confocal op• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.chromatic_confocal_probe(surfaces=None, stop: 'int' = 0, wl_min_nm: 'float' = 450.0, wl_max_nm: 'float' = 700.0, n_points: 'int' = 26) -> 'dict' (to call the implementation directly, import chromconf; chromconf.chromatic_confocal_probe(surfaces=None, stop: 'int' = 0, wl_min_nm: 'float' = 450.0, wl_max_nm: 'float' = 700.0, n_points: 'int' = 26) -> 'dict'; from the registry, opsoptics.get("chromatic_confocal_probe"))
Build the wavelength → focus-position calibration table (the ticks of the rainbow ruler) from an objective lens prescription.
> The detailed description below is the original text — the summary and the headings are translated.
処方 *surfaces* は raytrace.lens_system と同じ形(dict か (R, t, n[, k[, ap]]) の列、硝材は名前で材料表を引く)。平行光で入射し、絞り(*stop* 番目の面)の ap がビーム半径。
既定は DEFAULT_PROBE_SURFACES(重フリントの非球面単レンズ、f ≈ 16 mm、ビーム半径 2.5 mm)。
各波長で: 近軸の後側焦点距離(raytrace.paraxial_trace)、像側 NA、縁の光線の焦点との差(縦球面収差 LSA、実光線)、そして 鏡を置いて応答のピークを読む較正(縦球面収差を入れた軸応答のピーク位置。無収差なら近軸焦点と一致、収差があればおよそ LSA/2 ずれる)。
返り値の dict(JSON にできる): wavelength_nm / paraxial_um(近軸焦点、較正の原点から)/ calibration_um(鏡で較正したピーク位置、最短波長で 0)/ lsa_um / na / efl_mm / fwhm_um(収差込みの鏡面応答の FWHM)/ fwhm_closed_um(無収差の閉形式)/ peak_response(無収差に対するピークの高さ)/ dz_dlambda_um_per_nm(較正表の傾き)/ range_um(較正の範囲)/ range_paraxial_um / working_distance_mm(最短波長の近軸焦点、最終面から)/ origin_mm(z = 0 の位置、最終面から)/ beam_radius_mm / surfaces。
wl_min_nm / wl_max_nm / n_points: 較正する帯域と点数(4〜1024、等間隔)。
Raises ValueError: 処方の誤り(raytrace がそのまま名指しする)、帯域が硝材の表の外、縁の光線のけられ・全反射、焦点が無い(発散系)、較正表が波長に対して単調でない(同じ位置に 2 つの波長が合う = 高さが一意に決まらない)。
Every optics op validates its input before computing (nothing slips through silently):
• Units are baked into the argument name — _mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.
• Strings raise ValueError — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.
• complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.
• Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).
• Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). Any other silent NaN/Inf is detected internally and raises ValueError — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.
• Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).
• Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_chromatic_confocal — py -3.11 examples/poc_chromatic_confocal.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
confocal)confocal_axial_response · chromatic_confocal_spectrum · chromatic_confocal_peaks · chromatic_confocal_readout · chromatic_confocal_limits
*Provenance: chromconf.py — OPTICS operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.