pxrd op• Data kinds: image2d × table → table
• Call: import fullseye as fs; fs.ledger.azimuthal_integrate(image, geometry, n_bins=None, two_theta_range=None, mask=None, solid_angle=True, polarization=None, chi_range=None, supersample=2) (to call the implementation directly, import pxrd; pxrd.azimuthal_integrate(image, geometry, n_bins=None, two_theta_range=None, mask=None, solid_angle=True, polarization=None, chi_range=None, supersample=2); from the registry, opsdrive.get("azimuthal_integrate"))
Reduces a 2-D detector image to a 1-D profile in 2θ (azimuthal integration, with mask and corrections).
> The detailed description below is the original text — the summary and the headings are translated.
各画素を supersample² 個の副画素に分け(値は等分)、副画素の中心の 2θ でビンに振り分けて、ビンごとに 平均 する(画素の分け方の粗さによる縞を減らす)。solid_angle=True で相対立体角を、polarization が数(0 = 無偏光、1 = 水平偏光)なら偏光因子を、平均の前に割り戻す。mask は True の画素を 除く(同じ形の bool)。chi_range = (χ₀, χ₁) [deg] で扇形だけを積分(χ は atan2 の (−180, 180])。非有限の画素は mask に入っていなければ拒否する。
n_bins の既定は画素 1 個の角の半分の幅になる数(0.5·pixel/distance [rad])。返り値(dict): two_theta(ビンの中心 [deg])・intensity(平均)・count(副画素の重みの和、0 のビンは intensity が nan —— 埋めない)・sigma(Poisson を仮定した平均の標準誤差)。
Raises ValueError: 2-D でない、mask の形の不一致、非有限の画素、範囲が空、扇形が空、ビン数 < 8。
• 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_pxrd_phase_peel — py -3.11 examples/poc_pxrd_phase_peel.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
pxrd)cif_read · cubic_prototype · powder_reflections · scherrer_size · debye_ring_image · detector_two_theta · detector_calibrate · diffraction_peaks
*Provenance: pxrd.py — DRIVE 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.