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{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Import supporting package" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "import numpy as np\n", "\n", "from uncertainties import ufloat\n", "from uncertainties import unumpy as unp\n", "from uncertainties import umath\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "from DataContainer.ReadData import read_hdf5_file\n", "from Analyser.ImagingAnalyser import ImageAnalyser\n", "from Analyser.FitAnalyser import FitAnalyser\n", "from Analyser.FitAnalyser import NewFitModel\n", "from ToolFunction.ToolFunction import *\n", "\n", "from ToolFunction.HomeMadeXarrayFunction import errorbar, dataarray_plot_errorbar\n", "xr.plot.dataarray_plot.errorbar = errorbar\n", "xr.plot.accessor.DataArrayPlotAccessor.errorbar = dataarray_plot_errorbar\n", "\n", "imageAnalyser = ImageAnalyser()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Start a client for parallel computing" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", " <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <h3 style=\"margin-bottom: 0px;\">Client</h3>\n", " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-4c16e830-f491-11ed-afbc-80e82ce2fa8e</p>\n", " <table style=\"width: 100%; text-align: left;\">\n", "\n", " <tr>\n", " \n", " <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n", " <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n", " \n", " </tr>\n", "\n", " \n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/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", " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">7792c6a6</p>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/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", " <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-728ebb44-86df-4773-92bb-8f5c392c0e07</p>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm:</strong> tcp://127.0.0.1:51119\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Workers:</strong> 6\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/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", " <strong>Comm: </strong> tcp://127.0.0.1:51152\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51154/status\" target=\"_blank\">http://127.0.0.1:51154/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51122\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-h2e02ha_\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", " <div style=\"margin-bottom: 20px;\">\n", " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <details>\n", " <summary>\n", " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n", " </summary>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm: </strong> tcp://127.0.0.1:51146\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51147/status\" target=\"_blank\">http://127.0.0.1:51147/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51123\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-qno9380b\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", " <div style=\"margin-bottom: 20px;\">\n", " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <details>\n", " <summary>\n", " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n", " </summary>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm: </strong> tcp://127.0.0.1:51158\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51159/status\" target=\"_blank\">http://127.0.0.1:51159/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51124\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-g4faphle\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", " <div style=\"margin-bottom: 20px;\">\n", " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <details>\n", " <summary>\n", " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n", " </summary>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm: </strong> tcp://127.0.0.1:51149\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51150/status\" target=\"_blank\">http://127.0.0.1:51150/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51125\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-wnk0crus\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", " <div style=\"margin-bottom: 20px;\">\n", " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <details>\n", " <summary>\n", " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n", " </summary>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm: </strong> tcp://127.0.0.1:51153\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51155/status\" target=\"_blank\">http://127.0.0.1:51155/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51126\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-fmryn_7r\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", " <div style=\"margin-bottom: 20px;\">\n", " <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n", " <div style=\"margin-left: 48px;\">\n", " <details>\n", " <summary>\n", " <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n", " </summary>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm: </strong> tcp://127.0.0.1:51161\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Total threads: </strong> 10\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:51162/status\" target=\"_blank\">http://127.0.0.1:51162/status</a>\n", " </td>\n", " <td style=\"text-align: left;\">\n", " <strong>Memory: </strong> 9.31 GiB\n", " </td>\n", " </tr>\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Nanny: </strong> tcp://127.0.0.1:51127\n", " </td>\n", " <td style=\"text-align: left;\"></td>\n", " </tr>\n", " <tr>\n", " <td colspan=\"2\" style=\"text-align: left;\">\n", " <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-cv7o44ht\n", " </td>\n", " </tr>\n", "\n", " \n", "\n", " \n", "\n", " </table>\n", " </details>\n", " </div>\n", " </div>\n", " \n", "\n", " </details>\n", "</div>\n", "\n", " </details>\n", " </div>\n", "</div>\n", " </details>\n", " \n", "\n", " </div>\n", "</div>" ], "text/plain": [ "<Client: 'tcp://127.0.0.1:51119' processes=6 threads=60, memory=55.88 GiB>" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from dask.distributed import Client\n", "client = Client(n_workers=6, threads_per_worker=10, processes=True, memory_limit='10GB')\n", "client" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Set global path for experiment" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "groupList = [\n", " \"images/MOT_3D_Camera/in_situ_absorption\",\n", " \"images/ODT_1_Axis_Camera/in_situ_absorption\",\n", " \"images/ODT_2_Axis_Camera/in_situ_absorption\",\n", "]\n", "\n", "dskey = {\n", " \"images/MOT_3D_Camera/in_situ_absorption\": \"camera_1\",\n", " \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_2\",\n", " \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_3\",\n", "}\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "img_dir = '//DyLabNAS/Data/'\n", "SequenceName = \"Repetition_scan\" + \"/\"\n", "folderPath = img_dir + SequenceName + '2023/' + get_date()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# An example for one experimental run" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Load the data" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "</symbol>\n", "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 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padding-top: 6px;\n", " padding-bottom: 6px;\n", " margin-bottom: 4px;\n", " border-bottom: solid 1px var(--xr-border-color);\n", "}\n", "\n", ".xr-header > div,\n", ".xr-header > ul {\n", " display: inline;\n", " margin-top: 0;\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-obj-type,\n", ".xr-array-name {\n", " margin-left: 2px;\n", " margin-right: 10px;\n", "}\n", "\n", ".xr-obj-type {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", "}\n", "\n", ".xr-section-item {\n", " display: contents;\n", "}\n", "\n", ".xr-section-item input {\n", " display: none;\n", "}\n", "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", " cursor: pointer;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", "\n", ".xr-section-summary {\n", " grid-column: 1;\n", " color: var(--xr-font-color2);\n", " font-weight: 500;\n", "}\n", "\n", ".xr-section-summary > span {\n", " display: inline-block;\n", " padding-left: 0.5em;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", " content: 'â–º';\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label:before {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", " content: 'â–¼';\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", " display: none;\n", "}\n", "\n", ".xr-section-summary,\n", ".xr-section-inline-details {\n", " padding-top: 4px;\n", " padding-bottom: 4px;\n", "}\n", "\n", ".xr-section-inline-details {\n", " grid-column: 2 / -1;\n", "}\n", "\n", ".xr-section-details {\n", " display: none;\n", " grid-column: 1 / -1;\n", " margin-bottom: 5px;\n", "}\n", "\n", ".xr-section-summary-in:checked ~ .xr-section-details {\n", " display: contents;\n", "}\n", "\n", ".xr-array-wrap {\n", " grid-column: 1 / -1;\n", " display: grid;\n", " grid-template-columns: 20px auto;\n", "}\n", "\n", ".xr-array-wrap > label {\n", " grid-column: 1;\n", " vertical-align: top;\n", "}\n", "\n", ".xr-preview {\n", " color: var(--xr-font-color3);\n", "}\n", "\n", ".xr-array-preview,\n", ".xr-array-data {\n", " padding: 0 5px !important;\n", " grid-column: 2;\n", "}\n", "\n", ".xr-array-data,\n", ".xr-array-in:checked ~ .xr-array-preview {\n", " display: none;\n", "}\n", "\n", ".xr-array-in:checked ~ .xr-array-data,\n", ".xr-array-preview {\n", " display: inline-block;\n", "}\n", "\n", ".xr-dim-list {\n", " display: inline-block !important;\n", " list-style: none;\n", " padding: 0 !important;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list li {\n", " display: inline-block;\n", " padding: 0;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list:before {\n", " content: '(';\n", "}\n", "\n", ".xr-dim-list:after {\n", " content: ')';\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37, y: 1200, x: 1920)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Dimensions without coordinates: y, x\n", "Data variables:\n", " atoms (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " background (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " dark (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " shotNum (sin_mod_freq) int64 dask.array<chunksize=(37,), meta=np.ndarray>\n", " OD (sin_mod_freq, y, x) float64 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", "Attributes: (12/109)\n", " TOF_free: 0.01\n", " abs_img_freq: 110.858\n", " absorption_imaging_flag: True\n", " backup_data: True\n", " blink_off_time: 0.001\n", " blink_on_time: 0.001\n", " ... ...\n", " y_offset_img: 0\n", " z_offset: 0.189\n", " z_offset_img: 0.189\n", " sin_mod_freq: [ 65. 66. 67. 68. 69. 70. 71. 7...\n", " scanAxis: ['sin_mod_freq']\n", " scanAxisLength: [37.]</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-57a1413a-d91a-4579-a579-291f4098a77b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57a1413a-d91a-4579-a579-291f4098a77b' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>sin_mod_freq</span>: 37</li><li><span>y</span>: 1200</li><li><span>x</span>: 1920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f606e9be-20fc-456c-a852-372817f27075' class='xr-section-summary-in' type='checkbox' checked><label for='section-f606e9be-20fc-456c-a852-372817f27075' 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'>sin_mod_freq</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.0 66.0 67.0 ... 99.0 100.0 101.0</div><input id='attrs-c9ce61a7-e4b0-43e5-9d99-3611a91f34b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9ce61a7-e4b0-43e5-9d99-3611a91f34b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60adcb2a-fdcc-46fd-8a97-d82a3fde4554' class='xr-var-data-in' type='checkbox'><label for='data-60adcb2a-fdcc-46fd-8a97-d82a3fde4554' 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([ 65., 66., 67., 68., 69., 70., 71., 72., 73., 74., 75., 76.,\n", " 77., 78., 79., 80., 81., 82., 83., 84., 85., 86., 87., 88.,\n", " 89., 90., 91., 92., 93., 94., 95., 96., 97., 98., 99., 100.,\n", " 101.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1564266c-5361-4638-84a9-1cd32b72001e' class='xr-section-summary-in' type='checkbox' checked><label for='section-1564266c-5361-4638-84a9-1cd32b72001e' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>atoms</span></div><div class='xr-var-dims'>(sin_mod_freq, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray></div><input id='attrs-7cb12d71-d598-477a-b402-53183d9bcd65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cb12d71-d598-477a-b402-53183d9bcd65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b0ee154-2d4d-497b-ab12-ed0e21df5eb1' class='xr-var-data-in' type='checkbox'><label for='data-8b0ee154-2d4d-497b-ab12-ed0e21df5eb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table style=\"border-collapse: collapse;\">\n", " <thead>\n", " <tr>\n", " <td> </td>\n", " <th> Array </th>\n", " <th> Chunk </th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " \n", " <tr>\n", " <th> Bytes </th>\n", " <td> 162.60 MiB </td>\n", " <td> 127.44 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (37, 1200, 1920) </td>\n", " <td> (29, 1200, 1920) </td>\n", " </tr>\n", " <tr>\n", " <th> Dask graph </th>\n", " <td colspan=\"2\"> 2 chunks in 113 graph layers </td>\n", " </tr>\n", " <tr>\n", " <th> Data type </th>\n", " <td colspan=\"2\"> uint16 numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"196\" height=\"141\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"10\" y1=\"75\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"88\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 26.954332251750458,16.954332251750458 26.954332251750458,91.95433225175046 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 130.0,0.0 146.95433225175046,16.954332251750458 26.954332251750458,16.954332251750458\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"26\" y1=\"91\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", " <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"26.954332251750458,16.954332251750458 146.95433225175046,16.954332251750458 146.95433225175046,91.95433225175046 26.954332251750458,91.95433225175046\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"86.954332\" y=\"111.954332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n", " <text x=\"166.954332\" y=\"54.454332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.954332,54.454332)\">1200</text>\n", " <text x=\"8.477166\" y=\"103.477166\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.477166,103.477166)\">37</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>background</span></div><div class='xr-var-dims'>(sin_mod_freq, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray></div><input id='attrs-05bc41c2-4d39-42f7-bc71-b743652763ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05bc41c2-4d39-42f7-bc71-b743652763ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6c6dd6-1f3f-4afa-b397-93a104b2ea0e' class='xr-var-data-in' type='checkbox'><label for='data-fa6c6dd6-1f3f-4afa-b397-93a104b2ea0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table style=\"border-collapse: collapse;\">\n", " <thead>\n", " <tr>\n", " <td> </td>\n", " <th> Array </th>\n", " <th> Chunk </th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " \n", " <tr>\n", " <th> Bytes </th>\n", " <td> 162.60 MiB </td>\n", " <td> 127.44 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (37, 1200, 1920) </td>\n", " <td> (29, 1200, 1920) </td>\n", " </tr>\n", " <tr>\n", " <th> Dask graph </th>\n", " <td colspan=\"2\"> 2 chunks in 113 graph layers </td>\n", " </tr>\n", " <tr>\n", " <th> Data type </th>\n", " <td colspan=\"2\"> uint16 numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"196\" height=\"141\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"10\" y1=\"75\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"88\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 26.954332251750458,16.954332251750458 26.954332251750458,91.95433225175046 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 130.0,0.0 146.95433225175046,16.954332251750458 26.954332251750458,16.954332251750458\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"26\" y1=\"91\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", " <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"26.954332251750458,16.954332251750458 146.95433225175046,16.954332251750458 146.95433225175046,91.95433225175046 26.954332251750458,91.95433225175046\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"86.954332\" y=\"111.954332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n", " <text x=\"166.954332\" y=\"54.454332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.954332,54.454332)\">1200</text>\n", " <text x=\"8.477166\" y=\"103.477166\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.477166,103.477166)\">37</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark</span></div><div class='xr-var-dims'>(sin_mod_freq, y, x)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray></div><input id='attrs-c848c4a0-8a59-49d9-b765-3596b289862b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c848c4a0-8a59-49d9-b765-3596b289862b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-951db309-9e61-487e-93b7-bb8285e9001a' class='xr-var-data-in' type='checkbox'><label for='data-951db309-9e61-487e-93b7-bb8285e9001a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table style=\"border-collapse: collapse;\">\n", " <thead>\n", " <tr>\n", " <td> </td>\n", " <th> Array </th>\n", " <th> Chunk </th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " \n", " <tr>\n", " <th> Bytes </th>\n", " <td> 162.60 MiB </td>\n", " <td> 127.44 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (37, 1200, 1920) </td>\n", " <td> (29, 1200, 1920) </td>\n", " </tr>\n", " <tr>\n", " <th> Dask graph </th>\n", " <td colspan=\"2\"> 2 chunks in 113 graph layers </td>\n", " </tr>\n", " <tr>\n", " <th> Data type </th>\n", " <td colspan=\"2\"> uint16 numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"196\" height=\"141\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"10\" y1=\"75\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" 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<line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"26\" y1=\"91\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", " <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"26.954332251750458,16.954332251750458 146.95433225175046,16.954332251750458 146.95433225175046,91.95433225175046 26.954332251750458,91.95433225175046\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"86.954332\" y=\"111.954332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n", " <text x=\"166.954332\" y=\"54.454332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.954332,54.454332)\">1200</text>\n", " <text x=\"8.477166\" y=\"103.477166\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.477166,103.477166)\">37</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>shotNum</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(37,), meta=np.ndarray></div><input id='attrs-b7b8c64f-3f56-40ba-a02a-082135ec4729' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7b8c64f-3f56-40ba-a02a-082135ec4729' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fad5bc38-d913-4276-b188-b4cbfac0641f' class='xr-var-data-in' type='checkbox'><label for='data-fad5bc38-d913-4276-b188-b4cbfac0641f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table style=\"border-collapse: collapse;\">\n", " <thead>\n", " <tr>\n", " <td> </td>\n", " <th> Array </th>\n", " <th> Chunk </th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " \n", " <tr>\n", " <th> Bytes </th>\n", " <td> 296 B </td>\n", " <td> 296 B </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (37,) </td>\n", " <td> (37,) </td>\n", " </tr>\n", " <tr>\n", " <th> Dask graph </th>\n", " <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n", " </tr>\n", " <tr>\n", " <th> Data type </th>\n", " <td colspan=\"2\"> int64 numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"170\" height=\"80\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"30\" style=\"stroke-width:2\" />\n", " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"30\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"0.0,0.0 120.0,0.0 120.0,30.769621904823087 0.0,30.769621904823087\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"60.000000\" y=\"50.769622\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >37</text>\n", " <text x=\"140.000000\" y=\"15.384811\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,15.384811)\">1</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OD</span></div><div class='xr-var-dims'>(sin_mod_freq, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray></div><input id='attrs-64421666-efde-4859-a275-b4f177273aba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64421666-efde-4859-a275-b4f177273aba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e804bef4-59b4-4c5d-97d6-52fa58f39970' class='xr-var-data-in' type='checkbox'><label for='data-e804bef4-59b4-4c5d-97d6-52fa58f39970' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>IMAGE_SUBCLASS :</span></dt><dd>IMAGE_GRAYSCALE</dd><dt><span>IMAGE_VERSION :</span></dt><dd>1.2</dd><dt><span>IMAGE_WHITE_IS_ZERO :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n", " <tr>\n", " <td>\n", " <table style=\"border-collapse: collapse;\">\n", " <thead>\n", " <tr>\n", " <td> </td>\n", " <th> Array </th>\n", " <th> Chunk </th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " \n", " <tr>\n", " <th> Bytes </th>\n", " <td> 650.39 MiB </td>\n", " <td> 509.77 MiB </td>\n", " </tr>\n", " \n", " <tr>\n", " <th> Shape </th>\n", " <td> (37, 1200, 1920) </td>\n", " <td> (29, 1200, 1920) </td>\n", " </tr>\n", " <tr>\n", " <th> Dask graph </th>\n", " <td colspan=\"2\"> 2 chunks in 349 graph layers </td>\n", " </tr>\n", " <tr>\n", " <th> Data type </th>\n", " <td colspan=\"2\"> float64 numpy.ndarray </td>\n", " </tr>\n", " </tbody>\n", " </table>\n", " </td>\n", " <td>\n", " <svg width=\"196\" height=\"141\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"10\" y1=\"75\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"75\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"88\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 26.954332251750458,16.954332251750458 26.954332251750458,91.95433225175046 10.0,75.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n", " <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"10.0,0.0 130.0,0.0 146.95433225175046,16.954332251750458 26.954332251750458,16.954332251750458\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Horizontal lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n", " <line x1=\"26\" y1=\"91\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Vertical lines -->\n", " <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"91\" style=\"stroke-width:2\" />\n", " <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"91\" style=\"stroke-width:2\" />\n", "\n", " <!-- Colored Rectangle -->\n", " <polygon points=\"26.954332251750458,16.954332251750458 146.95433225175046,16.954332251750458 146.95433225175046,91.95433225175046 26.954332251750458,91.95433225175046\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", "\n", " <!-- Text -->\n", " <text x=\"86.954332\" y=\"111.954332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1920</text>\n", " <text x=\"166.954332\" y=\"54.454332\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.954332,54.454332)\">1200</text>\n", " <text x=\"8.477166\" y=\"103.477166\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.477166,103.477166)\">37</text>\n", "</svg>\n", " </td>\n", " </tr>\n", "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-99d3f0f7-2dc5-4e1b-a9a8-eb5e8eaf89a6' class='xr-section-summary-in' type='checkbox' ><label for='section-99d3f0f7-2dc5-4e1b-a9a8-eb5e8eaf89a6' 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>sin_mod_freq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-445382f2-44cb-458a-9fe1-0e4f1c21b11a' class='xr-index-data-in' type='checkbox'/><label for='index-445382f2-44cb-458a-9fe1-0e4f1c21b11a' 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([ 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0,\n", " 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0,\n", " 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0,\n", " 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0,\n", " 101.0],\n", " dtype='float64', name='sin_mod_freq'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2d0a646-a4ba-4c4a-b1ce-dedd8e84e93f' class='xr-section-summary-in' type='checkbox' ><label for='section-a2d0a646-a4ba-4c4a-b1ce-dedd8e84e93f' class='xr-section-summary' >Attributes: <span>(109)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TOF_free :</span></dt><dd>0.01</dd><dt><span>abs_img_freq :</span></dt><dd>110.858</dd><dt><span>absorption_imaging_flag :</span></dt><dd>True</dd><dt><span>backup_data :</span></dt><dd>True</dd><dt><span>blink_off_time :</span></dt><dd>0.001</dd><dt><span>blink_on_time :</span></dt><dd>0.001</dd><dt><span>c_duration :</span></dt><dd>0.2</dd><dt><span>cmot_final_current :</span></dt><dd>0.65</dd><dt><span>cmot_hold :</span></dt><dd>0.06</dd><dt><span>cmot_initial_current :</span></dt><dd>0.18</dd><dt><span>compX_current :</span></dt><dd>0.005</dd><dt><span>compX_current_sg :</span></dt><dd>0</dd><dt><span>compX_final_current :</span></dt><dd>0.005</dd><dt><span>compX_initial_current :</span></dt><dd>0.005</dd><dt><span>compY_current :</span></dt><dd>0</dd><dt><span>compY_current_sg :</span></dt><dd>0</dd><dt><span>compY_final_current :</span></dt><dd>0.0</dd><dt><span>compY_initial_current :</span></dt><dd>0</dd><dt><span>compZ_current :</span></dt><dd>0</dd><dt><span>compZ_current_sg :</span></dt><dd>0.189</dd><dt><span>compZ_final_current :</span></dt><dd>0.271</dd><dt><span>compZ_initial_current :</span></dt><dd>0</dd><dt><span>default_camera :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_final_pow :</span></dt><dd>0.35</dd><dt><span>evap_1_arm_1_mod_depth_final :</span></dt><dd>0</dd><dt><span>evap_1_arm_1_mod_depth_initial :</span></dt><dd>1.0</dd><dt><span>evap_1_arm_1_mod_ramp_duration :</span></dt><dd>1.15</dd><dt><span>evap_1_arm_1_pow_ramp_duration :</span></dt><dd>1.65</dd><dt><span>evap_1_arm_1_start_pow :</span></dt><dd>7</dd><dt><span>evap_1_arm_2_final_pow :</span></dt><dd>5</dd><dt><span>evap_1_arm_2_ramp_duration :</span></dt><dd>0.5</dd><dt><span>evap_1_arm_2_start_pow :</span></dt><dd>0</dd><dt><span>evap_1_mod_ramp_trunc_value :</span></dt><dd>1</dd><dt><span>evap_1_pow_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_1_rate_constant_1 :</span></dt><dd>0.525</dd><dt><span>evap_1_rate_constant_2 :</span></dt><dd>0.51</dd><dt><span>evap_2_arm_1_final_pow :</span></dt><dd>0.1</dd><dt><span>evap_2_arm_1_start_pow :</span></dt><dd>0.35</dd><dt><span>evap_2_arm_2_final_pow :</span></dt><dd>1.71</dd><dt><span>evap_2_arm_2_start_pow :</span></dt><dd>5</dd><dt><span>evap_2_ramp_duration :</span></dt><dd>0.5</dd><dt><span>evap_2_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_2_rate_constant_1 :</span></dt><dd>0.37</dd><dt><span>evap_2_rate_constant_2 :</span></dt><dd>0.71</dd><dt><span>evap_3_arm_1_final_pow :</span></dt><dd>0.1038</dd><dt><span>evap_3_arm_1_mod_depth_final :</span></dt><dd>0.43</dd><dt><span>evap_3_arm_1_mod_depth_initial :</span></dt><dd>0</dd><dt><span>evap_3_arm_1_start_pow :</span></dt><dd>0.1</dd><dt><span>evap_3_ramp_duration :</span></dt><dd>0.1</dd><dt><span>evap_3_ramp_trunc_value :</span></dt><dd>1.0</dd><dt><span>evap_3_rate_constant_1 :</span></dt><dd>-0.879</dd><dt><span>evap_3_rate_constant_2 :</span></dt><dd>-0.297</dd><dt><span>final_amp :</span></dt><dd>0.0001</dd><dt><span>final_freq :</span></dt><dd>104.0</dd><dt><span>final_pow_1 :</span></dt><dd>0.1038</dd><dt><span>final_pow_2 :</span></dt><dd>1.71</dd><dt><span>gradCoil_current :</span></dt><dd>0.18</dd><dt><span>gradCoil_current_sg :</span></dt><dd>0</dd><dt><span>imaging_method :</span></dt><dd>in_situ_absorption</dd><dt><span>imaging_pulse_duration :</span></dt><dd>2.5e-05</dd><dt><span>imaging_wavelength :</span></dt><dd>4.21291e-07</dd><dt><span>initial_amp :</span></dt><dd>0.62</dd><dt><span>initial_freq :</span></dt><dd>102.13</dd><dt><span>mod_depth_fin :</span></dt><dd>0.43</dd><dt><span>mod_depth_ini :</span></dt><dd>0</dd><d " 79. 80. 81. 82. 83. 84. 85. 86. 87. 88. 89. 90. 91. 92.\n", " 93. 94. 95. 96. 97. 98. 99. 100. 101.]</dd><dt><span>scanAxis :</span></dt><dd>['sin_mod_freq']</dd><dt><span>scanAxisLength :</span></dt><dd>[37.]</dd></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37, y: 1200, x: 1920)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Dimensions without coordinates: y, x\n", "Data variables:\n", " atoms (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " background (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " dark (sin_mod_freq, y, x) uint16 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", " shotNum (sin_mod_freq) int64 dask.array<chunksize=(37,), meta=np.ndarray>\n", " OD (sin_mod_freq, y, x) float64 dask.array<chunksize=(29, 1200, 1920), meta=np.ndarray>\n", "Attributes: (12/109)\n", " TOF_free: 0.01\n", " abs_img_freq: 110.858\n", " absorption_imaging_flag: True\n", " backup_data: True\n", " blink_off_time: 0.001\n", " blink_on_time: 0.001\n", " ... ...\n", " y_offset_img: 0\n", " z_offset: 0.189\n", " z_offset_img: 0.189\n", " sin_mod_freq: [ 65. 66. 67. 68. 69. 70. 71. 7...\n", " scanAxis: ['sin_mod_freq']\n", " scanAxisLength: [37.]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shotNum = \"0065\"\n", "filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n", "filePath = \"//DyLabNAS/Data/Evaporative_Cooling/2023/05/12/0065/*.h5\"\n", "\n", "dataSetDict = {\n", " dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n", " for i in [0] # range(len(groupList))\n", "}\n", "\n", "dataSet = dataSetDict[\"camera_1\"]\n", "dataSet = swap_xy(dataSet)\n", "\n", "scanAxis = get_scanAxis(dataSet)\n", "\n", "dataSet = auto_rechunk(dataSet)\n", "\n", "dataSet = imageAnalyser.get_absorption_images(dataSet)\n", "\n", "dataSet" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Calculate an plot OD images" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 11200x300 with 38 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "imageAnalyser.center = (959, 280)\n", "imageAnalyser.span = (150, 200)\n", "imageAnalyser.fraction = (0.1, 0.1)\n", "\n", "dataSet_cropOD = imageAnalyser.crop_image(dataSet.OD)\n", "dataSet_cropOD = imageAnalyser.substract_offset(dataSet_cropOD).load()\n", "\n", "dataSet_cropOD.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Do a 2D two-peak gaussian fit to the OD images" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Do the fit" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "fitAnalyser = FitAnalyser(\"Gaussian-2D\", fitDim=2)\n", "\n", "params = fitAnalyser.guess(dataSet_cropOD, dask=\"parallelized\")\n", "fitResult = fitAnalyser.fit(dataSet_cropOD, params).load()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<xarray.plot.facetgrid.FacetGrid at 0x227b2a71d60>" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "<Figure size 11200x300 with 38 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fitCurve = fitAnalyser.eval(fitResult, x=np.arange(150), y=np.arange(200), dask=\"parallelized\").load()\n", "\n", "fitCurve.plot.pcolormesh(cmap='jet', vmin=0, col=scanAxis[0], row=scanAxis[1])" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Get the result of the fit" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 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margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) float64 1.808e+03 1.824e+03 ... 1.838e+03\n", " centerx (sin_mod_freq) float64 73.1 74.3 72.99 ... 73.44 73.32 73.94\n", " centery (sin_mod_freq) float64 102.0 101.4 102.1 ... 101.7 102.4 102.6\n", " sigmax (sin_mod_freq) float64 13.57 13.13 13.86 ... 14.41 14.1 14.47\n", " sigmay (sin_mod_freq) float64 14.06 13.93 14.49 ... 14.98 14.53 14.95\n", " fwhmx (sin_mod_freq) float64 31.95 30.93 32.63 ... 33.94 33.21 34.08\n", " fwhmy (sin_mod_freq) float64 33.12 32.8 34.11 ... 35.29 34.22 35.21\n", " height (sin_mod_freq) float64 14.88 15.66 15.11 ... 12.13 12.67 13.34</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-b16ca569-424f-49fb-9624-e80ad59ef0ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b16ca569-424f-49fb-9624-e80ad59ef0ca' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>sin_mod_freq</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a359b01-9c2b-46af-a2a0-d462271c3b0c' class='xr-section-summary-in' type='checkbox' checked><label for='section-9a359b01-9c2b-46af-a2a0-d462271c3b0c' 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'>sin_mod_freq</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.0 66.0 67.0 ... 99.0 100.0 101.0</div><input id='attrs-9a06a662-aff5-4a41-8e42-64faaaf903eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a06a662-aff5-4a41-8e42-64faaaf903eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-048ed711-76a4-4a48-bb3b-94d3b8dd1c3c' class='xr-var-data-in' type='checkbox'><label for='data-048ed711-76a4-4a48-bb3b-94d3b8dd1c3c' 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([ 65., 66., 67., 68., 69., 70., 71., 72., 73., 74., 75., 76.,\n", " 77., 78., 79., 80., 81., 82., 83., 84., 85., 86., 87., 88.,\n", " 89., 90., 91., 92., 93., 94., 95., 96., 97., 98., 99., 100.,\n", " 101.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a5994d9-6c25-4135-bd3e-2811c25b3649' class='xr-section-summary-in' type='checkbox' checked><label for='section-1a5994d9-6c25-4135-bd3e-2811c25b3649' class='xr-section-summary' >Data variables: <span>(8)</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'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.808e+03 1.824e+03 ... 1.838e+03</div><input id='attrs-69c255fd-e596-4d70-8fc6-4c2dc651ba8e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69c255fd-e596-4d70-8fc6-4c2dc651ba8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0fb36f1-8b63-4112-a8fe-66496ff31713' class='xr-var-data-in' type='checkbox'><label for='data-d0fb36f1-8b63-4112-a8fe-66496ff31713' 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([1807.93528127, 1823.85154775, 1930.52699446, 2043.21337596,\n", " 1755.28170587, 1928.90722727, 1643.95095489, 1283.65467467,\n", " 808.72834012, 865.21929277, 1035.53685034, 1106.42181287,\n", " 1412.38825624, 1371.48258955, 1196.81425677, 915.16240689,\n", " 1146.63503079, 865.02846807, 1084.08216459, 967.18640745,\n", " 1051.010351 , 1050.16006046, 1215.44969246, 1362.91431476,\n", " 1217.75835749, 1272.49697584, 1481.75493508, 1464.34592017,\n", " 1657.25602169, 1696.49246918, 1796.62378969, 1634.71899161,\n", " 1840.97400511, 1842.53816907, 1668.38908365, 1652.79358228,\n", " 1838.30544459])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centerx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>73.1 74.3 72.99 ... 73.32 73.94</div><input id='attrs-03fafef3-da1e-4c90-987a-2c1d7dea1bc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03fafef3-da1e-4c90-987a-2c1d7dea1bc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9032f8ec-9c8d-4dd2-8f3f-eeb362b81121' class='xr-var-data-in' type='checkbox'><label for='data-9032f8ec-9c8d-4dd2-8f3f-eeb362b81121' 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([73.09504892, 74.2961648 , 72.99174212, 74.04348413, 73.22260606,\n", " 74.18857612, 72.78553034, 74.97292592, 73.71314922, 72.01768796,\n", " 74.64580353, 72.19659785, 75.62422128, 72.47608378, 74.504872 ,\n", " 73.11416511, 73.66486606, 72.66877375, 73.70722415, 73.6648867 ,\n", " 73.39905462, 73.7277819 , 73.47676618, 73.88127094, 73.05124233,\n", " 73.61076109, 74.44622984, 73.64707412, 74.68086049, 73.38788184,\n", " 73.8291442 , 73.54267863, 74.76275625, 73.73687047, 73.4383767 ,\n", " 73.31801867, 73.93961529])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centery</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>102.0 101.4 102.1 ... 102.4 102.6</div><input id='attrs-5b07a723-b710-420d-828a-4721d4d2d180' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b07a723-b710-420d-828a-4721d4d2d180' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c45e941-4f12-4a94-a4a3-139718de7ce1' class='xr-var-data-in' type='checkbox'><label for='data-0c45e941-4f12-4a94-a4a3-139718de7ce1' 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([102.02065787, 101.40658166, 102.09392519, 102.25438654,\n", " 102.2670119 , 102.52475183, 102.1406389 , 102.26768833,\n", " 102.57357475, 102.05818657, 102.5193245 , 101.8701202 ,\n", " 102.41939658, 103.10524973, 102.48141228, 102.63252011,\n", " 102.48212386, 101.59476336, 102.20244382, 102.4378397 ,\n", " 102.67450561, 102.67557878, 101.89233182, 102.33627655,\n", " 102.70081039, 102.72444145, 101.89323699, 102.57296304,\n", " 102.522762 , 102.08813975, 102.82408395, 101.05807313,\n", " 103.08641643, 102.65939138, 101.65246632, 102.35511604,\n", " 102.56255368])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmax</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.57 13.13 13.86 ... 14.1 14.47</div><input id='attrs-c4082315-03e8-4c20-bee8-f95ca23f5ef5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4082315-03e8-4c20-bee8-f95ca23f5ef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85ba9d5c-c018-4688-ab53-3ffec042e0fd' class='xr-var-data-in' type='checkbox'><label for='data-85ba9d5c-c018-4688-ab53-3ffec042e0fd' 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([13.5691735 , 13.13430177, 13.85572302, 13.75440855, 13.720683 ,\n", " 14.52516874, 14.52583428, 14.89688471, 17.03144916, 16.75918137,\n", " 17.01356513, 15.73297018, 15.20840342, 15.25850408, 15.49555383,\n", " 16.05883375, 16.15979326, 16.05513176, 16.11833107, 16.37001508,\n", " 15.87933474, 16.39350716, 15.96794591, 15.66836669, 16.01693447,\n", " 15.29321879, 14.87997156, 15.21032252, 14.91656733, 14.57482083,\n", " 15.40894035, 14.20511874, 14.40218836, 14.6416765 , 14.41249798,\n", " 14.10096203, 14.4723655 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmay</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.06 13.93 14.49 ... 14.53 14.95</div><input id='attrs-59d7f0fd-07a0-485d-a321-a7f1d2dc39bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59d7f0fd-07a0-485d-a321-a7f1d2dc39bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1057992d-a9da-443d-8d9a-d0601bb47dcc' class='xr-var-data-in' type='checkbox'><label for='data-1057992d-a9da-443d-8d9a-d0601bb47dcc' 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([14.06347139, 13.9298189 , 14.4858854 , 14.39934646, 14.27531429,\n", " 15.17673738, 14.82353887, 15.05124818, 16.953293 , 16.72497202,\n", " 16.80107317, 15.8311623 , 15.41953837, 15.43527348, 15.61410368,\n", " 15.90018414, 16.18510711, 15.94420795, 16.47725015, 16.45599857,\n", " 16.23727608, 16.38777376, 16.00877073, 15.87241749, 16.18279681,\n", " 15.3962658 , 15.10517002, 15.38423864, 14.97613875, 14.91383042,\n", " 15.4906641 , 14.79252339, 15.06554254, 14.96508184, 14.98475356,\n", " 14.53172023, 14.95164104])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.95 30.93 32.63 ... 33.21 34.08</div><input id='attrs-20b8310d-5bfa-4b1e-b5a8-f32aede111be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20b8310d-5bfa-4b1e-b5a8-f32aede111be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e62025aa-b49e-4657-8e52-5f13f9b847c2' class='xr-var-data-in' type='checkbox'><label for='data-e62025aa-b49e-4657-8e52-5f13f9b847c2' 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([31.95296115, 30.9289165 , 32.62773368, 32.38915634, 32.30973875,\n", " 34.20415786, 34.20572508, 35.07948204, 40.10599712, 39.46485547,\n", " 40.06388344, 37.04831283, 35.81305255, 35.93103059, 36.48924008,\n", " 37.8156629 , 38.05340437, 37.80694536, 37.95576838, 38.5484389 ,\n", " 37.39297502, 38.60375853, 37.60163839, 36.89618325, 37.71699762,\n", " 36.01277746, 35.03965462, 35.81757167, 35.12583107, 34.32107959,\n", " 36.28528092, 33.45049772, 33.91456118, 34.47851266, 33.9388385 ,\n", " 33.2052274 , 34.07981572])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmy</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.12 32.8 34.11 ... 34.22 35.21</div><input id='attrs-b0154a41-1124-41f7-a6d6-38eddd2d0057' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0154a41-1124-41f7-a6d6-38eddd2d0057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe05271-c015-41c8-b7b7-dbb0e5098425' class='xr-var-data-in' type='checkbox'><label for='data-7fe05271-c015-41c8-b7b7-dbb0e5098425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([33.11694369, 32.80221615, 34.11165266, 33.90786903, 33.6157956 ,\n", " 35.73848472, 34.90676581, 35.44298023, 39.92195342, 39.38429861,\n", " 39.56350313, 37.27953762, 36.31023736, 36.34729069, 36.76840363,\n", " 37.44207162, 38.11301392, 37.54573976, 38.80095819, 38.75091454,\n", " 38.23586246, 38.59025741, 37.69777349, 37.37668616, 38.10757359,\n", " 36.25543463, 35.56995646, 36.22711283, 35.26611106, 35.11938614,\n", " 36.47772564, 34.83372993, 35.47664087, 35.24007403, 35.28639738,\n", " 34.21958544, 35.20842336])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.88 15.66 15.11 ... 12.67 13.34</div><input id='attrs-8641450c-34bf-41c7-a7e3-4abc77174512' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8641450c-34bf-41c7-a7e3-4abc77174512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccbdc5eb-958a-45be-a9dc-a9a565b530bd' class='xr-var-data-in' type='checkbox'><label for='data-ccbdc5eb-958a-45be-a9dc-a9a565b530bd' 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([14.88184648, 15.65874295, 15.10850561, 16.20499463, 14.07684364,\n", " 13.74458414, 11.99266617, 8.99290702, 4.39963716, 4.84872846,\n", " 5.69053471, 6.97777687, 9.46060633, 9.14710957, 7.77002581,\n", " 5.62991562, 6.88642302, 5.30803094, 6.41176006, 5.6397095 ,\n", " 6.40296878, 6.14021435, 7.46878263, 8.60838372, 7.37985805,\n", " 8.48911324, 10.35543944, 9.82990047, 11.65307999, 12.25968695,\n", " 11.82317737, 12.22013053, 13.327671 , 13.20889413, 12.13468046,\n", " 12.66988626, 13.34471058])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99363739-3a85-453a-a7fd-55b609c1de7c' class='xr-section-summary-in' type='checkbox' ><label for='section-99363739-3a85-453a-a7fd-55b609c1de7c' 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>sin_mod_freq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed47bed7-852a-4fb0-95ef-eb2ec3b29863' class='xr-index-data-in' type='checkbox'/><label for='index-ed47bed7-852a-4fb0-95ef-eb2ec3b29863' 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([ 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0,\n", " 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0,\n", " 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0,\n", " 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0,\n", " 101.0],\n", " dtype='float64', name='sin_mod_freq'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f9e0301-7ad5-4e4d-a1ea-0c8b7f72e5fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f9e0301-7ad5-4e4d-a1ea-0c8b7f72e5fe' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) float64 1.808e+03 1.824e+03 ... 1.838e+03\n", " centerx (sin_mod_freq) float64 73.1 74.3 72.99 ... 73.44 73.32 73.94\n", " centery (sin_mod_freq) float64 102.0 101.4 102.1 ... 101.7 102.4 102.6\n", " sigmax (sin_mod_freq) float64 13.57 13.13 13.86 ... 14.41 14.1 14.47\n", " sigmay (sin_mod_freq) float64 14.06 13.93 14.49 ... 14.98 14.53 14.95\n", " fwhmx (sin_mod_freq) float64 31.95 30.93 32.63 ... 33.94 33.21 34.08\n", " fwhmy (sin_mod_freq) float64 33.12 32.8 34.11 ... 35.29 34.22 35.21\n", " height (sin_mod_freq) float64 14.88 15.66 15.11 ... 12.13 12.67 13.34" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fitAnalyser.get_fit_value(fitResult)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "</symbol>\n", "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "</symbol>\n", "</defs>\n", "</svg>\n", "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", " *\n", " */\n", "\n", ":root {\n", " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", " --xr-background-color: var(--jp-layout-color0, white);\n", " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", "html[theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", " --xr-border-color: #1F1F1F;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", " --xr-background-color-row-odd: #313131;\n", "}\n", "\n", ".xr-wrap {\n", " display: block !important;\n", " min-width: 300px;\n", " max-width: 700px;\n", "}\n", "\n", ".xr-text-repr-fallback {\n", " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", " display: none;\n", "}\n", "\n", ".xr-header {\n", " padding-top: 6px;\n", " padding-bottom: 6px;\n", " margin-bottom: 4px;\n", " border-bottom: solid 1px var(--xr-border-color);\n", "}\n", "\n", ".xr-header > div,\n", ".xr-header > ul {\n", " display: inline;\n", " margin-top: 0;\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-obj-type,\n", ".xr-array-name {\n", " margin-left: 2px;\n", " margin-right: 10px;\n", "}\n", "\n", ".xr-obj-type {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", "}\n", "\n", ".xr-section-item {\n", " display: contents;\n", "}\n", "\n", ".xr-section-item input {\n", " display: none;\n", "}\n", "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", " cursor: pointer;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", "\n", ".xr-section-summary {\n", " grid-column: 1;\n", " color: var(--xr-font-color2);\n", " font-weight: 500;\n", "}\n", "\n", ".xr-section-summary > span {\n", " display: inline-block;\n", " padding-left: 0.5em;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", " content: 'â–º';\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label:before {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", " content: 'â–¼';\n", "}\n", "\n", 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".xr-array-in:checked ~ .xr-array-data,\n", ".xr-array-preview {\n", " display: inline-block;\n", "}\n", "\n", ".xr-dim-list {\n", " display: inline-block !important;\n", " list-style: none;\n", " padding: 0 !important;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list li {\n", " display: inline-block;\n", " padding: 0;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list:before {\n", " content: '(';\n", "}\n", "\n", ".xr-dim-list:after {\n", " content: ')';\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) float64 4.983 4.902 5.145 ... 5.149 4.996 5.165\n", " centerx (sin_mod_freq) float64 0.0374 0.0353 ... 0.04263 0.04066\n", " centery (sin_mod_freq) float64 0.03876 0.03744 ... 0.04393 0.04201\n", " sigmax (sin_mod_freq) float64 0.0374 0.0353 ... 0.04263 0.04066\n", " sigmay (sin_mod_freq) float64 0.03876 0.03744 ... 0.04393 0.04201\n", " fwhmx (sin_mod_freq) float64 0.08806 0.08313 ... 0.1004 0.09574\n", " fwhmy (sin_mod_freq) float64 0.09127 0.08816 ... 0.1034 0.09892\n", " height (sin_mod_freq) float64 0.04101 0.04209 ... 0.0383 0.03749</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-cac0d698-2d75-429b-a3ca-38fed65cef65' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cac0d698-2d75-429b-a3ca-38fed65cef65' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>sin_mod_freq</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3aa534af-2aca-4001-b652-f387349711a3' class='xr-section-summary-in' type='checkbox' checked><label for='section-3aa534af-2aca-4001-b652-f387349711a3' 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'>sin_mod_freq</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.0 66.0 67.0 ... 99.0 100.0 101.0</div><input id='attrs-c779c951-7e15-4018-b465-7a0d30285dd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c779c951-7e15-4018-b465-7a0d30285dd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01389afa-a2e5-403c-a4a3-288ae7dd7796' class='xr-var-data-in' type='checkbox'><label for='data-01389afa-a2e5-403c-a4a3-288ae7dd7796' 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([ 65., 66., 67., 68., 69., 70., 71., 72., 73., 74., 75., 76.,\n", " 77., 78., 79., 80., 81., 82., 83., 84., 85., 86., 87., 88.,\n", " 89., 90., 91., 92., 93., 94., 95., 96., 97., 98., 99., 100.,\n", " 101.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28d2b246-837b-4cdc-adb9-47eebb2a0260' class='xr-section-summary-in' type='checkbox' checked><label for='section-28d2b246-837b-4cdc-adb9-47eebb2a0260' class='xr-section-summary' >Data variables: <span>(8)</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'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.983 4.902 5.145 ... 4.996 5.165</div><input id='attrs-7ddaa2ed-a5f4-46c4-bc75-c6847fc26932' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ddaa2ed-a5f4-46c4-bc75-c6847fc26932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4653bac4-f020-46db-9bee-ce5793b9b6b4' class='xr-var-data-in' type='checkbox'><label for='data-4653bac4-f020-46db-9bee-ce5793b9b6b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4.98266213, 4.9018281 , 5.14479386, 5.14442997, 4.86529692,\n", " 5.34609263, 5.1097508 , 5.1617247 , 5.69705651, 5.89572879,\n", " 5.78177404, 5.53785205, 5.20287401, 5.39181656, 5.36781952,\n", " 5.39325699, 5.68167692, 5.51096182, 5.51376788, 5.56567199,\n", " 5.45334662, 5.54583049, 5.4727448 , 5.38871563, 5.54963612,\n", " 5.21836749, 5.14053489, 5.34020993, 5.26880024, 5.13042965,\n", " 5.3829478 , 5.07450941, 5.17017526, 5.1489505 , 5.14911231,\n", " 4.99648472, 5.16450928])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centerx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0374 0.0353 ... 0.04263 0.04066</div><input id='attrs-edaebb91-c2f7-4e6e-b1b4-68706f5d6200' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-edaebb91-c2f7-4e6e-b1b4-68706f5d6200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf3be500-3116-4804-ab11-6c5a45d1e5a2' class='xr-var-data-in' type='checkbox'><label for='data-cf3be500-3116-4804-ab11-6c5a45d1e5a2' 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([0.03739685, 0.03530027, 0.03692505, 0.03463122, 0.03803077,\n", " 0.04025705, 0.04514956, 0.05990229, 0.11997833, 0.11419663,\n", " 0.09499302, 0.07874793, 0.05602331, 0.05998719, 0.06949439,\n", " 0.09463008, 0.08007261, 0.10228334, 0.08198005, 0.09420169,\n", " 0.08239179, 0.08656959, 0.0718938 , 0.06194711, 0.07299034,\n", " 0.06271671, 0.05162148, 0.05546782, 0.04742076, 0.04407622,\n", " 0.04616704, 0.04409588, 0.04044664, 0.04091482, 0.04448065,\n", " 0.04262786, 0.04065761])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centery</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03876 0.03744 ... 0.04393 0.04201</div><input id='attrs-b342a352-1401-491f-8bbc-908cfb145283' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b342a352-1401-491f-8bbc-908cfb145283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35a1e03d-229b-48b8-9a7a-37f649774ce6' class='xr-var-data-in' type='checkbox'><label for='data-35a1e03d-229b-48b8-9a7a-37f649774ce6' 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([0.03875935, 0.03743946, 0.03860445, 0.03625476, 0.03956924,\n", " 0.04206379, 0.04607504, 0.06052306, 0.11942617, 0.11397052,\n", " 0.09380765, 0.07923845, 0.05680222, 0.06068179, 0.07003664,\n", " 0.09371249, 0.08020002, 0.10157981, 0.08380485, 0.09469552,\n", " 0.08425091, 0.0865484 , 0.07208946, 0.06275968, 0.0737563 ,\n", " 0.06314083, 0.05240361, 0.05610598, 0.04761736, 0.04510225,\n", " 0.04641279, 0.04591886, 0.0423105 , 0.041822 , 0.04624768,\n", " 0.0439303 , 0.04200607])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmax</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0374 0.0353 ... 0.04263 0.04066</div><input id='attrs-245f2957-a1a4-4bb5-9893-82537a88f854' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-245f2957-a1a4-4bb5-9893-82537a88f854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3c4913c-19eb-4b31-9982-cd5891c41a2e' class='xr-var-data-in' type='checkbox'><label for='data-b3c4913c-19eb-4b31-9982-cd5891c41a2e' 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([0.03739685, 0.03530027, 0.03692505, 0.03463121, 0.03803077,\n", " 0.04025705, 0.04514956, 0.05990229, 0.11997834, 0.11419664,\n", " 0.09499305, 0.07874792, 0.05602331, 0.05998719, 0.06949441,\n", " 0.09463009, 0.08007261, 0.10228335, 0.08198006, 0.0942017 ,\n", " 0.08239179, 0.08656961, 0.07189379, 0.06194711, 0.07299033,\n", " 0.06271671, 0.05162148, 0.05546782, 0.04742077, 0.04407622,\n", " 0.04616705, 0.04409588, 0.04044664, 0.04091483, 0.04448065,\n", " 0.04262786, 0.04065762])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmay</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03876 0.03744 ... 0.04393 0.04201</div><input id='attrs-0135726a-76be-466d-adfc-7f50a7def6ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0135726a-76be-466d-adfc-7f50a7def6ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc92b54c-8286-4461-820b-ed418497e09d' class='xr-var-data-in' type='checkbox'><label for='data-dc92b54c-8286-4461-820b-ed418497e09d' 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([0.03875935, 0.03743946, 0.03860444, 0.03625475, 0.03956923,\n", " 0.04206379, 0.04607504, 0.06052306, 0.11942617, 0.11397049,\n", " 0.09380766, 0.07923845, 0.05680221, 0.06068179, 0.07003661,\n", " 0.09371244, 0.08020001, 0.10157981, 0.08380486, 0.09469553,\n", " 0.0842509 , 0.08654838, 0.07208941, 0.06275966, 0.07375626,\n", " 0.06314083, 0.05240361, 0.05610597, 0.04761734, 0.04510226,\n", " 0.04641279, 0.04591886, 0.04231049, 0.04182199, 0.04624768,\n", " 0.0439303 , 0.04200607])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08806 0.08313 ... 0.1004 0.09574</div><input id='attrs-c7d25169-f854-4556-9ce2-f3d0bdb6e468' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7d25169-f854-4556-9ce2-f3d0bdb6e468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-657a67a5-bc4d-4c91-a9ee-34ccf6935ff1' class='xr-var-data-in' type='checkbox'><label for='data-657a67a5-bc4d-4c91-a9ee-34ccf6935ff1' 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([0.08806284, 0.08312579, 0.08695185, 0.08155028, 0.08955563,\n", " 0.0947981 , 0.10631909, 0.1410591 , 0.28252741, 0.26891253,\n", " 0.22369154, 0.18543718, 0.13192482, 0.14125904, 0.16364682,\n", " 0.22283683, 0.18855659, 0.24085888, 0.19304828, 0.22182804,\n", " 0.19401783, 0.20385584, 0.16929693, 0.1458743 , 0.1718791 ,\n", " 0.14768657, 0.1215593 , 0.13061673, 0.11166738, 0.10379157,\n", " 0.10871508, 0.10383785, 0.09524457, 0.09634705, 0.10474393,\n", " 0.10038094, 0.09574137])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmy</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.09127 0.08816 ... 0.1034 0.09892</div><input id='attrs-08f2b605-675f-4040-a823-c543e1969070' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08f2b605-675f-4040-a823-c543e1969070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bed4eb15-4f5c-4fd8-beec-61a5e3282dfd' class='xr-var-data-in' type='checkbox'><label for='data-bed4eb15-4f5c-4fd8-beec-61a5e3282dfd' 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([0.09127129, 0.08816319, 0.09090652, 0.08537342, 0.09317842,\n", " 0.09905265, 0.10849844, 0.1425209 , 0.28122714, 0.26838 ,\n", " 0.22090016, 0.18659229, 0.13375899, 0.1428947 , 0.16492362,\n", " 0.22067594, 0.18885659, 0.23920217, 0.19734535, 0.22299093,\n", " 0.1983957 , 0.20380585, 0.16975759, 0.1477877 , 0.17368273,\n", " 0.14868529, 0.12340107, 0.13211945, 0.11213027, 0.1062077 ,\n", " 0.10929377, 0.10813065, 0.0996336 , 0.09848326, 0.10890495,\n", " 0.10344794, 0.09891673])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.04101 0.04209 ... 0.0383 0.03749</div><input id='attrs-4009f69a-78a7-40af-bdc0-a8ef70793600' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4009f69a-78a7-40af-bdc0-a8ef70793600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf180fb6-5d4a-432d-9ac1-d5de65f346ce' class='xr-var-data-in' type='checkbox'><label for='data-cf180fb6-5d4a-432d-9ac1-d5de65f346ce' 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([0.0410147 , 0.04208569, 0.04026369, 0.04080119, 0.03901854,\n", " 0.03809403, 0.03727596, 0.03616165, 0.03099311, 0.03304012,\n", " 0.03177254, 0.03492552, 0.03485046, 0.03596079, 0.03484961,\n", " 0.03317852, 0.034123 , 0.0338167 , 0.03261096, 0.0324537 ,\n", " 0.03322293, 0.03242648, 0.03363007, 0.03403604, 0.03363285,\n", " 0.03481384, 0.03592531, 0.03584817, 0.03704872, 0.03707528,\n", " 0.03542401, 0.03793384, 0.0374294 , 0.03691256, 0.03745109,\n", " 0.03830176, 0.03749056])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8dcef1b-1ff1-49e4-810f-2dd69ffd339a' class='xr-section-summary-in' type='checkbox' ><label for='section-d8dcef1b-1ff1-49e4-810f-2dd69ffd339a' 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>sin_mod_freq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99628903-ae7a-49a8-99ac-e32bb8623e5e' class='xr-index-data-in' type='checkbox'/><label for='index-99628903-ae7a-49a8-99ac-e32bb8623e5e' 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([ 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0,\n", " 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0,\n", " 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0,\n", " 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0,\n", " 101.0],\n", " dtype='float64', name='sin_mod_freq'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a547d877-6292-4f5e-ad89-da4c7791d161' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a547d877-6292-4f5e-ad89-da4c7791d161' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) float64 4.983 4.902 5.145 ... 5.149 4.996 5.165\n", " centerx (sin_mod_freq) float64 0.0374 0.0353 ... 0.04263 0.04066\n", " centery (sin_mod_freq) float64 0.03876 0.03744 ... 0.04393 0.04201\n", " sigmax (sin_mod_freq) float64 0.0374 0.0353 ... 0.04263 0.04066\n", " sigmay (sin_mod_freq) float64 0.03876 0.03744 ... 0.04393 0.04201\n", " fwhmx (sin_mod_freq) float64 0.08806 0.08313 ... 0.1004 0.09574\n", " fwhmy (sin_mod_freq) float64 0.09127 0.08816 ... 0.1034 0.09892\n", " height (sin_mod_freq) float64 0.04101 0.04209 ... 0.0383 0.03749" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fitAnalyser.get_fit_std(fitResult)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "</symbol>\n", "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 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0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", " --xr-border-color: #1F1F1F;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", " --xr-background-color-row-odd: #313131;\n", "}\n", "\n", ".xr-wrap {\n", " display: block !important;\n", " min-width: 300px;\n", " max-width: 700px;\n", "}\n", "\n", ".xr-text-repr-fallback {\n", " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", " display: none;\n", "}\n", "\n", ".xr-header {\n", " padding-top: 6px;\n", " padding-bottom: 6px;\n", " margin-bottom: 4px;\n", " border-bottom: solid 1px var(--xr-border-color);\n", "}\n", "\n", ".xr-header > div,\n", ".xr-header > ul {\n", " display: inline;\n", " margin-top: 0;\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-obj-type,\n", ".xr-array-name {\n", " margin-left: 2px;\n", " margin-right: 10px;\n", "}\n", "\n", ".xr-obj-type {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", "}\n", "\n", ".xr-section-item {\n", " display: contents;\n", "}\n", "\n", ".xr-section-item input {\n", " display: none;\n", "}\n", "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", " cursor: pointer;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", "\n", ".xr-section-summary {\n", " grid-column: 1;\n", " color: var(--xr-font-color2);\n", " font-weight: 500;\n", "}\n", "\n", ".xr-section-summary > span {\n", " display: inline-block;\n", " padding-left: 0.5em;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", " content: 'â–º';\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label:before {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", " content: 'â–¼';\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", " display: none;\n", "}\n", "\n", ".xr-section-summary,\n", ".xr-section-inline-details {\n", " padding-top: 4px;\n", " padding-bottom: 4px;\n", "}\n", "\n", ".xr-section-inline-details {\n", " grid-column: 2 / -1;\n", "}\n", "\n", ".xr-section-details {\n", " display: none;\n", " grid-column: 1 / -1;\n", " margin-bottom: 5px;\n", "}\n", "\n", ".xr-section-summary-in:checked ~ .xr-section-details {\n", " display: contents;\n", "}\n", "\n", ".xr-array-wrap {\n", " grid-column: 1 / -1;\n", " display: grid;\n", " grid-template-columns: 20px auto;\n", "}\n", "\n", ".xr-array-wrap > label {\n", " grid-column: 1;\n", " vertical-align: top;\n", "}\n", "\n", ".xr-preview {\n", " color: var(--xr-font-color3);\n", "}\n", "\n", ".xr-array-preview,\n", ".xr-array-data {\n", " padding: 0 5px !important;\n", " grid-column: 2;\n", "}\n", "\n", ".xr-array-data,\n", ".xr-array-in:checked ~ .xr-array-preview {\n", " display: none;\n", "}\n", "\n", ".xr-array-in:checked ~ .xr-array-data,\n", ".xr-array-preview {\n", " display: inline-block;\n", "}\n", "\n", ".xr-dim-list {\n", " display: inline-block !important;\n", " list-style: none;\n", " padding: 0 !important;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list li {\n", " display: inline-block;\n", " padding: 0;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list:before {\n", " content: '(';\n", "}\n", "\n", ".xr-dim-list:after {\n", " content: ')';\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) object 1808+/-5 1824+/-5 ... 1653+/-5 1838+/-5\n", " centerx (sin_mod_freq) object 73.10+/-0.04 ... 73.94+/-0.04\n", " centery (sin_mod_freq) object 102.02+/-0.04 ... 102.56+/-0.04\n", " sigmax (sin_mod_freq) object 13.57+/-0.04 ... 14.47+/-0.04\n", " sigmay (sin_mod_freq) object 14.06+/-0.04 ... 14.95+/-0.04\n", " fwhmx (sin_mod_freq) object 31.95+/-0.09 ... 34.08+/-0.10\n", " fwhmy (sin_mod_freq) object 33.12+/-0.09 ... 35.21+/-0.10\n", " height (sin_mod_freq) object 14.88+/-0.04 ... 13.34+/-0.04</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-894eab8a-1d40-490e-9d18-b1a9f5661d7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-894eab8a-1d40-490e-9d18-b1a9f5661d7a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>sin_mod_freq</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-75eed7c9-9609-436b-9846-fc2e24428fec' class='xr-section-summary-in' type='checkbox' checked><label for='section-75eed7c9-9609-436b-9846-fc2e24428fec' 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'>sin_mod_freq</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.0 66.0 67.0 ... 99.0 100.0 101.0</div><input id='attrs-526a431f-cd92-4d25-98c4-8ac284c61f09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-526a431f-cd92-4d25-98c4-8ac284c61f09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa2ea4c3-100b-45cb-8885-f630d69fccae' class='xr-var-data-in' type='checkbox'><label for='data-aa2ea4c3-100b-45cb-8885-f630d69fccae' 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([ 65., 66., 67., 68., 69., 70., 71., 72., 73., 74., 75., 76.,\n", " 77., 78., 79., 80., 81., 82., 83., 84., 85., 86., 87., 88.,\n", " 89., 90., 91., 92., 93., 94., 95., 96., 97., 98., 99., 100.,\n", " 101.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a99ee18-0de9-4a3f-8b2e-245b35953be0' class='xr-section-summary-in' type='checkbox' checked><label for='section-3a99ee18-0de9-4a3f-8b2e-245b35953be0' class='xr-section-summary' >Data variables: <span>(8)</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'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1808+/-5 1824+/-5 ... 1838+/-5</div><input id='attrs-2a987756-cc4a-4c30-b277-e841b6962784' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a987756-cc4a-4c30-b277-e841b6962784' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e15651d-8b95-4ca8-a4a1-045c659483f7' class='xr-var-data-in' type='checkbox'><label for='data-5e15651d-8b95-4ca8-a4a1-045c659483f7' 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([1807.9352812714108+/-4.982662132541037,\n", " 1823.85154775407+/-4.901828102937968,\n", " 1930.526994462659+/-5.144793857378006,\n", " 2043.2133759591493+/-5.144429970325212,\n", " 1755.2817058652079+/-4.86529691834173,\n", " 1928.9072272722694+/-5.346092633667021,\n", " 1643.9509548864705+/-5.109750803337729,\n", " 1283.654674671457+/-5.1617246974732485,\n", " 808.7283401228694+/-5.697056508272371,\n", " 865.2192927733671+/-5.895728785034902,\n", " 1035.536850335498+/-5.781774039739138,\n", " 1106.4218128703744+/-5.537852048784642,\n", " 1412.3882562391304+/-5.202874010094001,\n", " 1371.4825895492959+/-5.391816564009922,\n", " 1196.8142567708005+/-5.3678195236863235,\n", " 915.1624068883597+/-5.393256988391256,\n", " 1146.6350307865969+/-5.681676915033084,\n", " 865.0284680658392+/-5.510961821839697,\n", " 1084.0821645931596+/-5.513767876755912,\n", " 967.1864074466855+/-5.565671987567326,\n", " 1051.0103509981298+/-5.453346618750489,\n", " 1050.160060457267+/-5.545830491165124,\n", " 1215.4496924647362+/-5.472744803940935,\n", " 1362.914314763412+/-5.38871563145762,\n", " 1217.758357490078+/-5.549636118273387,\n", " 1272.4969758358966+/-5.218367489271,\n", " 1481.7549350788274+/-5.140534890135545,\n", " 1464.345920167834+/-5.340209925672025,\n", " 1657.2560216925572+/-5.26880023524984,\n", " 1696.4924691819663+/-5.130429652113225,\n", " 1796.623789689513+/-5.382947804916028,\n", " 1634.7189916108157+/-5.074509405013973,\n", " 1840.9740051070407+/-5.170175257574056,\n", " 1842.538169066767+/-5.148950503187781,\n", " 1668.3890836530013+/-5.14911231440146,\n", " 1652.7935822839536+/-4.996484716004756,\n", " 1838.3054445911898+/-5.1645092842102125], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centerx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>73.10+/-0.04 ... 73.94+/-0.04</div><input id='attrs-f3770277-1a3d-4dee-84fe-b2696572e392' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3770277-1a3d-4dee-84fe-b2696572e392' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e03cc860-b1fd-4a21-8e53-082884c1c3d1' class='xr-var-data-in' type='checkbox'><label for='data-e03cc860-b1fd-4a21-8e53-082884c1c3d1' 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([73.09504891981685+/-0.037396850843899786,\n", " 74.29616480490488+/-0.03530026573901377,\n", " 72.99174212405437+/-0.03692505314668794,\n", " 74.04348412960547+/-0.034631221056806515,\n", " 73.22260606208776+/-0.03803077217333051,\n", " 74.18857612462642+/-0.040257049047883846,\n", " 72.78553034213337+/-0.045149557482025246,\n", " 74.97292592232597+/-0.059902294648404804,\n", " 73.71314922193328+/-0.119978325212914,\n", " 72.0176879617503+/-0.11419662774435227,\n", " 74.645803526158+/-0.09499302238504567,\n", " 72.19659785409318+/-0.07874792616944704,\n", " 75.62422127845886+/-0.05602331222095948,\n", " 72.47608378462917+/-0.059987190631156734,\n", " 74.50487200177812+/-0.06949439442737751,\n", " 73.11416510596015+/-0.0946300766642044,\n", " 73.66486606016898+/-0.08007260777748927,\n", " 72.66877374594371+/-0.10228334033784599,\n", " 73.70722414562073+/-0.08198005354710461,\n", " 73.66488669941407+/-0.09420169292548253,\n", " 73.39905461616789+/-0.08239179358343209,\n", " 73.72778190423742+/-0.08656959204498607,\n", " 73.47676617581749+/-0.07189379747074462,\n", " 73.88127093983336+/-0.06194710936103844,\n", " 73.0512423338802+/-0.07299033561438083,\n", " 73.6107610907786+/-0.06271671074663257,\n", " 74.44622984418639+/-0.051621482668948705,\n", " 73.64707412048958+/-0.05546781600340132,\n", " 74.68086049145623+/-0.047420757491135564,\n", " 73.38788183970141+/-0.04407621891829975,\n", " 73.82914420096141+/-0.046167044698070384,\n", " 73.54267863233993+/-0.04409587546638506,\n", " 74.76275624723894+/-0.040446642439489214,\n", " 73.73687047199249+/-0.040914824588434165,\n", " 73.43837670134414+/-0.044480653109287005,\n", " 73.3180186748058+/-0.04262786101060659,\n", " 73.93961529084122+/-0.040657614876137206], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>centery</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>102.02+/-0.04 ... 102.56+/-0.04</div><input id='attrs-cfd8b0e2-ff01-42fa-8403-91d56337b634' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cfd8b0e2-ff01-42fa-8403-91d56337b634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9b5868d-34d3-4629-9350-c6a8639362a5' class='xr-var-data-in' type='checkbox'><label for='data-d9b5868d-34d3-4629-9350-c6a8639362a5' 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([102.02065787176446+/-0.03875935360837667,\n", " 101.40658165721067+/-0.03743946020656038,\n", " 102.09392518616498+/-0.03860444799056684,\n", " 102.25438654459214+/-0.03625475884751028,\n", " 102.26701189852484+/-0.03956923706689795,\n", " 102.52475183023932+/-0.04206379046160063,\n", " 102.14063890468991+/-0.0460750429618416,\n", " 102.26768833058534+/-0.060523064815414335,\n", " 102.5735747504943+/-0.11942617427669155,\n", " 102.05818657219392+/-0.11397052419701628,\n", " 102.5193245010779+/-0.09380765446436551,\n", " 101.87012020466427+/-0.07923845352943534,\n", " 102.41939658216964+/-0.05680221613230117,\n", " 103.10524972566515+/-0.06068179055019741,\n", " 102.4814122838628+/-0.07003663597202123,\n", " 102.63252011125154+/-0.09371248895718273,\n", " 102.48212386105973+/-0.08020001687348137,\n", " 101.59476336364582+/-0.1015798123137109,\n", " 102.20244381944985+/-0.08380485227387936,\n", " 102.4378396998888+/-0.09469552494709083,\n", " 102.67450561086073+/-0.08425091006234325,\n", " 102.67557877513744+/-0.08654839745122632,\n", " 101.89233182320508+/-0.07208946326502778,\n", " 102.33627655123132+/-0.06275967796778213,\n", " 102.70081039416783+/-0.07375630011442043,\n", " 102.7244414546981+/-0.06314083331824284,\n", " 101.89323698659102+/-0.052403614967216794,\n", " 102.57296303925237+/-0.05610597615550597,\n", " 102.52276200109449+/-0.04761735525006581,\n", " 102.08813974615472+/-0.04510225443317714,\n", " 102.82408394967328+/-0.046412793659455796,\n", " 101.05807313058507+/-0.045918857127639,\n", " 103.08641642886512+/-0.042310495379330945,\n", " 102.6593913839422+/-0.04182200020917299,\n", " 101.65246632370746+/-0.0462476794898511,\n", " 102.35511603648571+/-0.04393029668411993,\n", " 102.5625536770304+/-0.04200607251326068], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmax</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>13.57+/-0.04 ... 14.47+/-0.04</div><input id='attrs-7663d28b-58d3-4ae4-a972-19b12b1a2a5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7663d28b-58d3-4ae4-a972-19b12b1a2a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4a70ea5-7c12-40f5-a5af-e548f2085907' class='xr-var-data-in' type='checkbox'><label for='data-d4a70ea5-7c12-40f5-a5af-e548f2085907' 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([13.569173504306505+/-0.037396847719753434,\n", " 13.134301774185666+/-0.03530027285274352,\n", " 13.855723020904408+/-0.03692505024051494,\n", " 13.754408548681447+/-0.03463121423827747,\n", " 13.720683001901005+/-0.038030773532425094,\n", " 14.525168743389449+/-0.04025704866808143,\n", " 14.52583428240102+/-0.045149559773349474,\n", " 14.896884706502126+/-0.05990228662109335,\n", " 17.031449164894067+/-0.1199783449482783,\n", " 16.75918136855712+/-0.11419663801157412,\n", " 17.013565131091937+/-0.09499305022154365,\n", " 15.73297017703764+/-0.07874791947403095,\n", " 15.208403424002462+/-0.0560233138860654,\n", " 15.258504084506772+/-0.059987191057218246,\n", " 15.49555383265196+/-0.06949440692627573,\n", " 16.058833752809814+/-0.09463009164895014,\n", " 16.159793263725494+/-0.0800726116032752,\n", " 16.055131756553152+/-0.10228335001836295,\n", " 16.118331072975888+/-0.08198005759381842,\n", " 16.37001507653549+/-0.09420169847030081,\n", " 15.879334736731362+/-0.08239178884498273,\n", " 16.393507159672822+/-0.08656960554653291,\n", " 15.967945912624543+/-0.0718937870158822,\n", " 15.668366688899447+/-0.061947111672037015,\n", " 16.01693446766972+/-0.07299033293205849,\n", " 15.293218786379907+/-0.0627167141051018,\n", " 14.879971557306325+/-0.05162148291168589,\n", " 15.210322518525086+/-0.05546782021883629,\n", " 14.916567325930995+/-0.04742077261807891,\n", " 14.574820830628099+/-0.044076224367750716,\n", " 15.408940353714637+/-0.0461670464784016,\n", " 14.205118741915296+/-0.0440958758861363,\n", " 14.402188355497445+/-0.04044664378364179,\n", " 14.641676503917477+/-0.04091482684494756,\n", " 14.41249798382422+/-0.044480653723043946,\n", " 14.100962028338062+/-0.042627863260911864,\n", " 14.47236549602896+/-0.04065761651283394], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigmay</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>14.06+/-0.04 ... 14.95+/-0.04</div><input id='attrs-82f8ad49-1507-4f9e-8e07-f61178f9a6e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82f8ad49-1507-4f9e-8e07-f61178f9a6e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-677b782a-a725-49d5-8e7e-1e8ed61cfbd3' class='xr-var-data-in' type='checkbox'><label for='data-677b782a-a725-49d5-8e7e-1e8ed61cfbd3' 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([14.063471385960062+/-0.03875934950576456,\n", " 13.92981890299772+/-0.03743946227379337,\n", " 14.485885399190085+/-0.03860444499360111,\n", " 14.399346457572326+/-0.03625475338394724,\n", " 14.275314291868877+/-0.03956923347243963,\n", " 15.176737382879598+/-0.04206378707447388,\n", " 14.823538872250287+/-0.04607504431597218,\n", " 15.051248175031947+/-0.06052305590582919,\n", " 16.9532929975256+/-0.11942617283874755,\n", " 16.72497202040855+/-0.11397049487790552,\n", " 16.801073174049286+/-0.09380766202844636,\n", " 15.83116230365194+/-0.07923845106501783,\n", " 15.419538374924894+/-0.056802213235449886,\n", " 15.435273475864271+/-0.06068179152951895,\n", " 15.614103679244732+/-0.0700366129354111,\n", " 15.900184139453355+/-0.09371244367659479,\n", " 16.185107108451028+/-0.08020001047877354,\n", " 15.9442079491525+/-0.10157980905019252,\n", " 16.477250147560312+/-0.08380485616759545,\n", " 16.45599856565011+/-0.09469553033981885,\n", " 16.237276079141967+/-0.084250898004433,\n", " 16.38777376057195+/-0.08654837771011424,\n", " 16.0087707286694+/-0.07208941153302233,\n", " 15.872417492933067+/-0.06275965962921957,\n", " 16.182796812452068+/-0.07375626395556516,\n", " 15.396265799674268+/-0.06314083177839307,\n", " 15.105170017602152+/-0.05240361084159723,\n", " 15.384238636239676+/-0.05610596667110579,\n", " 14.976138754479786+/-0.04761734373220863,\n", " 14.913830417363938+/-0.04510225676060777,\n", " 15.490664101660112+/-0.046412792906928194,\n", " 14.792523390463542+/-0.04591885911254156,\n", " 15.065542535217219+/-0.04231049398766332,\n", " 14.965081843205327+/-0.0418219896043396,\n", " 14.984753560181455+/-0.046247676858111875,\n", " 14.531720234531237+/-0.04393029804015326,\n", " 14.951641041563711+/-0.04200606644357985], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmx</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>31.95+/-0.09 ... 34.08+/-0.10</div><input id='attrs-c2135620-156f-4e3a-bde0-643ba68708f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2135620-156f-4e3a-bde0-643ba68708f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce561d6-0cfd-48c5-a6c2-f9e13de42420' class='xr-var-data-in' type='checkbox'><label for='data-7ce561d6-0cfd-48c5-a6c2-f9e13de42420' 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([31.952961151411046+/-0.08806284477053719,\n", " 30.92891650388789+/-0.08312578838586394,\n", " 32.627733684086124+/-0.08695184623419695,\n", " 32.38915633860605+/-0.08155027591999983,\n", " 32.309738746536524+/-0.0895556258232886,\n", " 34.20415786030834+/-0.0947981032585882,\n", " 34.20572508488357+/-0.10631908594054404,\n", " 35.07948204456534+/-0.14105910271774877,\n", " 40.10599712247585+/-0.28252740767067386,\n", " 39.46485547030568+/-0.2689125268648788,\n", " 40.063883441997916+/-0.2236915350867087,\n", " 37.04831283229178+/-0.1854371760870019,\n", " 35.81305255090948+/-0.1319248203859211,\n", " 35.93103058827824+/-0.141259036944913,\n", " 36.48924007620549+/-0.16364681973665232,\n", " 37.81566289779161+/-0.22283683219921452,\n", " 38.05340437328607+/-0.1885565870471219,\n", " 37.806945362966495+/-0.24085887956054602,\n", " 37.95576837726508+/-0.1930482790680572,\n", " 38.54843890252731+/-0.2218280429296777,\n", " 37.392975024749745+/-0.19401783255653662,\n", " 38.60375852974076+/-0.20385583876433666,\n", " 37.60163839396653+/-0.1692969282681454,\n", " 36.8961832463542+/-0.14587429753119055,\n", " 37.716997623158015+/-0.17187909579637145,\n", " 36.012777462543134+/-0.1476865731369782,\n", " 35.03965462257608+/-0.12155930076884316,\n", " 35.817571673073246+/-0.13061673228716467,\n", " 35.125831070448825+/-0.11166738395681468,\n", " 34.32107958837966+/-0.10379157437592229,\n", " 36.285280923734305+/-0.10871508444574295,\n", " 33.45049771583698+/-0.10383785017922341,\n", " 33.9145611832925+/-0.09524456529321775,\n", " 34.478512664954955+/-0.09634705216148866,\n", " 33.93883850226895+/-0.1047439329372441,\n", " 33.20522740357104+/-0.10038094487778118,\n", " 34.07981571735892+/-0.09574136893029611], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhmy</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>33.12+/-0.09 ... 35.21+/-0.10</div><input id='attrs-363cf11f-77ba-457f-ab97-7aaf74db0d43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-363cf11f-77ba-457f-ab97-7aaf74db0d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff4b7c6a-02f8-4352-bd02-dc12bf61d215' class='xr-var-data-in' type='checkbox'><label for='data-ff4b7c6a-02f8-4352-bd02-dc12bf61d215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([33.116943689086476+/-0.09127129115155849,\n", " 32.80221614915709+/-0.08816319493395755,\n", " 34.111652655720796+/-0.09090651904514575,\n", " 33.907869025220464+/-0.08537341855330385,\n", " 33.615795600778675+/-0.09317842239760347,\n", " 35.73848472395254+/-0.09905264745430267,\n", " 34.906765807152425+/-0.1084984362622371,\n", " 35.442980227528736+/-0.14252090179848284,\n", " 39.92195341643324+/-0.28122714048812875,\n", " 39.384298613098466+/-0.26838000203170054,\n", " 39.56350313171474+/-0.22090015944414187,\n", " 37.279537615885666+/-0.18659228964664437,\n", " 36.31023735604064+/-0.13375898708306416,\n", " 36.347290686434704+/-0.14289469659641718,\n", " 36.76840362595908+/-0.16492361644268516,\n", " 37.44207161526755+/-0.22067593697796228,\n", " 38.11301392112265+/-0.18885658898111282,\n", " 37.54573976282329+/-0.2392021652334097,\n", " 38.80095819247798+/-0.1973453512180256,\n", " 38.75091454236419+/-0.22299092756298497,\n", " 38.23586245668509+/-0.19839569982989957,\n", " 38.59025740687004+/-0.203805850795976,\n", " 37.69777348728528+/-0.16975758792789278,\n", " 37.376686160708644+/-0.14778770143297712,\n", " 38.10757358989838+/-0.17368272620675895,\n", " 36.25543463038896+/-0.14868529398512134,\n", " 35.5699564608499+/-0.12340107033315005,\n", " 36.227112825389916+/-0.13211945310424864,\n", " 35.26611106182409+/-0.11213027360168085,\n", " 35.11938614341695+/-0.10620769570342516,\n", " 36.47772563987127+/-0.1092937725914777,\n", " 34.83372993033136+/-0.10813064723685459,\n", " 35.476640872780216+/-0.09963359697042247,\n", " 35.24007402601677+/-0.09848325792813946,\n", " 35.28639737858649+/-0.10890495392557194,\n", " 34.21958544267885+/-0.1034479443584277,\n", " 35.20842335749506+/-0.09891672543489384], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(sin_mod_freq)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>14.88+/-0.04 ... 13.34+/-0.04</div><input id='attrs-6b324caf-a714-4940-a708-b92cff6cd27b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b324caf-a714-4940-a708-b92cff6cd27b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e1736f0-0664-4889-b7c1-38b92c922538' class='xr-var-data-in' type='checkbox'><label for='data-0e1736f0-0664-4889-b7c1-38b92c922538' 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([14.881846478060568+/-0.041014704762308826,\n", " 15.658742950611938+/-0.042085694249360636,\n", " 15.108505608926777+/-0.04026369173013211,\n", " 16.20499462577937+/-0.04080119447282727,\n", " 14.076843644603082+/-0.039018536369990066,\n", " 13.744584142449428+/-0.03809403255423364,\n", " 11.992666166551302+/-0.03727596482711554,\n", " 8.992907016926464+/-0.03616164998427754,\n", " 4.399637159573817+/-0.030993112478954518,\n", " 4.848728463464351+/-0.03304011995039604,\n", " 5.6905347073889+/-0.03177254087973001,\n", " 6.977776873662123+/-0.03492551695714294,\n", " 9.460606325912064+/-0.03485045828423297,\n", " 9.147109574214229+/-0.03596078758676632,\n", " 7.770025814451326+/-0.03484960630107405,\n", " 5.629915615179705+/-0.033178524466074305,\n", " 6.886423021088101+/-0.03412300033140615,\n", " 5.308030944838632+/-0.033816697887333255,\n", " 6.411760063346376+/-0.03261095773984154,\n", " 5.639709495924107+/-0.03245369643956646,\n", " 6.4029687784061835+/-0.03322292587191607,\n", " 6.1402143523385275+/-0.032426478891914495,\n", " 7.468782629050527+/-0.033630066224154355,\n", " 8.608383720549918+/-0.03403604052924044,\n", " 7.379858052582905+/-0.03363284835404896,\n", " 8.489113238037195+/-0.03481384338756646,\n", " 10.355439436142177+/-0.03592530946183675,\n", " 9.82990046573795+/-0.035848168513840845,\n", " 11.653079988430191+/-0.037048723369731924,\n", " 12.259686948733842+/-0.037075284989632376,\n", " 11.823177366506883+/-0.03542400772571197,\n", " 12.22013052536784+/-0.03793383964644581,\n", " 13.327671000983392+/-0.037429404726160076,\n", " 13.208894130472325+/-0.03691256379755125,\n", " 12.134680462715613+/-0.037451088980787674,\n", " 12.669886259561324+/-0.03830175577793736,\n", " 13.344710576348463+/-0.037490560189562455], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-682be448-12a2-43b9-a797-b8ad652f47ba' class='xr-section-summary-in' type='checkbox' ><label for='section-682be448-12a2-43b9-a797-b8ad652f47ba' 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>sin_mod_freq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7996c9e-128b-4f85-8d09-a8e68dbedc5f' class='xr-index-data-in' type='checkbox'/><label for='index-d7996c9e-128b-4f85-8d09-a8e68dbedc5f' 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([ 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0,\n", " 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0,\n", " 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0,\n", " 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0,\n", " 101.0],\n", " dtype='float64', name='sin_mod_freq'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb48d7ea-1be3-45d2-a640-d1bd666f23a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb48d7ea-1be3-45d2-a640-d1bd666f23a0' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: (sin_mod_freq: 37)\n", "Coordinates:\n", " * sin_mod_freq (sin_mod_freq) float64 65.0 66.0 67.0 ... 99.0 100.0 101.0\n", "Data variables:\n", " amplitude (sin_mod_freq) object 1808+/-5 1824+/-5 ... 1653+/-5 1838+/-5\n", " centerx (sin_mod_freq) object 73.10+/-0.04 ... 73.94+/-0.04\n", " centery (sin_mod_freq) object 102.02+/-0.04 ... 102.56+/-0.04\n", " sigmax (sin_mod_freq) object 13.57+/-0.04 ... 14.47+/-0.04\n", " sigmay (sin_mod_freq) object 14.06+/-0.04 ... 14.95+/-0.04\n", " fwhmx (sin_mod_freq) object 31.95+/-0.09 ... 34.08+/-0.10\n", " fwhmy (sin_mod_freq) object 33.12+/-0.09 ... 35.21+/-0.10\n", " height (sin_mod_freq) object 14.88+/-0.04 ... 13.34+/-0.04" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fitAnalyser.get_fit_full_result(fitResult)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Get the Ncount" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Calculate the mean and standard deviation" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n", "\n", "Ncount.load()\n", "Ncount_mean = calculate_mean(Ncount)\n", "Ncount_std = calculate_std(Ncount)\n", "Ncount_mean.plot.errorbar(yerr=Ncount_std)\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Do a 1D fit" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<table><tr><th> name </th><th> value </th><th> initial value </th><th> min </th><th> max </th><th> vary </th></tr><tr><td> amplitude </td><td> 1.00000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td></tr><tr><td> center </td><td> 0.00000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td></tr><tr><td> sigma </td><td> 1.00000000 </td><td> None </td><td> -inf </td><td> inf </td><td> True </td></tr></table>" ], "text/plain": [ "Parameters([('amplitude', <Parameter 'amplitude', value=1.0, bounds=[-inf:inf]>), ('center', <Parameter 'center', value=0.0, bounds=[-inf:inf]>), ('sigma', <Parameter 'sigma', value=1.0, bounds=[-inf:inf]>)])" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def gaussian(x, amplitude=1.0, center=0.0, sigma=1.0):\n", " \"\"\"Return a 1-dimensional Gaussian function.\n", "\n", " gaussian(x, amplitude, center, sigma) =\n", " (amplitude/(s2pi*sigma)) * exp(-(1.0*x-center)**2 / (2*sigma**2))\n", "\n", " \"\"\"\n", " return ((amplitude/(max(1e-10, np.sqrt(2*np.pi)*sigma)))\n", " * np.exp(-(1.0*x-center)**2 / max(1e-10, (2*sigma**2))))\n", "\n", "fitModel = NewFitModel(gaussian)\n", "\n", "fitModel.make_params()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fitAnalyser = FitAnalyser(fitModel, fitDim=1)\n", "\n", "params = fitAnalyser.guess(Ncount_mean, x=\"sin_mod_freq\", dask=\"parallelized\")\n", "fitResult = fitAnalyser.fit(Ncount_mean, params, x=\"sin_mod_freq\").load()\n", "\n", "plot_x = np.linspace(Ncount_mean[\"sin_mod_freq\"].min(), Ncount_mean[\"sin_mod_freq\"].max(), 100)\n", "\n", "fitCurve = fitAnalyser.eval(fitResult, x=plot_x, dask=\"parallelized\").load()\n", "\n", "fig = plt.figure()\n", "ax = fig.gca()\n", "\n", "Ncount_mean.plot.errorbar(ax=ax, yerr=Ncount_std)\n", "fitCurve.plot.errorbar(ax=ax, fmt='--g')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "Line plots are for 1- or 2-dimensional DataArrays. Passed DataArray has 3 dimensions", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mf:\\Jianshun\\analyseScript\\Example.ipynb Cell 27\u001b[0m in \u001b[0;36m6\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X34sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m fig \u001b[39m=\u001b[39m plt\u001b[39m.\u001b[39mfigure()\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X34sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m ax \u001b[39m=\u001b[39m fig\u001b[39m.\u001b[39mgca()\n\u001b[1;32m----> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X34sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m plot_dataSe\u001b[39m.\u001b[39;49msel(plot\u001b[39m=\u001b[39;49m[\u001b[39m0\u001b[39;49m, \u001b[39m1\u001b[39;49m])\u001b[39m.\u001b[39;49mplot\u001b[39m.\u001b[39;49merrorbar(ax\u001b[39m=\u001b[39;49max, hue\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mplot\u001b[39;49m\u001b[39m'\u001b[39;49m, x\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mfinal_amp\u001b[39;49m\u001b[39m'\u001b[39;49m, fmt\u001b[39m=\u001b[39;49m[\u001b[39m'\u001b[39;49m\u001b[39mob\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m'\u001b[39;49m\u001b[39m-g\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/Example.ipynb#X34sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m plt\u001b[39m.\u001b[39mshow()\n", "File \u001b[1;32mf:\\Jianshun\\analyseScript\\ToolFunction\\HomeMadeXarrayFunction.py:274\u001b[0m, in \u001b[0;36mdataarray_plot_errorbar\u001b[1;34m(DataArrayPlotAccessor, *args, **kwargs)\u001b[0m\n\u001b[0;32m 273\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdataarray_plot_errorbar\u001b[39m(DataArrayPlotAccessor, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mlist\u001b[39m[Line3D] \u001b[39m|\u001b[39m FacetGrid[DataArray]:\n\u001b[1;32m--> 274\u001b[0m \u001b[39mreturn\u001b[39;00m errorbar(DataArrayPlotAccessor\u001b[39m.\u001b[39m_da, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", "File \u001b[1;32mf:\\Jianshun\\analyseScript\\ToolFunction\\HomeMadeXarrayFunction.py:185\u001b[0m, in \u001b[0;36merrorbar\u001b[1;34m(darray, xerr, yerr, row, col, figsize, aspect, size, ax, hue, x, y, xincrease, yincrease, xscale, yscale, xticks, yticks, xlim, ylim, add_legend, _labels, *args, **kwargs)\u001b[0m\n\u001b[0;32m 183\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mNo numeric data to plot.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 184\u001b[0m \u001b[39mif\u001b[39;00m ndims \u001b[39m>\u001b[39m \u001b[39m2\u001b[39m:\n\u001b[1;32m--> 185\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 186\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mLine plots are for 1- or 2-dimensional DataArrays. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 187\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mPassed DataArray has \u001b[39m\u001b[39m{ndims}\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 188\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mdimensions\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(ndims\u001b[39m=\u001b[39mndims)\n\u001b[0;32m 189\u001b[0m )\n\u001b[0;32m 191\u001b[0m \u001b[39m# The allargs dict passed to _easy_facetgrid above contains args\u001b[39;00m\n\u001b[0;32m 192\u001b[0m \u001b[39mif\u001b[39;00m args \u001b[39m==\u001b[39m ():\n", "\u001b[1;31mValueError\u001b[0m: Line plots are for 1- or 2-dimensional DataArrays. Passed DataArray has 3 dimensions" ] }, { "data": { "image/png": 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"text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fitCurve = fitCurve.rename(dict(x='final_amp'))\n", "plot_dataSe = xr.combine_nested([Ncount_mean, fitCurve], ['plot'])\n", "\n", "fig = plt.figure()\n", "ax = fig.gca()\n", "plot_dataSe.sel(plot=[0, 1]).plot.errorbar(ax=ax, hue='plot', x='final_amp', fmt=['ob', '-g'])\n", "plt.show()\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Select data and remove bad shot" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot_dataSe.where( (Ncount_mean[scanAxis[0]]<2e-4) & (Ncount_mean[scanAxis[0]]>1e-4) )" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.9.13" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2}
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