effective_z_map — TOMOGRAPHY `spectral_xray` op

• Data kinds: images → image2d

• Call: import fullseye as fs; fs.ledger.effective_z_map(signal, channels=None, photons_per_pixel: 'float' = 100000.0, low: 'int' = 0, high: 'int' = -1, flat=None, min_log: 'float' = 0.05) -> 'np.ndarray' (to call the implementation directly, import dualxray; dualxray.effective_z_map(signal, channels=None, photons_per_pixel: 'float' = 100000.0, low: 'int' = 0, high: 'int' = -1, flat=None, min_log: 'float' = 0.05) -> 'np.ndarray'; from the registry, opstomography.get("effective_z_map"))

Usage

Estimate an effective-atomic-number image from dual-energy images (R matched against the curves of the elements).

> The detailed description below is the original text — the summary and the headings are translated.

各元素 Z(EFFECTIVE_Z_REFERENCES、H〜Fe)について、同じチャネルで質量厚さを振った(L_high, R) の曲線を作り、画素の L_high での R_Z を読む。画素の R を挟む 2 つの元素の間を Z について線形に補間した値が実効 Z。厚みの効果(ビーム硬化)は「同じ L_high で比べる」ことで打ち消す —— 厚い軽元素と薄い重元素が同じ L_high でも R で分かれる。

拒否: L_high < min_log、R が H より小さいか Fe より大きい(範囲の外 —— Fe より重い元素は R がほとんど同じで Z を区別できず、さらに重い金属は K 端がスペクトルの中にあって R が単調でない)画素は NaN。照合の曲線が Z について単調でない(窓の選び方で K 端が入る)ときは ValueError。

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept `image2d` as input)

radon_transform

Same category (`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).*

effective_z_map — TOMOGRAPHY spectral_xray op