diff --git a/scripts/build_led_placement_maps.py b/scripts/build_led_placement_maps.py
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+++ b/scripts/build_led_placement_maps.py
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+"""照明配置スイープ（TEST_18）の輝度マップを条件別に並べたパネルを生成する.
+
+数値指標（build_led_placement_comparison.py）とは別に，輝度分布の「形」を目で比べるための
+画像パネル．各パネルは球（上段）と同内面積の立方体（下段）を同じ条件の並びで置き，
+輪帯ピーク正規化（最大の輪帯平均 = 1.0）・共通カラースケールで描く．LED は +X＝画像右側．
+
+出力（output/led_placement_sweep/maps/）:
+    maps_position_<ペア>.png : θ を横に並べる（13 段階）．4 ペア分
+    maps_direction.png       : θ × 向き（板向き / 壁法線向き / 真下向き）．代表ペア
+    maps_count.png           : 灯数 N=1/2/3/4（θ=90°）と N=4 の θ 違い．全ペア
+    maps_azimuth.png         : 立方体の方位角 φ（球は対照）
+    maps_ring.png            : 真下向き N=1/2/4/8 と板向き N=8
+    maps_material.png        : 旧材質 vs 校正材質（θ=0/30/90/120・多灯）
+
+実行方法:
+    uv run python scripts/build_led_placement_maps.py
+"""
+
+from __future__ import annotations
+
+import argparse
+import sys
+from pathlib import Path
+
+import matplotlib
+import numpy as np
+
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt  # noqa: E402
+
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "src"))
+
+import sweep_led_placement as sweep  # noqa: E402
+from build_radius_sweep_visual import normalized_map  # noqa: E402
+from sweep_led_placement import (  # noqa: E402
+    AIMS,
+    AZIMUTH_CUBE,
+    AZIMUTH_SPHERE,
+    COUNT_THETA,
+    CUBE_N8_AZIMUTH,
+    DIRECTION_THETAS,
+    MATERIAL_SUFFIX,
+    SHAPES,
+    SIZE_PAIRS,
+    THETA_GRID,
+    Condition,
+)
+
+plt.rcParams["font.family"] = ["Yu Gothic", "MS Gothic", "DejaVu Sans"]
+
+SHAPE_LABEL = {"sphere": "球", "cube": "立方体"}
+AIM_LABEL = {"board": "板向き+バッフル", "normal": "壁法線向き+バッフル", "down": "真下向き"}
+CMAP = "hot"
+# 共通スケールの下限（輪帯ピーク=1.0 に対する比）．全パネルで固定して見比べられるようにする
+VMIN = 0.80
+REP_PAIR = 2  # 代表ペア（r=170 / L=234）
+
+
+def output_root(material: str) -> Path:
+    """材質系列に対応する出力ディレクトリ."""
+    return Path(sweep.ROOT) / "output" / f"led_placement_sweep{MATERIAL_SUFFIX[material]}"
+
+
+def cond_name(shape: str, size: float, theta: float, aim: str, n: int,
+              azimuth: float = 0.0, rep: int = 1) -> str:
+    """条件名（出力ディレクトリ名）を組み立てる."""
+    return Condition("", shape, size, theta, aim, n, rep, azimuth).name
+
+
+def load_map(name: str, material: str = "legacy") -> np.ndarray | None:
+    """条件名から輪帯ピーク正規化・平滑化済みの輝度マップを返す（無ければ None）."""
+    path = output_root(material) / name / "luminance.npy"
+    return normalized_map(path) if path.exists() else None
+
+
+def row_label(shape: str, size: float) -> str:
+    """行見出し（形状とサイズ）."""
+    return f"{SHAPE_LABEL[shape]} {'r' if shape == 'sphere' else 'L'}={size:g}"
+
+
+def pair_sizes(pair: int) -> dict[str, float]:
+    """ペア番号 → {形状: サイズ}."""
+    return {shape: SIZE_PAIRS[pair][SHAPES.index(shape)] for shape in SHAPES}
+
+
+def draw_grid(
+    cells: list[list[tuple[str, np.ndarray | None]]],
+    row_labels: list[str],
+    title: str,
+    output: Path,
+    cell_size: float = 2.3,
+) -> None:
+    """(行 × 列) のマップ格子を共通スケールで描く．cells[row][col] = (見出し, マップ)."""
+    n_rows, n_cols = len(cells), max(len(r) for r in cells)
+    figsize = (cell_size * n_cols + 1.2, cell_size * n_rows + 1.0)
+    fig, axes = plt.subplots(n_rows, n_cols, figsize=figsize, squeeze=False)
+    image = None
+    for r, row in enumerate(cells):
+        for c in range(n_cols):
+            ax = axes[r, c]
+            ax.set_xticks([])
+            ax.set_yticks([])
+            if c >= len(row) or row[c][1] is None:
+                ax.axis("off")
+                continue
+            label, data = row[c]
+            image = ax.imshow(data, cmap=CMAP, vmin=VMIN, vmax=1.0)
+            ax.set_title(label, fontsize=8)
+            if c == 0:
+                ax.set_ylabel(row_labels[r], fontsize=10, fontweight="bold")
+    if image is not None:
+        fig.colorbar(image, ax=axes.ravel().tolist(), fraction=0.015, pad=0.01,
+                     label="輝度（最大の輪帯平均 = 1.0）")
+    fig.suptitle(title, fontsize=13)
+    output.parent.mkdir(parents=True, exist_ok=True)
+    fig.savefig(output, dpi=110, bbox_inches="tight")
+    plt.close(fig)
+    print(f"出力: {output}")
+
+
+def panel_position(out_dir: Path) -> None:
+    """θ を横に並べた位置スイープのパネル（ペアごとに 1 枚）."""
+    for pair in range(len(SIZE_PAIRS)):
+        sizes = pair_sizes(pair)
+        cells, labels = [], []
+        for shape in SHAPES:
+            row = []
+            for theta in THETA_GRID:
+                data = load_map(cond_name(shape, sizes[shape], theta, "board", 1))
+                row.append((f"θ={theta:g}°", data))
+            cells.append(row)
+            labels.append(row_label(shape, sizes[shape]))
+        draw_grid(cells, labels,
+                  f"位置スイープ ペア{pair + 1}（1 灯・板向き・バッフル付き）: "
+                  "LED 極角 θ（0=底の中心・90=側壁中段・120=板の直下）．LED は画像右側",
+                  out_dir / f"maps_position_pair{pair + 1}.png", cell_size=1.9)
+
+
+def panel_direction(out_dir: Path) -> None:
+    """θ × 向きのパネル（代表ペア）．行 = 形状 × 向き，列 = θ."""
+    sizes = pair_sizes(REP_PAIR)
+    cells, labels = [], []
+    for shape in SHAPES:
+        for aim in AIMS:
+            row = []
+            for theta in DIRECTION_THETAS:
+                data = load_map(cond_name(shape, sizes[shape], theta, aim, 1))
+                row.append((f"θ={theta:g}°", data))
+            cells.append(row)
+            labels.append(f"{SHAPE_LABEL[shape]}\n{AIM_LABEL[aim]}")
+    draw_grid(cells, labels,
+              f"向きの比較（1 灯・ペア{REP_PAIR + 1}: r={sizes['sphere']:g} / "
+              f"L={sizes['cube']:g}）．LED は画像右側",
+              out_dir / "maps_direction.png", cell_size=2.6)
+
+
+def panel_count(out_dir: Path) -> None:
+    """灯数のパネル（全ペア）．列 = N=1/2/3/4（θ=90°）+ N=4 の θ=60/120."""
+    cells, labels = [], []
+    for pair in range(len(SIZE_PAIRS)):
+        sizes = pair_sizes(pair)
+        for shape in SHAPES:
+            size = sizes[shape]
+            row = [(f"N={n} θ=90°", load_map(cond_name(shape, size, COUNT_THETA, "board", n)))
+                   for n in (1, 2, 3, 4)]
+            row += [(f"N=4 θ={theta:g}°", load_map(cond_name(shape, size, theta, "board", 4)))
+                    for theta in (60.0, 120.0)]
+            cells.append(row)
+            labels.append(row_label(shape, size))
+    draw_grid(cells, labels,
+              "灯数の比較（板向き・各灯にバッフル・総光束一定）．1 灯目は画像右側，以降等方位",
+              out_dir / "maps_count.png", cell_size=2.2)
+
+
+def panel_azimuth(out_dir: Path) -> None:
+    """方位角のパネル（θ=90°・1 灯・板向き）．立方体は φ=0〜40，球は 0 と 45."""
+    cells, labels = [], []
+    for pair in range(len(SIZE_PAIRS)):
+        sizes = pair_sizes(pair)
+        for shape in SHAPES:
+            phis = [0.0] + (AZIMUTH_CUBE if shape == "cube" else AZIMUTH_SPHERE)
+            row = [(f"φ={phi:g}°", load_map(cond_name(shape, sizes[shape], 90.0, "board", 1, phi)))
+                   for phi in phis]
+            cells.append(row)
+            labels.append(row_label(shape, sizes[shape]))
+    draw_grid(cells, labels,
+              "方位角 φ の比較（θ=90°・1 灯・板向き）．立方体: φ=0 が面の中央・45 が稜．"
+              "LED は画像右から φ だけ反時計回り",
+              out_dir / "maps_azimuth.png", cell_size=2.2)
+
+
+def panel_ring(out_dir: Path) -> None:
+    """真下向き多灯のパネル（全ペア）．列 = 真下 N=1/2/4/8 + 板向き N=8."""
+    cells, labels = [], []
+    for pair in range(len(SIZE_PAIRS)):
+        sizes = pair_sizes(pair)
+        for shape in SHAPES:
+            row = []
+            for n in (1, 2, 4, 8):
+                az = CUBE_N8_AZIMUTH if (shape == "cube" and n == 8) else 0.0
+                name = cond_name(shape, sizes[shape], 90.0, "down", n, az)
+                row.append((f"真下 N={n}", load_map(name)))
+            az = CUBE_N8_AZIMUTH if shape == "cube" else 0.0
+            name = cond_name(shape, sizes[shape], 90.0, "board", 8, az)
+            row.append(("板向き N=8", load_map(name)))
+            cells.append(row)
+            labels.append(row_label(shape, sizes[shape]))
+    draw_grid(cells, labels,
+              "真下向き多灯（バッフル無し）と板向き多灯（θ=90° の輪・総光束一定）",
+              out_dir / "maps_ring.png", cell_size=2.2)
+
+
+def panel_material(out_dir: Path) -> None:
+    """旧材質 vs 校正材質のパネル（校正材質で回した主要条件）."""
+    specs = [(0.0, "board", 1), (30.0, "board", 1), (90.0, "board", 1), (120.0, "board", 1),
+             (90.0, "board", 2), (90.0, "board", 4), (90.0, "down", 1), (90.0, "down", 4)]
+    spec_label = {"board": "板向き", "down": "真下"}
+    cells, labels = [], []
+    # 校正材質は多灯・真下向きをペア 3 だけ回しているので，ペア 1 は位置の 4 条件だけ並べる
+    for pair, spec_subset in ((0, specs[:4]), (2, specs)):
+        sizes = pair_sizes(pair)
+        for shape in SHAPES:
+            for material, mat_label in (("legacy", "旧材質 ρ=0.85 光沢5%"),
+                                        ("calibrated", "校正 ρ=0.81 diffuse")):
+                row = []
+                for theta, aim, n in spec_subset:
+                    data = load_map(cond_name(shape, sizes[shape], theta, aim, n), material)
+                    row.append((f"θ={theta:g}° {spec_label[aim]} N={n}", data))
+                cells.append(row)
+                labels.append(f"{row_label(shape, sizes[shape])}\n{mat_label}")
+    draw_grid(cells, labels,
+              "内壁材質の比較（旧材質 blendbsdf vs TEST_14 校正材質 純 diffuse ρ=0.81）",
+              out_dir / "maps_material.png", cell_size=2.2)
+
+
+def main() -> int:
+    """全パネルを生成する."""
+    parser = argparse.ArgumentParser(description="照明配置スイープの輝度マップパネルを生成")
+    parser.add_argument("--output", type=Path, default=None, help="出力ディレクトリ")
+    args = parser.parse_args()
+    out_dir = args.output or output_root("legacy") / "maps"
+    panel_position(out_dir)
+    panel_direction(out_dir)
+    panel_count(out_dir)
+    panel_azimuth(out_dir)
+    panel_ring(out_dir)
+    panel_material(out_dir)
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())