experiment_pipeline.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00000-309425cf-09af-4d13-b4e4-f70f54e79b24",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "886036eb",
    "execution_start": 1639130511191,
    "execution_millis": 375,
    "deepnote_cell_type": "code"
   },
   "source": "import h5py\nimport matplotlib.pyplot as plt\nimport numpy as np\nf = h5py.File('QB6_single_shot_raw_trace_10k_records.hdf5', 'r')",
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "source": "### Get Hyperparameters",
   "metadata": {
    "tags": [],
    "is_collapsed": false,
    "cell_id": "00001-56a497f2-1db3-478c-8781-5fd2d0dc79ce",
    "deepnote_cell_type": "text-cell-h3"
   }
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00001-517a9339-acd9-4947-b64c-10b3a33af03b",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "7a98ab8a",
    "execution_start": 1639130511627,
    "execution_millis": 263,
    "deepnote_output_heights": [
     213.0625,
     607
    ],
    "deepnote_cell_type": "code"
   },
   "source": "skip_time = None\nintegration_time = None\n\nchannels = list(f['Channels'])\nfor channel in channels:\n    channel_name = list(channel)[0]\n    \n    if 'Skip time' in channel_name:\n        print(channel)\n        #skip_time = channel[]\n\n    if 'Integration time' in channel_name:\n        print(channel)\n        #skip_time = channel[]\n        \n",
   "execution_count": null,
   "outputs": [
    {
     "name": "stdout",
     "text": "('FPGA 10q BL - Integration time', 'Keysight PXI Digitizer FPGA Demod q10 - PXI: 18, FPGA 10q BL at localhost', 'Integration time', 's', 's', 1., 0., 1., inf, 0., '', 'Nothing', False, '', False, 1., False)\n('FPGA 10q BL - Skip time', 'Keysight PXI Digitizer FPGA Demod q10 - PXI: 18, FPGA 10q BL at localhost', 'Skip time', 's', 's', 1., 0., 1., inf, 4.e-08, '', 'Nothing', False, '', False, 1., False)\n('FPGA 10q BR - Integration time', 'Keysight PXI Digitizer FPGA Demod q10 - PXI: 17, FPGA 10q BR at localhost', 'Integration time', 's', 's', 1., 0., 1., inf, 0., '', 'Nothing', False, '', False, 1., False)\n('FPGA 10q BR - Skip time', 'Keysight PXI Digitizer FPGA Demod q10 - PXI: 17, FPGA 10q BR at localhost', 'Skip time', 's', 's', 1., 0., 1., inf, 4.e-08, '', 'Nothing', False, '', False, 1., False)\n",
     "output_type": "stream"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00002-5d673d3f-b5e5-408a-90c6-3fbea62d0786",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "dd5ab778",
    "execution_start": 1639130511902,
    "execution_millis": 23,
    "deepnote_output_heights": [
     462.5
    ],
    "deepnote_cell_type": "code"
   },
   "source": "print(np.array(f['Data']['Channel names']))\nprint(np.array(f['Data']['Data']).flatten())\n#list(f['Data'].keys())",
   "execution_count": null,
   "outputs": [
    {
     "name": "stdout",
     "text": "[('FPGA Voltage, QB1', 'Real') ('FPGA Voltage, QB1', 'Imaginary')\n ('FPGA Voltage, QB2', 'Real') ('FPGA Voltage, QB2', 'Imaginary')\n ('FPGA Voltage, QB3', 'Real') ('FPGA Voltage, QB3', 'Imaginary')\n ('FPGA Voltage, QB4', 'Real') ('FPGA Voltage, QB4', 'Imaginary')\n ('FPGA Voltage, QB5', 'Real') ('FPGA Voltage, QB5', 'Imaginary')\n ('FPGA Voltage, QB6', 'Real') ('FPGA Voltage, QB6', 'Imaginary')\n ('FPGA Voltage, QB7', 'Real') ('FPGA Voltage, QB7', 'Imaginary')\n ('FPGA Voltage, QB8', 'Real') ('FPGA Voltage, QB8', 'Imaginary')\n ('FPGA Voltage, QB9', 'Real') ('FPGA Voltage, QB9', 'Imaginary')\n ('FPGA Voltage, QB10', 'Real') ('FPGA Voltage, QB10', 'Imaginary')\n ('FPGA Voltage, QB11', 'Real') ('FPGA Voltage, QB11', 'Imaginary')\n ('FPGA Voltage, QB12', 'Real') ('FPGA Voltage, QB12', 'Imaginary')\n ('FPGA Voltage, QB13', 'Real') ('FPGA Voltage, QB13', 'Imaginary')\n ('FPGA Voltage, QB14', 'Real') ('FPGA Voltage, QB14', 'Imaginary')\n ('FPGA Voltage, QB15', 'Real') ('FPGA Voltage, QB15', 'Imaginary')\n ('FPGA Voltage, QB16', 'Real') ('FPGA Voltage, QB16', 'Imaginary')]\n[-4.89381812e-03  2.16300735e-03 -2.11430936e-03 -1.92626904e-03\n  3.79843291e-03 -1.41671700e-03 -1.55106953e-03  3.21711491e-03\n  4.39672555e-03  1.19270824e-03 -2.07579237e-03  1.29720555e-03\n  6.32901326e-04 -1.11989684e-03  1.95951259e-04 -9.53974626e-04\n -1.19704840e-03 -3.58045994e-03  1.22683706e-03 -2.29948021e-03\n  9.65566418e-04 -3.37499886e-04  7.23798319e-04 -4.11490952e-04\n -5.01782468e-04 -1.06614217e-03 -8.26131232e-05 -7.51800858e-04\n  1.45280574e-04 -8.32282632e-04 -1.17998487e-03 -1.19681356e-03]\n",
     "output_type": "stream"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00003-b63db6fb-8010-4b5e-bc52-5f0618ed92cb",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "6a4d2c80",
    "execution_start": 1639130511912,
    "execution_millis": 328,
    "deepnote_output_heights": [
     250
    ],
    "deepnote_cell_type": "code"
   },
   "source": "foo = np.array(f['Traces']['FPGA Single-shot, QB6'])\nplt.plot(foo[:,0,0])\nplt.plot(foo[:,1,0])\nplt.show()",
   "execution_count": null,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light",
      "image/png": {
       "width": 393,
       "height": 248
      }
     },
     "output_type": "display_data"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00004-219d12db-2194-4609-a925-0ed795732d85",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "f2850a87",
    "execution_start": 1639130512241,
    "execution_millis": 68,
    "deepnote_output_heights": [
     309
    ],
    "deepnote_cell_type": "code"
   },
   "source": "list(f['Traces'].keys())",
   "execution_count": null,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 5,
     "data": {
      "text/plain": "['FPGA 10q BL - Ch1 - Signal',\n 'FPGA 10q BL - Ch1 - Signal_N',\n 'FPGA 10q BL - Ch1 - Signal_t0dt',\n 'FPGA 10q BL - Ch2 - Signal',\n 'FPGA 10q BL - Ch2 - Signal_N',\n 'FPGA 10q BL - Ch2 - Signal_t0dt',\n 'FPGA 10q BR - Ch1 - Signal',\n 'FPGA 10q BR - Ch1 - Signal_N',\n 'FPGA 10q BR - Ch1 - Signal_t0dt',\n 'FPGA 10q BR - Ch2 - Signal',\n 'FPGA 10q BR - Ch2 - Signal_N',\n 'FPGA 10q BR - Ch2 - Signal_t0dt',\n 'FPGA Single-shot, QB6',\n 'FPGA Single-shot, QB6_N',\n 'FPGA Single-shot, QB6_t0dt',\n 'Time stamp']"
     },
     "metadata": {}
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00005-902bba1c-37bf-4fde-993d-a3b5351ba59e",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "4a6ef21",
    "execution_start": 1639130512291,
    "execution_millis": 735,
    "deepnote_output_heights": [
     274,
     263,
     263
    ],
    "deepnote_cell_type": "code"
   },
   "source": "ch1_signal = f['Traces']['FPGA 10q BL - Ch1 - Signal']\nch1_signal = np.array(ch1_signal)[:,0,0]\n\nch1_signal_n = f['Traces']['FPGA 10q BL - Ch1 - Signal_t0dt']\nch1_signal_n = np.array(ch1_signal_n)\nprint(ch1_signal_n)",
   "execution_count": null,
   "outputs": [
    {
     "name": "stdout",
     "text": "[[0.e+00 2.e-09]]\n",
     "output_type": "stream"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00006-a7ff9dd1-cee6-4bc7-953a-7f66b0ae3df5",
    "deepnote_to_be_reexecuted": false,
    "source_hash": "75b86d30",
    "execution_start": 1639130650621,
    "execution_millis": 389,
    "deepnote_output_heights": [
     250,
     250
    ],
    "deepnote_cell_type": "code"
   },
   "source": "plt.hist2d(foo[:,0,0], foo[:,1,0], bins = 100)\nplt.show()",
   "execution_count": null,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light",
      "image/png": {
       "width": 404,
       "height": 248
      }
     },
     "output_type": "display_data"
    }
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "tags": [],
    "cell_id": "00008-f3851135-7218-4bb6-a694-52088873433a",
    "deepnote_cell_type": "code"
   },
   "source": "",
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "source": "<a style='text-decoration:none;line-height:16px;display:flex;color:#5B5B62;padding:10px;justify-content:end;' href='https://deepnote.com?utm_source=created-in-deepnote-cell&projectId=0211f19d-54e4-44e5-ab1c-ce7a6a2d44df' target=\"_blank\">\n<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' > </img>\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>",
   "metadata": {
    "tags": [],
    "created_in_deepnote_cell": true,
    "deepnote_cell_type": "markdown"
   }
  }
 ],
 "nbformat": 4,
 "nbformat_minor": 2,
 "metadata": {
  "orig_nbformat": 2,
  "deepnote": {
   "is_reactive": false
  },
  "deepnote_notebook_id": "d621ec52-a276-405e-9b47-0005c77d2774",
  "deepnote_execution_queue": []
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}