{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1b2c3d4",
   "metadata": {},
   "source": [
    "# Advanced Topics\n",
    "\n",
    "This notebook covers lower-level features for users who need fine-grained control\n",
    "over the NSQ simulation:\n",
    "\n",
    "1. **Coordinate system tilts and decenters** — rotating and shifting components\n",
    "2. **Raw component construction** — building surfaces directly from geometry primitives\n",
    "3. **RayDatabase analysis** — post-processing phase-space data\n",
    "4. **Scene validation and diagnostics**\n",
    "5. **Tips for large simulations** — batch size, memory, and performance\n",
    "6. **Rare-path sampling** — biasing ray budget toward faint ghosts without changing the answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2c3d4e5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:37.966284Z",
     "iopub.status.busy": "2026-08-18T17:46:37.966284Z",
     "iopub.status.idle": "2026-08-18T17:46:41.313682Z",
     "shell.execute_reply": "2026-08-18T17:46:41.313682Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from optiland.coordinate_system import CoordinateSystem\n",
    "from optiland.nonsequential import (\n",
    "    NSQScene, Spectrum,\n",
    "    CollimatedSourceConfig, PointSourceConfig,\n",
    "    IrradianceDetectorConfig, RayDatabaseConfig,\n",
    "    LensConfig,\n",
    "    RefractiveComponent,\n",
    "    NSQMaterial, VACUUM,\n",
    ")\n",
    "from optiland.nonsequential.components.geometry.analytic.sphere import SphereGeometry\n",
    "from optiland.nonsequential.ir.scene_ir import SamplingPolicy\n",
    "\n",
    "spec = Spectrum.monochromatic(0.55)\n",
    "\n",
    "# The demo singlet: biconvex N-BK7, f = 49.1 mm, back focal distance 47.4 mm\n",
    "# from the rear vertex. Front vertex at z = 0 plus 5 mm centre thickness puts\n",
    "# the focus at z = 52.4 mm, which is where detectors go unless a cell is\n",
    "# deliberately looking at the beam away from focus.\n",
    "DEMO_LENS = LensConfig(r1=50, r2=-50, thickness=5, material='N-BK7',\n",
    "                       front_aperture_radius=12.5)\n",
    "FOCUS_Z = 52.4\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3d4e5f6",
   "metadata": {},
   "source": [
    "## 1. Coordinate System Tilts and Decenters\n",
    "\n",
    "Every component, source, and detector has a `CoordinateSystem` that defines its\n",
    "position (`x`, `y`, `z` in mm) and orientation (`rx`, `ry`, `rz` in radians).\n",
    "\n",
    "| Parameter | Effect |\n",
    "|---|---|\n",
    "| `x`, `y`, `z` | Translate the element origin |\n",
    "| `rx` | Rotate around the x-axis (tilt in YZ plane) |\n",
    "| `ry` | Rotate around the y-axis (tilt in XZ plane) |\n",
    "| `rz` | Rotate around the z-axis (twist) |\n",
    "\n",
    "Rotations apply in the order rx → ry → rz (extrinsic Euler angles).\n",
    "\n",
    "Tilting a rotationally symmetric lens breaks that symmetry, and the spot picks\n",
    "up the aberrations of an off-axis field: the centroid walks off axis, and the\n",
    "spot grows a one-sided comatic flare along the tilt axis.\n",
    "\n",
    "Two things make or break this measurement. The detector has to be **at focus** —\n",
    "at z = 100 mm this lens produces a 7.5 mm defocus blur, and a few tenths of a\n",
    "millimetre of coma on top of that is invisible. And the maps need a **shared\n",
    "colour scale**, or matplotlib renormalises each panel and hides the very\n",
    "difference you are looking for.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d4e5f6a7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:41.315801Z",
     "iopub.status.busy": "2026-08-18T17:46:41.315801Z",
     "iopub.status.idle": "2026-08-18T17:46:45.128083Z",
     "shell.execute_reply": "2026-08-18T17:46:45.128083Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x440 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tilt  0.0°: centroid y = +0.000 mm, rms radius = 0.355 mm\n",
      "tilt 10.0°: centroid y = -0.365 mm, rms radius = 0.574 mm\n",
      "tilt 20.0°: centroid y = -0.737 mm, rms radius = 1.281 mm\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def lens_spot(rx_deg=0.0, n_rays=200_000, half_width=3.0):\n",
    "    \"\"\"Trace the demo singlet tilted by rx_deg; detector at focus.\n",
    "\n",
    "    Returns the RayDatabase. Note the single detector: detectors absorb, so a\n",
    "    RayDatabase stacked in front of an IrradianceDetector would swallow every\n",
    "    ray and leave the irradiance map empty. Everything below is derived from\n",
    "    the one phase-space record instead.\n",
    "    \"\"\"\n",
    "    scene = NSQScene()\n",
    "    scene.add_source(\n",
    "        'S', CoordinateSystem(z=-80),\n",
    "        CollimatedSourceConfig(spec, total_flux=1.0, aperture_radius=10.0),\n",
    "    )\n",
    "    scene.add_lens('L', CoordinateSystem(z=0, rx=np.radians(rx_deg)), DEMO_LENS)\n",
    "    scene.add_detector(\n",
    "        'RDB', CoordinateSystem(z=FOCUS_Z),\n",
    "        RayDatabaseConfig(width=2 * half_width, height=2 * half_width),\n",
    "    )\n",
    "    return scene.trace(num_rays=n_rays, seed=42).detectors['RDB']\n",
    "\n",
    "\n",
    "def spot_stats(db):\n",
    "    \"\"\"Flux-weighted centroid and rms radius of a RayDatabase spot.\"\"\"\n",
    "    cx = np.average(db.x, weights=db.flux)\n",
    "    cy = np.average(db.y, weights=db.flux)\n",
    "    rms = np.sqrt(np.average((db.x - cx)**2 + (db.y - cy)**2, weights=db.flux))\n",
    "    return cx, cy, rms\n",
    "\n",
    "\n",
    "tilts = [0.0, 10.0, 20.0]\n",
    "dbs = [lens_spot(rx) for rx in tilts]\n",
    "\n",
    "# Bin each database onto a common grid so the panels are directly comparable.\n",
    "HALF = 3.0\n",
    "edges = np.linspace(-HALF, HALF, 193)\n",
    "pixel_area = (edges[1] - edges[0]) ** 2\n",
    "maps = [np.histogram2d(db.y, db.x, bins=[edges, edges],\n",
    "                       weights=db.flux)[0] / pixel_area for db in dbs]\n",
    "vmax = max(m.max() for m in maps)\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(14, 4.4))\n",
    "for ax, rx, db, E in zip(axes, tilts, dbs, maps):\n",
    "    cx, cy, rms = spot_stats(db)\n",
    "    im = ax.imshow(E, origin='lower', cmap='hot', aspect='equal',\n",
    "                   extent=[-HALF, HALF, -HALF, HALF], vmin=0, vmax=vmax)\n",
    "    plt.colorbar(im, ax=ax, label='W/mm$^2$')\n",
    "    ax.set_title(f'tilt {rx:g}\\u00b0  |  centroid y = {cy:+.3f} mm\\n'\n",
    "                 f'rms radius = {rms:.3f} mm')\n",
    "    ax.set_xlabel('x [mm]'); ax.set_ylabel('y [mm]')\n",
    "plt.suptitle('Lens tilt about x, spot at focus (shared colour scale)', fontsize=12)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "\n",
    "for rx, db in zip(tilts, dbs):\n",
    "    cx, cy, rms = spot_stats(db)\n",
    "    print(f\"tilt {rx:4.1f}\\u00b0: centroid y = {cy:+.3f} mm, rms radius = {rms:.3f} mm\")\n",
    "\n",
    "# The same scene, seen from the side.\n",
    "scene_tilt = NSQScene()\n",
    "scene_tilt.add_source('S', CoordinateSystem(z=-80),\n",
    "                      CollimatedSourceConfig(spec, total_flux=1.0,\n",
    "                                             aperture_radius=10.0))\n",
    "scene_tilt.add_lens('L', CoordinateSystem(z=0, rx=np.radians(20)), DEMO_LENS)\n",
    "scene_tilt.add_detector('D', CoordinateSystem(z=FOCUS_Z),\n",
    "                        IrradianceDetectorConfig(width=6, height=6))\n",
    "scene_tilt.view(num_rays=60, color_by='bounce',\n",
    "                title='Singlet tilted 20\\u00b0 about x')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5f6a7b8",
   "metadata": {},
   "source": [
    "## 2. Raw Component Construction\n",
    "\n",
    "For geometries not covered by `Lens`, `Mirror`, or `Doublet`, you can construct\n",
    "raw `BaseComponent` objects directly from geometry primitives and register them\n",
    "via `scene.add_component()`.\n",
    "\n",
    "Available geometry classes:\n",
    "\n",
    "| Geometry | Shape, in its own coordinate system |\n",
    "|---|---|\n",
    "| `FinitePlaneGeometry(width, height)` | rectangular flat surface at z = 0 |\n",
    "| `AnnularPlaneGeometry(inner_radius, outer_radius)` | annular flat surface at z = 0 |\n",
    "| `SphereGeometry(radius, aperture_radius)` | **complete sphere centred on the origin** |\n",
    "| `ConicGeometry(radius, conic, aperture_radius)` | conic surface, vertex at z = 0 |\n",
    "| `CylindricalFrustumGeometry(r_front, r_back, z_front, z_back)` | barrel surface |\n",
    "\n",
    "`SphereGeometry` is the one that catches people out. It is a whole sphere\n",
    "centred at the origin of its coordinate system — not a vertex-at-origin cap like\n",
    "`ConicGeometry` — so its poles sit at z = ±`radius`, and the sign of `radius` is\n",
    "irrelevant. That makes it the natural primitive for a **solid**: one component,\n",
    "crossed twice.\n",
    "\n",
    "A `RefractiveComponent` works out which medium a ray is leaving from the index\n",
    "the ray is already travelling in, not from the surface normal, so the same\n",
    "component refracts correctly on the way in and on the way out. A ball lens is\n",
    "therefore a single `SphereGeometry`, not two.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f6a7b8c9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:45.130093Z",
     "iopub.status.busy": "2026-08-18T17:46:45.130093Z",
     "iopub.status.idle": "2026-08-18T17:46:46.023554Z",
     "shell.execute_reply": "2026-08-18T17:46:46.023554Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n(0.55 µm) = 1.5185\n",
      "Ball lens EFL from centre = 7.321 mm  ->  paraxial focus at z = 7.321\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Detected flux: 0.9154 W of 1.0 W\n",
      "Flux conservation error: 1.25e-16\n"
     ]
    }
   ],
   "source": [
    "# A ball lens: one sphere, entered and exited by the same component.\n",
    "glass = NSQMaterial.from_glass('N-BK7')\n",
    "BALL_R = 5.0\n",
    "\n",
    "ball = RefractiveComponent(\n",
    "    cs=CoordinateSystem(z=0),                      # sphere centred at z = 0\n",
    "    geometry=SphereGeometry(radius=BALL_R, aperture_radius=4.0),\n",
    "    material_front=VACUUM,                         # outside the ball\n",
    "    material_back=glass,                           # inside the ball\n",
    "    name='ball',\n",
    ")\n",
    "\n",
    "# A ball lens of radius R and index n has EFL = nR / (2(n-1)) measured from its\n",
    "# centre, so the paraxial focus follows straight from the prescription.\n",
    "n_bk7 = float(np.asarray(glass.n(np.array([0.55]))).ravel()[0])\n",
    "f_ball = n_bk7 * BALL_R / (2 * (n_bk7 - 1))\n",
    "print(f\"n(0.55 \\u00b5m) = {n_bk7:.4f}\")\n",
    "print(f\"Ball lens EFL from centre = {f_ball:.3f} mm  ->  paraxial focus at z = {f_ball:.3f}\")\n",
    "\n",
    "scene_ball = NSQScene()\n",
    "scene_ball.add_source(\n",
    "    'S', CoordinateSystem(z=-30),\n",
    "    CollimatedSourceConfig(spec, total_flux=1.0, aperture_radius=2.0),\n",
    ")\n",
    "scene_ball.add_component('ball', ball)\n",
    "scene_ball.add_detector(\n",
    "    'D', CoordinateSystem(z=f_ball),\n",
    "    IrradianceDetectorConfig(width=1.0, height=1.0, num_pixels_x=128, num_pixels_y=128),\n",
    ")\n",
    "\n",
    "result_ball = scene_ball.trace(num_rays=200_000, seed=42)\n",
    "irr_ball = result_ball.detectors['D']\n",
    "\n",
    "# The 2D viewer draws compound components (Lens, Mirror, Doublet) and\n",
    "# detectors; a raw component registered with add_component() has no renderer,\n",
    "# so the sphere itself is not outlined here. The ray colours still tell the\n",
    "# story: blue into the ball, orange inside the glass, green on the way out.\n",
    "scene_ball.view(num_rays=60, color_by='bounce',\n",
    "                title='Ball lens \\u2014 one SphereGeometry, crossed twice',\n",
    "                xlim=(-12, 12))\n",
    "plt.show()\n",
    "\n",
    "fig = irr_ball.plot(cmap='hot')\n",
    "plt.title(f'Ball lens focus (R = {BALL_R:g} mm, N-BK7) | {irr_ball.num_rays_hit:,} rays')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "\n",
    "print(f\"\\nDetected flux: {irr_ball.total_flux:.4f} W of {result_ball.total_flux_in:.1f} W\")\n",
    "print(f\"Flux conservation error: {result_ball.flux_conservation_error:.2e}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7b8c9d0",
   "metadata": {},
   "source": [
    "## 3. RayDatabase: Phase-Space Analysis\n",
    "\n",
    "The `RayDatabase` from a `RayDatabaseDetector` gives access to the complete\n",
    "phase-space of every ray that hit the detector. This supports analyses that the\n",
    "binned detectors cannot provide, such as:\n",
    "- Etendue / étendue conservation checks\n",
    "- Encircled energy fraction\n",
    "- Spot centroid and shape analysis\n",
    "- Custom histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b8c9d0e1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:46.025565Z",
     "iopub.status.busy": "2026-08-18T17:46:46.025565Z",
     "iopub.status.idle": "2026-08-18T17:46:47.329767Z",
     "shell.execute_reply": "2026-08-18T17:46:47.329767Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1100x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Flux-weighted centroid : (-0.0002, +0.0004) mm\n",
      "50% encircled-energy radius: 0.2433 mm\n",
      "80% encircled-energy radius: 0.5060 mm\n",
      "90% encircled-energy radius: 0.6136 mm\n",
      "\n",
      "This singlet is f/2.45 with no aberration correction, so the spot is spherical-aberration limited: a bright core inside a broad flare.\n"
     ]
    }
   ],
   "source": [
    "scene_rdb = NSQScene()\n",
    "scene_rdb.add_source(\n",
    "    'S', CoordinateSystem(z=-80),\n",
    "    CollimatedSourceConfig(spec, total_flux=1.0, aperture_radius=10.0),\n",
    ")\n",
    "scene_rdb.add_lens('L', CoordinateSystem(z=0), DEMO_LENS)\n",
    "scene_rdb.add_detector(\n",
    "    'RDB', CoordinateSystem(z=FOCUS_Z),\n",
    "    RayDatabaseConfig(width=6, height=6),\n",
    ")\n",
    "\n",
    "result_rdb = scene_rdb.trace(num_rays=200_000, seed=42)\n",
    "db = result_rdb.detectors['RDB']\n",
    "\n",
    "# --- Encircled energy fraction ---\n",
    "cx = np.average(db.x, weights=db.flux)  # flux-weighted centroid\n",
    "cy = np.average(db.y, weights=db.flux)\n",
    "r_from_centre = np.sqrt((db.x - cx)**2 + (db.y - cy)**2)\n",
    "\n",
    "# Sorting once turns the EEF into a cumulative sum, instead of one pass over the\n",
    "# whole database per radius.\n",
    "order = np.argsort(r_from_centre)\n",
    "r_sorted = r_from_centre[order]\n",
    "eef_sorted = np.cumsum(db.flux[order]) / db.flux.sum()\n",
    "\n",
    "\n",
    "def ee_radius(fraction):\n",
    "    \"\"\"Radius enclosing `fraction` of the detected flux, linearly interpolated.\"\"\"\n",
    "    if eef_sorted[-1] < fraction:\n",
    "        return np.nan  # never reaches this fraction on this detector\n",
    "    return float(np.interp(fraction, eef_sorted, r_sorted))\n",
    "\n",
    "\n",
    "r50, r80, r90 = ee_radius(0.50), ee_radius(0.80), ee_radius(0.90)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(11, 4))\n",
    "axes[0].scatter(db.x - cx, db.y - cy, s=0.5, alpha=0.05, c='k')\n",
    "for r, c, lab in [(r50, 'tab:green', '50%'), (r80, 'cyan', '80%')]:\n",
    "    axes[0].add_patch(plt.Circle((0, 0), r, color=c, fill=False, lw=1.5,\n",
    "                                 label=f'{lab} EE, r={r:.3f} mm'))\n",
    "axes[0].set_xlim(-1.5, 1.5); axes[0].set_ylim(-1.5, 1.5)\n",
    "axes[0].set_aspect('equal')\n",
    "axes[0].set_xlabel('x - centroid [mm]'); axes[0].set_ylabel('y - centroid [mm]')\n",
    "axes[0].set_title('Spot diagram at focus')\n",
    "axes[0].legend(loc='upper right')\n",
    "\n",
    "axes[1].plot(r_sorted, eef_sorted * 100)\n",
    "for r, c, lab in [(r50, 'tab:green', '50%'), (r80, 'cyan', '80%'),\n",
    "                  (r90, 'tab:orange', '90%')]:\n",
    "    axes[1].axvline(r, color=c, linestyle='--', label=f'{lab} EE: r={r:.3f} mm')\n",
    "axes[1].set_xlim(0, 1.5)\n",
    "axes[1].set_xlabel('Radius [mm]')\n",
    "axes[1].set_ylabel('Encircled energy [%]')\n",
    "axes[1].set_title('Encircled energy fraction')\n",
    "axes[1].legend()\n",
    "axes[1].grid(True, alpha=0.4)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "\n",
    "print(f\"Flux-weighted centroid : ({cx:+.4f}, {cy:+.4f}) mm\")\n",
    "print(f\"50% encircled-energy radius: {r50:.4f} mm\")\n",
    "print(f\"80% encircled-energy radius: {r80:.4f} mm\")\n",
    "print(f\"90% encircled-energy radius: {r90:.4f} mm\")\n",
    "print(\"\\nThis singlet is f/2.45 with no aberration correction, so the spot is \"\n",
    "      \"spherical-aberration limited: a bright core inside a broad flare.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9d0e1f2",
   "metadata": {},
   "source": [
    "## 4. Scene Validation\n",
    "\n",
    "`scene.validate()` checks for the most common configuration mistakes. It is\n",
    "called automatically by `scene.trace()`, but you can call it explicitly after\n",
    "building the scene to catch errors early."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d0e1f2a3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:47.331778Z",
     "iopub.status.busy": "2026-08-18T17:46:47.331778Z",
     "iopub.status.idle": "2026-08-18T17:46:47.335287Z",
     "shell.execute_reply": "2026-08-18T17:46:47.335287Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valid scene: passed\n",
      "Validation error (expected): Scene has no detectors. Add at least one detector.\n"
     ]
    }
   ],
   "source": [
    "# A valid scene\n",
    "scene_ok = NSQScene()\n",
    "scene_ok.add_source('S', CoordinateSystem(z=0),\n",
    "                    PointSourceConfig(spec, total_flux=1.0))\n",
    "scene_ok.add_detector('D', CoordinateSystem(z=50),\n",
    "                      IrradianceDetectorConfig(width=30, height=30))\n",
    "scene_ok.validate()\n",
    "print(\"Valid scene: passed\")\n",
    "\n",
    "# A scene missing a detector\n",
    "scene_bad = NSQScene()\n",
    "scene_bad.add_source('S', CoordinateSystem(z=0),\n",
    "                     PointSourceConfig(spec, total_flux=1.0))\n",
    "try:\n",
    "    scene_bad.validate()\n",
    "except ValueError as e:\n",
    "    print(f\"Validation error (expected): {e}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1f2a3b4",
   "metadata": {},
   "source": [
    "## 5. Performance Tips\n",
    "\n",
    "### Choosing ray count\n",
    "\n",
    "Monte Carlo noise scales as $1/\\sqrt{N}$, so quadrupling the ray count halves\n",
    "the noise. Start at 10k-50k rays while you get the geometry right, then raise it\n",
    "for final results.\n",
    "\n",
    "### Batch size matters more than you would expect\n",
    "\n",
    "`batch_size` sets how many rays are traced at once. It does not change the\n",
    "answer, but it does change the speed: the tracer allocates several temporary\n",
    "arrays per ray per bounce, and once a batch no longer fits in cache the cost per\n",
    "ray climbs sharply.\n",
    "\n",
    "The default is 16,384 rays per batch, which sits in the middle of the measured\n",
    "plateau on CPU. Very large batches are several times slower, so raise it only\n",
    "when you have measured a gain on your own machine. The benchmark below is that\n",
    "measurement.\n",
    "\n",
    "Random numbers are drawn from a counter-based PCG32 keyed by\n",
    "`(seed, ray_id, bounce, event_slot)` rather than a single shared stream, so a\n",
    "ray's random decisions do not depend on which batch it was traced in or which\n",
    "other rays were live alongside it. That is a stronger guarantee than \"the\n",
    "result converges\" — for a fixed `seed`, the flux below should agree across\n",
    "every `batch_size` to floating-point-summation precision, not just to Monte\n",
    "Carlo tolerance. The benchmark below checks this directly.\n",
    "\n",
    "### Component count\n",
    "\n",
    "The tracer tests every surface against every live ray, so scenes with many\n",
    "surfaces cost proportionally more. Drop components that no ray can reach, and use\n",
    "absorbing surfaces to kill rays that cannot contribute.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f2a3b4c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:46:47.337317Z",
     "iopub.status.busy": "2026-08-18T17:46:47.337317Z",
     "iopub.status.idle": "2026-08-18T17:47:09.856438Z",
     "shell.execute_reply": "2026-08-18T17:47:09.856438Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=    2,000:  4.017 s  ->  0.100 M rays/s  (flux 0.8637 W)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=    8,000:  2.313 s  ->  0.173 M rays/s  (flux 0.8637 W)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=   16,384:  1.992 s  ->  0.201 M rays/s  (flux 0.8637 W)  <- default\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=   50,000:  2.387 s  ->  0.168 M rays/s  (flux 0.8637 W)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=  200,000:  5.890 s  ->  0.068 M rays/s  (flux 0.8637 W)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_size=1,000,000:  5.857 s  ->  0.068 M rays/s  (flux 0.8637 W)\n",
      "\n",
      "Fastest: batch_size=16,384 at 0.201 M rays/s, 2.9x the 1M-ray batch\n",
      "Flux spread across all batch sizes: 1.11e-16 W\n",
      "That is floating-point-summation noise (order of accumulation into the detector differs slightly by batch), not Monte Carlo noise: the same seed draws the same random decisions for every ray regardless of how batch_size splits the wavefront, so the run is reproducible, not just convergent.\n"
     ]
    }
   ],
   "source": [
    "import inspect\n",
    "import time\n",
    "\n",
    "# The default the tracer ships with, read straight off the signature.\n",
    "DEFAULT_BATCH_SIZE = inspect.signature(NSQScene.trace).parameters['batch_size'].default\n",
    "\n",
    "\n",
    "def build_bench_scene():\n",
    "    s = NSQScene()\n",
    "    s.add_source('S', CoordinateSystem(z=-80),\n",
    "                 CollimatedSourceConfig(spec, total_flux=1.0, aperture_radius=10.0))\n",
    "    s.add_lens('L', CoordinateSystem(z=0),\n",
    "               LensConfig(r1=50, r2=-50, thickness=5, material='N-BK7',\n",
    "                          front_aperture_radius=12.5))\n",
    "    s.add_detector('D', CoordinateSystem(z=100),\n",
    "                   IrradianceDetectorConfig(width=20, height=20,\n",
    "                                            num_pixels_x=64, num_pixels_y=64))\n",
    "    return s\n",
    "\n",
    "\n",
    "build_bench_scene().trace(num_rays=5_000, seed=1)   # warm-up\n",
    "\n",
    "N_BENCH = 400_000\n",
    "batch_sizes = [2_000, 8_000, DEFAULT_BATCH_SIZE, 50_000, 200_000, 1_000_000]\n",
    "times, rates, fluxes = [], [], []\n",
    "\n",
    "for bs in batch_sizes:\n",
    "    t0 = time.perf_counter()\n",
    "    r = build_bench_scene().trace(num_rays=N_BENCH, seed=42, batch_size=bs)\n",
    "    dt = time.perf_counter() - t0\n",
    "    times.append(dt)\n",
    "    rates.append(N_BENCH / dt / 1e6)\n",
    "    fluxes.append(r.detectors['D'].total_flux)\n",
    "    tag = '  <- default' if bs == DEFAULT_BATCH_SIZE else ''\n",
    "    print(f\"batch_size={bs:>9,}: {dt:6.3f} s  ->  {rates[-1]:.3f} M rays/s  \"\n",
    "          f\"(flux {fluxes[-1]:.4f} W){tag}\")\n",
    "\n",
    "best = int(np.argmax(rates))\n",
    "print(f\"\\nFastest: batch_size={batch_sizes[best]:,} at {rates[best]:.3f} M rays/s, \"\n",
    "      f\"{rates[best] / rates[-1]:.1f}x the 1M-ray batch\")\n",
    "print(f\"Flux spread across all batch sizes: {max(fluxes) - min(fluxes):.2e} W\")\n",
    "print(\"That is floating-point-summation noise (order of accumulation into the \"\n",
    "      \"detector differs slightly by batch), not Monte Carlo noise: the same \"\n",
    "      \"seed draws the same random decisions for every ray regardless of how \"\n",
    "      \"batch_size splits the wavefront, so the run is reproducible, not just \"\n",
    "      \"convergent.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3b4c5d6",
   "metadata": {},
   "source": [
    "## 6. Inspecting Compound Component Internals\n",
    "\n",
    "`scene.surfaces` is the flat list of every sub-surface the tracer actually sees.\n",
    "Compound components name their parts, so a lens contributes `L1.front`,\n",
    "`L1.back` and `L1.edge`, which makes it easy to find the surface you want to\n",
    "modify or attach a BSDF to.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b4c5d6e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:47:09.858454Z",
     "iopub.status.busy": "2026-08-18T17:47:09.858454Z",
     "iopub.status.idle": "2026-08-18T17:47:09.918644Z",
     "shell.execute_reply": "2026-08-18T17:47:09.918644Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compound components:\n",
      "  L1: 3 surfaces\n",
      "    - L1.front     RefractiveComponent\n",
      "    - L1.back      RefractiveComponent\n",
      "    - L1.edge      AbsorbingComponent\n",
      "  L2: 3 surfaces\n",
      "    - L2.front     RefractiveComponent\n",
      "    - L2.back      RefractiveComponent\n",
      "    - L2.edge      AbsorbingComponent\n",
      "\n",
      "Flat surface list  : ['L1.front', 'L1.back', 'L1.edge', 'L2.front', 'L2.back', 'L2.edge']\n",
      "Total sources      : 1\n",
      "Total detectors    : 1\n",
      "\n",
      "Looked up 'L2.front': RefractiveComponent with aperture radius 12.5 mm\n"
     ]
    }
   ],
   "source": [
    "scene_inspect = NSQScene()\n",
    "scene_inspect.add_source('S', CoordinateSystem(z=-80),\n",
    "                         CollimatedSourceConfig(spec, total_flux=1.0,\n",
    "                                                aperture_radius=10.0))\n",
    "scene_inspect.add_lens('L1', CoordinateSystem(z=0),\n",
    "                       LensConfig(r1=50, r2=-50, thickness=5, material='N-BK7',\n",
    "                                  front_aperture_radius=12.5))\n",
    "scene_inspect.add_lens('L2', CoordinateSystem(z=40),\n",
    "                       LensConfig(r1=-80, r2=80, thickness=4, material='N-SF5',\n",
    "                                  front_aperture_radius=12.5))\n",
    "scene_inspect.add_detector('D', CoordinateSystem(z=120),\n",
    "                           IrradianceDetectorConfig(width=10, height=10))\n",
    "\n",
    "print(\"Compound components:\")\n",
    "for comp in scene_inspect.component_registry.compounds:\n",
    "    print(f\"  {comp.name}: {len(comp.surfaces)} surfaces\")\n",
    "    for surf in comp.surfaces:\n",
    "        print(f\"    - {surf.name:12s} {type(surf).__name__}\")\n",
    "\n",
    "print(f\"\\nFlat surface list  : {[s.name for s in scene_inspect.surfaces]}\")\n",
    "print(f\"Total sources      : {len(scene_inspect.sources)}\")\n",
    "print(f\"Total detectors    : {len(scene_inspect.detectors)}\")\n",
    "\n",
    "# Named surfaces make targeted modification straightforward.\n",
    "front_of_L2 = next(s for s in scene_inspect.surfaces if s.name == 'L2.front')\n",
    "print(f\"\\nLooked up '{front_of_L2.name}': {type(front_of_L2).__name__} \"\n",
    "      f\"with aperture radius {front_of_L2.geometry.aperture_radius:.1f} mm\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abfeb46f",
   "metadata": {},
   "source": [
    "## 7. Putting It Together\n",
    "\n",
    "The benchmark above and the scene it traced, side by side: throughput\n",
    "against batch size, and the irradiance map the run produced.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6fcad9d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:47:09.920753Z",
     "iopub.status.busy": "2026-08-18T17:47:09.920753Z",
     "iopub.status.idle": "2026-08-18T17:47:11.128737Z",
     "shell.execute_reply": "2026-08-18T17:47:11.128114Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x420 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result_bench = build_bench_scene().trace(\n",
    "    num_rays=200_000, seed=42, batch_size=batch_sizes[best])\n",
    "irr_bench = result_bench.detectors['D']\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4.2))\n",
    "\n",
    "ax = axes[0]\n",
    "ax.semilogx(batch_sizes, rates, 'o-')\n",
    "ax.axvline(DEFAULT_BATCH_SIZE, color='0.5', ls=':', lw=1.5,\n",
    "           label=f'default: {DEFAULT_BATCH_SIZE:,}')\n",
    "ax.scatter([batch_sizes[best]], [rates[best]], s=110, facecolors='none',\n",
    "           edgecolors='tab:red', linewidths=2,\n",
    "           label=f'fastest: {batch_sizes[best]:,}')\n",
    "ax.set_xlabel('batch_size')\n",
    "ax.set_ylabel('Throughput [M rays/s]')\n",
    "ax.set_title(f'Tracer throughput vs batch size ({N_BENCH:,} rays)')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.35, which='both')\n",
    "\n",
    "ax = axes[1]\n",
    "im = ax.imshow(irr_bench.irradiance, origin='lower', cmap='hot',\n",
    "               extent=[irr_bench.x_coords[0], irr_bench.x_coords[-1],\n",
    "                       irr_bench.y_coords[0], irr_bench.y_coords[-1]])\n",
    "plt.colorbar(im, ax=ax, label='W/mm$^2$')\n",
    "ax.set_xlabel('x [mm]')\n",
    "ax.set_ylabel('y [mm]')\n",
    "ax.set_title('Irradiance from the benchmark scene')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "583c4c84",
   "metadata": {},
   "source": [
    "## 8. Rare-Path Sampling: Importance Biasing for Ghosts\n",
    "\n",
    "An uncoated refractive surface still obeys Fresnel: most rays refract through,\n",
    "but a small fraction — about 4% at a typical air/N-BK7 interface near normal\n",
    "incidence — reflect instead and head back the way they came. That reflection\n",
    "is a genuine \"ghost\" ray, and with only a handful of percent of the wavefront\n",
    "taking that branch, a fixed ray budget spends most of its rays on paths you\n",
    "were not asking about.\n",
    "\n",
    "`scene.sampling_policy` (a `SamplingPolicy`) does not change *what* the\n",
    "tracer computes, only how it spends rays. Its `reflect_prob` field controls\n",
    "the probability used to draw the reflect/refract branch at every refractive\n",
    "surface: `\"fresnel\"` (the default) draws from the physical Fresnel\n",
    "reflectance itself, while a fixed value — `0.25`, say — draws the branch more\n",
    "often than physically likely and compensates with an attached weight (the\n",
    "same detached-sample/attached-weight estimator that keeps the branch\n",
    "differentiable; see the developer guide). The *expected* flux on the ghost\n",
    "path is unchanged; only its variance drops, because more of the ray budget\n",
    "now lands on the rare branch instead of the common one.\n",
    "\n",
    "The cell below reuses `DEMO_LENS` from the top of the notebook. Its front\n",
    "surface has no coating, so it reflects ~4% of the collimated beam straight\n",
    "back toward the source. A `RayDatabaseDetector` placed between the source and\n",
    "the lens, with `absorb=False`, records every ray that crosses that plane\n",
    "without stopping it — so the forward-going beam passes through untouched on\n",
    "its way to the lens, and the backward-going (`N < 0`) reflection is recorded\n",
    "on its way out.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a284870e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-18T17:47:11.130351Z",
     "iopub.status.busy": "2026-08-18T17:47:11.129579Z",
     "iopub.status.idle": "2026-08-18T17:47:14.172235Z",
     "shell.execute_reply": "2026-08-18T17:47:14.172235Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x420 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reflect_prob='fresnel': mean=0.02340 W, std=1.13e-03 W\n",
      "reflect_prob=0.25     : mean=0.02314 W, std=6.62e-04 W\n",
      "Same expectation to within Monte Carlo tolerance: 1.12% difference\n",
      "Variance reduction: 2.9x, at zero extra rays and zero extra memory.\n"
     ]
    }
   ],
   "source": [
    "def ghost_flux(reflect_prob, num_rays=8_000, seed=0):\n",
    "    \"\"\"Flux reflected off the uncoated front face of DEMO_LENS, back toward the source.\"\"\"\n",
    "    scene = NSQScene()\n",
    "    scene.add_source('S', CoordinateSystem(z=-80),\n",
    "                     CollimatedSourceConfig(spec, total_flux=1.0, aperture_radius=10.0))\n",
    "    scene.add_lens('L', CoordinateSystem(z=0), DEMO_LENS)\n",
    "    scene.add_detector('ghost', CoordinateSystem(z=-40),\n",
    "                       RayDatabaseConfig(width=25, height=25, absorb=False))\n",
    "    scene.sampling_policy = SamplingPolicy(reflect_prob=reflect_prob)\n",
    "    result = scene.trace(num_rays=num_rays, seed=seed)\n",
    "    db = result.detectors['ghost']\n",
    "    backward = db.N < 0   # the front-surface reflection, not the forward beam\n",
    "    return float(db.flux[backward].sum())\n",
    "\n",
    "\n",
    "# Repeat over several seeds so we can compare the *spread* of the ghost-flux\n",
    "# estimate, not just a single value, between the default policy and a biased one.\n",
    "seeds = range(20)\n",
    "fresnel_vals = [ghost_flux('fresnel', seed=s) for s in seeds]\n",
    "biased_vals = [ghost_flux(0.25, seed=s) for s in seeds]\n",
    "\n",
    "fresnel_mean, fresnel_std = np.mean(fresnel_vals), np.std(fresnel_vals)\n",
    "biased_mean, biased_std = np.mean(biased_vals), np.std(biased_vals)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 4.2))\n",
    "ax.hist(fresnel_vals, bins=8, alpha=0.6, label=f\"reflect_prob='fresnel' (default)\\nstd={fresnel_std:.2e} W\")\n",
    "ax.hist(biased_vals, bins=8, alpha=0.6, label=f\"reflect_prob=0.25 (biased)\\nstd={biased_std:.2e} W\")\n",
    "ax.axvline(fresnel_mean, color='tab:blue', ls='--', lw=1)\n",
    "ax.axvline(biased_mean, color='tab:orange', ls='--', lw=1)\n",
    "ax.set_xlabel('Ghost flux on the \"ghost\" detector [W]')\n",
    "ax.set_ylabel('Count (across seeds)')\n",
    "ax.set_title(f'Front-surface ghost, {len(seeds)} independent seeds, {8_000:,} rays each')\n",
    "ax.legend(fontsize=8)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"reflect_prob='fresnel': mean={fresnel_mean:.5f} W, std={fresnel_std:.2e} W\")\n",
    "print(f\"reflect_prob=0.25     : mean={biased_mean:.5f} W, std={biased_std:.2e} W\")\n",
    "print(f\"Same expectation to within Monte Carlo tolerance: \"\n",
    "      f\"{abs(fresnel_mean - biased_mean) / fresnel_mean * 100:.2f}% difference\")\n",
    "print(f\"Variance reduction: {(fresnel_std / biased_std) ** 2:.1f}x, \"\n",
    "      f\"at zero extra rays and zero extra memory.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5d6e7f8",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "- `CoordinateSystem(x, y, z, rx, ry, rz)` - position [mm] and orientation [radians]\n",
    "- Raw components (`RefractiveComponent`, `ReflectiveComponent`, `AbsorbingComponent`)\n",
    "  plus a geometry are registered with `scene.add_component(name, component)` for\n",
    "  shapes the compound builders (`Lens`, `Mirror`, `Doublet`) don't cover\n",
    "- `RayDatabase` supports encircled energy, centroid, spot diagrams and custom analysis\n",
    "- `scene.validate()` catches missing sources or detectors early\n",
    "- Compound sub-surfaces are named (`L1.front`, `L1.back`, `L1.edge`), so they can be\n",
    "  looked up in `scene.surfaces` and modified individually\n",
    "- Noise falls as $1/\\sqrt{N}$; quadruple the rays to halve it\n",
    "- `batch_size` does not change the answer but strongly affects speed: the default\n",
    "  of 16,384 is a good starting point, and very large batches are much slower.\n",
    "  Results are reproducible (not just convergent) across `batch_size`, because the\n",
    "  PCG32 RNG keys every random decision by `(seed, ray_id, bounce, event_slot)`\n",
    "- `scene.sampling_policy.reflect_prob` biases rare paths (ghosts) toward more of\n",
    "  the ray budget without changing the expected result -- pure variance reduction\n",
    "- Check `flux_conservation_error` before interpreting any result\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.12.4"
  },
  "nbsphinx": {
   "execute": "never"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
