spectral_xray 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.basis_decomposition_crlb(thickness_cm=(5.0, 0.0), basis=('WATER', 'AL'), channels=None, photons_per_pixel: 'float' = 100000.0) -> 'dict' (to call the implementation directly, import dualxray; dualxray.basis_decomposition_crlb(thickness_cm=(5.0, 0.0), basis=('WATER', 'AL'), channels=None, photons_per_pixel: 'float' = 100000.0) -> 'dict'; from the registry, opstomography.get("basis_decomposition_crlb"))
Return in closed form the lower bound (Cramér–Rao) on the variance of the decomposition at basis thicknesses b.
> The detailed description below is the original text — the summary and the headings are translated.
Fisher 情報 F = Σ_c (1/var_c) ∇mean_c ∇mean_cᵀ、∂mean_c/∂b_j = −n₀ Σ_k W g μ_j e^{−μ·b} (計数では var_c = mean_c で Poisson の Fisher 情報そのもの、Roessl & Herrmann 2009 の式)。CRLB = F⁻¹。返り値: dict(cov (B, B) [cm²], sigma_cm (B,), correlation, expected (C,), basis, condition(F の条件数 —— 2 つの基底の μ(E) が似ているほど大きい))。F が特異(チャネル < 基底、または同じ材料を 2 回)なら ValueError。
• 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_dual_energy_xray — py -3.11 examples/poc_dual_energy_xray.py
table as input)—
spectral_xray)material_xray_table · material_xray_attenuation · material_xray_constants · material_effective_z · xray_tube_spectrum · xray_beam_quality · photon_counting_channels · dual_kvp_channels
*Provenance: dualxray.py — TOMOGRAPHY 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.