{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Probe files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opal import load_dataset\n",
    "\n",
    "ds = load_dataset('./RingCyclotron/', fname='RRI2.h5')\n",
    "\n",
    "print( ds )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set the plotting style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opal.visualization.styles import load_style\n",
    "\n",
    "load_style('jupyter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Do some plotting ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_probe_histogram(bins=300)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opal.analysis.cyclotron import eval_radius\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "t = ds.getData('turn')\n",
    "\n",
    "x = ds.getData('x')\n",
    "y = ds.getData('y')\n",
    "\n",
    "# second peak of above figure\n",
    "x = x[t == 1]\n",
    "y = y[t == 1]\n",
    "\n",
    "r = eval_radius(x, y)\n",
    "\n",
    "plt.hist(r, bins=400)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  }
 ],
 "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}