{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "638a9aba-6a71-4fe8-b5e9-2817e13c308d",
   "metadata": {},
   "source": [
    "# Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7dd6c326",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experiment:\n",
      "  .id: my experiment\n",
      "  .beam.id: my beam\n",
      "  .objects:\n",
      "    index: 0, type: Sample, .id: my sample\n",
      "    index: 1, type: Analyzer, .id: my analyzer\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import nexus as nx\n",
    "import numpy as np\n",
    "\n",
    "beam = nx.Beam(id=\"my beam\")\n",
    "\n",
    "analyzer = nx.Analyzer(id=\"my analyzer\")\n",
    "\n",
    "sample1 = nx.SimpleSample(thickness=3000,\n",
    "                          composition = [[\"Fe\", 1]],\n",
    "                          density = nx.Var(7.874, min=7, max=7.874, fit=True, id = \"sample density\"),\n",
    "                          id=\"my sample\")\n",
    "\n",
    "experiment = nx.Experiment(id = \"my experiment\",\n",
    "                           beam = beam,\n",
    "                           objects = [sample1, analyzer],\n",
    "                           isotope = nx.lib.moessbauer.Fe57)\n",
    "    \n",
    "print(experiment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "469aec7a-a415-40eb-8e5e-3f10e790434d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]\n",
      "\n",
      " [[0.63871282+0.67381024j 0.        +0.j        ]\n",
      "  [0.        +0.j         0.63871282+0.67381024j]]]\n"
     ]
    }
   ],
   "source": [
    "exp_scattering_factor = experiment.ElectronicAmplitude(energy = 14.4e3)\n",
    "\n",
    "detuning = np.linspace(-100, 100, 11)\n",
    "\n",
    "exp_matrix = experiment.Matrix(detunings = detuning,\n",
    "                               calc_transitions = True)\n",
    "\n",
    "print(np.squeeze(exp_matrix))"
   ]
  }
 ],
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