VENUS_BOAT_And_Camera.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1f9c8855-537a-4bde-a338-a7de18fb5e2b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-13T13:59:51.177989Z",
     "iopub.status.busy": "2023-06-13T13:59:51.177689Z",
     "iopub.status.idle": "2023-06-13T13:59:51.204071Z",
     "shell.execute_reply": "2023-06-13T13:59:51.203637Z",
     "shell.execute_reply.started": "2023-06-13T13:59:51.177966Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: module://ipympl.backend_nbagg\n",
      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'/SNS/snfs1/instruments/VENUS/IPTS-31716/shared/MJFrostReduction/first_venus_white_beam_experiment'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pylab\n",
    "%matplotlib ipympl\n",
    "%pwd\n",
    "from h5py import File\n",
    "from scipy.optimize import curve_fit\n",
    "from PIL import Image\n",
    "\n",
    "def rebin(a,sumScale):\n",
    "    if sumScale<1: sumScale=1\n",
    "    newA = zeros(len(a)//sumScale,dtype=type(a[0]))    \n",
    "    for i in arange(sumScale): newA+=a[i::sumScale][:len(a)//sumScale]\n",
    "    return newA\n",
    "\n",
    "def monitorCounts(runNumber,tofBinsMicroSeconds=10, clockTimePeriod=1.0):\n",
    "    '''\n",
    "    Get monitor event data and plot Instantaneous countrate over the 60Hz frame and average countrate over the entire run.\n",
    "    '''\n",
    "    f = File(\"/SNS/VENUS/IPTS-31716/nexus/VENUS_%d.nxs.h5\"%runNumber,'r')\n",
    "    monitorData = f['entry']['monitor8']\n",
    "    runTimeSeconds = array(f['entry']['duration'])[0]\n",
    "    figure(\"VENUS Run %d TOF Intensity\"%runNumber)\n",
    "    h = histogram(array(monitorData['event_time_offset']),bins=arange(0,1e6/60.0,tofBinsMicroSeconds))\n",
    "    tof = (h[1][:-1]+h[1][1:])/2.0\n",
    "    w = tof/18990.0*3.956\n",
    "    dw = gradient(w)\n",
    "    #xlabel(\"TOF [microseconds]\")\n",
    "    xlabel(\"Neutron Wavelength [$\\AA$]\")\n",
    "    #ylabel(\"Spectral Neutron Flux [n/(cm$^2\\cdot s \\cdot\\AA$)]\")\n",
    "    ylabel(\"Area Normalized CountRate [Counts/(cm$^2\\cdot s \\cdot\\AA$)]\")\n",
    "    Y = h[0]/runTimeSeconds/dw/58.0#gradient(tof/1e6)/60.0\n",
    "    sigY = sqrt(h[0])/runTimeSeconds/dw/58.0#gradient(tof/1e6)/60.0\n",
    "    errorbar(w,Y,yerr=sigY,fmt='none', capsize=3)\n",
    "    #axis([None,None,5e4,7e4])\n",
    "    show()\n",
    "    figure(\"VENUS Run %d Intensity over Time\"%runNumber)\n",
    "    time = (array(monitorData['event_time_zero'])[:-1]+array(monitorData['event_time_zero'])[1:])/2.0\n",
    "    time = rebin(time,int(clockTimePeriod*60))/(clockTimePeriod*60)\n",
    "    Y = rebin(diff(array(monitorData['event_index'])),int(clockTimePeriod*60))/gradient(time)\n",
    "    sigY = sqrt(rebin(diff(array(monitorData['event_index'])),int(clockTimePeriod*60)))/gradient(time)\n",
    "    errorbar(time,Y,yerr=sigY,fmt='none', capsize=3)\n",
    "    ylabel(\"Countrate\")\n",
    "    xlabel(\"Time [seconds]\")\n",
    "    #axis([None,None,5e4,7e4])\n",
    "    show()\n",
    "    \n",
    "def showCamera(filename):\n",
    "    t = Image.open(filename)\n",
    "    newT = array(t)\n",
    "    namer = filename.split('/')[-1]\n",
    "    figure(namer)\n",
    "    clf()\n",
    "    imshow(newT)\n",
    "    colorbar()\n",
    "    axis([None,None,0,6500])\n",
    "    axis(\"equal\")\n",
    "    show()\n",
    "\n",
    "%pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "90f6166f-b6c6-45fa-863b-bf0573b2f76f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-13T13:59:05.523632Z",
     "iopub.status.busy": "2023-06-13T13:59:05.523310Z",
     "iopub.status.idle": "2023-06-13T13:59:06.028946Z",
     "shell.execute_reply": "2023-06-13T13:59:06.028357Z",
     "shell.execute_reply.started": "2023-06-13T13:59:05.523614Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "74bfd4abf88242efb910860a727070d7",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    VENUS Run 9 TOF Intensity\n",
       "                </div>\n",
       "                <img 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' 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       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "505062488afc4a1b9ad274b3cea3d10b",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    VENUS Run 9 Intensity over Time\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "close(\"all\")\n",
    "monitorCounts(9,200,10.0)\n",
    "figure(\"VENUS Run 9 TOF Intensity\")\n",
    "#yscale(\"log\")\n",
    "axis([None,None,0.0,1])\n",
    "savefig(\"FirstVNUSSpectrum.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a9ad86f-5631-4947-afe0-dddd89536e6d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "mantid-framework",
   "language": "",
   "name": "mantid"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}