{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tokamak GOLEM Tektronix MSO56 DAS Oscilloscope"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The device\n",
    "\n",
    "<a href=\"https://www.tek.com/oscilloscope/5-series-mso-mixed-signal-oscilloscope\"><img src=\"http://golem.fjfi.cvut.cz/_static/5SeriesMSODatasheetENUS9Ljpg.jpg\"></img></a>\n",
    "<br></br>\n",
    "<a href=\"https://download.tek.com/datasheet/5-Series-MSO-Datasheet-48W6085016.pdf\">Datasheet</a>\n",
    "\n",
    "## Screenshot\n",
    "\n",
    "Relevant data screenshot<br/>\n",
    "<a href=\"ScreenShot.png\"><img src=\"ScreenShot.png\"></a>\n",
    "\n",
    "## Data\n",
    "\n",
    "<a href=\"../StandardDAS/\">Data directory</a>\n",
    "\n",
    "\n",
    "### Raw data\n",
    "1. [LoopVoltageCoil_raw.csv](LoopVoltageCoil_raw.csv)\n",
    "1. [BtCoil_raw.csv](BtCoil_raw.csv)\n",
    "1. [RogowskiCoil_raw.csv](RogowskiCoil_raw.csv)\n",
    "1. [LeyboldPhotodiodeNoFilter_raw.csv](LeyboldPhotodiodeNoFilter_raw.csv)\n",
    "1. [Trigger_raw.csv](Trigger_raw.csv)\n",
    "\n",
    "## Math operated\n",
    "1. [BtCoil_integrated.csv](BtCoil_integrated.csv)\n",
    "1. [RogowskiCoil_integrated.csv](RogowskiCoil_integrated.csv)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data manipulation (<a href=StandardDAS.ipynb>This notebook to download</a>)\n",
    "\n",
    "## Prerequisites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Libraries\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "URL = 'http://golem.fjfi.cvut.cz/shots/{}/DASs/StandardDAS/{}.csv'\n",
    "shot_no = 34423\n",
    "\n",
    "# function for reading 1D y(t) signals\n",
    "def read_signal1d(shot_number, signal_id):\n",
    "    url = URL.format(shot_number, signal_id)\n",
    "    return pd.read_csv(url,names=['time',signal_id],\n",
    "                         index_col='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Raw data from oscilloscope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read the specified signals\n",
    "U_l = read_signal1d(shot_no, 'LoopVoltageCoil_raw')\n",
    "dI_chp = read_signal1d(shot_no, 'RogowskiCoil_raw')\n",
    "dB_t = read_signal1d(shot_no, 'BtCoil_raw')\n",
    "I_all = read_signal1d(shot_no, 'LeyboldPhotodiodeNoFilter_raw')\n",
    "Trigger = read_signal1d(shot_no, 'Trigger_raw')\n",
    "\n",
    "\n",
    "# combine into a data frame table\n",
    "df = pd.concat([U_l, dI_chp, dB_t, I_all,Trigger], axis='columns')\n",
    "\n",
    "# plot the data table in subplots from 1 to 25 ms\n",
    "df.loc[0e-3:25e-3].plot(subplots=True, ylim=(None,None))\n",
    "plt.show()   # display the figure in a window"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Oscilloscope data through math operation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "B_t = read_signal1d(shot_no, 'BtCoil_integrated')\n",
    "I_chp = read_signal1d(shot_no, 'RogowskiCoil_integrated')\n",
    "\n",
    "# combine into a data frame table\n",
    "df = pd.concat([B_t,I_chp], axis='columns')\n",
    "\n",
    "df.loc[1e-3:25e-3].plot(subplots=True, ylim=(0,None))\n",
    "plt.show()   # display the figure in a window"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classical presentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat([U_l, B_t, I_chp, I_all], axis='columns')\n",
    "\n",
    "# plot the data table in subplots from 1 to 25 ms\n",
    "df.loc[1e-3:25e-3].plot(subplots=True, ylim=(None,None))\n",
    "plt.show()   # display the figure in a window"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "All data screenshot<br/>\n",
    "<a href=\"ScreenShotAll.png\"><img src=\"ScreenShotAll.png\"></a>\n",
    "<br/><a href='http://192.168.2.37'>Standard DAS Oscilloscope</a>"
   ]
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}