 10.61+/-0.14</div><input id='attrs-0b8d67f5-4d74-4663-bf80-a4c45d64c356' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b8d67f5-4d74-4663-bf80-a4c45d64c356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dce98f8e-10de-4022-9703-f5fe33b3b30c' class='xr-var-data-in' type='checkbox'><label for='data-dce98f8e-10de-4022-9703-f5fe33b3b30c' 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([[19.126006486369683+/-2.5607291299158637,\n",
|
||
|
|
" 13.119794267117575+/-0.8023442905278281,\n",
|
||
|
|
" 10.79097924824702+/-0.4439656474092933,\n",
|
||
|
|
" 10.354469293064817+/-0.30092614792472977,\n",
|
||
|
|
" 11.454405296800097+/-0.3051213556570911,\n",
|
||
|
|
" 10.752939752477435+/-0.26858687782067064,\n",
|
||
|
|
" 10.390752947106503+/-0.22733818612185655,\n",
|
||
|
|
" 9.298550649701577+/-0.2196602389094534,\n",
|
||
|
|
" 22.619165465336945+/-0.3077810340161551,\n",
|
||
|
|
" 9.460627742638442+/-0.1288417515253295,\n",
|
||
|
|
" 9.6189307408148+/-0.10648424134429936],\n",
|
||
|
|
" [18.374138350020697+/-1.517950737084869,\n",
|
||
|
|
" 14.936420540217329+/-0.9471539050808155,\n",
|
||
|
|
" 12.972327097886307+/-0.5408199120650325,\n",
|
||
|
|
" 11.47917760686184+/-0.4001348715733418,\n",
|
||
|
|
" 10.435889924376486+/-0.28305136725573543,\n",
|
||
|
|
" 10.791808861647066+/-0.25275273588514435,\n",
|
||
|
|
" 10.863662998552966+/-0.22965697771003002,\n",
|
||
|
|
" 9.270680493013959+/-0.2541391247466058,\n",
|
||
|
|
" 10.979091638792877+/-0.7266854575756488,\n",
|
||
|
|
"...\n",
|
||
|
|
" 12.600570000896163+/-0.5036529791730312,\n",
|
||
|
|
" 10.429107618337827+/-0.3571106868420577,\n",
|
||
|
|
" 10.897669432195974+/-0.30797540682504954,\n",
|
||
|
|
" 10.981002964990902+/-0.2561296351087414,\n",
|
||
|
|
" 9.549226478110224+/-0.21997047640261871,\n",
|
||
|
|
" 9.966767446151533+/-0.25373163492629236,\n",
|
||
|
|
" 21.968583265840405+/-0.3555478533974791,\n",
|
||
|
|
" 10.68052953879806+/-0.16478861899855546,\n",
|
||
|
|
" 10.765449283022289+/-0.08622270074293793],\n",
|
||
|
|
" [17.44929619108874+/-1.3925028858428408,\n",
|
||
|
|
" 10.166405949335147+/-0.528953438850541,\n",
|
||
|
|
" 10.999618091486422+/-0.443455312003405,\n",
|
||
|
|
" 11.148575256656544+/-0.36205788812693357,\n",
|
||
|
|
" 9.91124249592798+/-0.2953721655725335,\n",
|
||
|
|
" 10.542925339671095+/-0.2620378579986912,\n",
|
||
|
|
" 10.611624609563744+/-0.23873927602698705,\n",
|
||
|
|
" 9.716275435636975+/-0.2600158872682979,\n",
|
||
|
|
" 14.77240983837925+/-0.9833052433004487,\n",
|
||
|
|
" 10.359695621100855+/-0.1329249314196161,\n",
|
||
|
|
" 10.607666958514722+/-0.13899744396105262]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_amplitude</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>(1.78+/-0.04)e+03 ... 160+/-6</div><input id='attrs-23e0e7cf-49de-4aa6-b03c-dc0302213f97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23e0e7cf-49de-4aa6-b03c-dc0302213f97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d11d29a-567b-40df-a432-d165a4068abc' class='xr-var-data-in' type='checkbox'><label for='data-3d11d29a-567b-40df-a432-d165a4068abc' 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([[1783.4505470093975+/-38.55474973769937,\n",
|
||
|
|
" 1583.367955386121+/-11.892410719723728,\n",
|
||
|
|
" 1294.1427246760277+/-9.326973981614957,\n",
|
||
|
|
" 1085.9674567041911+/-8.783896864768144,\n",
|
||
|
|
" 980.3033258172821+/-8.429966556153339,\n",
|
||
|
|
" 710.702545557956+/-7.851059274540122,\n",
|
||
|
|
" 589.9431966374505+/-7.770632709507968,\n",
|
||
|
|
" 473.6037191028235+/-7.198748788486686,\n",
|
||
|
|
" -1554.9574848078128+/-91836.96989438758,\n",
|
||
|
|
" 223.9167276316795+/-6.305200864349702,\n",
|
||
|
|
" 153.32675239662007+/-6.104340830252059],\n",
|
||
|
|
" [1755.5747376929044+/-35.97886207410223,\n",
|
||
|
|
" 1618.712591762719+/-22.713267269709537,\n",
|
||
|
|
" 1455.2114896338119+/-10.746029604517,\n",
|
||
|
|
" 1097.0352831402772+/-8.890385556296682,\n",
|
||
|
|
" 917.6837114638918+/-8.362600170019222,\n",
|
||
|
|
" 730.4978430623682+/-8.136652692366296,\n",
|
||
|
|
" 583.1595447189275+/-7.587750849207557,\n",
|
||
|
|
" 495.27277533409085+/-7.306841284510048,\n",
|
||
|
|
" 369.5146250235052+/-16.805097603928182,\n",
|
||
|
|
"...\n",
|
||
|
|
" 1353.9955834116154+/-10.850148732917633,\n",
|
||
|
|
" 1030.3350401966509+/-8.716777971851396,\n",
|
||
|
|
" 892.0056163932509+/-8.657502915041901,\n",
|
||
|
|
" 615.6802280993078+/-8.092731400749054,\n",
|
||
|
|
" 575.5395324819432+/-7.5887730085928355,\n",
|
||
|
|
" 520.7789829789416+/-7.603578399475881,\n",
|
||
|
|
" -12794.637702111053+/-923104.8373638523,\n",
|
||
|
|
" 247.6351822842168+/-6.328162695401922,\n",
|
||
|
|
" -512.4111408505026+/-13524.384447726974],\n",
|
||
|
|
" [1787.5274474744454+/-22.189251882576485,\n",
|
||
|
|
" 1413.597738337935+/-10.371305429807931,\n",
|
||
|
|
" 1283.832182854877+/-9.343101011967025,\n",
|
||
|
|
" 1131.8991436071396+/-9.366865538228117,\n",
|
||
|
|
" 932.4473976857394+/-8.552442430499893,\n",
|
||
|
|
" 739.288454628114+/-7.979421151379551,\n",
|
||
|
|
" 576.1758576932972+/-7.696940957083554,\n",
|
||
|
|
" 518.6705061896287+/-7.495301326668071,\n",
|
||
|
|
" 187.26884653862214+/-77.67429575991974,\n",
|
||
|
|
" 171.93192998540695+/-6.4616039587037255,\n",
|
||
|
|
" 159.92341651165464+/-6.327691705966064]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centerx</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>149.77+/-0.27 ... 154.1+/-0.5</div><input id='attrs-411b2026-35e3-4664-bc7e-f0e347337729' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-411b2026-35e3-4664-bc7e-f0e347337729' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-009586f2-5a6f-4364-a6c0-f7667b858d2c' class='xr-var-data-in' type='checkbox'><label for='data-009586f2-5a6f-4364-a6c0-f7667b858d2c' 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([[149.77259545393022+/-0.27096348676646426,\n",
|
||
|
|
" 152.02155216390227+/-0.22148269407960736,\n",
|
||
|
|
" 150.8222695321032+/-0.19755170611071138,\n",
|
||
|
|
" 150.17856412475348+/-0.21034549276886044,\n",
|
||
|
|
" 151.4986944484829+/-0.21334349930537377,\n",
|
||
|
|
" 151.00882072021355+/-0.24806824373703065,\n",
|
||
|
|
" 150.00017539111465+/-0.2976365030176029,\n",
|
||
|
|
" 151.20563350417447+/-0.311270572264415,\n",
|
||
|
|
" 425.4471671031649+/-1917.7805245346653,\n",
|
||
|
|
" 155.07081347632086+/-0.46225830704668547,\n",
|
||
|
|
" 155.3787526785979+/-0.6264418193400905],\n",
|
||
|
|
" [152.18376687383596+/-0.27373614491648834,\n",
|
||
|
|
" 151.414467596611+/-0.26281873956518004,\n",
|
||
|
|
" 151.87836658004133+/-0.20284705179516455,\n",
|
||
|
|
" 150.5499589871522+/-0.20676194813000695,\n",
|
||
|
|
" 150.2322143691497+/-0.2244416046644352,\n",
|
||
|
|
" 152.14621363068946+/-0.2565581879939017,\n",
|
||
|
|
" 152.7295139777507+/-0.2847083747967142,\n",
|
||
|
|
" 151.07172615399887+/-0.30162250219933945,\n",
|
||
|
|
" 150.89663936186258+/-0.5334846846113871,\n",
|
||
|
|
"...\n",
|
||
|
|
" 151.57847362564357+/-0.22890926244357485,\n",
|
||
|
|
" 150.2195483641291+/-0.21618139659893149,\n",
|
||
|
|
" 151.4109399624761+/-0.235932668005744,\n",
|
||
|
|
" 150.73394378755532+/-0.29432684086616645,\n",
|
||
|
|
" 151.18173903724954+/-0.2884499465467387,\n",
|
||
|
|
" 151.31132354357783+/-0.31004697264860187,\n",
|
||
|
|
" 1794.4009458057362+/-78318.32418180678,\n",
|
||
|
|
" 152.9130188171137+/-0.41183695977305995,\n",
|
||
|
|
" -123.18365954603638+/-1398.15877037124],\n",
|
||
|
|
" [152.47370923950172+/-0.2486828343301986,\n",
|
||
|
|
" 151.44312867338033+/-0.2109439779557269,\n",
|
||
|
|
" 151.13645268574652+/-0.20094686366985717,\n",
|
||
|
|
" 151.59289508417712+/-0.2201607104828267,\n",
|
||
|
|
" 151.67957651879482+/-0.23165158459947108,\n",
|
||
|
|
" 149.82793656812112+/-0.25591905182754016,\n",
|
||
|
|
" 149.77567428775137+/-0.2994586149660122,\n",
|
||
|
|
" 151.2174755930937+/-0.3020407969189618,\n",
|
||
|
|
" 151.16624064977492+/-0.9824896717820301,\n",
|
||
|
|
" 154.17608172674252+/-0.5714303239307091,\n",
|
||
|
|
" 154.05517933635204+/-0.5064735148698376]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_centery</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>147.45+/-0.31 ... 150.4+/-0.5</div><input id='attrs-187f4cc8-d75c-4867-8c4c-8861cb5c299a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-187f4cc8-d75c-4867-8c4c-8861cb5c299a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08c4711-ccb1-4870-8b4d-22b9740e6c7e' class='xr-var-data-in' type='checkbox'><label for='data-a08c4711-ccb1-4870-8b4d-22b9740e6c7e' 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([[147.45295194989208+/-0.3083522659603334,\n",
|
||
|
|
" 148.0974665141219+/-0.23899123902231514,\n",
|
||
|
|
" 150.0254999984521+/-0.2115835357552914,\n",
|
||
|
|
" 149.1469112936274+/-0.2266346164778228,\n",
|
||
|
|
" 148.98258536603274+/-0.22975888030022823,\n",
|
||
|
|
" 150.22718775974442+/-0.2785958264264556,\n",
|
||
|
|
" 153.16129423629363+/-0.3116204227058065,\n",
|
||
|
|
" 152.81932316502167+/-0.33982010636279714,\n",
|
||
|
|
" 72.24418703843509+/-12.330596902301377,\n",
|
||
|
|
" 154.5299104123529+/-0.45518573723845307,\n",
|
||
|
|
" 149.1702283127959+/-0.5836771903943897],\n",
|
||
|
|
" [149.47572525757352+/-0.29485909692154016,\n",
|
||
|
|
" 149.34656246875323+/-0.26143084641374137,\n",
|
||
|
|
" 149.83533472058832+/-0.22511797664478206,\n",
|
||
|
|
" 150.93254944051256+/-0.22307635764982814,\n",
|
||
|
|
" 151.0103052434597+/-0.23695400685424034,\n",
|
||
|
|
" 151.51733987577816+/-0.27476760011999973,\n",
|
||
|
|
" 147.49311189893734+/-0.3002763416325275,\n",
|
||
|
|
" 151.61473460452595+/-0.33615658279736677,\n",
|
||
|
|
" 153.7661835957186+/-1.0864067205456087,\n",
|
||
|
|
"...\n",
|
||
|
|
" 150.01635145341498+/-0.24932597628425426,\n",
|
||
|
|
" 149.5815498283574+/-0.23470396165839805,\n",
|
||
|
|
" 151.26380613376625+/-0.2587174898144533,\n",
|
||
|
|
" 148.55592561413462+/-0.3170695888085809,\n",
|
||
|
|
" 152.23705055274704+/-0.3139672552811612,\n",
|
||
|
|
" 144.97313414989264+/-0.3282952463322462,\n",
|
||
|
|
" 299.4249608202302+/-607.1323233790305,\n",
|
||
|
|
" 151.1590325930633+/-0.44674574397002587,\n",
|
||
|
|
" 200.0748241237876+/-24.431965173791674],\n",
|
||
|
|
" [149.28876670902272+/-0.26979085358778726,\n",
|
||
|
|
" 148.6408718726947+/-0.22420720694200333,\n",
|
||
|
|
" 148.86311139139536+/-0.21578758550038865,\n",
|
||
|
|
" 148.44094162412216+/-0.2414859011353413,\n",
|
||
|
|
" 147.56308141548737+/-0.24784465508352876,\n",
|
||
|
|
" 151.31740191299292+/-0.2754322281706898,\n",
|
||
|
|
" 147.95630348736913+/-0.32007558373254436,\n",
|
||
|
|
" 155.44600839693098+/-0.3382865907816203,\n",
|
||
|
|
" 166.00908445801264+/-6.717796250609652,\n",
|
||
|
|
" 149.67457383448772+/-0.6314718091955727,\n",
|
||
|
|
" 150.43124106556053+/-0.5433261146137754]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmax</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>32.5+/-0.5 ... 15.9+/-0.7</div><input id='attrs-a27368e1-efad-46e4-82f8-4240ec8eb04a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a27368e1-efad-46e4-82f8-4240ec8eb04a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a9331b-c99d-46b6-b38b-51c626fcf1a8' class='xr-var-data-in' type='checkbox'><label for='data-84a9331b-c99d-46b6-b38b-51c626fcf1a8' 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([[32.53497079822689+/-0.4729615678127935,\n",
|
||
|
|
" 31.39433096134706+/-0.2883597660897553,\n",
|
||
|
|
" 27.643288171180245+/-0.22722929612378928,\n",
|
||
|
|
" 26.227635309821252+/-0.242215079373659,\n",
|
||
|
|
" 25.30006204520641+/-0.24844985350259502,\n",
|
||
|
|
" 22.900702355023153+/-0.2898735566478717,\n",
|
||
|
|
" 23.220101308005322+/-0.35615734285732503,\n",
|
||
|
|
" 21.563179231474496+/-0.3665900983003838,\n",
|
||
|
|
" 51.04673134380755+/-343.2370769196211,\n",
|
||
|
|
" 17.58633398430754+/-0.5556884176691106,\n",
|
||
|
|
" 17.494927389164523+/-0.7770989611534336],\n",
|
||
|
|
" [33.27712832852207+/-0.4728368175211743,\n",
|
||
|
|
" 31.1350729081485+/-0.3562746682075235,\n",
|
||
|
|
" 29.13042226831489+/-0.26313093900657836,\n",
|
||
|
|
" 25.960019384669543+/-0.24080887611530888,\n",
|
||
|
|
" 24.965313874296477+/-0.2588675239478265,\n",
|
||
|
|
" 23.519682936958166+/-0.2997456340724818,\n",
|
||
|
|
" 22.63545942144049+/-0.34021985632083396,\n",
|
||
|
|
" 20.887985590808885+/-0.3545746537691722,\n",
|
||
|
|
" 23.14105763123112+/-0.6440119243670632,\n",
|
||
|
|
"...\n",
|
||
|
|
" 29.76446379821113+/-0.29060414998946255,\n",
|
||
|
|
" 25.822392335045908+/-0.2507063659517471,\n",
|
||
|
|
" 24.71819699048615+/-0.27529596902284525,\n",
|
||
|
|
" 23.039486967672275+/-0.3472574601189607,\n",
|
||
|
|
" 22.25809162293119+/-0.3373670754724408,\n",
|
||
|
|
" 22.097058341555595+/-0.3717417248274327,\n",
|
||
|
|
" 1103.6156392167222+/-26980.486228359703,\n",
|
||
|
|
" 17.762080960812995+/-0.5166736295628915,\n",
|
||
|
|
" 69.21926427808638+/-320.1224187246483],\n",
|
||
|
|
" [33.295736175881146+/-0.39347688902135264,\n",
|
||
|
|
" 29.073070074031243+/-0.2559391676376474,\n",
|
||
|
|
" 27.83726355324668+/-0.22979802433386118,\n",
|
||
|
|
" 26.949990282352264+/-0.260081186416113,\n",
|
||
|
|
" 25.422992040483493+/-0.26302381795665986,\n",
|
||
|
|
" 24.04340187222614+/-0.29369040655816425,\n",
|
||
|
|
" 23.02812015411594+/-0.35413129538040744,\n",
|
||
|
|
" 21.432201872199876+/-0.36044358023889495,\n",
|
||
|
|
" 22.935735350744352+/-1.1215503060249485,\n",
|
||
|
|
" 16.64979816710927+/-0.704655972276601,\n",
|
||
|
|
" 15.852826148500313+/-0.6837916703649396]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>B_sigmay</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>33.3+/-0.4 ... 13.8+/-0.5</div><input id='attrs-0b901c2f-be2e-458b-8d8a-42d6a9944406' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b901c2f-be2e-458b-8d8a-42d6a9944406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91d41d7e-0e7c-4332-8f23-627196079fef' class='xr-var-data-in' type='checkbox'><label for='data-91d41d7e-0e7c-4332-8f23-627196079fef' 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([[33.293343342278405+/-0.4066544500984663,\n",
|
||
|
|
" 32.43099740937326+/-0.27148891867125463,\n",
|
||
|
|
" 28.472783323021986+/-0.21893197835361336,\n",
|
||
|
|
" 27.18103377926991+/-0.23462548292930036,\n",
|
||
|
|
" 25.71431975647876+/-0.23248774717835208,\n",
|
||
|
|
" 24.27199693874956+/-0.2824226488025367,\n",
|
||
|
|
" 22.770785790863183+/-0.3167053704909412,\n",
|
||
|
|
" 20.370406137999066+/-0.3155333149640038,\n",
|
||
|
|
" 25.221405440199703+/-12.353501050690598,\n",
|
||
|
|
" 15.747054930603152+/-0.4444793981872891,\n",
|
||
|
|
" 14.211775169728398+/-0.5695674047029192],\n",
|
||
|
|
" [34.99745368882624+/-0.47259930062476757,\n",
|
||
|
|
" 33.209468150285915+/-0.4049784334626913,\n",
|
||
|
|
" 30.581257424467506+/-0.24710093842031955,\n",
|
||
|
|
" 26.52760871514206+/-0.22674868214473995,\n",
|
||
|
|
" 25.116618253458665+/-0.2417035148301304,\n",
|
||
|
|
" 23.708944223278383+/-0.277383756606172,\n",
|
||
|
|
" 22.081559134612146+/-0.30050616164939203,\n",
|
||
|
|
" 21.77847573557396+/-0.3390417619506489,\n",
|
||
|
|
" 21.59150892237305+/-0.5582682518179167,\n",
|
||
|
|
"...\n",
|
||
|
|
" 30.834968586600677+/-0.27241160921173674,\n",
|
||
|
|
" 26.866610640622174+/-0.24275152442848408,\n",
|
||
|
|
" 25.70634067075639+/-0.2639614815472633,\n",
|
||
|
|
" 23.059419248253157+/-0.31709254460316105,\n",
|
||
|
|
" 22.882322357909604+/-0.319526663295368,\n",
|
||
|
|
" 21.204198371102226+/-0.3224321076860436,\n",
|
||
|
|
" 309.0143825127214+/-641.3027645024034,\n",
|
||
|
|
" 16.700709993228845+/-0.43410437753408676,\n",
|
||
|
|
" 51.10807299975128+/-25.46459121666361],\n",
|
||
|
|
" [34.22146325864612+/-0.34907122443873395,\n",
|
||
|
|
" 30.3244037985267+/-0.2559667779101596,\n",
|
||
|
|
" 28.76138497555883+/-0.22240406118282088,\n",
|
||
|
|
" 28.27677548228437+/-0.2519683873228171,\n",
|
||
|
|
" 26.241624910802816+/-0.2552945715815403,\n",
|
||
|
|
" 24.57777005543095+/-0.27866201116092393,\n",
|
||
|
|
" 22.952253804126208+/-0.32189378595400997,\n",
|
||
|
|
" 22.40814737132149+/-0.3428298294377704,\n",
|
||
|
|
" 16.893511181682335+/-2.7501875962284204,\n",
|
||
|
|
" 16.344615274167303+/-0.6158425160306178,\n",
|
||
|
|
" 13.789276360488932+/-0.5322032462465591]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta</span></div><div class='xr-var-dims'>(runs, truncation_value)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>-16.7+/-2.2 ... -11.9+/-0.7</div><input id='attrs-f4f33e84-e51f-46b7-ae74-5bf33cdb13c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4f33e84-e51f-46b7-ae74-5bf33cdb13c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47885b13-3680-4b71-85b2-f557b30c924b' class='xr-var-data-in' type='checkbox'><label for='data-47885b13-3680-4b71-85b2-f557b30c924b' 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([[-16.67463396249508+/-2.1991511965119726,\n",
|
||
|
|
" -22.375863465154954+/-0.5443219620873246,\n",
|
||
|
|
" -22.97186643425436+/-0.253704497852298,\n",
|
||
|
|
" -21.783011993620075+/-0.23777241238485272,\n",
|
||
|
|
" -21.154774724833395+/-0.2367800720748362,\n",
|
||
|
|
" -19.077575007767955+/-0.2726247057851301,\n",
|
||
|
|
" -18.895936888521135+/-0.33196615114467765,\n",
|
||
|
|
" -17.05649900673469+/-0.3441976023691042,\n",
|
||
|
|
" -28.834272683021847+/-343.23605093560667,\n",
|
||
|
|
" -13.557580050888927+/-0.5311533324080612,\n",
|
||
|
|
" -13.59102703757375+/-0.7560719065618806],\n",
|
||
|
|
" [-16.623461309226755+/-1.1923530766421955,\n",
|
||
|
|
" -16.050693232750152+/-0.7999237628946209,\n",
|
||
|
|
" -21.332181012880966+/-0.3412539896993802,\n",
|
||
|
|
" -21.645585403004795+/-0.2412695647296705,\n",
|
||
|
|
" -20.94449072121835+/-0.2474486857025613,\n",
|
||
|
|
" -19.59834765381481+/-0.2815947324480169,\n",
|
||
|
|
" -18.6181339488263+/-0.3176319907249022,\n",
|
||
|
|
" -17.111914437157754+/-0.3330616258719197,\n",
|
||
|
|
" -11.434256417383631+/-0.8171745860770954,\n",
|
||
|
|
"...\n",
|
||
|
|
" -22.15243625669227+/-0.33916984349231327,\n",
|
||
|
|
" -21.318401789505263+/-0.2514613323155388,\n",
|
||
|
|
" -20.51190841371425+/-0.2617233529837117,\n",
|
||
|
|
" -19.1064133799332+/-0.325540430315436,\n",
|
||
|
|
" -18.309206963698685+/-0.3177851075106094,\n",
|
||
|
|
" -17.845102754889066+/-0.34600901125013195,\n",
|
||
|
|
" -1081.2425105598054+/-26980.56364577257,\n",
|
||
|
|
" -14.041761866186437+/-0.49144257071260145,\n",
|
||
|
|
" -64.51972314939233+/-320.12151826282064],\n",
|
||
|
|
" [-19.63397677827146+/-1.071115963987468,\n",
|
||
|
|
" -21.283809546689227+/-0.4088356591455356,\n",
|
||
|
|
" -23.353500079646043+/-0.25044616060384367,\n",
|
||
|
|
" -21.789242703399108+/-0.26016060780255845,\n",
|
||
|
|
" -21.425416853296714+/-0.255434849197033,\n",
|
||
|
|
" -20.256316538529983+/-0.278448302682127,\n",
|
||
|
|
" -18.984888536627896+/-0.3319635812417402,\n",
|
||
|
|
" -17.331389573941557+/-0.33608195940298935,\n",
|
||
|
|
" -3.11102506016784+/-1.2020712150918103,\n",
|
||
|
|
" -12.868632980464644+/-0.6813548880630336,\n",
|
||
|
|
" -11.888930875650207+/-0.6551148896497988]], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be5b2e50-2790-4eab-b8d3-f0697bfcbf1c' class='xr-section-summary-in' type='checkbox' ><label for='section-be5b2e50-2790-4eab-b8d3-f0697bfcbf1c' 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>runs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6ba3fd40-ecb3-48eb-bf81-8f6490ad8288' class='xr-index-data-in' type='checkbox'/><label for='index-6ba3fd40-ecb3-48eb-bf81-8f6490ad8288' 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, 3.0, 4.0], dtype='float64', name='runs'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>truncation_value</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bba0aba8-2789-4ccd-a177-ff1b18b2ed1b' class='xr-index-data-in' type='checkbox'/><label for='index-bba0aba8-2789-4ccd-a177-ff1b18b2ed1b' 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([0.8, 0.83, 0.85, 0.87, 0.89, 0.91, 0.93, 0.95, 0.97, 0.99, 1.0], dtype='float64', name='truncation_value'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-047e1c12-7ebc-4393-a5ed-cf1a1c0c1a9d' class='xr-section-summary-in' type='checkbox' ><label for='section-047e1c12-7ebc-4393-a5ed-cf1a1c0c1a9d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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><dt><span>x_start :</span></dt><dd>810</dd><dt><span>x_end :</span></dt><dd>1110</dd><dt><span>y_end :</span></dt><dd>1025</dd><dt><span>y_start :</span></dt><dd>725</dd><dt><span>x_center :</span></dt><dd>960</dd><dt><span>y_center :</span></dt><dd>875</dd><dt><span>x_span :</span></dt><dd>300</dd><dt><span>y_span :</span></dt><dd>300</dd></dl></div></li></ul></div></div>"
|
||
|
|
],
|
||
|
|
"text/plain": [
|
||
|
|
"<xarray.Dataset>\n",
|
||
|
|
"Dimensions: (runs: 5, truncation_value: 11)\n",
|
||
|
|
"Coordinates:\n",
|
||
|
|
" * runs (runs) float64 0.0 1.0 2.0 3.0 4.0\n",
|
||
|
|
" * truncation_value (truncation_value) float64 0.8 0.83 0.85 ... 0.97 0.99 1.0\n",
|
||
|
|
"Data variables:\n",
|
||
|
|
" A_amplitude (runs, truncation_value) object (9+/-4)e+01 ... 206+/-5\n",
|
||
|
|
" A_centerx (runs, truncation_value) object 147.4+/-1.4 ... 152.82+...\n",
|
||
|
|
" A_centery (runs, truncation_value) object 151.3+/-1.8 ... 150.44+...\n",
|
||
|
|
" A_sigmax (runs, truncation_value) object 15.9+/-2.5 ... 3.96+/-0.06\n",
|
||
|
|
" A_sigmay (runs, truncation_value) object 19.1+/-2.6 ... 10.61+/-...\n",
|
||
|
|
" B_amplitude (runs, truncation_value) object (1.78+/-0.04)e+03 ... 1...\n",
|
||
|
|
" B_centerx (runs, truncation_value) object 149.77+/-0.27 ... 154.1...\n",
|
||
|
|
" B_centery (runs, truncation_value) object 147.45+/-0.31 ... 150.4...\n",
|
||
|
|
" B_sigmax (runs, truncation_value) object 32.5+/-0.5 ... 15.9+/-0.7\n",
|
||
|
|
" B_sigmay (runs, truncation_value) object 33.3+/-0.4 ... 13.8+/-0.5\n",
|
||
|
|
" delta (runs, truncation_value) object -16.7+/-2.2 ... -11.9+/...\n",
|
||
|
|
"Attributes:\n",
|
||
|
|
" IMAGE_SUBCLASS: IMAGE_GRAYSCALE\n",
|
||
|
|
" IMAGE_VERSION: 1.2\n",
|
||
|
|
" IMAGE_WHITE_IS_ZERO: 0\n",
|
||
|
|
" x_start: 810\n",
|
||
|
|
" x_end: 1110\n",
|
||
|
|
" y_end: 1025\n",
|
||
|
|
" y_start: 725\n",
|
||
|
|
" x_center: 960\n",
|
||
|
|
" y_center: 875\n",
|
||
|
|
" x_span: 300\n",
|
||
|
|
" y_span: 300"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 18,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"uval = fitAnalyser.get_fit_full_result(fitResult)\n",
|
||
|
|
"uval"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Plot the fit curve"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"In the most of cases, we need not only to know the fit result, but also plot the fit curve. Here we also provide a function to calculate the fit curve."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 19,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 3400x1500 with 56 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"fitCurve = fitAnalyser.eval(fitResult, x=np.arange(300), y=np.arange(300), dask=\"parallelized\").load()\n",
|
||
|
|
"\n",
|
||
|
|
"fitCurve.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Sometimes, the fit model contains two parts, i.e. the BEC part and the thermal part. People only want to plot one part of the result. In the following, there is an example for that."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 20,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stderr",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"f:\\Jianshun\\analyseScript\\Analyser\\FitAnalyser.py:86: RuntimeWarning: invalid value encountered in power\n",
|
||
|
|
" res = (1- ((x-centerx)/(sigmax))**2 - ((y-centery)/(sigmay))**2)**(3 / 2)\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 3400x1500 with 56 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# Create a fit model for the BEC part with prefix string \n",
|
||
|
|
"# making the name of parameters as same as its in the fit reuslts.\n",
|
||
|
|
"fitModel = ThomasFermi2dModel(prefix='A_')\n",
|
||
|
|
"\n",
|
||
|
|
"fitAnalyser_BEC = FitAnalyser(fitModel, fitDim=2)\n",
|
||
|
|
"fitCurve = fitAnalyser_BEC.eval(fitResult, x=np.arange(300), y=np.arange(300), dask=\"parallelized\").load()\n",
|
||
|
|
"\n",
|
||
|
|
"fitCurve.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Creat a customized fit model"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 21,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"params.add(name=\"a\", value=-inf, max=np.inf, min=-np.inf, vary=True)\n",
|
||
|
|
"params.add(name=\"b\", value=-inf, max=np.inf, min=-np.inf, vary=True)\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"from Analyser.FitAnalyser import NewFitModel\n",
|
||
|
|
"\n",
|
||
|
|
"\n",
|
||
|
|
"def customized_function(x, a, b):\n",
|
||
|
|
" return x * a + b\n",
|
||
|
|
"\n",
|
||
|
|
"customized_fitModel = NewFitModel(customized_function)\n",
|
||
|
|
"\n",
|
||
|
|
"customized_fitAnalyser = FitAnalyser(customized_fitModel, fitDim=1)\n",
|
||
|
|
"\n",
|
||
|
|
"customized_fitAnalyser.print_params_set_template()"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "base",
|
||
|
|
"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": "3.9.12"
|
||
|
|
},
|
||
|
|
"orig_nbformat": 4
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 2
|
||
|
|
}
|