lensmerit optable → tableimport fullseye as fs; fs.ledger.optimize_lens_operands(system=None, operands=None, variables=None, iterations: 'int' = 30, fields=None, wavelengths=None, field_weights=None, wavelength_weights=None, damping: 'float' = 0.001, tolerance: 'float' = 1e-07, min_thickness: 'float' = 0.5, max_thickness=None, min_radius: 'float' = 1.0, glass_candidates=None, glass_iterations: 'int' = 12, outer_iterations: 'int' = 3) -> 'dict' (実装を直接呼ぶなら import lensmerit; lensmerit.optimize_lens_operands(system=None, operands=None, variables=None, iterations: 'int' = 30, fields=None, wavelengths=None, field_weights=None, wavelength_weights=None, damping: 'float' = 0.001, tolerance: 'float' = 1e-07, min_thickness: 'float' = 0.5, max_thickness=None, min_radius: 'float' = 1.0, glass_candidates=None, glass_iterations: 'int' = 12, outer_iterations: 'int' = 3) -> 'dict'、台帳から引くなら opsoptics.get("optimize_lens_operands"))オペランド表のメリット関数を LM で最小化する。硝材も変数にできる(table)。
The residual vector is the stack of the table’s rows (:func:merit_evaluate); variables are those of
:func:lensopt.optimize_lens ("c<i>" / "R<i>" curvature, "t<i>", "k<i>", "A4_<i>" …; default every
finite radius) plus glass variables "g<i>". The continuous steps are lensopt’s: forward-difference Jacobian,
(JtJ + lambda diag(JtJ)) delta = -Jt r, a step is kept only if the merit falls (lambda /3, else x4, six tries),
stalled after two iterations without an accepted step. min_thickness, max_thickness and min_radius clamp the
variables as in optimize_lens (the table’s bound rows are what keep edges, centres and gaps in range).
A glass variable moves the glass of surface i over glass_candidates (a list of media: catalogue names,
(n_d, V_d) pairs or raytrace.glass dicts; or a dict "g<i>" -> list) by an outer discrete sweep: after the
continuous optimisation has converged each candidate is tried once (swapped in, the continuous variables re-optimised for
glass_iterations iterations) and the best is kept if it lowers the merit; this repeats up to outer_iterations times
with a full continuous re-optimisation between sweeps. A candidate equal to the glass already there is skipped, so a list
holding only the current glass gives exactly the continuous result.
Returns {"system", "table_before", "table_after", "merit_initial", "merit_final", "history", "iterations",
"rejected_steps", "converged", "status", "variables", "glass", "dominant_after", "violated_after"};
table_before / table_after are :func:merit_evaluate results, rejected_steps counts the trial steps
refused, glass lists each glass variable with its initial / final medium and every candidate’s merit.
Example::
r = optimize_lens_operands(lens, ops, ["c0", "c1", "t0", "g0"], glass_candidates=[(1.52, 64.2), (1.62, 36.4)],
fields=m["fields"])
r["merit_initial"], r["merit_final"], r["glass"][0]["final"]
optics の全 op は入力を検証してから計算する(黙って通さない):
_mm / _um / _deg / _mrad。mm と µm の取り違えは crash ではなく「もっともらしく間違った答え」なので、名前で防ぐ。大きさから単位を推測する処理は一切しない。ValueError — float('50') は成功してしまうため、未パースの設定値が長さとして通り抜ける(実測: thin_lens('50', '200') がもっともらしい 66.667 mm を返していた)。bool も True == 1 の暗黙昇格として拒否。ValueError(実数枠のみ。虚部の無言切り捨て・マスク剥がしを拒否)。NaN/Inf は全入力で ValueError。depth_of_field の過焦点距離以遠の far_mm = inf(それが過焦点距離の定義)と gaussian_beam のウエストでの wavefront_radius_mm = inf(平面波面の曲率半径)。どちらも有限の相棒(far_is_infinite / curvature_per_mm)を併せて返す。それ以外の無言 NaN/Inf は内部で検出して ValueError —「float64 が溢れた」と「答えが無限大」は別の主張なので、後者の顔で前者を返さない。optics.MAX_GRID(4096)、供給された場/PSF/開口は optics.MAX_FIELD_ELEMENTS(2^24)、ABCD 素子列は optics.MAX_SYSTEM_ELEMENTS(1024)、Zernike は MAX_ZERNIKE_TERMS(512)/ MAX_ZERNIKE_ORDER(40)/ MAX_ZERNIKE_BASIS(2^25)。小さな引数から巨大な内部確保が起きる経路(実測: n_max=40 × 4096² で 108 GB)を fail-closed で塞ぐ。| 物理的に不可能な状態も拒否: 偏光度 > 1 の Stokes ベクトル、負の透過率、負の強度、n- | m | が奇数などの不正な Zernike 添字。 |
py -3.11 examples/optimized_lens_tolerance_sensitivity.pypy -3.11 examples/poc_lens_merit_operands.pytable を入力に取れる)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
lensmerit)merit_operands_list · merit_evaluate · merit_default · merit_boundary_operands · merit_contributions
Provenance: lensmerit.py — OPTICS operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.