oct op• Data kinds: table → image2d
• Call: import fullseye as fs; fs.ledger.oct_bscan(spectra, window='hann', dc='reference', zero_pad=1, a2=0.0, a3=0.0, method='cubic', db_range=None, k_center=None) (to call the implementation directly, import octscan; octscan.oct_bscan(spectra, window='hann', dc='reference', zero_pad=1, a2=0.0, a3=0.0, method='cubic', db_range=None, k_center=None); from the registry, opsoptics.get("oct_bscan"))
• Return value through the ledger: fullseye.ledger.oct_bscan(...) returns only the declared out type image2d (the underlying function also returns auxiliary values). When you need what was dropped, use fullseye.ledger.oct_bscan.raw(...) or call octscan.oct_bscan directly.
Bundle of B-scan spectral interferograms → cross-sectional image (depth × lateral, table; declared in the ledger as a 20 log10 image, image2d).
> The detailed description below is the original text — the summary and the headings are translated.
各列を oct_k_linearize(method)→ oct_ascan にかける。dc: "reference"(既定、参照腕だけのスペクトルを引く)/ "mean"(参照を測っていない装置の常套手段 = 列の中央値を引く。★横に一様な界面 —— 平らな表面 —— の干渉縞も全列に共通なので一緒に消え、段差があると片側の深さに負の幽霊が出る)/ "reference+sample"(自己相関も消す)/ "none"。返り値: dict(kind="oct_bscan", image_db (Z, W)、z_um、x_um、noise_db (雑音の rms の dB)、center_nm、bandwidth_nm)。db_range = (下, 上) を渡すと image_db をその範囲に切る。
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
image2d as input)fraunhofer_pattern · pupil_psf · pupil_blur · psf_to_mtf · edge_spread · veiling_glare_index · emva_pair_statistics · emva_defect_pixels
oct)oct_design · oct_dispersion_broadening · oct_interferogram · oct_bscan_simulate · oct_from_spectra · oct_k_linearize · oct_dispersion_estimate · oct_dispersion_compensate
*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.