sensorchar op• Data kinds: volume × volume → table
• Call: import fullseye as fs; fs.ledger.emva_spatial_nonuniformity(dark_stack, bright_stack, K) (to call the implementation directly, import sensorchar; sensorchar.emva_spatial_nonuniformity(dark_stack, bright_stack, K); from the registry, opsoptics.get("emva_spatial_nonuniformity"))
DSNU and PRNU (Eqs. 33–42, 66, 67).
*dark_stack*, *bright_stack*: L frames taken at the same exposure ((L, M, N), L ≥ 2). bright is taken at about 50 % of saturation. From the spatial variance of the mean image, subtract the residual temporal noise σ²_y/L (eq. 36), split into column, row and pixel components (eq. 42), DSNU1288 = s_y.dark / K [e⁻] (eq. 66), PRNU1288 = √(s²_y.50 − s²_y.dark)/(μ_y.50 − μ_y.dark) (eq. 67, a ratio). ★The standard computes these on images passed through the high-pass filter of section 8.1 (removing illumination non-uniformity) —— this op uses the given images as they are (pass images with the illumination non-uniformity removed).
Returns {"dark": {...}, "bright": {...}, "DSNU1288_e", "PRNU1288", "var_temporal_dark", "var_temporal_bright", "L"}.
Raises ValueError: not 3-D / L < 2 / different shapes / K not positive / bright mean ≤ dark / s²_y.50 < s²_y.dark.
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_emva1288_sensor — py -3.11 examples/poc_emva1288_sensor.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
sensorchar)emva_pair_statistics · emva_photon_transfer · emva_quantum_efficiency · emva_linearity_error · emva_snr_curve · emva_sensitivity_threshold · emva_dynamic_range · emva_dark_current
*Provenance: sensorchar.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.