oct op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.oct_dispersion_estimate(interferogram, method='sharpness', a2_range=(-2000.0, 2000.0), a3_range=None, z_range_um=None, dc='reference', n_grid=81) (to call the implementation directly, import octscan; octscan.oct_dispersion_estimate(interferogram, method='sharpness', a2_range=(-2000.0, 2000.0), a3_range=None, z_range_um=None, dc='reference', n_grid=81); from the registry, opsoptics.get("oct_dispersion_estimate"))
Estimate the dispersion-compensation coefficients a2 and a3 from a measured spectrum (table → table).
> The detailed description below is the original text — the summary and the headings are translated.
method="mirror": 鏡(反射体 1 つ)のスペクトル。FFT でピークだけを切り出し、逆 FFT した解析信号の位相を complexops.phase_unwrap でアンラップし、振幅の重みで Δk の 3 次式に当てる → a2 = 2 次の係数、a3 = 3 次の係数(Wojtkowski ら 2004 の鏡による較正)。method="sharpness": 試料そのもの。A スキャンの鋭さ Σ|A|⁴/(Σ|A|²)² が最大になる a2(と a3)を格子 → 黄金分割で探す(z_range_um の範囲で数える)。どちらも k 等間隔が前提(でなければ拒否)。
返り値: dict(kind="oct_dispersion_fit", a2, a3, method, sharpness / residual_rad)。
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_industrial_oct — py -3.11 examples/poc_industrial_oct.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
oct)oct_design · oct_dispersion_broadening · oct_interferogram · oct_bscan_simulate · oct_from_spectra · oct_k_linearize · oct_dispersion_compensate · oct_ascan
*Provenance: octscan.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.