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implemenent analysis for ac
2023-08-01 18:52:06 +02:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import supporting package"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import copy\n",
"import glob\n",
"from datetime import datetime\n",
"\n",
"# The package for data structure\n",
"import xarray as xr\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# The packages for working with uncertainties\n",
"from uncertainties import ufloat\n",
"from uncertainties import unumpy as unp\n",
"from uncertainties import umath\n",
"\n",
"# The package for plotting\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['font.size'] = 18 # Set the global font size\n",
"\n",
"# -------------- The modules written by us --------------\n",
"\n",
"# The packages for read data\n",
"from DataContainer.ReadData import read_hdf5_file, read_hdf5_global, read_hdf5_run_time, read_csv_file\n",
"\n",
"# The packages for data analysis\n",
"from Analyser.ImagingAnalyser import ImageAnalyser\n",
"from Analyser.FitAnalyser import FitAnalyser\n",
"from Analyser.FitAnalyser import ThomasFermi2dModel, DensityProfileBEC2dModel, Polylog22dModel\n",
"from Analyser.FFTAnalyser import fft, ifft, fft_nutou\n",
"from ToolFunction.ToolFunction import *\n",
"\n",
"# Add errorbar plot to xarray package\n",
"from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n",
"xr.plot.dataarray_plot.errorbar = errorbar\n",
"xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start a client for parallel computing"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-f2bef319-3533-11ee-93d0-80e82ce2fa8e</p>\n",
implemenent analysis for ac
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" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <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",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
regular backup
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">6feafb41</p>\n",
implemenent analysis for ac
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-d874d42b-af02-44f9-8b31-e393671fca42</p>\n",
implemenent analysis for ac
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm:</strong> tcp://127.0.0.1:62557\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 60\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 55.88 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62591\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62595/status\" target=\"_blank\">http://127.0.0.1:62595/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62560\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-z88tts4o\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62587\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62588/status\" target=\"_blank\">http://127.0.0.1:62588/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62561\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
regular backup
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-dnlgjo01\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62590\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62593/status\" target=\"_blank\">http://127.0.0.1:62593/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62562\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
regular backup
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-jid5c__l\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62578\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62585/status\" target=\"_blank\">http://127.0.0.1:62585/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62563\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
regular backup
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-g6ne7ypa\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62592\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62596/status\" target=\"_blank\">http://127.0.0.1:62596/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62564\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
regular backup
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-q9ez95ng\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Comm: </strong> tcp://127.0.0.1:62599\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:62600/status\" target=\"_blank\">http://127.0.0.1:62600/status</a>\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
regular backup
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" <strong>Nanny: </strong> tcp://127.0.0.1:62565\n",
implemenent analysis for ac
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
regular backup
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-52yeb577\n",
implemenent analysis for ac
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
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"<Client: 'tcp://127.0.0.1:62557' processes=6 threads=60, memory=55.88 GiB>"
implemenent analysis for ac
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]
},
"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": [
"# Load Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## With 10 Hz Modulation"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
"array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])\n",
"Coordinates:\n",
regular backup
2023-08-07 18:37:50 +02:00
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3d9b8fab-33e7-4742-9d89-f17a9b75d35e' class='xr-array-in' type='checkbox' checked><label for='section-3d9b8fab-33e7-4742-9d89-f17a9b75d35e' 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>0.59 0.648 0.62 0.668 0.638 0.686 ... 0.582 0.544 0.612 0.576 0.638</span></div><div class='xr-array-data'><pre>array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])</pre></div></div></li><li class='xr-section-item'><input id='section-d831cd50-e001-4e67-a945-46e6819ab05c' class='xr-section-summary-in' type='checkbox' checked><label for='section-d831cd50-e001-4e67-a945-46e6819ab05c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-4ea7da9f-9ac8-4e87-bf65-f7b2c1e7c37e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ea7da9f-9ac8-4e87-bf65-f7b2c1e7c37e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cc66621-0f93-4c99-9378-a76ddd5ec51b' class='xr-var-data-in' type='checkbox'><label for='data-9cc66621-0f93-4c99-9378-a76ddd5ec51b' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc6402cb-311b-4051-ae36-9ffadb3b61c0' class='xr-section-summary-in' type='checkbox' ><label for='section-fc6402cb-311b-4051-ae36-9ffadb3b61c0' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-66ac611d-5c7d-457a-869f-a193fc0be7cb' class='xr-index-data-in' type='checkbox'/><label for='index-66ac611d-5c7d-457a-869f-a193fc0be7cb' 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, 0.002, 0.004,\n",
implemenent analysis for ac
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" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
" ...\n",
" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
regular backup
2023-08-07 18:37:50 +02:00
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d6ab24f-78cf-4c34-afcb-c0e2a68a3b47' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d6ab24f-78cf-4c34-afcb-c0e2a68a3b47' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
],
"text/plain": [
"<xarray.DataArray 'CH1' (x: 1200)>\n",
"array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])\n",
"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
]
},
"execution_count": 3,
"metadata": {},
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}
],
"source": [
"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\withModulation.csv'\n",
"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
"dataWithModulation = xr.DataArray(\n",
" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.X[0,:].to_numpy() * 2e-3\n",
" )\n",
")\n",
"dataWithModulation"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataWithModulation.plot.errorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
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"source": [
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"dataWithModulation = dataWithModulation - dataWithModulation.mean()"
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]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"dataWithModulation.plot.errorbar(ax=ax)\n",
"# ax.set_xlim([0.5, 1])\n",
"# ax.set_ylim([0, 0.25])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"dataWithModulationFFT = fft(dataWithModulation)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(dataWithModulationFFT).plot.errorbar(ax=ax, x='freq_x')\n",
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"# ax.set_xlim([0.5, 1])\n",
"# ax.set_ylim([0, 0.25])\n",
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"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Without Modulation"
]
},
{
"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
"outputs": [
{
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".xr-sections {\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-65679b30-5eaa-4ff9-89cf-4715fd8d6c7a' class='xr-array-in' type='checkbox' checked><label for='section-65679b30-5eaa-4ff9-89cf-4715fd8d6c7a' 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>0.59 0.74 0.75 0.576 0.732 0.572 ... 0.746 0.582 0.744 0.738 0.586</span></div><div class='xr-array-data'><pre>array([0.59 , 0.74 , 0.75 , ..., 0.744, 0.738, 0.586])</pre></div></div></li><li class='xr-section-item'><input id='section-a1bba0ba-f579-40b0-8093-c842e7b8d880' class='xr-section-summary-in' type='checkbox' checked><label for='section-a1bba0ba-f579-40b0-8093-c842e7b8d880' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-aa45aff3-be45-4059-83ea-5bd56f52a536' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa45aff3-be45-4059-83ea-5bd56f52a536' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a97847ea-34db-47e0-b996-5f5211691cc7' class='xr-var-data-in' type='checkbox'><label for='data-a97847ea-34db-47e0-b996-5f5211691cc7' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbe21854-f811-459a-a2d5-ae5c51125ab8' class='xr-section-summary-in' type='checkbox' ><label for='section-dbe21854-f811-459a-a2d5-ae5c51125ab8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6546220e-51f0-4d35-97ee-f550fac4cb28' class='xr-index-data-in' type='checkbox'/><label for='index-6546220e-51f0-4d35-97ee-f550fac4cb28' 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, 0.002, 0.004,\n",
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" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
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" ...\n",
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" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2fb5382-c7a6-4e5a-85fb-639cd98052a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2fb5382-c7a6-4e5a-85fb-639cd98052a4' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
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"<xarray.DataArray 'CH1' (x: 1200)>\n",
"array([0.59 , 0.74 , 0.75 , ..., 0.744, 0.738, 0.586])\n",
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
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]
},
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"execution_count": 9,
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"metadata": {},
"output_type": "execute_result"
}
],
implemenent analysis for ac
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"source": [
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"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\withoutModulation.csv'\n",
"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
"dataWithoutModulation = xr.DataArray(\n",
" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.X[0,:].to_numpy() * 2e-3\n",
" )\n",
")\n",
"dataWithoutModulation"
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]
},
{
"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataWithoutModulation.plot.errorbar(fmt='o-')\n",
"plt.xlim([0, 0.15])\n",
"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"dataWithoutModulation = dataWithoutModulation - dataWithoutModulation.mean()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"dataWithoutModulation.plot.errorbar(ax=ax)\n",
"# ax.set_xlim([0.5, 1])\n",
"# ax.set_ylim([0, 0.25])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"dataWithModulationFFT = fft(dataWithModulation)"
]
},
{
"cell_type": "code",
"execution_count": 14,
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"metadata": {},
"outputs": [],
"source": [
"dataWithoutModulationFFT = fft(dataWithoutModulation)"
]
},
{
"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
"outputs": [
{
"data": {
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implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"abs(dataWithoutModulationFFT).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([0.5, 250])\n",
"ax.set_ylim([0, 0.05])\n",
implemenent analysis for ac
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"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Dark"
implemenent analysis for ac
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]
},
{
"cell_type": "code",
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"execution_count": 16,
implemenent analysis for ac
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"metadata": {},
"outputs": [
{
"data": {
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"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
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"array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])\n",
implemenent analysis for ac
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a50e155f-54b3-4d46-84cc-f7448f5df969' class='xr-array-in' type='checkbox' checked><label for='section-a50e155f-54b3-4d46-84cc-f7448f5df969' 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>-0.0376 -0.0336 -0.0328 -0.0374 ... -0.038 -0.0328 -0.0336 -0.0388</span></div><div class='xr-array-data'><pre>array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])</pre></div></div></li><li class='xr-section-item'><input id='section-f8b92283-d7f4-4964-a2fd-32ab92f5418c' class='xr-section-summary-in' type='checkbox' checked><label for='section-f8b92283-d7f4-4964-a2fd-32ab92f5418c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-d7c0c185-49ed-4015-92b8-2d517b52d676' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7c0c185-49ed-4015-92b8-2d517b52d676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d8ba920-afa3-4ca4-9a06-1a2e970bfa5b' class='xr-var-data-in' type='checkbox'><label for='data-9d8ba920-afa3-4ca4-9a06-1a2e970bfa5b' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b26487b-960f-419d-bfcf-b0d20b84bf91' class='xr-section-summary-in' type='checkbox' ><label for='section-4b26487b-960f-419d-bfcf-b0d20b84bf91' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4333720f-1d9a-4942-a55b-c46bdaa92ab6' class='xr-index-data-in' type='checkbox'/><label for='index-4333720f-1d9a-4942-a55b-c46bdaa92ab6' 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, 0.002, 0.004,\n",
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" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
" ...\n",
" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3901bc48-674e-4f94-a591-7ee2dbb7e636' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3901bc48-674e-4f94-a591-7ee2dbb7e636' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
"<xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])\n",
implemenent analysis for ac
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"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
]
},
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"execution_count": 16,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\dark.csv'\n",
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"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
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"dataDark = xr.DataArray(\n",
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" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.X[0,:].to_numpy() * 2e-3\n",
" )\n",
")\n",
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"dataDark"
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]
},
{
"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"dataDark.plot.errorbar()\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"dataDark = dataDark - dataDark.mean()"
]
},
{
"cell_type": "code",
"execution_count": 19,
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"metadata": {},
"outputs": [],
"source": [
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"dataDarkFFT = fft(dataDark)"
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]
},
{
"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
"outputs": [
{
"data": {
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implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"abs(dataDarkFFT).plot.errorbar(ax=ax, x='freq_x')\n",
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"ax.set_xlim([0.5, 250])\n",
"ax.set_ylim([0, 0.05])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Only One Beam"
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]
},
{
"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
"outputs": [
{
"data": {
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" /* 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",
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" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
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"array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])\n",
implemenent analysis for ac
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b7e78c7c-7134-42a6-824b-0b53f19ef2e5' class='xr-array-in' type='checkbox' checked><label for='section-b7e78c7c-7134-42a6-824b-0b53f19ef2e5' 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>0.229 0.242 0.241 0.227 0.242 0.227 ... 0.237 0.237 0.225 0.225 0.235</span></div><div class='xr-array-data'><pre>array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])</pre></div></div></li><li class='xr-section-item'><input id='section-29d4fd3a-d80c-4f9b-8f5d-691555f92266' class='xr-section-summary-in' type='checkbox' checked><label for='section-29d4fd3a-d80c-4f9b-8f5d-691555f92266' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-3758bcb0-96ee-4102-bc8a-ee79c06b8f6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3758bcb0-96ee-4102-bc8a-ee79c06b8f6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9a571ca-d791-4c7c-a423-3ffc606f3fbc' class='xr-var-data-in' type='checkbox'><label for='data-f9a571ca-d791-4c7c-a423-3ffc606f3fbc' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78831768-94ae-40a1-a66e-7e9b555e379c' class='xr-section-summary-in' type='checkbox' ><label for='section-78831768-94ae-40a1-a66e-7e9b555e379c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-93558b68-c74f-476f-a4e4-22959b390fc9' class='xr-index-data-in' type='checkbox'/><label for='index-93558b68-c74f-476f-a4e4-22959b390fc9' 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, 0.002, 0.004,\n",
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" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
" ...\n",
" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fbe5da7b-c284-457c-adae-1b70667478a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fbe5da7b-c284-457c-adae-1b70667478a7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
"<xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])\n",
implemenent analysis for ac
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"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
]
},
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"execution_count": 21,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\onlyOneBeam.csv'\n",
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"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
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"dataOnlyOneBeam = xr.DataArray(\n",
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" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.X[0,:].to_numpy() * 2e-3\n",
" )\n",
")\n",
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"dataOnlyOneBeam"
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]
},
{
"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"dataOnlyOneBeam.plot.errorbar()\n",
implemenent analysis for ac
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"plt.show()"
]
},
{
"cell_type": "code",
regular backup
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"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"dataOnlyOneBeam = dataOnlyOneBeam - dataOnlyOneBeam.mean()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataOnlyOneBeam.plot.errorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"metadata": {},
"outputs": [],
"source": [
regular backup
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"dataOnlyOneBeamFFT = fft(dataOnlyOneBeam)"
implemenent analysis for ac
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]
},
{
"cell_type": "code",
regular backup
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"execution_count": 25,
implemenent analysis for ac
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"metadata": {},
"outputs": [
{
"data": {
regular backup
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"image/png": "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
implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"abs(dataOnlyOneBeamFFT).plot.errorbar(ax=ax, x='freq_x')\n",
implemenent analysis for ac
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"ax.set_xlim([0.5, 250])\n",
"ax.set_ylim([0, 0.05])\n",
"plt.show()"
]
},
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{
"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(dataOnlyOneBeamFFT).plot.errorbar(ax=ax, x='freq_x', fmt='r')\n",
"abs(dataWithoutModulationFFT).plot.errorbar(ax=ax, x='freq_x', fmt='b')\n",
"\n",
"ax.set_xlim([0.5, 250])\n",
"ax.set_ylim([0, 0.02])\n",
"plt.show()"
]
},
implemenent analysis for ac
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{
"cell_type": "markdown",
"metadata": {},
"source": [
regular backup
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"## Without Modulation # 2"
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
]
},
{
"cell_type": "code",
regular backup
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"execution_count": 27,
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"metadata": {},
"outputs": [
{
"data": {
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".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
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"array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])\n",
implemenent analysis for ac
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"Coordinates:\n",
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" * x (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2eac37f6-45e8-4b9b-b071-de4d23748327' class='xr-array-in' type='checkbox' checked><label for='section-2eac37f6-45e8-4b9b-b071-de4d23748327' 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>0.49 0.53 0.533 0.491 0.531 0.494 ... 0.506 0.47 0.522 0.498 0.454</span></div><div class='xr-array-data'><pre>array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])</pre></div></div></li><li class='xr-section-item'><input id='section-bafcc823-32fc-4b66-a0be-415973ff983e' class='xr-section-summary-in' type='checkbox' checked><label for='section-bafcc823-32fc-4b66-a0be-415973ff983e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-524aeb8b-5119-4d6b-86ab-4df0403179f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-524aeb8b-5119-4d6b-86ab-4df0403179f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32bfc995-c1a9-4df2-b8a1-12ed02736afd' class='xr-var-data-in' type='checkbox'><label for='data-32bfc995-c1a9-4df2-b8a1-12ed02736afd' 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([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-760ccdad-011a-453e-852b-f16468d1d9bd' class='xr-section-summary-in' type='checkbox' ><label for='section-760ccdad-011a-453e-852b-f16468d1d9bd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8acc7d0-2f36-4da7-9855-d81ca29b5558' class='xr-index-data-in' type='checkbox'/><label for='index-a8acc7d0-2f36-4da7-9855-d81ca29b5558' 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, 1e-05,\n",
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" 2e-05, 3.0000000000000004e-05,\n",
" 4e-05, 5e-05,\n",
" 6.000000000000001e-05, 7.000000000000001e-05,\n",
" 8e-05, 9e-05,\n",
implemenent analysis for ac
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" ...\n",
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" 0.0119, 0.01191,\n",
" 0.011920000000000002, 0.011930000000000001,\n",
" 0.011940000000000001, 0.01195,\n",
" 0.01196, 0.011970000000000001,\n",
" 0.011980000000000001, 0.01199],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7ab66d7-d847-4bd2-9bca-641fad4acbfb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7ab66d7-d847-4bd2-9bca-641fad4acbfb' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
"<xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])\n",
implemenent analysis for ac
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"Coordinates:\n",
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" * x (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199"
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]
},
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"execution_count": 27,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\withoutModulation_2.csv'\n",
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"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
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"dataWithoutModulation2 = xr.DataArray(\n",
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" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
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" x=data.X[0,:].to_numpy() * 1e-05\n",
implemenent analysis for ac
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" )\n",
")\n",
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"dataWithoutModulation2"
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]
},
{
"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"dataWithoutModulation2.plot.errorbar(fmt='o')\n",
"# plt.xlim([0, 0.0075])\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"dataWithoutModulation2 = dataWithoutModulation2 - dataWithoutModulation2.mean()"
]
},
{
"cell_type": "code",
"execution_count": 30,
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"metadata": {},
"outputs": [],
"source": [
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"dataWithoutModulationFFT2 = fft(dataWithoutModulation2)"
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]
},
{
"cell_type": "code",
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"execution_count": 31,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"abs(dataWithoutModulationFFT2).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([1, 40000])\n",
"ax.set_ylim([0, 0.00005])\n",
implemenent analysis for ac
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"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Only One Beam # 2"
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]
},
{
"cell_type": "code",
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"execution_count": 32,
implemenent analysis for ac
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"metadata": {},
"outputs": [
{
"data": {
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" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
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"array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])\n",
implemenent analysis for ac
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"Coordinates:\n",
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" * x (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</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'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a7a0b230-0379-4f74-a464-a3fc5c3e347e' class='xr-array-in' type='checkbox' checked><label for='section-a7a0b230-0379-4f74-a464-a3fc5c3e347e' 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>0.215 0.197 0.195 0.214 0.218 0.194 ... 0.214 0.218 0.194 0.218 0.198</span></div><div class='xr-array-data'><pre>array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])</pre></div></div></li><li class='xr-section-item'><input id='section-0602ccf9-903e-4368-bc85-d089b2719e12' class='xr-section-summary-in' type='checkbox' checked><label for='section-0602ccf9-903e-4368-bc85-d089b2719e12' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-1a981a2e-a56c-42a1-9ac1-63ae1cf4e068' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a981a2e-a56c-42a1-9ac1-63ae1cf4e068' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-988b4bde-e74a-45ff-a356-1f4653df312e' class='xr-var-data-in' type='checkbox'><label for='data-988b4bde-e74a-45ff-a356-1f4653df312e' 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([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f136a99c-5f01-46fc-991f-dcc0674540b9' class='xr-section-summary-in' type='checkbox' ><label for='section-f136a99c-5f01-46fc-991f-dcc0674540b9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-911abc08-a315-446d-9789-794c48cb5b1f' class='xr-index-data-in' type='checkbox'/><label for='index-911abc08-a315-446d-9789-794c48cb5b1f' 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, 1e-05,\n",
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" 2e-05, 3.0000000000000004e-05,\n",
" 4e-05, 5e-05,\n",
" 6.000000000000001e-05, 7.000000000000001e-05,\n",
" 8e-05, 9e-05,\n",
" ...\n",
" 0.0119, 0.01191,\n",
" 0.011920000000000002, 0.011930000000000001,\n",
" 0.011940000000000001, 0.01195,\n",
" 0.01196, 0.011970000000000001,\n",
" 0.011980000000000001, 0.01199],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6ce165b-ceec-4e2d-8287-814dbc8264f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6ce165b-ceec-4e2d-8287-814dbc8264f2' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
"<xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])\n",
implemenent analysis for ac
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"Coordinates:\n",
" * x (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199"
]
},
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"execution_count": 32,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"filePath = r'F:\\Jianshun\\AccordionLatticeShorTermStability\\onlyOneBeam_2.csv'\n",
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"\n",
"data = read_csv_file(filePath, csvEngine='pandas', csvKwargs=dict(header=[0], skiprows=[1], encoding = \"ISO-8859-1\",))\n",
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"dataOnlyOneBeam2 = xr.DataArray(\n",
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" data=data.CH1[0,:],\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.X[0,:].to_numpy() * 1e-05\n",
" )\n",
")\n",
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"dataOnlyOneBeam2"
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]
},
{
"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
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"dataOnlyOneBeam2.plot.errorbar()\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"dataOnlyOneBeam2 = dataOnlyOneBeam2 - dataOnlyOneBeam2.mean()"
]
},
{
"cell_type": "code",
"execution_count": 35,
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"metadata": {},
"outputs": [],
"source": [
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"dataOnlyOneBeamFFT2 = fft(dataOnlyOneBeam2)"
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]
},
{
"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"abs(dataOnlyOneBeamFFT2).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([1, 40000])\n",
"ax.set_ylim([0, 0.00005])\n",
"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 37,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(dataOnlyOneBeamFFT2).plot.errorbar(ax=ax, x='freq_x', fmt='r')\n",
"abs(dataWithoutModulationFFT2).plot.errorbar(ax=ax, x='freq_x', fmt='b')\n",
"\n",
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"ax.set_xlim([1, 40000])\n",
"ax.set_ylim([0, 0.00005])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"# Data analyse"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Transform intensity to phase"
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]
},
{
"cell_type": "code",
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"execution_count": 38,
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"metadata": {},
"outputs": [],
"source": [
"from Analyser.FitAnalyser import NewFitModel"
]
},
{
"cell_type": "code",
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"execution_count": 39,
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"metadata": {},
"outputs": [],
"source": [
"def sine_with_offset(x, amplitude=1.0, frequency=1.0, shift=0.0, offset=0.0):\n",
" \"\"\"Return a sinusoidal function.\n",
"\n",
" sine(x, amplitude, frequency, shift) =\n",
" amplitude * sin(x*frequency + shift)\n",
"\n",
" \"\"\"\n",
" return amplitude*np.sin(x*frequency + shift) + offset"
]
},
{
"cell_type": "code",
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"execution_count": 40,
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"metadata": {},
"outputs": [],
"source": [
"fitModel = NewFitModel(sine_with_offset)\n",
"fitAnalyser = FitAnalyser(fitModel, fitDim=1)"
]
},
{
"cell_type": "code",
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"execution_count": 41,
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"metadata": {},
"outputs": [],
"source": [
"params = fitAnalyser.fitModel.make_params()\n",
"params.add(name=\"amplitude\", value= 0.1, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"frequency\", value= 63, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"shift\", value= 0.11, max=np.inf, min=-np.inf, vary=True)\n",
"params.add(name=\"offset\", value= 0.6, max=np.inf, min=-np.inf, vary=True)"
]
},
{
"cell_type": "code",
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"execution_count": 42,
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"metadata": {},
"outputs": [],
"source": [
"# param = fitAnalyser.guess(dataWithModulation)\n",
"fitResult = fitAnalyser.fit(dataWithModulation, params)\n",
"fitCurve = fitAnalyser.eval(fitResult, x=dataWithModulation.x)"
]
},
{
"cell_type": "code",
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"execution_count": 43,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"dataWithModulation.plot.errorbar(ax=ax)\n",
"fitCurve.plot.errorbar(ax=ax)\n",
"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 44,
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"metadata": {},
"outputs": [
{
"data": {
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: ()\n",
"Data variables:\n",
" amplitude float64 0.09749\n",
" frequency float64 62.83\n",
" shift float64 0.162\n",
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" offset float64 -5.246e-07</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-f3c1a267-ba98-4ae8-843d-ada6023f2ab3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f3c1a267-ba98-4ae8-843d-ada6023f2ab3' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-51aca2a7-52be-44c2-9677-ed6ed0b5a184' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51aca2a7-52be-44c2-9677-ed6ed0b5a184' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9cb03ce1-4f97-418f-a5ca-164e3fa46bef' class='xr-section-summary-in' type='checkbox' checked><label for='section-9cb03ce1-4f97-418f-a5ca-164e3fa46bef' 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>amplitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.09749</div><input id='attrs-92e9e314-c94e-4bca-b282-675db789cb13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92e9e314-c94e-4bca-b282-675db789cb13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e48f35e-ac9b-4e8e-8933-e721ade1f14d' class='xr-var-data-in' type='checkbox'><label for='data-7e48f35e-ac9b-4e8e-8933-e721ade1f14d' 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(0.09749395)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>62.83</div><input id='attrs-86e9a2c0-f534-47c4-bcff-7afecb25bfb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86e9a2c0-f534-47c4-bcff-7afecb25bfb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf381a99-293d-4396-9dc7-ac2e9731d14c' class='xr-var-data-in' type='checkbox'><label for='data-bf381a99-293d-4396-9dc7-ac2e9731d14c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(62.83446818)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shift</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.162</div><input id='attrs-260cfbfc-5fcb-4d36-84ab-104198c7a1e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-260cfbfc-5fcb-4d36-84ab-104198c7a1e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b177d131-c41f-436b-889a-12bbe265d096' class='xr-var-data-in' type='checkbox'><label for='data-b177d131-c41f-436b-889a-12bbe265d096' 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(0.16204272)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-
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],
"text/plain": [
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"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" amplitude float64 0.09749\n",
" frequency float64 62.83\n",
" shift float64 0.162\n",
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" offset float64 -5.246e-07"
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]
},
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"execution_count": 44,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"val = fitAnalyser.get_fit_value(fitResult)\n",
"val"
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]
},
{
"cell_type": "code",
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"execution_count": 45,
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"metadata": {},
"outputs": [],
"source": [
"def voltage_to_phase(voltage):\n",
" voltage = (voltage - val.offset)\n",
" # voltage = xr.where(voltage > val.amplitude, voltage % val.amplitude, voltage % val.amplitude - val.amplitude)\n",
" voltage = voltage / val.amplitude\n",
" voltage_frac, b= np.modf(voltage.to_numpy())\n",
" voltage = xr.where(np.abs(voltage) > 1, np.arcsin(voltage_frac) + np.trunc(voltage) * np.pi, np.arcsin(voltage))\n",
" return voltage"
]
},
{
"cell_type": "code",
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"execution_count": 89,
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"metadata": {},
"outputs": [
{
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"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\data\\AppData\\Roaming\\Python\\Python39\\site-packages\\xarray\\core\\computation.py:760: RuntimeWarning: invalid value encountered in arcsin\n",
" result_data = func(*input_data)\n"
]
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}
],
"source": [
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"phaseWithoutModulation = voltage_to_phase(dataWithoutModulation)"
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]
},
{
"cell_type": "code",
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"execution_count": 126,
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"metadata": {},
"outputs": [
{
"data": {
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regular backup
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"(phaseWithoutModulation/np.pi).plot.errorbar(ax=ax, fmt='o')\n",
"\n",
"# ax.set_xlim([0, 0.1])\n",
"plt.show()"
]
},
{
"cell_type": "code",
regular backup
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"execution_count": 91,
regular backup
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"metadata": {},
"outputs": [],
"source": [
"def autocorr(x):\n",
" result = np.correlate(x, x, mode='full')\n",
" return result[len(result)//2:]"
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
]
},
{
"cell_type": "code",
regular backup
2023-08-07 18:37:50 +02:00
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def get_noise_spectrum(data):\n",
" dataAutoCorr = autocorr(data)\n",
" dataAutoCorr = xr.DataArray(\n",
" data=dataAutoCorr,\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=data.x\n",
" )\n",
" )\n",
" \n",
" dataNoiseSpec = fft(dataAutoCorr)\n",
" \n",
" return dataNoiseSpec\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [],
"source": [
"phaseWithoutModulation = phaseWithoutModulation - phaseWithoutModulation.mean()"
]
},
{
"cell_type": "code",
"execution_count": 93,
implemenent analysis for ac
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"metadata": {},
"outputs": [],
"source": [
regular backup
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"phaseAutoCorrWithoutModulation = autocorr((phaseWithoutModulation/np.pi))\n",
"phaseAutoCorrWithoutModulation = xr.DataArray(\n",
" data=phaseAutoCorrWithoutModulation,\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=phaseWithoutModulation.x\n",
" )\n",
")"
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
]
},
{
"cell_type": "code",
regular backup
2023-08-07 18:37:50 +02:00
"execution_count": 94,
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"metadata": {},
"outputs": [
{
"data": {
regular backup
2023-08-07 14:43:56 +02:00
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" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (x: 1200)&gt;\n",
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"array([ 1.92834649e+02, -7.04156659e+01, 2.53150014e+00, ...,\n",
" -1.15671835e-01, -1.59932171e-01, 9.16532266e-02])\n",
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-53c26ede-f108-4e2e-a9f9-ba989040b27b' class='xr-array-in' type='checkbox' checked><label for='section-53c26ede-f108-4e2e-a9f9-ba989040b27b' 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>192.8 -70.42 2.532 4.986 15.84 ... 0.3829 -0.1157 -0.1599 0.09165</span></div><div class='xr-array-data'><pre>array([ 1.92834649e+02, -7.04156659e+01, 2.53150014e+00, ...,\n",
" -1.15671835e-01, -1.59932171e-01, 9.16532266e-02])</pre></div></div></li><li class='xr-section-item'><input id='section-120abb18-cf75-461d-9d28-89a366fcc21f' class='xr-section-summary-in' type='checkbox' checked><label for='section-120abb18-cf75-461d-9d28-89a366fcc21f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-fa777fe7-01da-46ba-87a5-8752bebdf97e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa777fe7-01da-46ba-87a5-8752bebdf97e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98bb3468-05e8-4b68-90e7-6144a67079fc' class='xr-var-data-in' type='checkbox'><label for='data-98bb3468-05e8-4b68-90e7-6144a67079fc' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68a9c07f-0859-4d2c-9e2b-696458ab8d89' class='xr-section-summary-in' type='checkbox' ><label for='section-68a9c07f-0859-4d2c-9e2b-696458ab8d89' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ba65b85a-12ac-4658-b1c6-136ea642a64b' class='xr-index-data-in' type='checkbox'/><label for='index-ba65b85a-12ac-4658-b1c6-136ea642a64b' 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, 0.002, 0.004,\n",
" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
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" ...\n",
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" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25f4e50b-dc59-4bca-81d3-9079b245eb13' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25f4e50b-dc59-4bca-81d3-9079b245eb13' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
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"text/plain": [
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"<xarray.DataArray (x: 1200)>\n",
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"array([ 1.92834649e+02, -7.04156659e+01, 2.53150014e+00, ...,\n",
" -1.15671835e-01, -1.59932171e-01, 9.16532266e-02])\n",
regular backup
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"Coordinates:\n",
regular backup
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
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]
},
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"execution_count": 94,
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"metadata": {},
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"output_type": "execute_result"
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}
],
"source": [
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"phaseAutoCorrWithoutModulation"
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]
},
{
"cell_type": "code",
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"execution_count": 95,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "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
implemenent analysis for ac
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
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"phaseAutoCorrWithoutModulation.plot.errorbar(ax=ax)\n",
implemenent analysis for ac
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 96,
implemenent analysis for ac
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"metadata": {},
"outputs": [
{
"data": {
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"\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",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;x&#x27; (x: 1200)&gt;\n",
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"array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])\n",
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'x'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4450e2ea-1980-4c10-8aba-aa4892e7c8f0' class='xr-array-in' type='checkbox' checked><label for='section-4450e2ea-1980-4c10-8aba-aa4892e7c8f0' 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>0.0 0.002 0.004 0.006 0.008 0.01 ... 2.39 2.392 2.394 2.396 2.398</span></div><div class='xr-array-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></div></li><li class='xr-section-item'><input id='section-5984cf45-0576-4743-b4e4-f711fdcea2b0' class='xr-section-summary-in' type='checkbox' checked><label for='section-5984cf45-0576-4743-b4e4-f711fdcea2b0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-bd5e1a55-bad7-4a80-a2c8-bcf7cce2c5cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd5e1a55-bad7-4a80-a2c8-bcf7cce2c5cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38cbcdd8-69df-4ec5-9cb9-2f608380f252' class='xr-var-data-in' type='checkbox'><label for='data-38cbcdd8-69df-4ec5-9cb9-2f608380f252' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93ef5d77-98f4-4385-a0e9-e3eecdaa0098' class='xr-section-summary-in' type='checkbox' ><label for='section-93ef5d77-98f4-4385-a0e9-e3eecdaa0098' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a4a96a5-89b8-42c7-96af-4d6221b753a6' class='xr-index-data-in' type='checkbox'/><label for='index-8a4a96a5-89b8-42c7-96af-4d6221b753a6' 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, 0.002, 0.004,\n",
" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
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" ...\n",
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" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3485ed86-61a3-4f83-a633-7a5df6c82585' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3485ed86-61a3-4f83-a633-7a5df6c82585' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
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"<xarray.DataArray 'x' (x: 1200)>\n",
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"array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])\n",
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"Coordinates:\n",
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" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
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]
},
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"execution_count": 96,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"phaseAutoCorrWithoutModulation.x"
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]
},
{
"cell_type": "code",
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"execution_count": 97,
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"metadata": {},
"outputs": [],
"source": [
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"powerSpecWithoutModulation = fft(phaseAutoCorrWithoutModulation)"
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]
},
{
"cell_type": "code",
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"execution_count": 98,
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"metadata": {},
"outputs": [
{
"data": {
regular backup
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implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
regular backup
2023-08-07 14:43:56 +02:00
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(powerSpecWithoutModulation).plot.errorbar(ax=ax, x='freq_x')\n",
regular backup
2023-08-07 18:37:50 +02:00
"# ax.set_xlim([0, 250])\n",
"# ax.set_ylim([0, 0.001])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"phaseAutoCorrWithoutModulation = autocorr((dataWithoutModulation))\n",
"phaseAutoCorrWithoutModulation = xr.DataArray(\n",
" data=phaseAutoCorrWithoutModulation,\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=phaseWithoutModulation.x\n",
" )\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
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" -7.66522583e-03, -1.13568061e-02, 6.45748028e-03])\n",
"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3e184d0c-70d0-4d25-a9a9-e517ac8f0266' class='xr-array-in' type='checkbox' checked><label for='section-3e184d0c-70d0-4d25-a9a9-e517ac8f0266' 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>8.133 -3.875 -0.1526 -0.002831 ... 0.02548 -0.007665 -0.01136 0.006457</span></div><div class='xr-array-data'><pre>array([ 8.13258367e+00, -3.87534581e+00, -1.52647527e-01, ...,\n",
" -7.66522583e-03, -1.13568061e-02, 6.45748028e-03])</pre></div></div></li><li class='xr-section-item'><input id='section-c253dbde-089a-4265-be30-c13ff8f09c05' class='xr-section-summary-in' type='checkbox' checked><label for='section-c253dbde-089a-4265-be30-c13ff8f09c05' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-b11e19e2-20d9-49b5-b463-033a06457bd3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b11e19e2-20d9-49b5-b463-033a06457bd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7391b73e-189d-4237-9764-71a498a530d6' class='xr-var-data-in' type='checkbox'><label for='data-7391b73e-189d-4237-9764-71a498a530d6' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-56454e00-a907-4338-a43d-e70e91fd156d' class='xr-section-summary-in' type='checkbox' ><label for='section-56454e00-a907-4338-a43d-e70e91fd156d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-749c9cd2-7498-4aae-b7f4-c7548e9587df' class='xr-index-data-in' type='checkbox'/><label for='index-749c9cd2-7498-4aae-b7f4-c7548e9587df' 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, 0.002, 0.004,\n",
" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
" ...\n",
" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc26d3df-7d34-4264-9ae5-5fb9685e3c65' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc26d3df-7d34-4264-9ae5-5fb9685e3c65' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray (x: 1200)>\n",
"array([ 8.13258367e+00, -3.87534581e+00, -1.52647527e-01, ...,\n",
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"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"phaseAutoCorrWithoutModulation"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
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"<Figure size 640x480 with 1 Axes>"
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],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"phaseAutoCorrWithoutModulation.plot.errorbar(ax=ax)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
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"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;x&#x27; (x: 1200)&gt;\n",
"array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])\n",
"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</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'>'x'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f71cffa9-a979-4a68-b116-1f5d0e97322a' class='xr-array-in' type='checkbox' checked><label for='section-f71cffa9-a979-4a68-b116-1f5d0e97322a' 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>0.0 0.002 0.004 0.006 0.008 0.01 ... 2.39 2.392 2.394 2.396 2.398</span></div><div class='xr-array-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></div></li><li class='xr-section-item'><input id='section-9cd5dede-9b7c-4250-ba5d-cd0209fd7514' class='xr-section-summary-in' type='checkbox' checked><label for='section-9cd5dede-9b7c-4250-ba5d-cd0209fd7514' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-3ddcac3e-1f37-41b2-b589-922a12846c36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ddcac3e-1f37-41b2-b589-922a12846c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72fcace2-59a7-4f72-9dc2-b8672b203fa8' class='xr-var-data-in' type='checkbox'><label for='data-72fcace2-59a7-4f72-9dc2-b8672b203fa8' 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([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8f2ca9e-9cfd-4b1e-9b99-cb31813a1b56' class='xr-section-summary-in' type='checkbox' ><label for='section-c8f2ca9e-9cfd-4b1e-9b99-cb31813a1b56' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-76230481-844a-42d3-a5dc-7bb87e7e1bb7' class='xr-index-data-in' type='checkbox'/><label for='index-76230481-844a-42d3-a5dc-7bb87e7e1bb7' 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, 0.002, 0.004,\n",
" 0.006, 0.008, 0.01,\n",
" 0.012, 0.014, 0.016,\n",
" 0.018000000000000002,\n",
" ...\n",
" 2.38, 2.382, 2.384,\n",
" 2.386, 2.388, 2.39,\n",
" 2.392, 2.394, 2.396,\n",
" 2.398],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03ea0763-d981-42ab-91b1-bbdadaa6adf7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03ea0763-d981-42ab-91b1-bbdadaa6adf7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'x' (x: 1200)>\n",
"array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])\n",
"Coordinates:\n",
" * x (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"phaseAutoCorrWithoutModulation.x"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"powerSpecWithoutModulation = fft(phaseAutoCorrWithoutModulation)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAl0AAAHLCAYAAADyVS3oAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC3uUlEQVR4nO2deZgU1fX3v909PT37sMomm8oqqAioCCgogkZNTIxxjWvUGKOJcfnFJCIkRqMi5k1c4o4aIgY1iRuIElxAUUAiqyDLALIzwKzMTC/1/tFT1fdW3Vt1q3qZmuF8noeHnq6qW7eWrvutc849J6BpmgaCIAiCIAgiqwRbugMEQRAEQRCHAyS6CIIgCIIgcgCJLoIgCIIgiBxAoosgCIIgCCIHkOgiCIIgCILIASS6CIIgCIIgcgCJLoIgCIIgiBxAoosgCIIgCCIHkOgiCIIgCILIASS6CIIgCIIgckBaoqumpgZTpkzB0KFDUVJSgvLycowcORKPPPIImpqaPLV58OBB/Oc//8HkyZNx3nnnoVu3bggEAggEApgxY4ZyOxs3bsSNN96Ivn37oqCgAEcccQQmTZqE119/3VO/CIIgCIIg0iHgtfbili1bMG7cOFRUVAAAioqKEI/H0djYCAAYNmwY5s+fj/bt27tqd8aMGbjmmmuEy1544QVcffXVjm28++67uOiii1BfXw8AKCsrQ21tLRKJBADgmmuuwXPPPYdAIOCqbwRBEARBEF7xZOmKx+M4//zzUVFRgW7duuH9999HXV0d6uvrMWvWLJSWlmL58uW4/PLLPXWqa9euOOecc/Db3/7WtWVq8+bN+NGPfoT6+nqMHj0a69atQ1VVFaqqqjB58mQASfH28MMPe+obQRAEQRCEFzxZup577jn85Cc/AQB8+umnGDVqFLf8lVdewWWXXQYA+OCDD3DmmWcqtx2LxZCXl8d3stkipWLp+vGPf4y///3v6Nq1K9auXYt27dpxy2+88UY8/fTTKCsrQ0VFhbIlLpFIYMeOHSgtLSULGUEQBEG0EjRNQ01NDbp3745gsIVD2TUPjB07VgOgjR8/Xrg8kUhoffv21QBoV155pZddcADQAGgvvPCC7Xq1tbVaYWGhBkCbOnWqcJ3Nmzcb7T3//PPKfdi2bZuxHf2jf/SP/tE/+kf/Wte/bdu2uZEeWYE3KSlQX1+PRYsWAQDOOecc4TqBQABnn302nnzyScybN8/tLjyzcOFCHDp0yLZvffr0waBBg7B27VrMmzdPGj9mprS0FACwbds2lJWVZabDBEEQBEFklerqavTs2dMYx1sS16Jr7dq1RkD6kCFDpOvpy3bt2oX9+/ejQ4cOHruozqpVq4zPxx57rG3f1q5di9WrVyu3rbsUy8rKSHQRBEEQRCvDD6FBrkXXjh07jM89evSQrscu27FjR05El9639u3bo6ioyLFv7LGYaWxsNGZiAkmlTBAEQRAE4RXXEWU1NTXGZzthwy5jt8km+n7s+sUut+vXAw88gPLycuNfz549M9dRgiAIgiAOOygjvYS7777bSDVRVVWFbdu2tXSXCIIgCIJoxbh2L7KBaHryURHsslwFr+n7sesXu9yuX5FIBJFIJHOdIwiCIAjisMa1pat79+7G5+3bt0vXY5ex22QTfT8HDhywFV5633LVL4IgCIIgCNeia9CgQUZyMXa2oBl9WdeuXXMSRA/wsyntZibqfbOb4UgQBEEQBJFJXIuuoqIijB49GgAwd+5c4TqapuG9994DAEycODGN7rljzJgxKCwstO3bli1bsHbt2pz3jSAIgiCIwxtPgfRXXXUVAGDBggX4/PPPLctnz56NTZs2AQCuvPLKNLrnjuLiYlx44YUAgCeffBJVVVWWdR588EEAyXiuCy64IGd9IwiCIAji8Maz6Bo6dCg0TcOFF16I+fPnA0jWJ5w9ezauv/56AMms8Oa6i1OmTEEgEEAgEEBFRYWw/X379nH/dGpra7nvRXFbv//971FcXIydO3fi/PPPxzfffAMAqKurw+9//3v87W9/AwD87ne/U667SBAEQRAEkS6eCl4DQEVFBcaPH28Ip6KiIiQSCTQ0NAAAhg0bhvnz51uEzZQpUzB16lQAwObNm9GnTx9rpxSzxt57772YMmWK5ft3330XF110kSHKysvLUVtbi3g8DgC4+uqr8fzzz7vKTltdXY3y8nJUVVVRRnqCIAiCaCX4afz2nKerT58+WLFiBSZPnowhQ4YgEAggHA5j+PDhmDZtGhYvXtxilqTvfOc7WLFiBa6//nr06dMHhw4dQrt27XDWWWfhtddewwsvvOCLcgAEQRAEQRw+eLZ0HW74SSkTBEEQBKGGn8ZvykhPEARBEIc5TbEEYvFES3ejzUOiiyAIgiAOY5piCYy4732Mm/YhyPmVXVyXASIIgiAIou2weV8dqhtiqG6ItXRX2jxk6SIIgiAIAgBAhq7sQqKLIAiCIAgAAGmu7EKiiyAIgiAIAKCYrixDoosgCIIgDmM0sm/lDBJdBEEQBEEAIPditiHRRRAEQRAEAAqkzzYkugiCIAiCAECuxmxDoosgCIIgCCIHkOgiCIIgCAIAuRezDYkugiAIgiCIHECiiyAIgiAIAGTpyjYkugiCIAiCIHIAiS6CIAiCOIxhrVs0ezG7kOgiCIIgCAIAuRezDYkugiAIgiAAUEb6bEOiiyAIgiAIAFTwOtuQ6CIIgiCIwxjSWbmDRBdBEARBEADIvZhtSHQRBEEQBAGArF7ZhkQXQRAEQRBJSHRlFRJdBEEQBHEYQ7m5cgeJLoIgCIIgAJAAyzYkugiCIAiCAEAxXdmGRBdBEARBEAAopCvbkOgiCIIgCILIASS6CIIgCOIwhit4Tf7FrEKiiyAIgiAIAORezDYkugiCIAiCAECB9NmGRBdBEARBHMaQ0ModJLoIgiAI4jCGzc1FebqyC4kugiAIgjiM4SxdpLmyCokugiAIgjiMIc2VO0h0EQRBEMRhDJsmguK7sguJLoIgCII4jCGdlTtIdBEEQRDEYQyXHJUkWFYh0UUQBEEQhzXkXswVJLoIgiAI4jCGt3QR2YREF0EQBEEcxpDQyh0kugiCIAjiMIYKXucOEl0EQRAEcRhDKSNyB4kugiAIgjiMIZ2VO0h0EQRBEMRhDFm3cgeJLoIgCII4jNEoZUTOINFFEARBEIczlBw1Z5DoIgiCIIjDGK7gNWmurEKiiyAIgiAOY0ho5Q4SXQRBEARxGMPFdLVgPw4HSHQRBEEQxGEMJUfNHSS6CIIgCOIwRpN8JjIPiS6CIAiCOIyhjPS5g0QXQRAEQRzGkM7KHSS6CIIgCOJwRpP+QWQYEl0EQRAEkUP8FqxOGelzB4kugiAIgsgRe2oaMOqB/2Lae+tauisG3OzFluvGYUFaoqumpgZTpkzB0KFDUVJSgvLycowcORKPPPIImpqa0urY7t27cfvtt2PAgAEoLCxEhw4dMHbsWDz77LOObwmxWAzPPfcczjrrLBxxxBEIh8MoLS3F0KFD8Ytf/AIbN25Mq28EQRAE4YVH3/8Gu6ob8NiCDS3dFQOybuWOPK8bbtmyBePGjUNFRQUAoKioCI2NjVi6dCmWLl2KmTNnYv78+Wjfvr3rtpctW4ZJkyahsrISAFBSUoKamhosXLgQCxcuxOzZs/Hmm28iEolYtj1w4ADOOeccfP7558Z3paWlOHToEFatWoVVq1bhqaeewssvv4yLLrrI28ETBEEQhAcqaxtbugsWqAxQ7vBk6YrH4zj//PNRUVGBbt264f3330ddXR3q6+sxa9YslJaWYvny5bj88stdt11VVYXzzjsPlZWVGDhwIJYsWYKamhrU1dXhscceQzgcxrx583DbbbcJt//lL39pCK4pU6Zg3759qK6uRkNDAz788EMce+yxaGxsxFVXXYXt27d7OXyCIAiC8MSB+vS8QNmASxlBDsas4kl0zZgxAytXrgQAvP7665gwYUKysWAQF198MZ566ikAwJw5czB//nxXbU+bNg27du1CYWEh3n33XYwYMQIAkJ+fj5tvvhlTp04FADz99NN
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(powerSpecWithoutModulation).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([0, 250])\n",
"# ax.set_ylim([0, 0.001])\n",
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
"plt.show()"
]
},
regular backup
2023-08-21 10:28:12 +02:00
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99.99999999999999 kHz\n",
"166.66666666666663 Hz\n"
]
}
],
"source": [
"dt = 5e-6\n",
"samplingFreq = 1/ dt\n",
"blockLength = 1200\n",
"df = samplingFreq / blockLength\n",
"print(str(samplingFreq / 2 / 1e3) + ' kHz')\n",
"print(str(df) + ' Hz')"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.1 kHz\n",
"0.16666666666666666 Hz\n"
]
}
],
"source": [
"dt = 5e-3\n",
"samplingFreq = 1/ dt\n",
"blockLength = 1200\n",
"df = samplingFreq / blockLength\n",
"print(str(samplingFreq / 2 / 1e3) + ' kHz')\n",
"print(str(df) + ' Hz')"
]
},
implemenent analysis for ac
2023-08-01 18:52:06 +02:00
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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
}
Reference in New Issue Copy Permalink