add bahtinov notebook

bahtinov.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9c99c583",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "number of processors: 4\n",
+      "total memory        : 7.6 Gb\n",
+      "available memory    : 48 %\n",
+      "max frequency       : 2900 GHz\n"
+     ]
+    }
+   ],
+   "source": [
+    "import cv2\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from diffractio import um, nm, mm, np, degrees\n",
+    "from diffractio.scalar_sources_XY import Scalar_source_XY\n",
+    "from diffractio.scalar_fields_XY import Scalar_field_XY\n",
+    "from diffractio.scalar_masks_XY import Scalar_mask_XY\n",
+    "from ipywidgets import interact, fixed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "303e2923",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook\n",
+    "mask = cv2.imread(\"BahtinovMask.png\", cv2.IMREAD_GRAYSCALE)\n",
+    "mask = np.pad(mask, 2*len(mask))\n",
+    "\n",
+    "h, w = 1024, 1024\n",
+    "mask = cv2.resize(mask, (w, h))\n",
+    "length = 10*mm\n",
+    "x0 = np.linspace(-length/2, length/2, 1024)\n",
+    "y0 = np.linspace(-length/2, length/2, 1024)\n",
+    "wavelength = 0.580 * um\n",
+    "u0 = Scalar_source_XY(x=x0, y=y0, wavelength=wavelength)\n",
+    "t1 = Scalar_mask_XY(x=x0, y=y0, wavelength=wavelength)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "2632f9d4",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "59d03f045dc047d3a05059bc6dc3a370",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(FloatSlider(value=500.0, description='z', max=1000.0, step=5.0), Output()), _dom_classes…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.propagate(z)>"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "def propagate(z):\n",
+    "    u0 = Scalar_source_XY(x=x0, y=y0, wavelength=wavelength)\n",
+    "    u0.RS(z=10*mm, new_field=False)\n",
+    "    t0 = Scalar_mask_XY(x=x0, y=y0, wavelength=wavelength)\n",
+    "    t0.circle((0, 0), 1*mm)\n",
+    "    u0 = u0*t0\n",
+    "    u0.RS(z=z, new_field=False)\n",
+    "    \n",
+    "    #u0 = u0.RS(z=10*mm)\n",
+    "    u0.draw(logarithm=True)\n",
+    "interact(propagate, z=(0*mm, 1*mm, 0.005*mm))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "93fcb03e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03bc9175",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}