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{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Import supporting package" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'DataContainer'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mf:\\Jianshun\\analyseScript\\backupScript\\2D-MOT power.ipynb Cell 2\u001b[0m in \u001b[0;36m1\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/backupScript/2D-MOT%20power.ipynb#W1sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39muncertainties\u001b[39;00m \u001b[39mimport\u001b[39;00m umath\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/backupScript/2D-MOT%20power.ipynb#W1sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpyplot\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mplt\u001b[39;00m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/backupScript/2D-MOT%20power.ipynb#W1sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mDataContainer\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mReadData\u001b[39;00m \u001b[39mimport\u001b[39;00m read_hdf5_file\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/backupScript/2D-MOT%20power.ipynb#W1sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mAnalyser\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mImagingAnalyser\u001b[39;00m \u001b[39mimport\u001b[39;00m ImageAnalyser\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/backupScript/2D-MOT%20power.ipynb#W1sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mAnalyser\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mFitAnalyser\u001b[39;00m \u001b[39mimport\u001b[39;00m FitAnalyser\n", "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'DataContainer'" ] } ], "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 ThomasFermi2dModel, DensityProfileBEC2dModel, Polylog22dModel\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()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "\n", "from matplotlib.colors import ListedColormap, LinearSegmentedColormap\n", "\n", "import matplotlib.pyplot as plt\n", "plt.rcParams[\"font.family\"] = \"arial\"" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "def Ncount_to_atoms():\n", " return 1 / 8.4743e-14 / 0.3725 * 5.86e-6**2 / 0.6606**2" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "import csv\n", "\n", "colormap = np.zeros((1024, 3))\n", "\n", "with open('smooth-cool-warm-table-float-1024.csv', newline='') as csvfile:\n", " spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')\n", " i = 0\n", " for row in spamreader:\n", " try:\n", " a = row[0].split(',')\n", " colormap[i, 0] = float(a[1])\n", " colormap[i, 1] = float(a[2])\n", " colormap[i, 2] = float(a[3])\n", " i = i + 1\n", " except:\n", " pass\n", "\n", "colormap = ListedColormap(colormap)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "data_colors = colormap(np.linspace(0, 1, 7))\n", "plot_blue = data_colors[0]\n", "plot_red = data_colors[-1]\n", "plot_red_alpha = 1" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Start a client for parallel computing" ] }, { "cell_type": "code", "execution_count": 12, "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-eb14457e-1720-11ee-8c04-80e82ce2fa8e</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;\">c071fe85</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-d47e28b4-5276-45c0-964e-87f3987b2160</p>\n", " <table style=\"width: 100%; text-align: left;\">\n", " <tr>\n", " <td style=\"text-align: left;\">\n", " <strong>Comm:</strong> tcp://127.0.0.1:54927\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://127.0.0.1:54966\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://127.0.0.1:54967/status\" target=\"_blank\">http://127.0.0.1:54967/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://127.0.0.1:54930\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-cvobjmxg\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://127.0.0.1:54960\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://127.0.0.1:54963/status\" target=\"_blank\">http://127.0.0.1:54963/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://127.0.0.1:54931\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-r0l_epl5\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://127.0.0.1:54965\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://127.0.0.1:54968/status\" target=\"_blank\">http://127.0.0.1:54968/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://127.0.0.1:54932\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-mnfl9i_m\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://127.0.0.1:54954\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://127.0.0.1:54955/status\" target=\"_blank\">http://127.0.0.1:54955/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://127.0.0.1:54933\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-qkxkq62s\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://127.0.0.1:54958\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://127.0.0.1:54961/status\" target=\"_blank\">http://127.0.0.1:54961/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://127.0.0.1:54934\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-zk2j62q_\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://127.0.0.1:54971\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://127.0.0.1:54972/status\" target=\"_blank\">http://127.0.0.1:54972/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://127.0.0.1:54935\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-641vd42d\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://127.0.0.1:54927' processes=6 threads=60, memory=55.88 GiB>" ] }, "execution_count": 12, "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": 13, "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_0\",\n", " \"images/ODT_1_Axis_Camera/in_situ_absorption\": \"camera_1\",\n", " \"images/ODT_2_Axis_Camera/in_situ_absorption\": \"camera_2\",\n", "}\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Old Loading Rate" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "img_dir = '//DyLabNAS/Data/'\n", "SequenceName = \"MOT_3D_Imaging\" + \"/\"" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## With red push" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The detected scaning axes and values are: \n", "\n", "{'final_amp': array([0.16, 0.24, 0.32, 0.4 , 0.48, 0.56, 0.64, 0.72, 0.8 , 0.88, 0.96]), 'mot_load_duration': array([ 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 6. ,\n", " 7. , 8. , 9. , 10. ]), 'runs': array([0., 1., 2.])}\n" ] } ], "source": [ "folderPath = img_dir + SequenceName + '2022/10/14'# get_date()\n", "\n", "shotNum = \"0012\"\n", "filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n", "\n", "dataSetDict = {\n", " dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n", " for i in [0]\n", "}\n", "\n", "dataSet = dataSetDict[\"camera_0\"]\n", "\n", "print_scanAxis(dataSet)\n", "\n", "scanAxis = get_scanAxis(dataSet)\n", "\n", "dataSet = auto_rechunk(dataSet)\n", "\n", "dataSet = imageAnalyser.get_absorption_images(dataSet)\n", "\n", "imageAnalyser.center = (600, 1150)\n", "imageAnalyser.span = (1100, 1260)\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", "Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n", "Ncount_mean = calculate_mean(Ncount)\n", "Ncount_std = calculate_std(Ncount)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "# ax = fig.gca()\n", "Ncount_mean.plot.errorbar(hue='final_amp')\n", "# plt.xlabel('MOT AOM Frequency (MHz)')\n", "# plt.ylabel('MOT Gradient Coil Current (A)')\n", "plt.tight_layout()\n", "# plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = Ncount_mean.sel(final_amp=0.88)\n", "data_std = Ncount_std.sel(final_amp=0.88)\n", "fig = plt.figure()\n", "# ax = fig.gca()\n", "data.plot.errorbar()\n", "# plt.xlabel('MOT AOM Frequency (MHz)')\n", "# plt.ylabel('MOT Gradient Coil Current (A)')\n", "plt.tight_layout()\n", "# plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "def factor_from_Ncounts_to_Natom():\n", " return 1 / (8.474337362524987e-14 * 0.3725) * 5.86e-6**2 / 0.438**2" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def mot_loading(x, A, tau):\n", " return A * (1 - np.exp(-x / tau)) * np.heaviside(x, 0)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "data = data * factor_from_Ncounts_to_Natom()\n", "data_std = data_std * factor_from_Ncounts_to_Natom()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fitModel = NewFitModel(mot_loading)\n", "fitAnalyser = FitAnalyser(fitModel, fitDim=1)\n", "\n", "params = fitAnalyser.fitModel.make_params()\n", "params.add(name=\"A\", value=1e8, max=np.inf, min=-np.inf, vary=True)\n", "params.add(name=\"tau\", value=1, max=np.inf, min=-np.inf, vary=True)\n", "\n", "fitResult = fitAnalyser.fit(data, params, x='mot_load_duration').load()\n", "freqdata = np.linspace(0, 10, 500)\n", "fitCurve = fitAnalyser.eval(fitResult, x=freqdata, dask=\"parallelized\").load()\n", "fitCurve = fitCurve.assign_coords({'x':np.array(freqdata)})\n", "\n", "fig = plt.figure()\n", "ax = fig.gca()\n", "\n", "data.plot.errorbar(ax=ax, yerr = data_std, fmt='ob')\n", "fitCurve.plot.errorbar(ax=ax, fmt='--g')\n", "plt.xlabel('Push AOM Freq (MHz)')\n", "plt.ylabel('NCount')\n", "plt.tight_layout()\n", "plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": 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.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: ()\n", "Coordinates:\n", " final_amp float64 0.88\n", "Data variables:\n", " A float64 3.548e+08\n", " tau float64 2.918</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-306565fe-c794-4807-9d12-42b0a94b6e46' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-306565fe-c794-4807-9d12-42b0a94b6e46' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-df5adb4c-20c8-4566-8e8d-a86a1f0f8f23' class='xr-section-summary-in' type='checkbox' checked><label for='section-df5adb4c-20c8-4566-8e8d-a86a1f0f8f23' 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>final_amp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.88</div><input id='attrs-46e0a84f-98ec-4515-8ae3-f47284f3bb80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46e0a84f-98ec-4515-8ae3-f47284f3bb80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-728f29aa-4c6d-4813-bfb4-f25e88ee19b1' class='xr-var-data-in' type='checkbox'><label for='data-728f29aa-4c6d-4813-bfb4-f25e88ee19b1' 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(0.88)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcc4a974-46bb-4072-8c23-89fa6a78d769' class='xr-section-summary-in' type='checkbox' checked><label for='section-bcc4a974-46bb-4072-8c23-89fa6a78d769' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.548e+08</div><input id='attrs-e952e42d-4ebd-4c1a-8370-88315a4e1039' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e952e42d-4ebd-4c1a-8370-88315a4e1039' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae3e1a27-1db7-44c3-8223-74f1032c0006' class='xr-var-data-in' type='checkbox'><label for='data-ae3e1a27-1db7-44c3-8223-74f1032c0006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(3.54756438e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.918</div><input id='attrs-173f8442-39e3-4477-b976-54be113fe968' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-173f8442-39e3-4477-b976-54be113fe968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16a309d6-1e1c-4753-8138-a305ff297155' class='xr-var-data-in' type='checkbox'><label for='data-16a309d6-1e1c-4753-8138-a305ff297155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(2.91809259)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a1d5298-df4e-4299-8163-fbaa9fb327b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a1d5298-df4e-4299-8163-fbaa9fb327b6' ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: ()\n", "Coordinates:\n", " final_amp float64 0.88\n", "Data variables:\n", " A float64 3.548e+08\n", " tau float64 2.918" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "val = fitAnalyser.get_fit_value(fitResult)\n", "val" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "</symbol>\n", "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "</symbol>\n", "</defs>\n", "</svg>\n", "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", " *\n", " */\n", "\n", ":root {\n", " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", " --xr-background-color: var(--jp-layout-color0, white);\n", " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", "html[theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", " --xr-border-color: #1F1F1F;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", " --xr-background-color-row-odd: #313131;\n", "}\n", "\n", ".xr-wrap {\n", " display: block !important;\n", " min-width: 300px;\n", " max-width: 700px;\n", "}\n", "\n", ".xr-text-repr-fallback {\n", " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", " display: none;\n", "}\n", "\n", ".xr-header {\n", " padding-top: 6px;\n", " padding-bottom: 6px;\n", " margin-bottom: 4px;\n", " border-bottom: solid 1px var(--xr-border-color);\n", "}\n", "\n", ".xr-header > div,\n", ".xr-header > ul {\n", " display: inline;\n", " margin-top: 0;\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-obj-type,\n", ".xr-array-name {\n", " margin-left: 2px;\n", " margin-right: 10px;\n", "}\n", "\n", ".xr-obj-type {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", "}\n", "\n", ".xr-section-item {\n", " display: contents;\n", "}\n", "\n", ".xr-section-item input {\n", " display: none;\n", "}\n", "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", " cursor: pointer;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", "\n", ".xr-section-summary {\n", " grid-column: 1;\n", " color: var(--xr-font-color2);\n", " font-weight: 500;\n", "}\n", "\n", ".xr-section-summary > span {\n", " display: inline-block;\n", " padding-left: 0.5em;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", " content: 'â–º';\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label:before {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", " content: 'â–¼';\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", " display: none;\n", "}\n", "\n", ".xr-section-summary,\n", ".xr-section-inline-details {\n", " padding-top: 4px;\n", " padding-bottom: 4px;\n", "}\n", "\n", ".xr-section-inline-details {\n", " grid-column: 2 / -1;\n", "}\n", "\n", ".xr-section-details {\n", " display: none;\n", " grid-column: 1 / -1;\n", " margin-bottom: 5px;\n", "}\n", "\n", ".xr-section-summary-in:checked ~ .xr-section-details {\n", " display: contents;\n", "}\n", "\n", ".xr-array-wrap {\n", " grid-column: 1 / -1;\n", " display: grid;\n", " grid-template-columns: 20px auto;\n", "}\n", "\n", ".xr-array-wrap > label {\n", " grid-column: 1;\n", " vertical-align: top;\n", "}\n", "\n", ".xr-preview {\n", " color: var(--xr-font-color3);\n", "}\n", "\n", ".xr-array-preview,\n", ".xr-array-data {\n", " padding: 0 5px !important;\n", " grid-column: 2;\n", "}\n", "\n", ".xr-array-data,\n", ".xr-array-in:checked ~ .xr-array-preview {\n", " display: none;\n", "}\n", "\n", ".xr-array-in:checked ~ .xr-array-data,\n", ".xr-array-preview {\n", " display: inline-block;\n", "}\n", "\n", ".xr-dim-list {\n", " display: inline-block !important;\n", " list-style: none;\n", " padding: 0 !important;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list li {\n", " display: inline-block;\n", " padding: 0;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list:before {\n", " content: '(';\n", "}\n", "\n", ".xr-dim-list:after {\n", " content: ')';\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", "Dimensions: ()\n", "Coordinates:\n", " final_amp float64 0.88\n", "Data variables:\n", " A float64 2.776e+06\n", " tau float64 0.05867</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-11c5cd5b-f73f-4855-a7a6-c2f7d26b992b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11c5cd5b-f73f-4855-a7a6-c2f7d26b992b' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9070dfd9-5691-4d56-afbe-ea45a13da857' class='xr-section-summary-in' type='checkbox' checked><label for='section-9070dfd9-5691-4d56-afbe-ea45a13da857' 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>final_amp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.88</div><input id='attrs-5e6f08c9-a13b-414c-8f0e-f69366ce99ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e6f08c9-a13b-414c-8f0e-f69366ce99ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a61baea4-47a3-4bb0-abae-0f21c5b981e7' class='xr-var-data-in' type='checkbox'><label for='data-a61baea4-47a3-4bb0-abae-0f21c5b981e7' 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(0.88)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29c4a383-1ce7-4a2e-a4a8-445563d27ef6' class='xr-section-summary-in' type='checkbox' checked><label for='section-29c4a383-1ce7-4a2e-a4a8-445563d27ef6' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.776e+06</div><input id='attrs-667a112d-177c-4a07-ad4d-8ff370431006' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-667a112d-177c-4a07-ad4d-8ff370431006' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77ad3d5f-cffb-47d3-97fc-ae92496f9a2f' class='xr-var-data-in' type='checkbox'><label for='data-77ad3d5f-cffb-47d3-97fc-ae92496f9a2f' 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(2776453.58029856)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05867</div><input id='attrs-7eddaa69-a7ac-4e0e-9dcc-bc1faf26f824' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eddaa69-a7ac-4e0e-9dcc-bc1faf26f824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3f9db1e-7125-465b-b8b5-3864b935dc4a' class='xr-var-data-in' type='checkbox'><label for='data-b3f9db1e-7125-465b-b8b5-3864b935dc4a' 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(0.05867137)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bdb7c108-f4fe-4ec3-afb5-1b3ba4661daa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bdb7c108-f4fe-4ec3-afb5-1b3ba466 ], "text/plain": [ "<xarray.Dataset>\n", "Dimensions: ()\n", "Coordinates:\n", " final_amp float64 0.88\n", "Data variables:\n", " A float64 2.776e+06\n", " tau float64 0.05867" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "std = fitAnalyser.get_fit_std(fitResult)\n", "std" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; 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".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.DataArray ()>\n", "array(1.2157134383410748+/-0.02622973148346536, dtype=object)\n", "Coordinates:\n", " final_amp float64 0.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5f93dfa3-52ec-495e-92cf-d730bb50a676' class='xr-array-in' type='checkbox' checked><label for='section-5f93dfa3-52ec-495e-92cf-d730bb50a676' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.216+/-0.026</span></div><div class='xr-array-data'><pre>array(1.2157134383410748+/-0.02622973148346536, dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-fa458166-a05a-4e93-858d-3935c8899d5f' class='xr-section-summary-in' type='checkbox' checked><label for='section-fa458166-a05a-4e93-858d-3935c8899d5f' 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>final_amp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.88</div><input id='attrs-3a363972-1acf-477b-87b0-7dd33ed4bbcb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a363972-1acf-477b-87b0-7dd33ed4bbcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6589cbf-4c1c-40d0-9976-2b9ae8db4d3b' class='xr-var-data-in' type='checkbox'><label for='data-f6589cbf-4c1c-40d0-9976-2b9ae8db4d3b' 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(0.88)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41ec6a75-61b8-47c6-80f4-7d80b3e49d40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41ec6a75-61b8-47c6-80f4-7d80b3e49d40' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c2222dfd-faf3-4012-ae97-78b5ac9ee3da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2222dfd-faf3-4012-ae97-78b5ac9ee3da' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.DataArray ()>\n", "array(1.2157134383410748+/-0.02622973148346536, dtype=object)\n", "Coordinates:\n", " final_amp float64 0.88" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res = fitAnalyser.get_fit_full_result(fitResult)\n", "res.A / res.tau / 1e8" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Without push" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The detected scaning axes and values are: \n", "\n", "{'mot_load_duration': array([ 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5,\n", " 6. , 6.5, 7. , 8. , 9. , 10. , 11. , 12. , 13. , 14. , 15. ,\n", " 16. ]), 'runs': array([0., 1.])}\n" ] } ], "source": [ "folderPath = img_dir + SequenceName + '2022/10/11'# get_date()\n", "\n", "shotNum = \"0018\"\n", "filePath = folderPath + \"/\" + shotNum + \"/*.h5\"\n", "\n", "dataSetDict = {\n", " dskey[groupList[i]]: read_hdf5_file(filePath, groupList[i])\n", " for i in [0]\n", "}\n", "\n", "dataSet = dataSetDict[\"camera_0\"]\n", "\n", "print_scanAxis(dataSet)\n", "\n", "scanAxis = get_scanAxis(dataSet)\n", "\n", "dataSet = auto_rechunk(dataSet)\n", "\n", "dataSet = imageAnalyser.get_absorption_images(dataSet)\n", "\n", "imageAnalyser.center = (600, 1125)\n", "imageAnalyser.span = (1100, 1200)\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", "Ncount = imageAnalyser.get_Ncount(dataSet_cropOD)\n", "Ncount_mean = calculate_mean(Ncount)\n", "Ncount_std = calculate_std(Ncount)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "# ax = fig.gca()\n", "Ncount_mean.plot.errorbar()\n", "# plt.xlabel('MOT AOM Frequency (MHz)')\n", "# plt.ylabel('MOT Gradient Coil Current (A)')\n", "plt.tight_layout()\n", "# plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = Ncount_mean\n", "data_std = Ncount_std\n", "fig = plt.figure()\n", "# ax = fig.gca()\n", "data.plot.errorbar()\n", "# plt.xlabel('MOT AOM Frequency (MHz)')\n", "# plt.ylabel('MOT Gradient Coil Current (A)')\n", "plt.tight_layout()\n", "# plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "data = data * factor_from_Ncounts_to_Natom()\n", "data_std = data_std * factor_from_Ncounts_to_Natom()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "<Figure size 640x480 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fitModel = NewFitModel(mot_loading)\n", "fitAnalyser = FitAnalyser(fitModel, fitDim=1)\n", "\n", "params = fitAnalyser.fitModel.make_params()\n", "params.add(name=\"A\", value=1e8, max=np.inf, min=-np.inf, vary=True)\n", "params.add(name=\"tau\", value=1, max=np.inf, min=-np.inf, vary=True)\n", "\n", "fitResult = fitAnalyser.fit(data, params, x='mot_load_duration').load()\n", "freqdata = np.linspace(0, 10, 500)\n", "fitCurve = fitAnalyser.eval(fitResult, x=freqdata, dask=\"parallelized\").load()\n", "fitCurve = fitCurve.assign_coords({'x':np.array(freqdata)})\n", "\n", "fig = plt.figure()\n", "ax = fig.gca()\n", "\n", "data.plot.errorbar(ax=ax, yerr = data_std, fmt='ob')\n", "fitCurve.plot.errorbar(ax=ax, fmt='--g')\n", "plt.xlabel('Push AOM Freq (MHz)')\n", "plt.ylabel('NCount')\n", "plt.tight_layout()\n", "plt.grid(visible=1)\n", "plt.show()" ] }, { "cell_type": 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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: ()\n", "Data variables:\n", " A float64 1.193e+08\n", " tau float64 4.666</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-3e8b8706-d701-41ad-8200-e1caf324ff4f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e8b8706-d701-41ad-8200-e1caf324ff4f' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-48c4bb83-68b0-49be-94ac-b96b366e2a21' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48c4bb83-68b0-49be-94ac-b96b366e2a21' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c2d074f7-2a4c-4728-8200-18cb7daecd27' class='xr-section-summary-in' type='checkbox' checked><label for='section-c2d074f7-2a4c-4728-8200-18cb7daecd27' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.193e+08</div><input id='attrs-d11e30e4-f834-4f05-9d5f-d03a106fad86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d11e30e4-f834-4f05-9d5f-d03a106fad86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdb6f408-a6e6-4edb-8486-2c3ccaaed511' class='xr-var-data-in' type='checkbox'><label for='data-bdb6f408-a6e6-4edb-8486-2c3ccaaed511' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.19289449e+08)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.666</div><input id='attrs-8730b129-dbfe-44dc-87d2-e8279113e974' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8730b129-dbfe-44dc-87d2-e8279113e974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e38aadd-38e6-4f9d-a670-31f988ae90aa' class='xr-var-data-in' type='checkbox'><label for='data-6e38aadd-38e6-4f9d-a670-31f988ae90aa' 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(4.66646868)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e6a306c-69c4-4e2d-a06e-f91190fd01d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0e6a306c-69c4-4e2d-a06e-f91190fd01d3' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7c126d51-7bce-44d7-a8e5-f8285ece4e46' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c126d51-7bce-44d7-a8e5-f8285ece4e46' 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: ()\n", "Data variables:\n", " A float64 1.193e+08\n", " tau float64 4.666" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "val = fitAnalyser.get_fit_value(fitResult)\n", "val" ] }, { "cell_type": "code", "execution_count": 31, "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 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"}\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: ()\n", "Data variables:\n", " A float64 1.591e+06\n", " tau float64 0.1586</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-38c68664-9f21-47e9-ae7b-e2791ad41bc4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-38c68664-9f21-47e9-ae7b-e2791ad41bc4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-15885cae-358f-44e6-b2c7-152bbe3484eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15885cae-358f-44e6-b2c7-152bbe3484eb' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8e6f4849-f4ef-4966-8549-1e26327a3a91' class='xr-section-summary-in' type='checkbox' checked><label for='section-8e6f4849-f4ef-4966-8549-1e26327a3a91' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>A</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.591e+06</div><input id='attrs-f987e1c1-8bbd-4837-aea6-81f1f3631bb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f987e1c1-8bbd-4837-aea6-81f1f3631bb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cea5ed4-cd11-4731-92f1-a9f83e88f20a' class='xr-var-data-in' type='checkbox'><label for='data-2cea5ed4-cd11-4731-92f1-a9f83e88f20a' 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(1591103.66003124)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1586</div><input id='attrs-e050af12-da09-4017-b33d-295dda743e20' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e050af12-da09-4017-b33d-295dda743e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-413af6b2-77de-4114-ab8c-180f8e3f6dad' class='xr-var-data-in' type='checkbox'><label for='data-413af6b2-77de-4114-ab8c-180f8e3f6dad' 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(0.15857749)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-636e37ff-da1b-49df-af26-ab46778e7ee3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-636e37ff-da1b-49df-af26-ab46778e7ee3' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-84a633aa-a33c-4e99-ba4d-8c38d3dadea4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84a633aa-a33c-4e99-ba4d-8c38d3dadea4' 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: ()\n", "Data variables:\n", " A float64 1.591e+06\n", " tau float64 0.1586" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "std = fitAnalyser.get_fit_std(fitResult)\n", "std" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", "<defs>\n", "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", "</symbol>\n", "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", "</symbol>\n", "</defs>\n", "</svg>\n", "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", " *\n", " */\n", "\n", ":root {\n", " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", " --xr-background-color: var(--jp-layout-color0, white);\n", " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", "html[theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", " --xr-border-color: #1F1F1F;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", " --xr-background-color-row-odd: #313131;\n", "}\n", "\n", ".xr-wrap {\n", " display: block !important;\n", " min-width: 300px;\n", " max-width: 700px;\n", "}\n", "\n", ".xr-text-repr-fallback {\n", " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", " display: none;\n", "}\n", "\n", ".xr-header {\n", " padding-top: 6px;\n", " padding-bottom: 6px;\n", " margin-bottom: 4px;\n", " border-bottom: solid 1px var(--xr-border-color);\n", "}\n", "\n", ".xr-header > div,\n", ".xr-header > ul {\n", " display: inline;\n", " margin-top: 0;\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-obj-type,\n", ".xr-array-name {\n", " margin-left: 2px;\n", " margin-right: 10px;\n", "}\n", "\n", ".xr-obj-type {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", "}\n", "\n", ".xr-section-item {\n", " display: contents;\n", "}\n", "\n", ".xr-section-item input {\n", " display: none;\n", "}\n", "\n", ".xr-section-item input + label {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-item input:enabled + label {\n", " cursor: pointer;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", "\n", ".xr-section-summary {\n", " grid-column: 1;\n", " color: var(--xr-font-color2);\n", " font-weight: 500;\n", "}\n", "\n", ".xr-section-summary > span {\n", " display: inline-block;\n", " padding-left: 0.5em;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label {\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", " content: 'â–º';\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", "}\n", "\n", ".xr-section-summary-in:disabled + label:before {\n", " color: var(--xr-disabled-color);\n", "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", " content: 'â–¼';\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", " display: none;\n", "}\n", "\n", ".xr-section-summary,\n", ".xr-section-inline-details {\n", " padding-top: 4px;\n", " padding-bottom: 4px;\n", "}\n", "\n", ".xr-section-inline-details {\n", " grid-column: 2 / -1;\n", "}\n", "\n", ".xr-section-details {\n", " display: none;\n", " grid-column: 1 / -1;\n", " margin-bottom: 5px;\n", "}\n", "\n", ".xr-section-summary-in:checked ~ .xr-section-details {\n", " display: contents;\n", "}\n", "\n", ".xr-array-wrap {\n", " grid-column: 1 / -1;\n", " display: grid;\n", " grid-template-columns: 20px auto;\n", "}\n", "\n", ".xr-array-wrap > label {\n", " grid-column: 1;\n", " vertical-align: top;\n", "}\n", "\n", ".xr-preview {\n", " color: var(--xr-font-color3);\n", "}\n", "\n", ".xr-array-preview,\n", ".xr-array-data {\n", " padding: 0 5px !important;\n", " grid-column: 2;\n", "}\n", "\n", ".xr-array-data,\n", ".xr-array-in:checked ~ .xr-array-preview {\n", " display: none;\n", "}\n", "\n", ".xr-array-in:checked ~ .xr-array-data,\n", ".xr-array-preview {\n", " display: inline-block;\n", "}\n", "\n", ".xr-dim-list {\n", " display: inline-block !important;\n", " list-style: none;\n", " padding: 0 !important;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list li {\n", " display: inline-block;\n", " padding: 0;\n", " margin: 0;\n", "}\n", "\n", ".xr-dim-list:before {\n", " content: '(';\n", "}\n", "\n", ".xr-dim-list:after {\n", " content: ')';\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", " content: ',';\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-has-index {\n", " font-weight: bold;\n", "}\n", "\n", ".xr-var-list,\n", ".xr-var-item {\n", " display: contents;\n", "}\n", "\n", ".xr-var-item > div,\n", ".xr-var-item label,\n", ".xr-var-item > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-even);\n", " margin-bottom: 0;\n", "}\n", "\n", ".xr-var-item > .xr-var-name:hover span {\n", " padding-right: 5px;\n", "}\n", "\n", ".xr-var-list > li:nth-child(odd) > div,\n", ".xr-var-list > li:nth-child(odd) > label,\n", ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", " background-color: var(--xr-background-color-row-odd);\n", "}\n", "\n", ".xr-var-name {\n", " grid-column: 1;\n", "}\n", "\n", ".xr-var-dims {\n", " grid-column: 2;\n", "}\n", "\n", ".xr-var-dtype {\n", " grid-column: 3;\n", " text-align: right;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-preview {\n", " grid-column: 4;\n", "}\n", "\n", ".xr-index-preview {\n", " grid-column: 2 / 5;\n", " color: var(--xr-font-color2);\n", "}\n", "\n", ".xr-var-name,\n", ".xr-var-dims,\n", ".xr-var-dtype,\n", ".xr-preview,\n", ".xr-attrs dt {\n", " white-space: nowrap;\n", " overflow: hidden;\n", " text-overflow: ellipsis;\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-var-name:hover,\n", ".xr-var-dims:hover,\n", ".xr-var-dtype:hover,\n", ".xr-attrs dt:hover {\n", " overflow: visible;\n", " width: auto;\n", " z-index: 1;\n", "}\n", "\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " display: none;\n", " background-color: var(--xr-background-color) !important;\n", " padding-bottom: 5px !important;\n", "}\n", "\n", ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", ".xr-var-data-in:checked ~ .xr-var-data,\n", ".xr-index-data-in:checked ~ .xr-index-data {\n", " display: block;\n", "}\n", "\n", ".xr-var-data > table {\n", " float: right;\n", "}\n", "\n", ".xr-var-name span,\n", ".xr-var-data,\n", ".xr-index-name div,\n", ".xr-index-data,\n", ".xr-attrs {\n", " padding-left: 25px !important;\n", "}\n", "\n", ".xr-attrs,\n", ".xr-var-attrs,\n", ".xr-var-data,\n", ".xr-index-data {\n", " grid-column: 1 / -1;\n", "}\n", "\n", "dl.xr-attrs {\n", " padding: 0;\n", " margin: 0;\n", " display: grid;\n", " grid-template-columns: 125px auto;\n", "}\n", "\n", ".xr-attrs dt,\n", ".xr-attrs dd {\n", " padding: 0;\n", " margin: 0;\n", " float: left;\n", " padding-right: 10px;\n", " width: auto;\n", "}\n", "\n", ".xr-attrs dt {\n", " font-weight: normal;\n", " grid-column: 1;\n", "}\n", "\n", ".xr-attrs dt:hover span {\n", " display: inline-block;\n", " background: var(--xr-background-color);\n", " padding-right: 10px;\n", "}\n", "\n", ".xr-attrs dd {\n", " grid-column: 2;\n", " white-space: pre-wrap;\n", " word-break: break-all;\n", "}\n", "\n", ".xr-icon-database,\n", ".xr-icon-file-text2,\n", ".xr-no-icon {\n", " display: inline-block;\n", " vertical-align: middle;\n", " width: 1em;\n", " height: 1.5em !important;\n", " stroke-width: 0;\n", " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", "</style><pre class='xr-text-repr-fallback'><xarray.DataArray ()>\n", "array(0.2556310933363963+/-0.009332131323758952, dtype=object)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0f74fa61-81d9-43b3-8dfa-efeee1be9233' class='xr-array-in' type='checkbox' checked><label for='section-0f74fa61-81d9-43b3-8dfa-efeee1be9233' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.256+/-0.009</span></div><div class='xr-array-data'><pre>array(0.2556310933363963+/-0.009332131323758952, dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-c5825fc5-54fe-44a0-94bf-b6406a837c7f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5825fc5-54fe-44a0-94bf-b6406a837c7f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-596126cf-96e8-460c-b70b-6f0af94bbaef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-596126cf-96e8-460c-b70b-6f0af94bbaef' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8562ca1f-db6a-4c04-acc5-429ba0b0bb3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8562ca1f-db6a-4c04-acc5-429ba0b0bb3a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>" ], "text/plain": [ "<xarray.DataArray ()>\n", "array(0.2556310933363963+/-0.009332131323758952, dtype=object)" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res = fitAnalyser.get_fit_full_result(fitResult)\n", "res.A / res.tau / 1e8" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Loading rate" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "img_dir = '//DyLabNAS/Data/'\n", "SequenceName = \"Repetition_scan\" + \"/\"" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2492.803132748206" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Ncount_to_atoms()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "powers = [150, 200, 250, 300, 350, 400]\n", "ncounts_withpush = np.array([5072.7, 9171.8, 16721.7, 23160.8, 27965.0, 32395.8]) * Ncount_to_atoms()\n", "ncount_withpush_errors = np.array([80.7, 146.9, 142.1, 514.9, 433.6, 631.2]) * Ncount_to_atoms()\n", "\n", "ncounts_withoutpush = np.array([629.0, 1567.6, 3063.7, 4426.5, 4755.4, 4920.9]) * Ncount_to_atoms()\n", "ncount_withoutpush_errors = np.array([22.9, 53.8, 79.9, 63.7, 191.5, 190.9]) * Ncount_to_atoms()\n", "\n", "sat_ncount_withpush = np.array([23921.7, 39196.8, 60078.6, 75443.0, 84752.0, 91294.0]) * Ncount_to_atoms()\n", "sat_ncount_withpush_errors = np.array([88.3, 138.8, 89.0, 278.0, 210.1, 355.1]) * Ncount_to_atoms()\n", "\n", "sat_ncount_withoutpush = np.array([4224.1, 9672.3, 17949.6, 24080.9, 25218.2, 26968.5]) * Ncount_to_atoms()\n", "sat_ncount_withoutpush_errors = np.array([37.5, 77.2, 105.9, 75.3, 217.6, 265.0]) * Ncount_to_atoms()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[1.50000000e+02, 2.00000000e+02, 2.50000000e+02, 3.00000000e+02,\n", " 3.50000000e+02, 4.00000000e+02],\n", " [1.26452425e+07, 2.28634918e+07, 4.16839061e+07, 5.77353148e+07,\n", " 6.97112396e+07, 8.07563517e+07],\n", " [1.26452425e+07, 2.28634918e+07, 4.16839061e+07, 5.77353148e+07,\n", " 6.97112396e+07, 8.07563517e+07]])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.array([powers, ncounts_withpush, ncounts_withpush])" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "np.savetxt('loading_rate_withpush.txt', \n", " np.array([powers, ncounts_withpush, ncount_withpush_errors]),\n", " )" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "np.savetxt('loading_rate_withoutpush.txt', \n", " np.array([powers, ncounts_withoutpush, ncount_withoutpush_errors]),\n", " )" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "np.savetxt('sat_ncount_withpush.txt', \n", " np.array([powers, sat_ncount_withpush, sat_ncount_withpush_errors]),\n", " )" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "np.savetxt('sat_ncount_withoutpush.txt', \n", " np.array([powers, sat_ncount_withoutpush, sat_ncount_withoutpush_errors]),\n", " )" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "np.savetxt('old_loading_rate_withpush.txt', \n", " np.array([[430], [1.2157134383410748e8], [0.02622973148346536e8]]),\n", " )" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "np.savetxt('old_loading_rate_withoutpush.txt', \n", " np.array([[430], [0.2556310933363963e8], [0.009332131323758952e8]]),\n", " )" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "np.savetxt('old_sat_ncount_withpush.txt', \n", " np.array([[430], [3.54756438e8], [2776453.58029856]]),\n", " )" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "np.savetxt('old_sat_ncount_withoutpush.txt', \n", " np.array([[430], [1.19289449e8], [1591103.66003124]]),\n", " )" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot_axes.errorbar([430], [1.2157134383410748e8], yerr=[0.02622973148346536e8], color=plot_red, marker='^', **plot_kwarg)\n", "plot_axes.errorbar([430], [0.2556310933363963e8], yerr=[0.009332131323758952e8], color='k', marker='*', markersize=15)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot_axes.errorbar([430], [3.54756438], yerr=[2776453.58029856/1e8], color=plot_red, marker='^', **plot_kwarg)\n", "plot_axes.errorbar([430], [1.19289449], yerr=[1591103.66003124/1e8], color=\"k\", marker='*', markersize=15)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## V1" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 816x1615.68 with 4 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(6.8, 6.8/4*3*2*(1 + 16/50)), dpi=120)\n", "grid = fig.add_gridspec(4, 1, height_ratios=[2, 50, 10, 50], wspace=0.4, hspace=0.1)\n", "\n", "######################\n", "# fig.a\n", "######################\n", "\n", "plot_axes = plt.subplot(grid[1, 0])\n", "\n", "plot_kwarg = {\n", " # 'fmt': 'o',\n", " \n", " # Style of line\n", " 'linestyle': 'None',\n", " 'linewidth': 2,\n", " \n", " # Style of markder\n", " # 'marker': '.',\n", " 'markersize': 5,\n", " # 'markerfacecolor': plot_blue,\n", " # 'markeredgecolor': plot_blue,\n", " 'markeredgewidth': 4,\n", " \n", " # Style of errorbar\n", " 'capsize': 0,\n", " # 'ecolor': plot_blue, # color of errorbar line\n", " 'capthick': 1.5,\n", " 'elinewidth': 3,\n", " \n", " # text for legend\n", " 'label': 'Experiment',\n", " }\n", "\n", "\n", "# 1.2157134383410748+/-0.02622973148346536\n", "# 0.2556310933363963+/-0.009332131323758952\n", "\n", "plot_axes.errorbar(powers, ncounts_withpush, yerr=ncount_withpush_errors, color=plot_red, marker='o', **plot_kwarg)\n", "plot_axes.errorbar(powers, ncounts_withoutpush, yerr=ncount_withoutpush_errors, color=\"k\", marker='s', **plot_kwarg)\n", "plot_axes.errorbar([430], [1.2157134383410748e8], yerr=[0.02622973148346536e8], color=plot_red, marker='^', **plot_kwarg)\n", "plot_axes.errorbar([430], [0.2556310933363963e8], yerr=[0.009332131323758952e8], color='k', marker='*', markersize=15)\n", "\n", "plot_axes.set_xlabel(\"2D-MOT power $P_\\mathrm{2D}$ (mW)\", fontsize=20)\n", "plot_axes.set_ylabel(\"Loading rate $\\Phi_\\mathrm{3D}$ (atoms/s)\", fontsize=20)\n", "\n", "plot_axes.tick_params(axis='both', which='major', labelsize=20)\n", "plot_axes.tick_params(axis='both', which='minor', labelsize=16)\n", "plot_axes.xaxis.offsetText.set_fontsize(20)\n", "plot_axes.yaxis.offsetText.set_fontsize(20)\n", "\n", "plt.setp(plot_axes.spines.values(), linewidth=3)\n", "plot_axes.xaxis.set_tick_params(width=3)\n", "plot_axes.yaxis.set_tick_params(width=3)\n", "plot_axes.tick_params(direction='in', length=10)\n", "\n", "if np.max(plot_axes.get_xticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='sci', useMathText=True)\n", "if np.max(plot_axes.get_yticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='sci', useMathText=True)\n", "\n", "# plot_axes.set_ylim([-0.1e8, 9e7])\n", "\n", "######################\n", "\n", "plot_axes.legend( [\"with red push\", \"without push\"],\n", " fontsize=20, loc = 'lower right', bbox_to_anchor=(0.1, 0.7, 0.5, 0.5), shadow=False, \n", " facecolor='white', framealpha=1, edgecolor='gray')\n", "\n", "######################\n", "\n", "######################\n", "# fig.b\n", "######################\n", "\n", "plot_axes = plt.subplot(grid[3, 0])\n", "\n", "plot_kwarg = {\n", " # 'fmt': 'o',\n", " \n", " # Style of line\n", " 'linestyle': 'None',\n", " 'linewidth': 2,\n", " \n", " # Style of markder\n", " # 'marker': '.',\n", " 'markersize': 5,\n", " # 'markerfacecolor': plot_blue,\n", " # 'markeredgecolor': plot_blue,\n", " 'markeredgewidth': 4,\n", " \n", " # Style of errorbar\n", " 'capsize': 0,\n", " # 'ecolor': plot_blue, # color of errorbar line\n", " 'capthick': 1.5,\n", " 'elinewidth': 3,\n", " \n", " # text for legend\n", " # 'label': 'Experiment',\n", " }\n", "\n", "plot_axes.errorbar([430], [3.54756438], yerr=[2776453.58029856/1e8], color=plot_red, marker='^', **plot_kwarg)\n", "plot_axes.errorbar([430], [1.19289449], yerr=[1591103.66003124/1e8], color=\"k\", marker='*', markersize=15)\n", "\n", "plot_axes.errorbar(powers, sat_ncount_withpush / 1e8, yerr=sat_ncount_withpush_errors / 1e8, color=plot_red, marker='o', **plot_kwarg)\n", "plot_axes.errorbar(powers, sat_ncount_withoutpush / 1e8, yerr=sat_ncount_withoutpush_errors / 1e8, color=\"k\", marker='s', **plot_kwarg)\n", "\n", "plot_axes.set_xlabel(\"2D-MOT power $P_\\mathrm{2D}$ (mW)\", fontsize=20)\n", "plot_axes.set_ylabel(\"Saturation atom $N_\\mathrm{sat}$ $(10^8)$\", fontsize=20)\n", "\n", "plot_axes.tick_params(axis='both', which='major', labelsize=20)\n", "plot_axes.tick_params(axis='both', which='minor', labelsize=16)\n", "plot_axes.xaxis.offsetText.set_fontsize(20)\n", "plot_axes.yaxis.offsetText.set_fontsize(20)\n", "\n", "plt.setp(plot_axes.spines.values(), linewidth=3)\n", "plot_axes.xaxis.set_tick_params(width=3)\n", "plot_axes.yaxis.set_tick_params(width=3)\n", "plot_axes.tick_params(direction='in', length=10)\n", "\n", "if np.max(plot_axes.get_xticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='sci', useMathText=True)\n", "if np.max(plot_axes.get_yticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='sci', useMathText=True)\n", "\n", "plot_axes.set_ylim([0, 4])\n", "\n", "plt.setp(plot_axes.get_yticklabels()[0], visible=False)\n", "\n", "######################################\n", "\n", "plot_axes = plt.subplot(grid[0, 0])\n", "plot_axes.text(-0.17, 0.8, '(a)', va='bottom', fontsize=20)\n", "plot_axes.set_axis_off()\n", "\n", "plot_axes = plt.subplot(grid[2, 0])\n", "plot_axes.text(-0.17, 0.1, '(b)', va='bottom', fontsize=20)\n", "plot_axes.set_axis_off()\n", "\n", "fig.savefig('figS1_v2.pdf', bbox_inches = \"tight\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## V2" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "def curve(A, P0, Psat, x):\n", " return A*(1-np.exp(-(x-P0)/Psat))" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 960x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 6), dpi=120)\n", "\n", "plot_axes = fig.gca()\n", "\n", "plot_kwarg = {\n", " # 'fmt': 'o',\n", " \n", " # Style of line\n", " 'linestyle': 'None',\n", " 'linewidth': 2,\n", " \n", " # Style of markder\n", " # 'marker': '.',\n", " 'markersize': 5,\n", " # 'markerfacecolor': plot_blue,\n", " # 'markeredgecolor': plot_blue,\n", " 'markeredgewidth': 4,\n", " \n", " # Style of errorbar\n", " 'capsize': 0,\n", " # 'ecolor': plot_blue, # color of errorbar line\n", " 'capthick': 1.5,\n", " 'elinewidth': 3,\n", " \n", " # text for legend\n", " 'label': 'Experiment',\n", " }\n", "\n", "\n", "# 1.2157134383410748+/-0.02622973148346536\n", "# 0.2556310933363963+/-0.009332131323758952\n", "\n", "Nmax = np.max(ncounts_withpush)\n", "plot_axes.errorbar(powers, ncounts_withpush / Nmax, yerr=ncount_withpush_errors / Nmax, color=plot_red, marker='^', **plot_kwarg)\n", "\n", "Nmax = np.max(sat_ncount_withpush)\n", "plot_axes.errorbar(powers, sat_ncount_withpush / Nmax, yerr=sat_ncount_withpush_errors / Nmax, color=plot_blue, marker='o', **plot_kwarg)\n", "\n", "x = np.linspace(100, 550, 1000)\n", "fit_line = curve(1.422, 105.9, 234.2, x)\n", "plot_axes.errorbar(x, fit_line, color=plot_blue, fmt='--')\n", "\n", "x = np.linspace(100, 550, 1000)\n", "fit_line = curve(3.843, 117.4, 923.4, x)\n", "plot_axes.errorbar(x, fit_line, color=plot_red, fmt='--')\n", "\n", "plot_axes.set_xlim([50, 550])\n", "plot_axes.set_ylim([-0, 1.6])\n", "\n", "plot_axes.set_xlabel(\"2D-MOT power $P_\\mathrm{2D}$ (mW)\", fontsize=20)\n", "plot_axes.set_ylabel(\"Relative performance\", fontsize=20)\n", "\n", "plot_axes.tick_params(axis='both', which='major', labelsize=20)\n", "plot_axes.tick_params(axis='both', which='minor', labelsize=16)\n", "plot_axes.xaxis.offsetText.set_fontsize(20)\n", "plot_axes.yaxis.offsetText.set_fontsize(20)\n", "\n", "plt.setp(plot_axes.spines.values(), linewidth=3)\n", "plot_axes.xaxis.set_tick_params(width=3)\n", "plot_axes.yaxis.set_tick_params(width=3)\n", "plot_axes.tick_params(direction='in', length=10)\n", "\n", "if np.max(plot_axes.get_xticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='sci', useMathText=True)\n", "if np.max(plot_axes.get_yticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='sci', useMathText=True)\n", "\n", "plt.setp(plot_axes.get_xticklabels()[0], visible=False)\n", "plt.setp(plot_axes.get_yticklabels()[0], visible=False)\n", "\n", "plot_axes.legend( [\"$\\Phi_\\mathrm{3D}/\\Phi_\\mathrm{3D}^{400}$\", \"$N_\\mathrm{sat}/N_\\mathrm{sat}^{400}$\"],\n", " fontsize=20, loc = 'lower right', bbox_to_anchor=(-0.07, 0.7, 0.5, 0.5), shadow=False, \n", " facecolor='white', framealpha=1, edgecolor='gray')\n", "\n", "fig.savefig('figS1_v3.pdf', bbox_inches = \"tight\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1.26452425, 2.28634918, 4.16839061, 5.77353148, 6.97112396,\n", " 8.07563517])" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ncounts_withpush/1e7" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.02011692, 0.03661928, 0.03542273, 0.12835443, 0.10808794,\n", " 0.15734573])" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ncount_withpush_errors/1e7" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.59632089, 0.97709906, 1.49764122, 1.88064547, 2.11270051,\n", " 2.27577969])" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sat_ncount_withpush/1e8" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.00220115, 0.00346001, 0.00221859, 0.00692999, 0.00523738,\n", " 0.00885194])" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sat_ncount_withpush_errors/1e8" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## V3" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def curve(A, P0, Psat, x):\n", " return A*(1-np.exp(-(x-P0)/Psat))" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": "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 "text/plain": [ "<Figure size 960x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 6), dpi=120)\n", "\n", "plot_axes = fig.gca()\n", "\n", "plot_kwarg = {\n", " # 'fmt': 'o',\n", " \n", " # Style of line\n", " 'linestyle': 'None',\n", " 'linewidth': 2,\n", " \n", " # Style of markder\n", " # 'marker': '.',\n", " 'markersize': 5,\n", " # 'markerfacecolor': plot_blue,\n", " # 'markeredgecolor': plot_blue,\n", " 'markeredgewidth': 4,\n", " \n", " # Style of errorbar\n", " 'capsize': 0,\n", " # 'ecolor': plot_blue, # color of errorbar line\n", " 'capthick': 1.5,\n", " 'elinewidth': 3,\n", " \n", " # text for legend\n", " 'label': 'Experiment',\n", " }\n", "\n", "\n", "# 1.2157134383410748+/-0.02622973148346536\n", "# 0.2556310933363963+/-0.009332131323758952\n", "\n", "Nmax = np.max(ncounts_withpush)\n", "plot_axes.errorbar(powers, ncounts_withpush / Nmax, yerr=ncount_withpush_errors / Nmax, color=plot_red, marker='^', **plot_kwarg)\n", "\n", "Nmax = np.max(sat_ncount_withpush)\n", "plot_axes.errorbar(powers, sat_ncount_withpush / Nmax, yerr=sat_ncount_withpush_errors / Nmax, color=plot_blue, marker='o', **plot_kwarg)\n", "\n", "x = np.linspace(90, 450, 1000)\n", "fit_line = curve(1.422, 105.9, 234.2, x)\n", "plot_axes.errorbar(x, fit_line, color=plot_blue, fmt='--')\n", "\n", "x = np.linspace(90, 450, 1000)\n", "fit_line = curve(3.843, 117.4, 923.4, x)\n", "plot_axes.errorbar(x, fit_line, color=plot_red, fmt='--')\n", "\n", "plot_axes.set_xlim([90, 450])\n", "plot_axes.set_ylim([-0, 1.2])\n", "\n", "plot_axes.set_xlabel(\"2D-MOT power $P_\\mathrm{2D}$ (mW)\", fontsize=20)\n", "plot_axes.set_ylabel(\"Relative performance\", fontsize=20)\n", "\n", "plot_axes.tick_params(axis='both', which='major', labelsize=20)\n", "plot_axes.tick_params(axis='both', which='minor', labelsize=16)\n", "plot_axes.xaxis.offsetText.set_fontsize(20)\n", "plot_axes.yaxis.offsetText.set_fontsize(20)\n", "\n", "plt.setp(plot_axes.spines.values(), linewidth=3)\n", "plot_axes.xaxis.set_tick_params(width=3)\n", "plot_axes.yaxis.set_tick_params(width=3)\n", "plot_axes.tick_params(direction='in', length=10)\n", "\n", "if np.max(plot_axes.get_xticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='x', style='sci', useMathText=True)\n", "if np.max(plot_axes.get_yticks()) < 1000:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='plain', useMathText=True)\n", "else:\n", " plot_axes.ticklabel_format(scilimits=(0, 0), axis='y', style='sci', useMathText=True)\n", "\n", "# plt.setp(plot_axes.get_xticklabels()[0], visible=False)\n", "# plt.setp(plot_axes.get_yticklabels()[0], visible=False)\n", "\n", "plot_axes.legend( [\"$\\Phi_\\mathrm{3D}/\\Phi_\\mathrm{3D}^{400}$\", \"$N_\\mathrm{sat}/N_\\mathrm{sat}^{400}$\"],\n", " fontsize=20, loc = 'lower right', bbox_to_anchor=(-0.07, 0.7, 0.5, 0.5), shadow=False, \n", " facecolor='white', framealpha=1, edgecolor='gray')\n", "\n", "fig.savefig('figS1_v5.pdf', bbox_inches = \"tight\")\n", "\n", "plt.show()" ] }, { "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": "3.9.12" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2}
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