examples/default_cwodmr.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0ccdea74",
   "metadata": {},
   "source": [
    "# Continuous Wave ODMR\n",
    "\n",
    "A code that executes CWODMR using the CWODMR experiment class in qt3utils.\n",
    "\n",
    "This code has been testing in the QT3 lab as of Mar 29, 2023. It should work on similar setups that \n",
    "utilize supported NiDAQ cards for TTL edge counting (where TTL signals are produced by photon detection), \n",
    "a SpinCore PulseBlaster for TTL pulses that \n",
    "control an AOM for laser control, a swtich for MW pulses and provide clock and trigger signals to the \n",
    "NiDAQ, and a Windfreak RF Synthesizer to generate the MW source.\n",
    "\n",
    "The code in this notebook is organized as follows\n",
    "\n",
    "1. Import the necessary Python packages for data acquisition and plotting\n",
    "2. Create necessary hardware control objects\n",
    "3. Create the CWODMR experiment object\n",
    "4. Run the experiment\n",
    "5. Display the ODMR spectrum\n",
    "\n",
    "More details of experiment classes in qt3utils [can be found here](../docs/ExperimentsDoc.md)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08c80080",
   "metadata": {},
   "source": [
    "# Import Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "06cc3379",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Jupyter magic functions are useful during development, but are not necessary. You may comment these out if desired.\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "caa78e0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import logging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5af68521",
   "metadata": {},
   "outputs": [],
   "source": [
    "import qt3utils.experiments.cwodmr\n",
    "from qt3utils.pulsers.pulseblaster import PulseBlasterCWODMR\n",
    "import qt3utils.nidaq\n",
    "import qt3rfsynthcontrol"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7220289b",
   "metadata": {},
   "source": [
    "Should you encounter bugs or problems, please report the version number of the qt3utils package with your Issue. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "25cca5c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0.3.dev0\n"
     ]
    }
   ],
   "source": [
    "import qt3utils\n",
    "print(qt3utils.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "274d5026",
   "metadata": {},
   "source": [
    "### Set Logging Levels\n",
    "\n",
    "This controls output print statements, which can be useful for debugging and knowing that scans are running"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6fff699b",
   "metadata": {},
   "outputs": [],
   "source": [
    "logging.basicConfig(level=logging.WARNING)\n",
    "qt3utils.experiments.cwodmr.logger.setLevel(logging.INFO)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "082bb509",
   "metadata": {},
   "source": [
    "# Create objects to control the hardware\n",
    "\n",
    "We need\n",
    "* `qt3rfsynthcontrol` to control Windfreak RF Generator\n",
    "* `PulseBlasterCWODMR` object to control PulseBlaster TTL\n",
    "* `nidaq.EdgeCounter` to configure NiDAQ card."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51300e68",
   "metadata": {},
   "source": [
    "#### RF Generator\n",
    "\n",
    "The Windfreak RF generator is connected via USB. You must first determine the name of the USB port the Windfreak device is connected to. Then create an object with that USB port name. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f78af38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['COM3',\n",
       "  'Intel(R) Active Management Technology - SOL (COM3)',\n",
       "  'PCI\\\\VEN_8086&DEV_43E3&SUBSYS_0A541028&REV_11\\\\3&11583659&1&B3'],\n",
       " ['COM5',\n",
       "  'USB Serial Device (COM5)',\n",
       "  'USB VID:PID=0483:A3E5 SER=206A36705430 LOCATION=1-9:x.0'],\n",
       " ['COM6',\n",
       "  'piezojena NV40/3CL USB (COM6)',\n",
       "  'USB VID:PID=0403:D161 SER=714151A'],\n",
       " ['COM7',\n",
       "  'USB Serial Device (COM7)',\n",
       "  'USB VID:PID=239A:8014 SER=3B0D07C25831555020312E341A3214FF LOCATION=1-5:x.0'],\n",
       " ['COM8', 'USB Serial Port (COM8)', 'USB VID:PID=0647:0100 SER=22062107A']]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qt3rfsynthcontrol.discover_devices()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b374e5fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "rfsynth = qt3rfsynthcontrol.QT3SynthHD('COM5')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eba013f4",
   "metadata": {},
   "source": [
    "#### TTL Pulse Control\n",
    "\n",
    "The PulseBlaster object has a number of parameters to describe which channel (or \"bit\") output is connected to various lab hardware. See [pulse_blaster_testing.ipynb](pulse_blaster_testing.ipynb) for some more detail usage. The default values for the parameters are set to match the current hardware configuration in the QT3 lab. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "01f910b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "cwodmr_pulser = PulseBlasterCWODMR(pb_board_number=0, clock_period = 100e-9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aead7f4b",
   "metadata": {},
   "source": [
    "Each PulseBlaster class (and each qt3utils.experiment class) has a method called `experimental_conditions` that returns a dictionary with pertinent information for that particular object. In this case, the RF pulse duration is provided (5 microseconds), as well as the clock period. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7d3d24de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'rf_pulse_duration': 5e-06, 'clock_period': 1e-07}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cwodmr_pulser.experimental_conditions()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3d379c8",
   "metadata": {},
   "source": [
    "#### Photon Conter\n",
    "\n",
    "We utilize the NIDAQ to count the number of photons observed by an external photon counter. In QT3, we currently use the Excelitas SPCM. This device generates a TTL pulse for each observed photon. The NIDAQ card counts the number of these pulses per some clock period. It counts these digital signals by looking for the \"edge\" of the TTL pulse, and is thus called an EdgeCounter. The `qt3utils.nidaq.EdgeCounter` object configures usage of the NIDAQ card for this purpose. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ed6715d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "nidaq_config = qt3utils.nidaq.EdgeCounter('Dev1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35b82108",
   "metadata": {},
   "source": [
    "# Instantiate an experiment object\n",
    "\n",
    "Using our objects that communicate with our hardware, we can now create a CWODMR experiment. \n",
    "\n",
    "The CWODMR experiment can be created with a number of different input parameters not shown here. \n",
    "Those parameters include the experimental conditions and hardware connections (which channels\n",
    "of the NiDAQ card are connected to clock, trigger, and PL signal). Default paramters match current\n",
    "QT3 hardware configuration. For full description, use the help function of Jupyter `?`, or \n",
    "read the [docstring directly in the source code](../src/qt3utils/experiments/cwodmr.py#L15)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27cb8e84",
   "metadata": {},
   "outputs": [],
   "source": [
    "qt3utils.experiments.cwodmr.CWODMR?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7b615801",
   "metadata": {},
   "outputs": [],
   "source": [
    "cwodmr_exp = qt3utils.experiments.cwodmr.CWODMR(cwodmr_pulser, rfsynth, nidaq_config, rf_power=-20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11bbfaf4",
   "metadata": {},
   "source": [
    "After an experiment object is instantiated, you may still change the conditions of the experiment if desired. For example, we change the rf pulse duration to 10 microseconds, then increase the range of RF frequencies in our scan and the step size between RF frequencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0efdb17f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cwodmr_pulser.rf_pulse_duration = 10e-6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "573ed942",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'freq_low': 2820000000.0,\n",
       " 'freq_high': 2920000000.0,\n",
       " 'freq_step': 1000000.0,\n",
       " 'rf_power': -20,\n",
       " 'pulser': {'rf_pulse_duration': 1e-05, 'clock_period': 1e-07}}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cwodmr_exp.experimental_conditions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "287b5e73",
   "metadata": {},
   "outputs": [],
   "source": [
    "cwodmr_exp.freq_low = 2730e6\n",
    "cwodmr_exp.freq_high = 3030e6\n",
    "cwodmr_exp.freq_step = 2e6\n",
    "cwodmr_exp.rf_power = -10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b645aec1",
   "metadata": {},
   "source": [
    "All qt3utils experiment classes are executed with the `run` function. See the [documentation for more information](../docs/ExperimentsDoc.md).\n",
    "\n",
    "The return from this call will be a numpy array of shape (N, 2).\n",
    "\n",
    "Due to our logger configured above `qt3utils.experiments.cwodmr.logger.setLevel(logging.INFO)`, the `run` \n",
    "method reports the start of acquisition at each frequency below. This can be turned off by using\n",
    "`logging.WARNING`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5ebeb687",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2730000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2732000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2734000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2736000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2738000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2740000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2742000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2744000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2746000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2748000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2750000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2752000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2754000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2756000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2758000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2760000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2762000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2764000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2766000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2768000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2770000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2772000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2774000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2776000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2778000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2780000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2782000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2784000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2786000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2788000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2790000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2792000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2794000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2796000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2798000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2800000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2802000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2804000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2806000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2808000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2810000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2812000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2814000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2816000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2818000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2820000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2822000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2824000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2826000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2828000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2830000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2832000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2834000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2836000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2838000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2840000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2842000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2844000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2846000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2848000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2850000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2852000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2854000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2856000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2858000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2860000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2862000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2864000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2866000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2868000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2870000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2872000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2874000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2876000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2878000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2880000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2882000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2884000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2886000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2888000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2890000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2892000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2894000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2896000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2898000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2900000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2902000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2904000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2906000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2908000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2910000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2912000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2914000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2916000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2918000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2920000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2922000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2924000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2926000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2928000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2930000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2932000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2934000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2936000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2938000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2940000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2942000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2944000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2946000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2948000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2950000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2952000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2954000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2956000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2958000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2960000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2962000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2964000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2966000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2968000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2970000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2972000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2974000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2976000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2978000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2980000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2982000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2984000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2986000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2988000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2990000000.0 Hz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2992000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2994000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2996000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 2998000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3000000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3002000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3004000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3006000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3008000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3010000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3012000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3014000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3016000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3018000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3020000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3022000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3024000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3026000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3028000000.0 Hz\n",
      "INFO:qt3utils.experiments.cwodmr:RF frequency: 3030000000.0 Hz\n"
     ]
    }
   ],
   "source": [
    "scan_data = cwodmr_exp.run(N_cycles=40000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c16be941",
   "metadata": {},
   "source": [
    "# Observe the Data\n",
    "\n",
    "The first column of `scan_data` is the experimental variable (in this case the RF frequency) and the second column contains the measured contrast. In the data below we can see three Zeeman splittings, where, presumably, two of the NV- orientations are equally split by the static magnetic field. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b2acf1c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\n",
       "}\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x168528fc130>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "x_data = scan_data[:, 0]\n",
    "y_data = scan_data[:, 1]\n",
    "plt.plot(x_data, y_data, '.-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94ffa745",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}