{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ffb4504d-271b-49ff-aae7-2e17b4028445",
   "metadata": {},
   "source": [
    "# Analyzer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2e7e4ea5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.000000e+00+0.j 6.123234e-17+0.j]\n",
      " [6.123234e-17+0.j 1.000000e+00+0.j]]\n"
     ]
    }
   ],
   "source": [
    "import nexus as nx\n",
    "import numpy as np\n",
    "\n",
    "# set beam along pi polarization via initialization parameters\n",
    "# those values are the default arguments\n",
    "analyzer = nx.Analyzer(efficiency = 1, mixing_angle = 0, canting_angle = 90)\n",
    "\n",
    "print(analyzer.matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7ff0a071",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.5+0.j  -0. -0.5j]\n",
      " [ 0. +0.5j  0.5+0.j ]]\n"
     ]
    }
   ],
   "source": [
    "analyzer = nx.Analyzer()\n",
    "analyzer.CircularLeft()\n",
    "\n",
    "print(analyzer.matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "455da296",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.+0.j 0.+0.j]\n",
      " [0.+0.j 1.+0.j]]\n"
     ]
    }
   ],
   "source": [
    "analyzer.SetJonesMatrix(np.array([[1,0], [0,1]], dtype=complex))\n",
    "print(analyzer.matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5cb0c3f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.+0.j 0.+0.j]\n",
      " [0.+0.j 1.+0.j]]\n"
     ]
    }
   ],
   "source": [
    "print(analyzer.ElectronicAmplitudeMatrix(0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7429c530",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.+0.j 0.+0.j]\n",
      " [0.+0.j 0.+0.j]]\n"
     ]
    }
   ],
   "source": [
    "analyzer.SetJonesMatrix(np.array([[1,0], [0,0]], dtype=complex))\n",
    "print(analyzer.matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1b8ddd96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzer\n",
      "  .id: \n",
      "  .matrix:\n",
      "[[0.5+0.j 0.5+0.j]\n",
      " [0.5+0.j 0.5+0.j]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "analyzer.Rotate(45)\n",
    "print(analyzer)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
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