confocal op• Data kinds: pairs → table
• Call: import fullseye as fs; fs.ledger.chromatic_confocal_peaks(spectrum, reference=None, max_peaks: 'int' = 2, mode: 'str' = 'gaussian', min_prominence: 'float' = 0.15, subtract_background: 'bool' = True) -> 'list' (to call the implementation directly, import chromconf; chromconf.chromatic_confocal_peaks(spectrum, reference=None, max_peaks: 'int' = 2, mode: 'str' = 'gaussian', min_prominence: 'float' = 0.15, subtract_background: 'bool' = True) -> 'list'; from the registry, opsoptics.get("chromatic_confocal_peaks"))
Pick the peak wavelengths of a return spectrum (one, or the two faces of a transparent body) to sub-bin precision.
> The detailed description below is the original text — the summary and the headings are translated.
reference: 白色参照(鏡を測定範囲いっぱいに動かして取った光源 × 分光器の応答、pairs)。与えると
スペクトルをこれで割ってから探す —— 光源のむらがピークを引っ張る偏りの補正。
max_peaks: 返すピークの最大数(大きい順に取り、波長順に並べ直す)。
mode: "gaussian"(3 点の対数の放物線)/ "parabolic"(3 点の放物線)/
"centroid"(半値より上の連続区間の重心)/ "peak"(最大のビン)。sinc² の応答に対して
どれが偏るかは PoC が測る(ガウスの式は sinc² には厳密でない)。
min_prominence: ピークと認める突出(scipy.signal.find_peaks の prominence)の、最大値に対する割合。subtract_background: 中央値を引いて 0 で切ってから探す。
返り値: ピークごとの dict の列(波長順): wavelength_nm / amplitude / fwhm_nm / bin。Raises ValueError: pairs でない・波長が等間隔でない・負の値、参照が帯域を覆わないか 0 を含む、ピークが 1 本も無い(平らなスペクトル)、ピークが最初か最後のビン(較正の範囲外)、頂上が 3 ビン以上平ら(飽和)、未知の mode。
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)chromatic_confocal_probe · confocal_axial_response · chromatic_confocal_spectrum · 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.