{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Tutorial 4f: Three-Mirror Anastigmat (TMA)\n",
                "\n",
                "This tutorial aims at demonstrating Optiland's capabilities in reflective systems design using freeform mirrors.\n",
                "\n",
                "### Setup the telescope\n",
                "\n",
                "The starting telescope is voluntarily defocused, it will be optimized after."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1000x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Type                      \u2502   Radius \u2502   Thickness \u2502 Material   \u2502   Conic \u2502   Semi-aperture \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 Planar                    \u2502      inf \u2502         inf \u2502 Air        \u2502       0 \u2502         5       \u2502\n",
                        "\u2502  1 \u2502 Stop - Zernike Polynomial \u2502     -100 \u2502         -20 \u2502 Mirror     \u2502       0 \u2502         5       \u2502\n",
                        "\u2502  2 \u2502 Zernike Polynomial        \u2502     -100 \u2502          20 \u2502 Mirror     \u2502       0 \u2502         3.52372 \u2502\n",
                        "\u2502  3 \u2502 Zernike Polynomial        \u2502     -100 \u2502         -22 \u2502 Mirror     \u2502       0 \u2502        12.6569  \u2502\n",
                        "\u2502  4 \u2502 Planar                    \u2502      inf \u2502         nan \u2502 Air        \u2502       0 \u2502         3.9344  \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n"
                    ]
                },
                {
                    "data": {
                        "image/png": 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                        "text/plain": [
                            "<Figure size 1200x400 with 3 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "import numpy as np\n",
                "\n",
                "from optiland import analysis, optic, optimization\n",
                "\n",
                "focal_length = 100  # [mm]\n",
                "\n",
                "lens = optic.Optic(name=\"TMA\")\n",
                "lens.set_aperture(aperture_type=\"EPD\", value=10)\n",
                "lens.fields.set_type(field_type=\"angle\")\n",
                "lens.fields.add(y=0)\n",
                "lens.fields.add(y=+1.5)\n",
                "lens.fields.add(y=-1.5)\n",
                "lens.wavelengths.add(value=0.486)\n",
                "lens.wavelengths.add(value=0.587, is_primary=True)\n",
                "lens.wavelengths.add(value=0.656)\n",
                "\n",
                "# The telescope is made of three freeform surfaces (Zernike)\n",
                "lens.surfaces.add(index=0, radius=np.inf, thickness=np.inf)\n",
                "lens.surfaces.add(\n",
                "    index=1,\n",
                "    radius=-100,\n",
                "    thickness=-20,\n",
                "    conic=0,\n",
                "    material=\"mirror\",\n",
                "    rx=np.radians(-15.0),\n",
                "    is_stop=True,\n",
                "    surface_type=\"zernike\",\n",
                "    coefficients=[],\n",
                ")\n",
                "lens.surfaces.add(\n",
                "    index=2,\n",
                "    radius=-100,\n",
                "    thickness=+20,\n",
                "    conic=0,\n",
                "    material=\"mirror\",\n",
                "    rx=np.radians(-10.0),\n",
                "    dy=-11.5,\n",
                "    surface_type=\"zernike\",\n",
                "    coefficients=[],\n",
                ")\n",
                "lens.surfaces.add(\n",
                "    index=3,\n",
                "    radius=-100,\n",
                "    thickness=-22,\n",
                "    conic=0,\n",
                "    material=\"mirror\",\n",
                "    rx=np.radians(-1.0),\n",
                "    dy=-15,\n",
                "    surface_type=\"zernike\",\n",
                "    coefficients=[],\n",
                ")\n",
                "lens.surfaces.add(index=4, dy=-19.3)\n",
                "\n",
                "lens.update_paraxial()\n",
                "lens.draw(title=lens.name)\n",
                "lens.info()\n",
                "# lens.draw3D()\n",
                "spot = analysis.SpotDiagram(lens)\n",
                "spot.view()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Optimization\n",
                "\n",
                "The optimization variables are the radii, thicknesses, decenters & tilts, and the freeform coefficients.\n",
                "\n",
                "We define contraints on the mirrors' decenters to prevent vignetting."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Variables"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "problem = optimization.OptimizationProblem()\n",
                "\n",
                "# radii\n",
                "problem.add_variable(lens, \"radius\", surface_number=1, min_val=-1000, max_val=1000)\n",
                "problem.add_variable(lens, \"radius\", surface_number=2, min_val=-1000, max_val=1000)\n",
                "problem.add_variable(lens, \"radius\", surface_number=3, min_val=-1000, max_val=1000)\n",
                "\n",
                "# thicknesses\n",
                "problem.add_variable(lens, \"thickness\", surface_number=1, min_val=-35, max_val=-15)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=2, min_val=+15, max_val=+35)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=3, min_val=-35, max_val=-15)\n",
                "\n",
                "# decenters\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"decenter\",\n",
                "    axis=\"y\",\n",
                "    surface_number=2,\n",
                "    min_val=-15,\n",
                "    max_val=-10,\n",
                ")\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"decenter\",\n",
                "    axis=\"y\",\n",
                "    surface_number=3,\n",
                "    min_val=-20,\n",
                "    max_val=-11,\n",
                ")\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"decenter\",\n",
                "    axis=\"y\",\n",
                "    surface_number=4,\n",
                "    min_val=-28,\n",
                "    max_val=-22,\n",
                ")\n",
                "\n",
                "# tilts\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"tilt\",\n",
                "    axis=\"x\",\n",
                "    surface_number=1,\n",
                "    min_val=np.radians(-20.0),\n",
                "    max_val=np.radians(-12.0),\n",
                ")\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"tilt\",\n",
                "    axis=\"x\",\n",
                "    surface_number=2,\n",
                "    min_val=np.radians(-15.0),\n",
                "    max_val=np.radians(-08.0),\n",
                ")\n",
                "problem.add_variable(\n",
                "    lens,\n",
                "    \"tilt\",\n",
                "    axis=\"x\",\n",
                "    surface_number=3,\n",
                "    min_val=np.radians(-10.0),\n",
                "    max_val=np.radians(+10.0),\n",
                ")\n",
                "\n",
                "# conic constants\n",
                "problem.add_variable(lens, \"conic\", surface_number=1, min_val=-10, max_val=10)\n",
                "problem.add_variable(lens, \"conic\", surface_number=2, min_val=-10, max_val=10)\n",
                "problem.add_variable(lens, \"conic\", surface_number=3, min_val=-10, max_val=10)\n",
                "\n",
                "# Freeform coefficients\n",
                "for s in range(1, 4):\n",
                "    for i in range(4):\n",
                "        problem.add_variable(\n",
                "            lens,\n",
                "            \"zernike_coeff\",\n",
                "            surface_number=s,\n",
                "            coeff_index=i,\n",
                "            min_val=-1,\n",
                "            max_val=1,\n",
                "        )"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Operands"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502   Merit Function Value \u2502   Improvement (%) \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502                6.19557 \u2502                 0 \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n",
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Operand Type         \u2502   Target \u2502 Min Bound   \u2502 Max Bound   \u2502   Weight \u2502   Value \u2502   Delta \u2502   Contrib. [%] \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502  -0.043 \u2502  -0.043 \u2502           0.03 \u2502\n",
                        "\u2502  1 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502  -0.086 \u2502  -0.086 \u2502           0.12 \u2502\n",
                        "\u2502  2 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502  -0.443 \u2502  -0.443 \u2502           3.17 \u2502\n",
                        "\u2502  3 \u2502 real y intercept lcs \u2502    2.619 \u2502             \u2502             \u2502        1 \u2502   1.22  \u2502  -1.399 \u2502          31.59 \u2502\n",
                        "\u2502  4 \u2502 real y intercept lcs \u2502   -2.619 \u2502             \u2502             \u2502        1 \u2502  -2.124 \u2502   0.494 \u2502           3.94 \u2502\n",
                        "\u2502  5 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.107 \u2502   0.107 \u2502          18.62 \u2502\n",
                        "\u2502  6 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.077 \u2502   0.077 \u2502           9.58 \u2502\n",
                        "\u2502  7 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.143 \u2502   0.143 \u2502          32.95 \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n",
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Variable Type   \u2502   Surface \u2502        Value \u2502   Min. Bound \u2502   Max. Bound \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 radius          \u2502         1 \u2502 -100         \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  1 \u2502 radius          \u2502         2 \u2502 -100         \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  2 \u2502 radius          \u2502         3 \u2502 -100         \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  3 \u2502 thickness       \u2502         1 \u2502  -20         \u2502   -35        \u2502   -15        \u2502\n",
                        "\u2502  4 \u2502 thickness       \u2502         2 \u2502   20         \u2502    15        \u2502    35        \u2502\n",
                        "\u2502  5 \u2502 thickness       \u2502         3 \u2502  -22         \u2502   -35        \u2502   -15        \u2502\n",
                        "\u2502  6 \u2502 decenter        \u2502         2 \u2502  -11.5       \u2502   -15        \u2502   -10        \u2502\n",
                        "\u2502  7 \u2502 decenter        \u2502         3 \u2502  -15         \u2502   -20        \u2502   -11        \u2502\n",
                        "\u2502  8 \u2502 decenter        \u2502         4 \u2502  -19.3       \u2502   -28        \u2502   -22        \u2502\n",
                        "\u2502  9 \u2502 tilt            \u2502         1 \u2502   -0.261799  \u2502    -0.349066 \u2502    -0.20944  \u2502\n",
                        "\u2502 10 \u2502 tilt            \u2502         2 \u2502   -0.174533  \u2502    -0.261799 \u2502    -0.139626 \u2502\n",
                        "\u2502 11 \u2502 tilt            \u2502         3 \u2502   -0.0174533 \u2502    -0.174533 \u2502     0.174533 \u2502\n",
                        "\u2502 12 \u2502 conic           \u2502         1 \u2502    0         \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 13 \u2502 conic           \u2502         2 \u2502    0         \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 14 \u2502 conic           \u2502         3 \u2502    0         \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 15 \u2502 zernike_coeff   \u2502         1 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 16 \u2502 zernike_coeff   \u2502         1 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 17 \u2502 zernike_coeff   \u2502         1 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 18 \u2502 zernike_coeff   \u2502         1 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 19 \u2502 zernike_coeff   \u2502         2 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 20 \u2502 zernike_coeff   \u2502         2 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 21 \u2502 zernike_coeff   \u2502         2 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 22 \u2502 zernike_coeff   \u2502         2 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 23 \u2502 zernike_coeff   \u2502         3 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 24 \u2502 zernike_coeff   \u2502         3 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 25 \u2502 zernike_coeff   \u2502         3 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 26 \u2502 zernike_coeff   \u2502         3 \u2502    0         \u2502    -1        \u2502     1        \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n"
                    ]
                }
            ],
            "source": [
                "# Center M2 on its chief ray\n",
                "input_data = {\n",
                "    \"optic\": lens,\n",
                "    \"surface_number\": 2,\n",
                "    \"Hx\": 0,\n",
                "    \"Hy\": 0,\n",
                "    \"Px\": 0,\n",
                "    \"Py\": 0,\n",
                "    \"wavelength\": lens.wavelengths.primary_wavelength.value,\n",
                "}\n",
                "problem.add_operand(\n",
                "    operand_type=\"real_y_intercept_lcs\",\n",
                "    target=0.0,\n",
                "    weight=1,\n",
                "    input_data=input_data,\n",
                ")\n",
                "\n",
                "# Center M3 on its chief ray\n",
                "input_data = {\n",
                "    \"optic\": lens,\n",
                "    \"surface_number\": 3,\n",
                "    \"Hx\": 0,\n",
                "    \"Hy\": 0,\n",
                "    \"Px\": 0,\n",
                "    \"Py\": 0,\n",
                "    \"wavelength\": lens.wavelengths.primary_wavelength.value,\n",
                "}\n",
                "problem.add_operand(\n",
                "    operand_type=\"real_y_intercept_lcs\",\n",
                "    target=0.0,\n",
                "    weight=1,\n",
                "    input_data=input_data,\n",
                ")\n",
                "\n",
                "# Image surface - Real ray heights operands, in the lcs of the image surface\n",
                "# Center the image surface on its chief ray\n",
                "input_data = {\n",
                "    \"optic\": lens,\n",
                "    \"surface_number\": 4,\n",
                "    \"Hx\": 0,\n",
                "    \"Hy\": 0,\n",
                "    \"Px\": 0,\n",
                "    \"Py\": 0,\n",
                "    \"wavelength\": lens.wavelengths.primary_wavelength.value,\n",
                "}\n",
                "problem.add_operand(\n",
                "    operand_type=\"real_y_intercept_lcs\",\n",
                "    target=focal_length * np.tan(np.deg2rad(lens.fields.y_fields[0])),\n",
                "    weight=1,\n",
                "    input_data=input_data,\n",
                ")\n",
                "input_data = {\n",
                "    \"optic\": lens,\n",
                "    \"surface_number\": 4,\n",
                "    \"Hx\": 0,\n",
                "    \"Hy\": 1,\n",
                "    \"Px\": 0,\n",
                "    \"Py\": 0,\n",
                "    \"wavelength\": lens.wavelengths.primary_wavelength.value,\n",
                "}\n",
                "problem.add_operand(\n",
                "    operand_type=\"real_y_intercept_lcs\",\n",
                "    target=focal_length * np.tan(np.deg2rad(lens.fields.y_fields[1])),\n",
                "    weight=1,\n",
                "    input_data=input_data,\n",
                ")\n",
                "input_data = {\n",
                "    \"optic\": lens,\n",
                "    \"surface_number\": 4,\n",
                "    \"Hx\": 0,\n",
                "    \"Hy\": -1,\n",
                "    \"Px\": 0,\n",
                "    \"Py\": 0,\n",
                "    \"wavelength\": lens.wavelengths.primary_wavelength.value,\n",
                "}\n",
                "problem.add_operand(\n",
                "    operand_type=\"real_y_intercept_lcs\",\n",
                "    target=focal_length * np.tan(np.deg2rad(lens.fields.y_fields[2])),\n",
                "    weight=1,\n",
                "    input_data=input_data,\n",
                ")\n",
                "\n",
                "# RMS spot size - let's minimize the spot size for each field at the primary wavelength.\n",
                "# We choose a 'uniform' distribution, so the number of rays actually means the rays on\n",
                "# one axis. Therefore we trace \u224816^2 rays here.\n",
                "for field in lens.fields.get_field_coords():\n",
                "    input_data = {\n",
                "        \"optic\": lens,\n",
                "        \"surface_number\": 4,\n",
                "        \"Hx\": field[0],\n",
                "        \"Hy\": field[1],\n",
                "        \"num_rays\": 16,\n",
                "        \"wavelength\": 0.587,\n",
                "        \"distribution\": \"uniform\",\n",
                "    }\n",
                "    problem.add_operand(\n",
                "        operand_type=\"rms_spot_size\",\n",
                "        target=0.0,\n",
                "        weight=10,\n",
                "        input_data=input_data,\n",
                "    )\n",
                "\n",
                "problem.info()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Optimization"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Type                      \u2502   Radius \u2502   Thickness \u2502 Material   \u2502        Conic \u2502   Semi-aperture \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 Planar                    \u2502  inf     \u2502    inf      \u2502 Air        \u2502  0           \u2502         5       \u2502\n",
                        "\u2502  1 \u2502 Stop - Zernike Polynomial \u2502 -126.089 \u2502    -30.3923 \u2502 Mirror     \u2502 -0.0117211   \u2502         5       \u2502\n",
                        "\u2502  2 \u2502 Zernike Polynomial        \u2502 -101.251 \u2502     25.9284 \u2502 Mirror     \u2502  2.29e-05    \u2502         3.38547 \u2502\n",
                        "\u2502  3 \u2502 Zernike Polynomial        \u2502 -152.841 \u2502    -28.926  \u2502 Mirror     \u2502 -0.000157152 \u2502        15.4754  \u2502\n",
                        "\u2502  4 \u2502 Planar                    \u2502  inf     \u2502    nan      \u2502 Air        \u2502  0           \u2502        11.6735  \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n"
                    ]
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1000x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502   Merit Function Value \u2502   Improvement (%) \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502               0.154056 \u2502           97.5134 \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n",
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Operand Type         \u2502   Target \u2502 Min Bound   \u2502 Max Bound   \u2502   Weight \u2502   Value \u2502   Delta \u2502   Contrib. [%] \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502   0.033 \u2502   0.033 \u2502           0.72 \u2502\n",
                        "\u2502  1 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502  -0.026 \u2502  -0.026 \u2502           0.45 \u2502\n",
                        "\u2502  2 \u2502 real y intercept lcs \u2502    0     \u2502             \u2502             \u2502        1 \u2502   0.013 \u2502   0.013 \u2502           0.12 \u2502\n",
                        "\u2502  3 \u2502 real y intercept lcs \u2502    2.619 \u2502             \u2502             \u2502        1 \u2502   2.541 \u2502  -0.078 \u2502           3.91 \u2502\n",
                        "\u2502  4 \u2502 real y intercept lcs \u2502   -2.619 \u2502             \u2502             \u2502        1 \u2502  -2.544 \u2502   0.074 \u2502           3.6  \u2502\n",
                        "\u2502  5 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.015 \u2502   0.015 \u2502          14.21 \u2502\n",
                        "\u2502  6 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.023 \u2502   0.023 \u2502          34.68 \u2502\n",
                        "\u2502  7 \u2502 rms spot size        \u2502    0     \u2502             \u2502             \u2502       10 \u2502   0.026 \u2502   0.026 \u2502          42.33 \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n",
                        "\u2552\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2564\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2555\n",
                        "\u2502    \u2502 Variable Type   \u2502   Surface \u2502          Value \u2502   Min. Bound \u2502   Max. Bound \u2502\n",
                        "\u255e\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561\n",
                        "\u2502  0 \u2502 radius          \u2502         1 \u2502 -126.089       \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  1 \u2502 radius          \u2502         2 \u2502 -101.251       \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  2 \u2502 radius          \u2502         3 \u2502 -152.841       \u2502 -1000        \u2502  1000        \u2502\n",
                        "\u2502  3 \u2502 thickness       \u2502         1 \u2502  -30.3923      \u2502   -35        \u2502   -15        \u2502\n",
                        "\u2502  4 \u2502 thickness       \u2502         2 \u2502   25.9284      \u2502    15        \u2502    35        \u2502\n",
                        "\u2502  5 \u2502 thickness       \u2502         3 \u2502  -28.926       \u2502   -35        \u2502   -15        \u2502\n",
                        "\u2502  6 \u2502 decenter        \u2502         2 \u2502  -11.4549      \u2502   -15        \u2502   -10        \u2502\n",
                        "\u2502  7 \u2502 decenter        \u2502         3 \u2502  -15.1013      \u2502   -20        \u2502   -11        \u2502\n",
                        "\u2502  8 \u2502 decenter        \u2502         4 \u2502  -22.0291      \u2502   -28        \u2502   -22        \u2502\n",
                        "\u2502  9 \u2502 tilt            \u2502         1 \u2502   -0.242949    \u2502    -0.349066 \u2502    -0.20944  \u2502\n",
                        "\u2502 10 \u2502 tilt            \u2502         2 \u2502   -0.156667    \u2502    -0.261799 \u2502    -0.139626 \u2502\n",
                        "\u2502 11 \u2502 tilt            \u2502         3 \u2502   -0.0435276   \u2502    -0.174533 \u2502     0.174533 \u2502\n",
                        "\u2502 12 \u2502 conic           \u2502         1 \u2502   -0.0117211   \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 13 \u2502 conic           \u2502         2 \u2502    2.29e-05    \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 14 \u2502 conic           \u2502         3 \u2502   -0.000157152 \u2502   -10        \u2502    10        \u2502\n",
                        "\u2502 15 \u2502 zernike_coeff   \u2502         1 \u2502   -0.48074     \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 16 \u2502 zernike_coeff   \u2502         1 \u2502    0.347677    \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 17 \u2502 zernike_coeff   \u2502         1 \u2502    0.00173589  \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 18 \u2502 zernike_coeff   \u2502         1 \u2502   -0.0131347   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 19 \u2502 zernike_coeff   \u2502         2 \u2502    0.0629088   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 20 \u2502 zernike_coeff   \u2502         2 \u2502    0.178917    \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 21 \u2502 zernike_coeff   \u2502         2 \u2502   -0.0327047   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 22 \u2502 zernike_coeff   \u2502         2 \u2502   -0.0270168   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 23 \u2502 zernike_coeff   \u2502         3 \u2502    0.0304076   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 24 \u2502 zernike_coeff   \u2502         3 \u2502   -0.0353778   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 25 \u2502 zernike_coeff   \u2502         3 \u2502    0.00636789  \u2502    -1        \u2502     1        \u2502\n",
                        "\u2502 26 \u2502 zernike_coeff   \u2502         3 \u2502   -0.0956292   \u2502    -1        \u2502     1        \u2502\n",
                        "\u2558\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2567\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255b\n"
                    ]
                }
            ],
            "source": [
                "# Local optimizer\n",
                "optimizer = optimization.OptimizerGeneric(problem)\n",
                "res = optimizer.optimize(tol=1e-9)\n",
                "\n",
                "# Global optimizer\n",
                "# optimizer = optimization.DifferentialEvolution(problem)\n",
                "# res = optimizer.optimize(maxiter=100, workers=-1)\n",
                "\n",
                "lens.info()\n",
                "lens.draw(title=f\"Optimized {lens.name}\")\n",
                "problem.info()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1200x400 with 3 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "spot = analysis.SpotDiagram(lens)\n",
                "spot.view()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1200x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "from optiland.mtf import GeometricMTF\n",
                "\n",
                "geo_mtf = GeometricMTF(lens)\n",
                "geo_mtf.view()"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": ".venv",
            "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": "3.11.1"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}