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{
"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-96d8b24a-350f-11ee-b2e8-80e82ce2fa8e</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <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",
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">5c0f0cab</p>\n",
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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-3d7919f2-9d5a-4c3c-ad32-da552b0908f2</p>\n",
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" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm:</strong> tcp://127.0.0.1:59147\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 6\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>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",
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" <strong>Comm: </strong> tcp://127.0.0.1:59186\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59188/status\" target=\"_blank\">http://127.0.0.1:59188/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59150\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-d4jh3llm\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59174\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59175/status\" target=\"_blank\">http://127.0.0.1:59175/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59151\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-7n_jzyyb\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59183\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59184/status\" target=\"_blank\">http://127.0.0.1:59184/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59152\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-6lgabcpn\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59178\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59181/status\" target=\"_blank\">http://127.0.0.1:59181/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59153\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-9839jr0d\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59187\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59190/status\" target=\"_blank\">http://127.0.0.1:59190/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59154\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-_dcfvi3p\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Comm: </strong> tcp://127.0.0.1:59177\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59179/status\" target=\"_blank\">http://127.0.0.1:59179/status</a>\n",
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" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 9.31 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
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" <strong>Nanny: </strong> tcp://127.0.0.1:59155\n",
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" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
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" <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-8ax_4zju\n",
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" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
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"<Client: 'tcp://127.0.0.1:59147' processes=6 threads=60, memory=55.88 GiB>"
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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": [
{
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"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'CH1' (x: 1200)>\n",
"array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])\n",
"Coordinates:\n",
2023-08-07 14:43:56 +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-85d394ab-8897-405c-a1f1-d21d25f5f553' class='xr-array-in' type='checkbox' checked><label for='section-85d394ab-8897-405c-a1f1-d21d25f5f553' 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-ebb58d0b-caad-4ae3-b4eb-825d023a1478' class='xr-section-summary-in' type='checkbox' checked><label for='section-ebb58d0b-caad-4ae3-b4eb-825d023a1478' 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-3ba49d4d-eca2-47bd-baf8-850e0d73c4e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ba49d4d-eca2-47bd-baf8-850e0d73c4e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29893755-b7ac-44cc-8227-58124c1cb1a5' class='xr-var-data-in' type='checkbox'><label for='data-29893755-b7ac-44cc-8227-58124c1cb1a5' 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-2d3a4c19-2384-4358-a2ae-b0a77ff951ac' class='xr-section-summary-in' type='checkbox' ><label for='section-2d3a4c19-2384-4358-a2ae-b0a77ff951ac' 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-a5c830f0-0d99-4879-a72d-7acc564e2948' class='xr-index-data-in' type='checkbox'/><label for='index-a5c830f0-0d99-4879-a72d-7acc564e2948' 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",
2023-08-01 18:52:06 +02:00
" 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",
2023-08-07 14:43:56 +02:00
" dtype='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01e23822-a00c-4151-a28b-b400250ead32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01e23822-a00c-4151-a28b-b400250ead32' 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>"
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": {},
"output_type": "execute_result"
}
],
"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",
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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": [
"dataWithModulation.plot.errorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
2023-08-07 14:43:56 +02:00
"source": [
"dataWithModulationFFT = fft(dataWithModulation)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"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",
"abs(dataWithModulationFFT).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([0.5, 50])\n",
"ax.set_ylim([0, 0.25])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Without Modulation"
]
},
{
"cell_type": "code",
"execution_count": 7,
2023-08-01 18:52:06 +02:00
"metadata": {},
"outputs": [
{
"data": {
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".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'><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</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-b7f5aa1b-dc0d-4821-9c71-89b2bde9ef50' class='xr-array-in' type='checkbox' checked><label for='section-b7f5aa1b-dc0d-4821-9c71-89b2bde9ef50' 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-ff049e25-7c3f-47e6-945e-5e7506a52f29' class='xr-section-summary-in' type='checkbox' checked><label for='section-ff049e25-7c3f-47e6-945e-5e7506a52f29' 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-02cd1f81-1e65-40f4-a64e-074e6f71a221' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02cd1f81-1e65-40f4-a64e-074e6f71a221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-384014d9-6ac0-4bd4-b3d2-b73f9b960acd' class='xr-var-data-in' type='checkbox'><label for='data-384014d9-6ac0-4bd4-b3d2-b73f9b960acd' 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-4d6fb09e-277d-4aa4-8e41-3ead7dc7d475' class='xr-section-summary-in' type='checkbox' ><label for='section-4d6fb09e-277d-4aa4-8e41-3ead7dc7d475' 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-b1faa13e-8e89-4cab-9ac2-3f2825646f39' class='xr-index-data-in' type='checkbox'/><label for='index-b1faa13e-8e89-4cab-9ac2-3f2825646f39' 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='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4ed7e76-f5a1-41fe-8486-591cf3819de2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4ed7e76-f5a1-41fe-8486-591cf3819de2' 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": 7,
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"metadata": {},
"output_type": "execute_result"
}
],
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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": 8,
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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",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"dataWithoutModulationFFT = fft(dataWithoutModulation)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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",
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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",
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"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Dark"
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]
},
{
"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
"outputs": [
{
"data": {
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".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",
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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",
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"\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",
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" word-break: break-all;\n",
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"\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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"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])\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-70019e75-6ef4-4537-a08b-21b123c79e39' class='xr-array-in' type='checkbox' checked><label for='section-70019e75-6ef4-4537-a08b-21b123c79e39' 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-bdd85531-e2c8-4889-9d31-9399d24cb8d7' class='xr-section-summary-in' type='checkbox' checked><label for='section-bdd85531-e2c8-4889-9d31-9399d24cb8d7' 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-17825866-6e76-4d95-bb34-66d9acd5b0bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17825866-6e76-4d95-bb34-66d9acd5b0bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef53c6c-2e47-47f9-ba2d-e2826e762e4f' class='xr-var-data-in' type='checkbox'><label for='data-9ef53c6c-2e47-47f9-ba2d-e2826e762e4f' 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-b59f35b9-a63a-4d5c-87f3-9bf5e669e898' class='xr-section-summary-in' type='checkbox' ><label for='section-b59f35b9-a63a-4d5c-87f3-9bf5e669e898' 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-c67e1c57-8b7b-49ae-8f94-73f3b7880a82' class='xr-index-data-in' type='checkbox'/><label for='index-c67e1c57-8b7b-49ae-8f94-73f3b7880a82' 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='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4906815f-4ed7-4c19-b1a3-c702f07fe853' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4906815f-4ed7-4c19-b1a3-c702f07fe853' 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",
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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": 11,
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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": 12,
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"metadata": {},
"outputs": [
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAApgAAAHECAYAAACdlVrYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAACFJUlEQVR4nO3deXwTZf4H8E9636VFaCk3AuVoQS4FAaWCHAse64mi4oUHiiuCungB64HKobsLCyIuxy6CsqI/QLkFBRTlUmjLDQUslJue9Mz8/ggJk2QmmUkmyUzzeb9evEgzM888mczxzTPP8x2TIAgCiIiIiIg0EhLoChARERFR7cIAk4iIiIg0xQCTiIiIiDTFAJOIiIiINMUAk4iIiIg0xQCTiIiIiDTFAJOIiIiINBUW6AqQ8ZjNZpw8eRLx8fEwmUyBrg4REREpIAgCiouLkZaWhpAQ37YxMsAk1U6ePInGjRsHuhpERETkgRMnTqBRo0Y+XQcDTFItPj4egGUHTUhICHBtiIiISImioiI0btzYdh33JQaYpJr1tnhCQgIDTCIiIoPxR/c2DvIhIiIiIk0xwCQiIiIiTTHAJCIiIiJNMcAkIiIiIk0xwCQiIiIiTTHAJCIiIiJNMcAkIiIiIk0xwCQiIiIiTTHAJCIiIiJNMcAkIiIiIk0xwCQiIiIiTTHAJCIiIiJNMcAkMojLlTWBrgIREZEiDDCJDOCf6w+i7VursGHfmUBXhYiIyC0GmEQGMHXtAQDAG99kB7gmRERE7jHAJCIiIiJNMcAkIiIiIk0xwCQiIiIiTTHAJDIQQRACXQUiIiK3GGASERERkaYYYBIZiMlkCnQVSEfW7z2N305cCnQ1iIichAW6AkREpN6RsyV4Yv52AEDe+4MDXBsiIntB34JZXFyMCRMmIDMzE3FxcUhMTES3bt0wdepUVFZWel3+6dOnMWbMGKSnpyM6OhrJycno3bs35syZ47I/3fLlyzF27FhkZWXh2muvRUJCAiIiIpCWloZBgwZh7ty5qK6ull1+9+7dePfddzFgwAA0bNgQERERiI+PR0ZGBl544QUcOHDA689GRIFz/EJZoKtARCTLJATxqIFjx46hT58+yMvLAwDExMSgpqYGFRUVAIBOnTph/fr1SEpK8qj8HTt2YMCAATh//jwAIC4uDuXl5bbAsH///li2bBkiIyOdls3IyEBOTo7t7/j4eFRVVaG8vNz2XufOnfHdd98hJSXFbtmFCxfioYcesnsvMTERJSUlqKmxPG4wIiIC//jHP/D000+r/lxFRUVITExEYWEhEhISVC9P6jX767cAgLTEKPw0rm+Aa0N6sGH/GTw2dxsAtmASkTL+vH4HbQtmTU0NbrvtNuTl5aFBgwZYu3YtSktLUVZWhsWLFyM+Ph67du3CsGHDPCq/sLAQQ4YMwfnz59GmTRts27YNxcXFKC0txfTp0xEeHo41a9Zg9OjRksvfc889mD17NnJyclBWVoaioiJcvnwZ+fn5mDhxIkJCQrBz504MHz7cadmqqipERkbioYcewrfffovCwkJcunQJZWVlWLduHTIyMlBZWYlnn30W69at8+jzEVGABW3TABEZghCk5syZI8ByihZ++uknp+mff/65bfq6detUl//GG28IAITo6GjhyJEjTtPfe+89AYAQGhoq7N+/X3X548aNs9XvxIkTdtP27dsn5Ofnyy578eJFITU1VQAg9O3bV/W6CwsLBQBCYWGh6mXJM01fXSE0fXWFcOOk9YGuCunE+r0Ftv2CiEgJf16/g7YFc/78+QCArKws9OjRw2n60KFD0bx5cwDAggULVJdvXUZcjtioUaMQFxeHmpoaLFy4UHX53bt3t73Oz8+3m5aeno60tDTZZevUqYO77roLALBt2zbV6yaiwAvezk1EZARBGWCWlZVhy5YtAIBBgwZJzmMymTBw4EAAwJo1a1SVv3//fhw/ftxl+XFxcejdu7dH5QPApk2bbK9btGihevmoqCgAsPXJJCJjYYBJRHoWlAHm3r17YTabAVgG08ixTisoKMCFCxcUl5+dne1Uhqvyc3NzFZVbUlKC7OxsvPLKK5g6dSoA4JFHHkG9evUU181q48aNAIDMzEy381ZUVKCoqMjuHxFZTF69Dy99+Zvfn7LE+JJqI0EQMPqL3zB1zX6n98d8+Ts+WLUvQDUjtYIyD+bJkydtrxs2bCg7n3jayZMnkZyc7JPyi4qKUFJSgri4OKd5tm7dKnkLPzQ0FMOHD8f06dMV1Unsiy++wM6dOwEAI0aMcDv/pEmTMHHiRNXrIQoGMzYcBgA83rM5Mhom+m29/g5oifxh9x+F+HqXpdvXmP7ptvf3FRTjq51/AABeHdgmIHUjdYKyBbO4uNj2OiYmRnY+8TTxMv4sPyIiAikpKUhJSUF4eLjt/aeffhrjx49HdHS04noBwIEDB/DMM88AAHr16oVHH33U7TLjxo1DYWGh7d+JEydUrZMoGFTVmP26PoaXVBtVVEsfR5Uy75N+GSbAnDdvHkwmk8f/Vq1aFeiP4JHOnTujoKAABQUFKC8vx8GDBzFy5EjMmjUL7du3x7JlyxSXVVBQgMGDB+PSpUtIS0vDokWLEBLifheIjIxEQkKC3T8iCiw2YBKRnhkmwNRSfHy87XVZmfzTMMTTxMsEqvyQkBC0bNkSM2bMwOTJk1FSUoJhw4bh1KlTbpc9c+YM+vbti0OHDiElJQXr169Ho0aN3C5HREREpJZh+mA+8MADGDJkiMfLJyZe7RslTuGTn5+PDh06SC4jTv/jKu2PI8fy5Vr8rOUnJCRI9r90ZeTIkXjttddQUlKCRYsW4aWXXpKd98yZM7jllluQm5uL+vXr4/vvv0ebNuzDQmRsbMIkIv0yTIAZGRkp+UhFT7Rt2xYhISEwm83Izs6WTSVkHQ2empqqeIAPYD9yPDs7G23btnVZfrt27RSXbRUVFYXk5GScOnUKhw4dkp3vzJkzyMrKsgsuPVkfEemLmfElEelYUN4ij4mJQc+ePQFAtm+mIAhYvXo1AMszw9VIT09HkyZNXJZfWlpqy2WptnzAMijo7NmzAORvr58+fdopuGzfvr3qdemV2SygoLDc/YwOThVe5gjcACkoLIdZQWR0rqSCnfrd4C6svfKqGpwvqQh0NagWCsbrTlAGmABsz/DesGEDfvnlF6fpS5YswZEjRwBYck2qZV1m8eLFyMvLc5o+Y8YMlJSUIDQ01Ol559XV1W7Lnzx5sm2+Pn36OE0X3xZPSUnBhg0balVwCQAvfvEbuk9aj1XZ7vugWs364TB6TPoeH6094MOakZTv951G90nrMXLhTpfzHTtfiq7vrEP/j37wU82MSeAtcs3dPHkDuryzzqMfruRbJlOga+C5z385jh6TvsfE5cpyXtcWQR1gZmZmQhAE3H333Vi/fj0AwGw2Y8mSJbb8kIMGDULfvn2dlp8wYYJthLpUADl27FikpqairKwMgwcPxo4dOwAAlZWVmDlzJt58800AwFNPPYXWrVvbLbtw4ULcfvvtWLp0Kc6cOWN732w2Y/fu3Xjqqafw9ttvAwB69uxpe+KQ1dmzZ23BZWpqKjZs2FArb4sv+92Sb/RfGw8rXub9lZYkvf/4Xr5bAfnGrI2WH2yrcgpczrcm5zQAIO+8/AA5Il84XWRpvdxy6FyAa0KOjNz4N+m7vQCAeT/lBbYifmaYPphaCwsLw7Jly5CVlYW8vDz069cPMTExMJvNKC+3/Hrt1KmTR88JByyDilasWIEBAwYgNzcXXbt2RXx8PMrLy1FVVQXAcmv8o48+clpWEAQsX74cy5cvBwDExsYiOjoaRUVFqKystM13yy23YMmSJTA5/LSbOXMmcnJyAFhupWdlZbms67Zt29C4cWOPPieRUmxx05aRL7h6Fxpi4OYy0p1gPVSDNsAEgGbNmmH37t2YMmUKli5diqNHjyI8PBzt27fHAw88gFGjRiEiIsLj8rt06YKcnBx88MEHWLFiBU6cOIHY2FhkZGRg+PDhePzxxyXzUA4ePBizZ8/Gxo0b8fvvv+P06dO4ePE
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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": 13,
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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": 14,
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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",
"\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": 15,
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"metadata": {},
"outputs": [
{
"data": {
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".xr-sections {\n",
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"\n",
".xr-section-item input {\n",
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"\n",
".xr-section-item input + label {\n",
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"\n",
".xr-section-item input:enabled + label {\n",
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"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
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" 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",
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"\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",
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"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
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"\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",
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"\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",
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"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
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"\n",
".xr-preview {\n",
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"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
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" grid-column: 2;\n",
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"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
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"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
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"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
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"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
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"\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",
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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",
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"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
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"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
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" white-space: nowrap;\n",
" overflow: hidden;\n",
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".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
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"\n",
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".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
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"\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",
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"\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",
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"\n",
".xr-attrs,\n",
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".xr-var-data,\n",
".xr-index-data {\n",
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"\n",
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" padding: 0;\n",
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".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
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" padding-right: 10px;\n",
" width: auto;\n",
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"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
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"\n",
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" display: inline-block;\n",
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"\n",
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".xr-icon-database,\n",
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"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'CH1' (x: 1200)>\n",
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"array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])\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-9a126cee-8ad7-4a0a-9d74-5970d9d895f7' class='xr-array-in' type='checkbox' checked><label for='section-9a126cee-8ad7-4a0a-9d74-5970d9d895f7' 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-13ba4104-bbf2-4e3f-964c-0d5a1bc3d698' class='xr-section-summary-in' type='checkbox' checked><label for='section-13ba4104-bbf2-4e3f-964c-0d5a1bc3d698' 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-b86bca69-8ffb-4229-8aba-7dfe5d188baf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b86bca69-8ffb-4229-8aba-7dfe5d188baf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b143f99e-301a-4fa2-b4f8-fdbde024bdcf' class='xr-var-data-in' type='checkbox'><label for='data-b143f99e-301a-4fa2-b4f8-fdbde024bdcf' 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-26adf261-3927-468e-8b90-ce9a1aca7e58' class='xr-section-summary-in' type='checkbox' ><label for='section-26adf261-3927-468e-8b90-ce9a1aca7e58' 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-e93fdca0-0fc3-4160-950c-298cd0157a6f' class='xr-index-data-in' type='checkbox'/><label for='index-e93fdca0-0fc3-4160-950c-298cd0157a6f' 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='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98e9916b-f5fc-4a5e-b29e-22dc816dec33' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98e9916b-f5fc-4a5e-b29e-22dc816dec33' 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",
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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": 15,
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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": 16,
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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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"dataOnlyOneBeam.plot.errorbar()\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
"outputs": [],
"source": [
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"dataOnlyOneBeamFFT = fft(dataOnlyOneBeam)"
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]
},
{
"cell_type": "code",
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"execution_count": 18,
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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",
"\n",
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"abs(dataOnlyOneBeamFFT).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()"
]
},
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{
"cell_type": "code",
"execution_count": 19,
"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()"
]
},
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{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Without Modulation # 2"
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]
},
{
"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
"outputs": [
{
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"array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])\n",
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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-c2b2fe0b-cdf7-459c-bcbd-21f2c82135d8' class='xr-array-in' type='checkbox' checked><label for='section-c2b2fe0b-cdf7-459c-bcbd-21f2c82135d8' 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-9cf2c600-789e-4941-8dfd-a0ce119240dc' class='xr-section-summary-in' type='checkbox' checked><label for='section-9cf2c600-789e-4941-8dfd-a0ce119240dc' 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-67f82255-7369-4a05-824f-2a72f153892c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67f82255-7369-4a05-824f-2a72f153892c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a37856a-f9a7-4915-af89-afab39a59ac4' class='xr-var-data-in' type='checkbox'><label for='data-3a37856a-f9a7-4915-af89-afab39a59ac4' 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-81a1bcb3-7485-49a3-9a25-214e767875a0' class='xr-section-summary-in' type='checkbox' ><label for='section-81a1bcb3-7485-49a3-9a25-214e767875a0' 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-e2d0269d-23de-4294-9c6b-2593b1ca5562' class='xr-index-data-in' type='checkbox'/><label for='index-e2d0269d-23de-4294-9c6b-2593b1ca5562' 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",
" 2e-05, 3.0000000000000004e-05,\n",
" 4e-05, 5e-05,\n",
" 6.000000000000001e-05, 7.000000000000001e-05,\n",
" 8e-05, 9e-05,\n",
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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",
" dtype='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d07b471-dc00-4caf-9b34-8697f4cba3a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4d07b471-dc00-4caf-9b34-8697f4cba3a1' 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",
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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": 20,
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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",
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" )\n",
")\n",
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"dataWithoutModulation2"
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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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"image/png": "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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": 22,
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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": 23,
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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",
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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",
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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": 24,
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"metadata": {},
"outputs": [
{
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"array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])\n",
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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-d3c5fe59-a588-4fc3-9180-12bb14c91609' class='xr-array-in' type='checkbox' checked><label for='section-d3c5fe59-a588-4fc3-9180-12bb14c91609' 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-0446da38-5b43-4981-b6c7-1eaccfc48aae' class='xr-section-summary-in' type='checkbox' checked><label for='section-0446da38-5b43-4981-b6c7-1eaccfc48aae' 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-aa3672b9-df22-4436-9609-f20a17b0562c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa3672b9-df22-4436-9609-f20a17b0562c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6072999-8e1f-4c61-b09e-8c4ad830abff' class='xr-var-data-in' type='checkbox'><label for='data-a6072999-8e1f-4c61-b09e-8c4ad830abff' 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-6a7c92a2-3106-488a-9d33-f874f53ca732' class='xr-section-summary-in' type='checkbox' ><label for='section-6a7c92a2-3106-488a-9d33-f874f53ca732' 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-e9347449-cc97-469b-a4d4-fc1510aca8c4' class='xr-index-data-in' type='checkbox'/><label for='index-e9347449-cc97-469b-a4d4-fc1510aca8c4' 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='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25d8a665-f607-4a75-853e-9caa98266910' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25d8a665-f607-4a75-853e-9caa98266910' 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",
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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": 24,
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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": 25,
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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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"dataOnlyOneBeam2.plot.errorbar()\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 26,
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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": 27,
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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",
"\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",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAkUAAAHdCAYAAAATow1yAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAACp3klEQVR4nO2dd5gVRdbG3zs5kjOSTICiGDEAnyImXLPrmnXVNa26Roy7ZsWAWVkVV3HXtKw5rKICugoKKmbFQBbJDJPz9PdHTd2urq4ON83cO7y/55ln7u3bobq7uurtc06diliWZYEQQgghZDMnq70LQAghhBCSDlAUEUIIIYSAoogQQgghBABFESGEEEIIAIoiQgghhBAAFEWEEEIIIQAoigghhBBCAFAUEUIIIYQAoCgihBBCCAFAUUQIIYQQAiCNRVFNTQ3eeust3HLLLTj66KMxaNAgRCIRRCIR3HDDDe1dvJiRZff7O/nkk9u7mIQQQshmS057F8CL+fPn45BDDmnvYiSdrl27Ii8vz/hbly5d2rYwhBBCCImStqIIEAJil112if5dcsklWL16dXsXKyFeeukl7Lvvvu1dDEIIIYRopK0oGjt2LDZu3OhYdtVVV7VTaQghhBDS0UnbmKLs7OyE97Fo0SJceOGFGD58OEpKSlBUVIThw4fj4osvxvLly5NQSkIIIYR0FNLWUpQoU6dOxfnnn4/GxkYAQH5+PrKysrBw4UIsXLgQTz75JF544QUccMAB7VxSQgghhKQDaWspSoRXXnkFZ599NgDhclu6dClqa2tRXV2NhQsX4thjj0VFRQV+//vft7nF6NJLL0WvXr2Ql5eHnj17Yvz48Xj44YdRU1PTpuUghBBCiJMOJ4oaGhpwwQUXAAAeeeQRTJo0yTGcf+jQoZg+fToOP/xwVFRU4J577mnT8n3xxReoqalBQUEB1q9fj1mzZuGCCy7AzjvvjB9++KFNy0IIIYQQmw4nit566y2sXLkSvXv3xumnn+653qmnngoAmDFjRpuU69RTT8Wbb76JDRs2oKqqChUVFVixYgX+9re/ITc3Fz/99BMOOuggbNq0qU3KQwghhBAnHS6m6KOPPgIAlJWVoW/fvp7rNTQ0AACWLVvm+i0SicR9/OOOOw7PP/+8a/lTTz3lWrbFFlvgpptuwk477YRjjjkGK1aswD333IObbrop7uMTQgghJD46nKXot99+AyBEz5o1azz/ysrKAAC1tbXtWVwAwNFHH43Ro0cDEPFQhBBCCGl7OpylqLm5GQBw8MEH46233oprH+vWrYv7+Pn5+XFtt9dee2HOnDlYvHhx3McmhBBCSPx0OFHUp08fAMA333wT9z569OiRrOIQQgghJEPocO4z6YZauXJlNL4oE/jkk08AAEOGDGnnkhBCCCGbJ3GJomnTpoWa9f29995LdnkDOeyww6IB1hdddFFg/h99KpFUYFmW7++vvPJKVMAdccQRKS8PIYQQQtwkZCnKyspC7969Pf/ija+RlJWVYf369dG/lpYWAEBNTY1jeVVVVXSbgoICTJkyBZFIBAsWLMDo0aMxY8aM6GgzAFiyZAkeffRRjBo1ClOmTEmojGE49thjcdVVV+GTTz5BXV1ddPnKlStx44034rjjjgMA9O/fH5dddlnKy0MIIYQQNxEryIxhYNq0aTj99NMxaNAgLF26NAXFEgwePNg4ZF7ntNNOw7Rp0xzLnnnmGZx99tlRS1FOTg46d+6Mqqoq1NfXR9e75ZZbcO211ya13Dr77rsvPvjgAwBCSHbu3BnNzc2oqKiIrjN06FC89NJL2G677VJaFkIIIYSY6XCB1pKTTjoJ++23H6ZMmYK3334bv/zyCzZt2oSSkhIMHz4cY8aMwZFHHol99tkn5WW55pprsPPOO2PevHlYsWIFNmzYgJaWFvTr1w877bQTjjrqKJx88skoKChIeVkIIYQQYiatLUWEEEIIIW1Fhxt9RgghhBASDwmJonXr1mHXXXdFSUkJCgsLseWWW+Lkk0/G+++/n6TiEUIIIYS0DQm5zyRdu3ZFdXW1Y4TX6aefjsceeww5Od5hS/X19Y6g55aWFmzcuBHdu3dPaP4xQgghhLQdlmWhsrIS/fr1Q1ZWBjuhrDiYMWOGdf3111tfffWVVVdXZ1mWZTU1NVlz5syx9t9/fwuABcC64IILfPdz/fXXR9flH//4xz/+8Y9/mf23YsWKeGRF2hCXpciPlpYWHH300Xj11VeRlZWFhQsXYptttjGuq1uKysvLMXDgQBze/xX86/txySwWIYQQQlJERUUFBgwYgE2bNqFz587tXZy4SfqQ/KysLEyePBmvvvoqWlpa8Prrr+PSSy81rpufn29M8JibVYxOnTolu2iEEEIISSGZHvqSEsff1ltvHZ1UlbO+E0IIISQTyOBoKEIIIYSQ5JESUbRo0SKsX78eAGd9J4QQQkhmELMoCorLtiwLEydOFDvPysKhhx4aX8kIIYQQQtqQmEXRsmXLMGrUKDz66KNYvHhxVCS1tLTgk08+wYQJE/Dyyy8DAM455xwMHTo0uSUmhBBCCEkBcY0++/TTT/Hpp58CECPISktLUVlZ6Rhef/rpp+OBBx5ITikJIYQQQlJMzKKod+/eePDBB/Hxxx/jyy+/xLp161BWVoaCggIMGTIEe++9N8444wyMHj06FeUlhBBCCEkJSU/emAgVFRXo3LkzjhnwLl5Yvn97F4cQQgghIZD9d3l5eUbnGeSQfEIIIYQQUBQRQgghhACgKCKEEEIIAUBRRAghhBACgKKIEEIIIQQARREhhBBCCACKIkIIIYQQABRFhBBCCCEAKIoIIYQQQgBQFBFCCCGEAKAoIoQQQggBQFFECCGEEAKAoogQQgghBABFESGEEEIIAIoiQgghhBAAFEWEEEIIIQAoigghhBBCAFAUEUIIIYQAoCgihBBCCAFAUUQIIYQQAoCiiBBCCCEEAEURIYQQQggAiiJCCCGEEAAURYQQQgghACiKCCGEEEIAUBQRQgghhACgKCKEEEIIAUBRRAghhBACgKKIEEIIIQQARREhhBBCCACKIkIIIYQQABRFhBBCCCEAKIoIIYQQQgBQFBFCCCGEAKAoIoQQQggBQFFECCGEEAKAoogQQgghBABFESGEEEIIAIoiQgghhBAAFEWEEEIIIQAoigghhBBCAFAUEUIIIYQAoCgihBBCCAFAUUQIIYQQAoCiiBBCCCEEAEURIYQQQggAiiJCCCGEEAAURYQQQgghACiKCCGEEEIAUBQRQgghhACgKCKEEEIIAUBRRAghhBACgKKIEEIIIQQARREhhBBCCACKIkIIIYQQAEkURbfffjsikUj0jxBCCCEkk0iKKPrxxx9x4403JmNXhBBCCCHtQsKiqKWlBWeeeSbq6uqw1157JaNMhBBCCCFtTsKi6MEHH8ScOXNw0kkn4cADD0xGmQghhBBC2pyERNGSJUtw7bXXonv37rj33nuTVSYAVhL3RQghhBASTE4iG5911lmorq7GlClT0LNnz2SViRBCCCGkzYnbUjR16lTMnDkT+++/P0499dRklokQQgghpM2Jy1K0cuVKTJw4EYWFhXj00UfjPnh9fT3q6+uj3ysqKuLeFyGEEEJIIsRlKTrnnHNQXl6OG264AVtuuWXcB580aRI6d+4c/RswYEDc+yKEEEIISYSYRdHTTz+NN998EzvttBMuvfTShA5+9dVXo7y8PPq3YsWKhPZHCCGEEBIvMbnP1q5di4svvhjZ2dmYOnUqcnISitNGfn4+8vPzE9oHIYQQQkgyiEnVXHnlldiwYQPOO+88DBs2DFVVVY7fGxoaop/lb3l5ecjLy0tCUQkhhBBCUkdM7rMlS5YAAP7+97+jtLTU9Tdp0qTounLZFVdckdwSE0IIIYSkgKRNCEsIIYQQksnEJIref/99WJbl+Xf99ddH15XL7rvvvmSXmRBCCCEk6dBSRAghhBACiiJCCCGEEAAURYQQQgghAJIsim644YZoLBEhhBBCSCZBSxEhhBBCCCiKCCGEEEIAUBQRQgghhACgKCKEEEI
"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": 29,
"metadata": {},
"outputs": [],
"source": [
"from Analyser.FitAnalyser import NewFitModel"
]
},
{
"cell_type": "code",
"execution_count": 30,
"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",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"fitModel = NewFitModel(sine_with_offset)\n",
"fitAnalyser = FitAnalyser(fitModel, fitDim=1)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"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",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# param = fitAnalyser.guess(dataWithModulation)\n",
"fitResult = fitAnalyser.fit(dataWithModulation, params)\n",
"fitCurve = fitAnalyser.eval(fitResult, x=dataWithModulation.x)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"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",
"dataWithModulation.plot.errorbar(ax=ax)\n",
"fitCurve.plot.errorbar(ax=ax)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 35,
2023-08-01 18:52:06 +02:00
"metadata": {},
"outputs": [
{
"data": {
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" *\n",
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" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
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" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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"\n",
"html[theme=dark],\n",
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" --xr-border-color: #1F1F1F;\n",
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".xr-text-repr-fallback {\n",
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".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",
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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",
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".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
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"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
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" content: 'â–º';\n",
" font-size: 11px;\n",
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"\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",
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".xr-section-summary,\n",
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" padding-top: 4px;\n",
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".xr-array-wrap > label {\n",
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".xr-preview {\n",
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" background-color: var(--xr-background-color) !important;\n",
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2023-08-07 14:43:56 +02:00
"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n",
"Dimensions: ()\n",
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" amplitude float64 0.09749\n",
" frequency float64 62.83\n",
" shift float64 0.162\n",
" offset float64 0.5916</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-806f50cb-532c-4906-a3da-2478bc3ea8d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-806f50cb-532c-4906-a3da-2478bc3ea8d1' 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-b03634d4-0372-4968-9eb0-74744d053264' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b03634d4-0372-4968-9eb0-74744d053264' 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-d6169548-fc18-4fba-b509-25c3c1491a7c' class='xr-section-summary-in' type='checkbox' checked><label for='section-d6169548-fc18-4fba-b509-25c3c1491a7c' 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-63db2015-47b8-46c6-88d4-c050e6d4dd52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63db2015-47b8-46c6-88d4-c050e6d4dd52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ae31c9d-0a4e-4204-9c15-369bdea45e2a' class='xr-var-data-in' type='checkbox'><label for='data-0ae31c9d-0a4e-4204-9c15-369bdea45e2a' 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-8d29f5ff-bae5-48eb-8a7f-78eb4941d4db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d29f5ff-bae5-48eb-8a7f-78eb4941d4db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71bf286b-41c3-4a7f-ab6e-11a8681a6433' class='xr-var-data-in' type='checkbox'><label for='data-71bf286b-41c3-4a7f-ab6e-11a8681a6433' 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(62.83446815)</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-46756898-9b0d-4444-9ce9-8fbb4b2c5e81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46756898-9b0d-4444-9ce9-8fbb4b2c5e81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-554c524c-944c-492e-b8bb-1109ee01422e' class='xr-var-data-in' type='checkbox'><label for='data-554c524c-944c-492e-b8bb-1109ee01422e' 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(0.16204275)</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-prev
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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",
" offset float64 0.5916"
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]
},
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"execution_count": 35,
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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": 36,
"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",
"execution_count": 93,
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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(dataWithoutModulation2)"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
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],
"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",
"execution_count": 96,
"metadata": {},
"outputs": [],
"source": [
"def autocorr(x):\n",
" result = np.correlate(x, x, mode='full')\n",
" return result[len(result)//2:]"
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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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"phaseAutoCorrWithoutModulation = autocorr((phaseWithoutModulation/np.pi))\n",
"phaseAutoCorrWithoutModulation = xr.DataArray(\n",
" data=phaseAutoCorrWithoutModulation,\n",
" dims=['x'],\n",
" coords=dict(\n",
" x=phaseWithoutModulation.x\n",
" )\n",
")"
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]
},
{
"cell_type": "code",
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"execution_count": 98,
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"metadata": {},
"outputs": [
{
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" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: 'â–º';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: 'â–¼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.DataArray (x: 1200)>\n",
"array([7.28629106e+02, 4.49482358e+02, 5.39731134e+02, ...,\n",
" 5.78254622e-01, 6.61859264e-01, 1.14999470e+00])\n",
"Coordinates:\n",
" * 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'></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-4d5e70ff-fdf7-44a4-958d-0733d915add4' class='xr-array-in' type='checkbox' checked><label for='section-4d5e70ff-fdf7-44a4-958d-0733d915add4' 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>728.6 449.5 539.7 540.5 520.3 530.0 ... 1.288 2.379 0.5783 0.6619 1.15</span></div><div class='xr-array-data'><pre>array([7.28629106e+02, 4.49482358e+02, 5.39731134e+02, ...,\n",
" 5.78254622e-01, 6.61859264e-01, 1.14999470e+00])</pre></div></div></li><li class='xr-section-item'><input id='section-b744ee27-7efa-4935-9a49-e8f78449ddc6' class='xr-section-summary-in' type='checkbox' checked><label for='section-b744ee27-7efa-4935-9a49-e8f78449ddc6' 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-87c04ecf-83c5-491f-8c6d-8f434a15cb0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87c04ecf-83c5-491f-8c6d-8f434a15cb0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5460d6f1-a9b3-4323-9ec8-f86cb8d81c1a' class='xr-var-data-in' type='checkbox'><label for='data-5460d6f1-a9b3-4323-9ec8-f86cb8d81c1a' 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-5304a22f-200c-4933-aa63-18b4a7423414' class='xr-section-summary-in' type='checkbox' ><label for='section-5304a22f-200c-4933-aa63-18b4a7423414' 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-083b6065-9ec3-47ca-bc10-28dd4e58a9a4' class='xr-index-data-in' type='checkbox'/><label for='index-083b6065-9ec3-47ca-bc10-28dd4e58a9a4' 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",
" 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",
" dtype='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91ffe5d9-adc4-473e-8021-25e0a572e1f0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91ffe5d9-adc4-473e-8021-25e0a572e1f0' 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: 1200)>\n",
"array([7.28629106e+02, 4.49482358e+02, 5.39731134e+02, ...,\n",
" 5.78254622e-01, 6.61859264e-01, 1.14999470e+00])\n",
"Coordinates:\n",
" * 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": 98,
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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": 99,
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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",
"\n",
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"phaseAutoCorrWithoutModulation.plot.errorbar(ax=ax)\n",
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"plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 100,
2023-08-01 18:52:06 +02:00
"metadata": {},
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{
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".xr-var-list > li:nth-child(odd) > div,\n",
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"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'x' (x: 1200)>\n",
"array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])\n",
"Coordinates:\n",
" * 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'>'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-828c34f7-6d82-4877-9582-506b4554e5e2' class='xr-array-in' type='checkbox' checked><label for='section-828c34f7-6d82-4877-9582-506b4554e5e2' 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 1e-05 2e-05 3e-05 4e-05 ... 0.01196 0.01197 0.01198 0.01199</span></div><div class='xr-array-data'><pre>array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></div></li><li class='xr-section-item'><input id='section-35e6f8a5-a046-456b-b6ad-ae3c2a9a76e5' class='xr-section-summary-in' type='checkbox' checked><label for='section-35e6f8a5-a046-456b-b6ad-ae3c2a9a76e5' 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-c80e2635-9f83-420c-adc2-2aedf771a423' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c80e2635-9f83-420c-adc2-2aedf771a423' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c1ae9d3-7cf3-4297-9173-fa2de7221c70' class='xr-var-data-in' type='checkbox'><label for='data-4c1ae9d3-7cf3-4297-9173-fa2de7221c70' 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-f578b79e-8858-4384-a39e-4c83c89b7fe1' class='xr-section-summary-in' type='checkbox' ><label for='section-f578b79e-8858-4384-a39e-4c83c89b7fe1' 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-0db57e97-c2a7-4c4a-b4f5-6568480a8895' class='xr-index-data-in' type='checkbox'/><label for='index-0db57e97-c2a7-4c4a-b4f5-6568480a8895' 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",
" 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",
" dtype='float64', name='x', length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0c92b7b-f644-4bc0-a579-9857f3c6bde4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d0c92b7b-f644-4bc0-a579-9857f3c6bde4' 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",
"array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])\n",
"Coordinates:\n",
" * 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": 100,
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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": 101,
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"metadata": {},
"outputs": [],
"source": [
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"powerSpecWithoutModulation = fft(phaseAutoCorrWithoutModulation.sel(x=slice(6e-3, 3)))"
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]
},
{
"cell_type": "code",
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"execution_count": 106,
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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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"fig = plt.figure()\n",
"ax = fig.gca()\n",
"\n",
"abs(powerSpecWithoutModulation).plot.errorbar(ax=ax, x='freq_x')\n",
"ax.set_xlim([1e4, 4e4])\n",
"ax.set_ylim([0, 0.02])\n",
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"plt.show()"
]
},
{
"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
}
