numass/notebooks/jupyter-demo.ipynb

{
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   "id": "2a640dcc-4696-408f-b1f0-0cdf917e4719",
   "metadata": {},
   "outputs": [],
   "source": [
    "@file:Repository(\"https://repo.kotlin.link\")\n",
    "@file:Repository(\"*mavenLocal\")\n",
    "@file:DependsOn(\"ru.inr.mass:numass-workspace:0.1.0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d193fb2-6c18-4c64-b5c3-3e9ed4099d5b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "val repo: DataTree<NumassDirectorySet> = Numass.readNumassRepository(\"D:\\\\Work\\\\Numass\\\\data\\\\test\")\n",
    "repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "373de92b-2533-4cfc-820b-ca90b9d028fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "val numassSet = repo[\"set_7\"]\n",
    "numassSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0845a15-2928-4e6e-a891-fee130ef5326",
   "metadata": {},
   "outputs": [],
   "source": [
    "val point = numassSet.points.first{it.voltage == 14000.0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "842dfbcb-17f0-4df9-b5d4-2835f15f3a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50df6925-82f5-4330-a1c2-3e43fb9cd17d",
   "metadata": {},
   "outputs": [],
   "source": [
    "Plotly.plotNumassBlock(point, eventExtractor = NumassEventExtractor.TQDC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "196f94ca-0439-4190-bda7-8d692c37b2db",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "val frames = point.listFrames()\n",
    "Plotly.page {\n",
    "    p { +\"${frames.size} frames\" }\n",
    "    h2 { +\"Random frames\" }\n",
    "    plot {\n",
    "        val random = kotlin.random.Random(1234)\n",
    "\n",
    "        repeat(10) {\n",
    "            val frame = frames.random(random)\n",
    "            scatter {\n",
    "                y.numbers = frame.signal.map { (it.toUShort().toInt() - Short.MAX_VALUE).toShort() }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "    h2 { +\"Analysis\" }\n",
    "    plot {\n",
    "        histogram {\n",
    "            name = \"max\"\n",
    "            x.numbers = frames.map { frame -> frame.signal.maxOf { (it.toUShort().toInt() - Short.MAX_VALUE).toShort() } }\n",
    "        }\n",
    "\n",
    "        histogram {\n",
    "            name = \"max-min\"\n",
    "            xbins {\n",
    "                size = 2.0\n",
    "            }\n",
    "            x.numbers = frames.map { frame ->\n",
    "                frame.signal.maxOf { it.toUShort().toInt() - Short.MAX_VALUE } -\n",
    "                        frame.signal.minOf { it.toUShort().toInt() - Short.MAX_VALUE }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5320d9d5-eae3-469b-a1f2-5d33d3db286c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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