{
    "cells": [
        {
            "cell_type": "markdown",
            "id": "625da6b2",
            "metadata": {},
            "source": [
                "# Tutorial 7e - Glass expert\n",
                "\n",
                "This tutorial aims at demonstrating Optiland's capabilities in performing optimization on glass materials, in order to suggest a good combination to the user.\n",
                "\n",
                "A description of `GlassExpert`'s architecture can be found in the documentation (Developer's Guide: [Categorical Optimization with Glass Expert](https://optiland.readthedocs.io/en/latest/developers_guide/optimization_framework.html#categorical-optimization-with-glass-expert))"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "b62da42a",
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "╒════╤═══════════════╤═══════════╤══════════╤═════════════╤════════════╤═════════╤═════════════════╕\n",
                        "│    │ Type          │ Comment   │   Radius │   Thickness │ Material   │   Conic │   Semi-aperture │\n",
                        "╞════╪═══════════════╪═══════════╪══════════╪═════════════╪════════════╪═════════╪═════════════════╡\n",
                        "│  0 │ Planar        │           │      inf │         inf │ Air        │       0 │        116.634  │\n",
                        "│  1 │ Standard      │           │     1000 │          25 │ N-BK7      │       0 │        116.634  │\n",
                        "│  2 │ Standard      │           │     1000 │           5 │ Air        │       0 │        111.531  │\n",
                        "│  3 │ Standard      │           │     1000 │          25 │ N-BK7      │       0 │        110.271  │\n",
                        "│  4 │ Planar        │           │      inf │          25 │ N-BK7      │       0 │        105.179  │\n",
                        "│  5 │ Standard      │           │     1000 │          25 │ Air        │       0 │        100.087  │\n",
                        "│  6 │ Stop - Planar │           │      inf │          25 │ Air        │       0 │         93.6559 │\n",
                        "│  7 │ Standard      │           │    -1000 │          25 │ N-BK7      │       0 │        100.023  │\n",
                        "│  8 │ Planar        │           │      inf │          25 │ N-BK7      │       0 │        105.073  │\n",
                        "│  9 │ Standard      │           │    -1000 │           5 │ Air        │       0 │        110.123  │\n",
                        "│ 10 │ Standard      │           │     1000 │          25 │ N-BK7      │       0 │        111.37   │\n",
                        "│ 11 │ Standard      │           │    -1000 │         200 │ Air        │       0 │        114.533  │\n",
                        "│ 12 │ Planar        │           │      inf │         nan │ Air        │       0 │        141.078  │\n",
                        "╘════╧═══════════════╧═══════════╧══════════╧═════════════╧════════════╧═════════╧═════════════════╛\n"
                    ]
                },
                {
                    "data": {
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",
                        "text/plain": [
                            "<Figure size 1000x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "import optiland.backend as be\n",
                "from optiland import optic, optimization\n",
                "from optiland.materials import glasses_selection\n",
                "\n",
                "target_focal_length = 100  # [mm]\n",
                "\n",
                "\n",
                "class SixLensesStartPoint(optic.Optic):\n",
                "    \"\"\"A 6 lens design with very poor quality meant to be optimized.\"\"\"\n",
                "\n",
                "    def __init__(self):\n",
                "        super().__init__()\n",
                "\n",
                "        self.surfaces.add(index=0, radius=be.inf, thickness=be.inf)\n",
                "        self.surfaces.add(index=1, radius=1000, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=2, radius=1000, thickness=5.0)\n",
                "        self.surfaces.add(index=3, radius=1000, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=4, radius=be.inf, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=5, radius=1000, thickness=25)\n",
                "        self.surfaces.add(index=6, radius=be.inf, thickness=25.0, is_stop=True)\n",
                "        self.surfaces.add(index=7, radius=-1000, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=8, radius=be.inf, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=9, radius=-1000, thickness=5.0)\n",
                "        self.surfaces.add(index=10, radius=1000, thickness=25, material=\"N-BK7\")\n",
                "        self.surfaces.add(index=11, radius=-1000, thickness=200)\n",
                "        self.surfaces.add(index=12)\n",
                "\n",
                "        self.set_aperture(aperture_type=\"imageFNO\", value=5)\n",
                "        self.fields.set_type(field_type=\"angle\")\n",
                "\n",
                "        self.fields.add(y=-14)\n",
                "        self.fields.add(y=-10)\n",
                "        self.fields.add(y=0)\n",
                "        self.fields.add(y=10)\n",
                "        self.fields.add(y=14)\n",
                "\n",
                "        self.wavelengths.add(value=0.4861)\n",
                "        self.wavelengths.add(value=0.5876, is_primary=True)\n",
                "        self.wavelengths.add(value=0.6563)\n",
                "\n",
                "\n",
                "lens = SixLensesStartPoint()\n",
                "lens.draw(title=\"Starting lens\")\n",
                "lens.info()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "206326f6",
            "metadata": {},
            "source": [
                "#### Operands"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "dcc528ff",
            "metadata": {},
            "outputs": [],
            "source": [
                "problem = optimization.OptimizationProblem()\n",
                "\n",
                "# Real ray height to define the focal length\n",
                "for k, hy in enumerate([-1, -0.714, 0, 0.714, 1]):\n",
                "    input_data = {\n",
                "        \"optic\": lens,\n",
                "        \"surface_number\": 12,\n",
                "        \"Hx\": 0,\n",
                "        \"Hy\": hy,\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=target_focal_length * be.tan(be.deg2rad(lens.fields.y_fields[k])),\n",
                "        weight=1,\n",
                "        input_data=input_data,\n",
                "    )\n",
                "\n",
                "# RMS spot size - 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 ≈16^2 rays here.\n",
                "for field in lens.fields.get_field_coords():\n",
                "    input_data = {\n",
                "        \"optic\": lens,\n",
                "        \"surface_number\": 12,\n",
                "        \"Hx\": field[0],\n",
                "        \"Hy\": field[1],\n",
                "        \"num_rays\": 16,\n",
                "        \"wavelength\": lens.wavelengths.primary_wavelength.value,\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",
                "    )"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "66b3709a",
            "metadata": {},
            "source": [
                "#### Variables"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "id": "60f58a06",
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "╒════╤════════════════════════╤═══════════════════╕\n",
                        "│    │   Merit Function Value │   Improvement (%) │\n",
                        "╞════╪════════════════════════╪═══════════════════╡\n",
                        "│  0 │            1.30983e+06 │                 0 │\n",
                        "╘════╧════════════════════════╧═══════════════════╛\n",
                        "╒════╤══════════════════════╤══════════╤══════════════╤══════════════╤══════════╤═════════╤═════════╤════════════════╕\n",
                        "│    │ Operand Type         │   Target │ Min. Bound   │ Max. Bound   │   Weight │   Value │   Delta │   Contrib. [%] │\n",
                        "╞════╪══════════════════════╪══════════╪══════════════╪══════════════╪══════════╪═════════╪═════════╪════════════════╡\n",
                        "│  0 │ real y intercept lcs │  -24.933 │              │              │        1 │ -66.148 │ -41.215 │           0.13 │\n",
                        "│  1 │ real y intercept lcs │  -17.633 │              │              │        1 │ -46.975 │ -29.342 │           0.07 │\n",
                        "│  2 │ real y intercept lcs │    0     │              │              │        1 │   0     │   0     │           0    │\n",
                        "│  3 │ real y intercept lcs │   17.633 │              │              │        1 │  46.975 │  29.342 │           0.07 │\n",
                        "│  4 │ real y intercept lcs │   24.933 │              │              │        1 │  66.148 │  41.215 │           0.13 │\n",
                        "│  5 │ rms spot size        │    0     │              │              │       10 │  50.701 │  50.701 │          19.63 │\n",
                        "│  6 │ rms spot size        │    0     │              │              │       10 │  51.176 │  51.176 │          19.99 │\n",
                        "│  7 │ rms spot size        │    0     │              │              │       10 │  51.653 │  51.653 │          20.37 │\n",
                        "│  8 │ rms spot size        │    0     │              │              │       10 │  51.176 │  51.176 │          19.99 │\n",
                        "│  9 │ rms spot size        │    0     │              │              │       10 │  50.701 │  50.701 │          19.63 │\n",
                        "╘════╧══════════════════════╧══════════╧══════════════╧══════════════╧══════════╧═════════╧═════════╧════════════════╛\n",
                        "╒════╤═════════════════╤═══════════╤═════════╤══════════════╤══════════════╕\n",
                        "│    │ Variable Type   │   Surface │ Value   │   Min. Bound │   Max. Bound │\n",
                        "╞════╪═════════════════╪═══════════╪═════════╪══════════════╪══════════════╡\n",
                        "│  0 │ radius          │         1 │ 1000.0  │       -500   │          500 │\n",
                        "│  1 │ radius          │         2 │ 1000.0  │       -500   │          500 │\n",
                        "│  2 │ radius          │         3 │ 1000.0  │       -500   │          500 │\n",
                        "│  3 │ radius          │         5 │ 1000.0  │       -500   │          500 │\n",
                        "│  4 │ radius          │         7 │ -1000.0 │       -500   │          500 │\n",
                        "│  5 │ radius          │         9 │ -1000.0 │       -500   │          500 │\n",
                        "│  6 │ radius          │        10 │ 1000.0  │       -500   │          500 │\n",
                        "│  7 │ radius          │        11 │ -1000.0 │       -500   │          500 │\n",
                        "│  8 │ thickness       │         1 │ 25.0    │          8   │           20 │\n",
                        "│  9 │ thickness       │         2 │ 5.0     │          0.4 │            5 │\n",
                        "│ 10 │ thickness       │         3 │ 25.0    │          8   │           20 │\n",
                        "│ 11 │ thickness       │         4 │ 25.0    │          3   │           10 │\n",
                        "│ 12 │ thickness       │         5 │ 25.0    │         10   │           20 │\n",
                        "│ 13 │ thickness       │         6 │ 25.0    │         10   │           20 │\n",
                        "│ 14 │ thickness       │         7 │ 25.0    │          3   │           20 │\n",
                        "│ 15 │ thickness       │         8 │ 25.0    │          8   │           20 │\n",
                        "│ 16 │ thickness       │         9 │ 5.0     │          0.4 │            5 │\n",
                        "│ 17 │ thickness       │        10 │ 25.0    │          6   │           20 │\n",
                        "│ 18 │ thickness       │        11 │ 200.0   │         20   │           45 │\n",
                        "│ 19 │ material        │         1 │ N-BK7   │        nan   │          nan │\n",
                        "│ 20 │ material        │         3 │ N-BK7   │        nan   │          nan │\n",
                        "│ 21 │ material        │         4 │ N-BK7   │        nan   │          nan │\n",
                        "│ 22 │ material        │         7 │ N-BK7   │        nan   │          nan │\n",
                        "│ 23 │ material        │         8 │ N-BK7   │        nan   │          nan │\n",
                        "│ 24 │ material        │        10 │ N-BK7   │        nan   │          nan │\n",
                        "╘════╧═════════════════╧═══════════╧═════════╧══════════════╧══════════════╛\n"
                    ]
                }
            ],
            "source": [
                "# Radii\n",
                "problem.add_variable(lens, \"radius\", surface_number=1, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=2, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=3, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=5, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=7, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=9, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=10, min_val=-500, max_val=500)\n",
                "problem.add_variable(lens, \"radius\", surface_number=11, min_val=-500, max_val=500)\n",
                "\n",
                "# Thicknesses\n",
                "problem.add_variable(lens, \"thickness\", surface_number=1, min_val=8, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=2, min_val=0.4, max_val=5)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=3, min_val=8, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=4, min_val=3, max_val=10)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=5, min_val=10, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=6, min_val=10, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=7, min_val=3, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=8, min_val=8, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=9, min_val=0.4, max_val=5)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=10, min_val=6, max_val=20)\n",
                "problem.add_variable(lens, \"thickness\", surface_number=11, min_val=20, max_val=45)\n",
                "\n",
                "# First option: treat glass indexes as continuous variables\n",
                "# Fast but produces fictious glasses that later need to be replaced by real glasses\n",
                "# problem.add_variable(lens, \"index\", surface_number=1,  wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "# problem.add_variable(lens, \"index\", surface_number=3,  wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "# problem.add_variable(lens, \"index\", surface_number=4,  wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "# problem.add_variable(lens, \"index\", surface_number=7,  wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "# problem.add_variable(lens, \"index\", surface_number=8,  wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "# problem.add_variable(lens, \"index\", surface_number=10, wavelength=0.5876, min_val=1.4, max_val=2.0)\n",
                "\n",
                "# Second option: use Optiland's Glass Expert to find the best combination\n",
                "glasses = glasses_selection(0.4, 0.7, catalogs=[\"schott\", \"ohara\"])\n",
                "problem.add_variable(lens, \"material\", surface_number=1, glass_selection=glasses)\n",
                "problem.add_variable(lens, \"material\", surface_number=3, glass_selection=glasses)\n",
                "problem.add_variable(lens, \"material\", surface_number=4, glass_selection=glasses)\n",
                "problem.add_variable(lens, \"material\", surface_number=7, glass_selection=glasses)\n",
                "problem.add_variable(lens, \"material\", surface_number=8, glass_selection=glasses)\n",
                "problem.add_variable(lens, \"material\", surface_number=10, glass_selection=glasses)\n",
                "\n",
                "problem.info()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "c527fe8e",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1000x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {},
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Initial error function value: 1309831.7\n",
                        "Initial glasses combination: ['N-BK7', 'N-BK7', 'N-BK7', 'N-BK7', 'N-BK7', 'N-BK7']\n",
                        "\n",
                        "----------------------------------------------------------------------\n",
                        "Global exploration\n",
                        "\n",
                        "Selecting Material, Surface 1:\n",
                        "\tTrying TIH23    as Material, Surface 1. Error function value: 737.92\n",
                        "\tTrying N-LAK8   as Material, Surface 1. Error function value: 738.41\n",
                        "\tTrying P-PK53   as Material, Surface 1. Error function value: 19.48\n",
                        "\tTrying N-FK51   as Material, Surface 1. Error function value: 401.58\n",
                        "\tTrying S-NBH52V as Material, Surface 1. Error function value: 724.47\n",
                        "\tTrying L-BAL42  as Material, Surface 1. Error function value: 2917.68\n",
                        "\tTrying S-LAH65VS as Material, Surface 1. Error function value: 740.22\n",
                        "\t-> Selected P-PK53 as Material, Surface 1.\n",
                        "\tNew combination: ['P-PK53', 'N-BK7', 'N-BK7', 'N-BK7', 'N-BK7', 'N-BK7']\n",
                        "\tBest error function value: 19.48 (-100%).\n",
                        "\n",
                        "Selecting Material, Surface 3:\n",
                        "\tTrying TIH23    as Material, Surface 3. Error function value: 1.69\n",
                        "\tTrying N-LAK8   as Material, Surface 3. Error function value: 1.48\n",
                        "\tTrying P-PK53   as Material, Surface 3. Error function value: 1.35\n",
                        "\tTrying N-FK51   as Material, Surface 3. Error function value: 16.87\n",
                        "\tTrying S-NBH52V as Material, Surface 3. Error function value: 18.13\n",
                        "\tTrying L-BAL42  as Material, Surface 3. Error function value: 1.47\n",
                        "\tTrying S-LAH65VS as Material, Surface 3. Error function value: 17.82\n",
                        "\t-> Selected P-PK53 as Material, Surface 3.\n",
                        "\tNew combination: ['P-PK53', 'P-PK53', 'N-BK7', 'N-BK7', 'N-BK7', 'N-BK7']\n",
                        "\tBest error function value: 1.35 (-93%).\n",
                        "\n",
                        "Selecting Material, Surface 4:\n",
                        "\tTrying TIH23    as Material, Surface 4. Error function value: 1.32\n",
                        "\tTrying N-LAK8   as Material, Surface 4. Error function value: 1.36\n",
                        "\tTrying P-PK53   as Material, Surface 4. Error function value: 1.35\n",
                        "\tTrying N-FK51   as Material, Surface 4. Error function value: 1.35\n",
                        "\tTrying S-NBH52V as Material, Surface 4. Error function value: 1.36\n",
                        "\tTrying L-BAL42  as Material, Surface 4. Error function value: 1.35\n",
                        "\tTrying S-LAH65VS as Material, Surface 4. Error function value: 1.33\n",
                        "\t-> Selected TIH23 as Material, Surface 4.\n",
                        "\tNew combination: ['P-PK53', 'P-PK53', 'TIH23', 'N-BK7', 'N-BK7', 'N-BK7']\n",
                        "\tBest error function value: 1.32 (-2%).\n",
                        "\n",
                        "Selecting Material, Surface 7:\n",
                        "\tTrying TIH23    as Material, Surface 7. Error function value: 1.38\n",
                        "\tTrying N-LAK8   as Material, Surface 7. Error function value: 1.36\n",
                        "\tTrying P-PK53   as Material, Surface 7. Error function value: 1.33\n",
                        "\tTrying N-FK51   as Material, Surface 7. Error function value: 1.32\n",
                        "\tTrying S-NBH52V as Material, Surface 7. Error function value: 1.35\n",
                        "\tTrying L-BAL42  as Material, Surface 7. Error function value: 1.33\n",
                        "\tTrying S-LAH65VS as Material, Surface 7. Error function value: 1.38\n",
                        "\t-> Selected N-FK51 as Material, Surface 7.\n",
                        "\tNew combination: ['P-PK53', 'P-PK53', 'TIH23', 'N-FK51', 'N-BK7', 'N-BK7']\n",
                        "\tBest error function value: 1.32 (-0%).\n",
                        "\n",
                        "Selecting Material, Surface 8:\n",
                        "\tTrying TIH23    as Material, Surface 8. Error function value: 1.23\n",
                        "\tTrying N-LAK8   as Material, Surface 8. Error function value: 1.26\n",
                        "\tTrying P-PK53   as Material, Surface 8. Error function value: 1.32\n",
                        "\tTrying N-FK51   as Material, Surface 8. Error function value: 1.33\n",
                        "\tTrying S-NBH52V as Material, Surface 8. Error function value: 1.25\n",
                        "\tTrying L-BAL42  as Material, Surface 8. Error function value: 1.30\n",
                        "\tTrying S-LAH65VS as Material, Surface 8. Error function value: 1.23\n",
                        "\t-> Selected S-LAH65VS as Material, Surface 8.\n",
                        "\tNew combination: ['P-PK53', 'P-PK53', 'TIH23', 'N-FK51', 'S-LAH65VS', 'N-BK7']\n",
                        "\tBest error function value: 1.23 (-7%).\n",
                        "\n",
                        "Selecting Material, Surface 10:\n",
                        "\tTrying TIH23    as Material, Surface 10. Error function value: 1.12\n",
                        "\tTrying N-LAK8   as Material, Surface 10. Error function value: 1.18\n",
                        "\tTrying P-PK53   as Material, Surface 10. Error function value: 1.22\n",
                        "\tTrying N-FK51   as Material, Surface 10. Error function value: 1.24\n",
                        "\tTrying S-NBH52V as Material, Surface 10. Error function value: 1.18\n",
                        "\tTrying L-BAL42  as Material, Surface 10. Error function value: 1.21\n",
                        "\tTrying S-LAH65VS as Material, Surface 10. Error function value: 1.13\n",
                        "\t-> Selected TIH23 as Material, Surface 10.\n",
                        "\tNew combination: ['P-PK53', 'P-PK53', 'TIH23', 'N-FK51', 'S-LAH65VS', 'TIH23']\n",
                        "\tBest error function value: 1.12 (-9%).\n",
                        "\n",
                        "\n",
                        "----------------------------------------------------------------------\n",
                        "Local exploration\n",
                        "\n",
                        "Selecting Material, Surface 1:\n",
                        "\tTrying FSL3     as Material, Surface 1. Error function value: 1.14\n",
                        "\tTrying FK3      as Material, Surface 1. Error function value: 1.26\n",
                        "\tTrying BSL21    as Material, Surface 1. Error function value: 1.19\n",
                        "\tTrying N-BK10   as Material, Surface 1. Error function value: 1.18\n",
                        "\tTrying PHM53    as Material, Surface 1. Error function value: 0.99\n",
                        "\tTrying S-PHM53  as Material, Surface 1. Error function value: 0.99\n",
                        "\tTrying BSL22    as Material, Surface 1. Error function value: 1.14\n",
                        "\t-> Selected S-PHM53 as Material, Surface 1.\n",
                        "\tNew combination: ['S-PHM53', 'P-PK53', 'TIH23', 'N-FK51', 'S-LAH65VS', 'TIH23']\n",
                        "\tBest error function value: 0.99 (-11%).\n",
                        "\n",
                        "Selecting Material, Surface 3:\n",
                        "\tTrying FSL3     as Material, Surface 3. Error function value: 0.98\n",
                        "\tTrying FK3      as Material, Surface 3. Error function value: 0.99\n",
                        "\tTrying BSL21    as Material, Surface 3. Error function value: 0.96\n",
                        "\tTrying N-BK10   as Material, Surface 3. Error function value: 0.99\n",
                        "\tTrying PHM53    as Material, Surface 3. Error function value: 0.96\n",
                        "\tTrying S-PHM53  as Material, Surface 3. Error function value: 0.98\n",
                        "\tTrying BSL22    as Material, Surface 3. Error function value: 0.98\n",
                        "\t-> Selected BSL21 as Material, Surface 3.\n",
                        "\tNew combination: ['S-PHM53', 'BSL21', 'TIH23', 'N-FK51', 'S-LAH65VS', 'TIH23']\n",
                        "\tBest error function value: 0.96 (-4%).\n",
                        "\n",
                        "Selecting Material, Surface 4:\n",
                        "\tTrying S-TIH23  as Material, Surface 4. Error function value: 0.96\n",
                        "\tTrying PBH23    as Material, Surface 4. Error function value: 0.96\n",
                        "\tTrying PBH23W   as Material, Surface 4. Error function value: 0.96\n",
                        "\tTrying N-SF56   as Material, Surface 4. Error function value: 0.96\n",
                        "\tTrying SF56A    as Material, Surface 4. Error function value: 0.96\n",
                        "\tTrying S-TIH14  as Material, Surface 4. Error function value: 0.95\n",
                        "\tTrying TIH14    as Material, Surface 4. Error function value: 0.95\n",
                        "\t-> Selected TIH14 as Material, Surface 4.\n",
                        "\tNew combination: ['S-PHM53', 'BSL21', 'TIH14', 'N-FK51', 'S-LAH65VS', 'TIH23']\n",
                        "\tBest error function value: 0.95 (-0%).\n",
                        "\n",
                        "Selecting Material, Surface 7:\n",
                        "\tTrying N-FK51A  as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying FPL51    as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying N-PK52A  as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying S-FPL51  as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying S-FPL51Y as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying S-FPL52  as Material, Surface 7. Error function value: 0.95\n",
                        "\tTrying FPL52    as Material, Surface 7. Error function value: 0.95\n",
                        "\t-> Selected S-FPL52 as Material, Surface 7.\n",
                        "\tNew combination: ['S-PHM53', 'BSL21', 'TIH14', 'S-FPL52', 'S-LAH65VS', 'TIH23']\n",
                        "\tBest error function value: 0.95 (-0%).\n",
                        "\n",
                        "Selecting Material, Surface 8:\n",
                        "\tTrying N-LASF44 as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying S-LAH65  as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying LAH65    as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying S-LAH65V as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying S-LAH59  as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying LAH59    as Material, Surface 8. Error function value: 0.95\n",
                        "\tTrying N-BAF52  as Material, Surface 8. Error function value: 0.98\n",
                        "\t-> Selected LAH59 as Material, Surface 8.\n",
                        "\tNew combination: ['S-PHM53', 'BSL21', 'TIH14', 'S-FPL52', 'LAH59', 'TIH23']\n",
                        "\tBest error function value: 0.95 (-0%).\n",
                        "\n",
                        "Selecting Material, Surface 10:\n",
                        "\tTrying S-TIH23  as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying PBH23    as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying PBH23W   as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying N-SF56   as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying SF56A    as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying S-TIH14  as Material, Surface 10. Error function value: 0.95\n",
                        "\tTrying TIH14    as Material, Surface 10. Error function value: 0.95\n",
                        "\t-> Selected N-SF56 as Material, Surface 10.\n",
                        "\tNew combination: ['S-PHM53', 'BSL21', 'TIH14', 'S-FPL52', 'LAH59', 'N-SF56']\n",
                        "\tBest error function value: 0.95 (-0%).\n",
                        "\n",
                        "╒════╤═══════════════╤═══════════╤═══════════╤═════════════╤════════════╤═════════╤═════════════════╕\n",
                        "│    │ Type          │ Comment   │    Radius │   Thickness │ Material   │   Conic │   Semi-aperture │\n",
                        "╞════╪═══════════════╪═══════════╪═══════════╪═════════════╪════════════╪═════════╪═════════════════╡\n",
                        "│  0 │ Planar        │           │  inf      │  inf        │ Air        │       0 │        24.2986  │\n",
                        "│  1 │ Standard      │           │   48.0692 │   13.736    │ S-PHM53    │       0 │        24.2986  │\n",
                        "│  2 │ Standard      │           │  164.247  │    0.442024 │ Air        │       0 │        19.5503  │\n",
                        "│  3 │ Standard      │           │  372.861  │   15.5605   │ BSL21      │       0 │        19.337   │\n",
                        "│  4 │ Planar        │           │  inf      │    9.89194  │ TIH14      │       0 │        14.0754  │\n",
                        "│  5 │ Standard      │           │  228.955  │   10.0433   │ Air        │       0 │        11.2204  │\n",
                        "│  6 │ Stop - Planar │           │  inf      │   10.0471   │ Air        │       0 │         6.48839 │\n",
                        "│  7 │ Standard      │           │ -387.184  │    8.84993  │ S-FPL52    │       0 │         9.5793  │\n",
                        "│  8 │ Planar        │           │  inf      │   13.7508   │ LAH59      │       0 │        11.5178  │\n",
                        "│  9 │ Standard      │           │ -405.699  │    0.446604 │ Air        │       0 │        13.9327  │\n",
                        "│ 10 │ Standard      │           │  406.228  │   17.1103   │ N-SF56     │       0 │        14.0626  │\n",
                        "│ 11 │ Standard      │           │ -435.409  │   35.6867   │ Air        │       0 │        16.5911  │\n",
                        "│ 12 │ Planar        │           │  inf      │  nan        │ Air        │       0 │        24.9359  │\n",
                        "╘════╧═══════════════╧═══════════╧═══════════╧═════════════╧════════════╧═════════╧═════════════════╛\n"
                    ]
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1000x400 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "import matplotlib.pyplot as plt\n",
                "from IPython.display import display\n",
                "\n",
                "# As the problem has glass variables, we must use GlassExpert\n",
                "optimizer = optimization.GlassExpert(problem)\n",
                "\n",
                "# Create persistent outputs\n",
                "fig_handle1 = display(display_id=True)\n",
                "fig_handle2 = display(display_id=True)\n",
                "fig_handle3 = display(display_id=True)\n",
                "\n",
                "# Draw the starting lens\n",
                "lens_fig = lens.draw(title=\"Starting lens\")\n",
                "fig_handle1.update(lens_fig)\n",
                "plt.close(lens_fig)\n",
                "print(f\"Initial error function value: {problem.initial_value:.1f}\")\n",
                "\n",
                "# Define a callback that is called at each iteration of the local optimizer run.\n",
                "# Used for vizualization purposes but is not recommended\n",
                "# as it greatly slows down the optimization.\n",
                "\n",
                "history = []\n",
                "\n",
                "\n",
                "def callback(*args):\n",
                "    # Plot the lens at each merit function call\n",
                "    lens_fig = lens.draw(title=\"Lens optimization\")\n",
                "    fig_handle2.update(lens_fig)\n",
                "    plt.close(lens_fig)\n",
                "\n",
                "    # Plot merit function evolution\n",
                "    f_val = optimizer.problem.sum_squared()\n",
                "    history.append(f_val)\n",
                "    erf_fig, ax = plt.subplots()\n",
                "    ax.plot(history, color=\"black\")\n",
                "    plt.yscale(\"log\")\n",
                "    ax.set_title(\"Merit function value\")\n",
                "    ax.set_xlabel(\"Iteration\")\n",
                "    ax.set_ylabel(\"Merit function value\")\n",
                "    ax.grid(alpha=0.25)\n",
                "    fig_handle3.update(erf_fig)\n",
                "    plt.close(erf_fig)\n",
                "\n",
                "    # Clear the figure to free memory\n",
                "    del lens_fig  # Remove Python reference\n",
                "    del erf_fig  # Remove Python reference\n",
                "    import gc\n",
                "\n",
                "    gc.collect()  # Force garbage collection\n",
                "\n",
                "\n",
                "# Optimize the 6 lenses starting point\n",
                "res = optimizer.run(\n",
                "    num_neighbours=7,\n",
                "    maxiter=100,\n",
                "    tol=1e-6,\n",
                "    callback=callback,\n",
                "    verbose=True,\n",
                "    plot_glass_map=False,\n",
                ")\n",
                "\n",
                "# Display the optimized lens\n",
                "lens.draw(title=\"Optimized lens\")\n",
                "lens.info()"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "conda_optiland",
            "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": "3.11.11"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}