counting op• Datenarten: image2d → table
• Aufruf: import fullseye as fs; fs.ledger.photon_statistics(counts) (die Implementierung direkt: import photoncount; photoncount.photon_statistics(counts); aus dem Register: opsphoton.get("photon_statistics"))
Poisson-Statistik eines Photonenzählbildes: ist es wirklich schrotrauschbegrenzt?
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
Returns a dict: mean · variance (population, ddof=0) · fano_factor = variance / mean (1 for a Poisson process) · snr_poisson = sqrt(mean) (the theoretical photon-limited SNR) · snr_measured = mean / std (what this frame actually achieved) · total_counts · n_samples · zero_fraction (the fraction of pixels that saw no photon at all — the honest measure of "photon starved"; exp(-lambda) for a flat field) · max_counts.
The Fano factor is evidence of Poisson statistics only on a flat field. On a structured scene the scene's own spatial variance dominates and the ratio is large and meaningless — this op computes the number, it cannot tell you which situation you are in. Measured on the test scenes: a flat lambda = 100 field (512x512, seed 0) gives 1.001089; the same detector looking at a linear ramp from 20 to 180 photons gives 22.4102. Both are "correct" and only one of them means anything.
Raises ValueError: negative, non-finite or non-2-D *counts*, fewer than 2 pixels (no variance), an all-zero frame (fano_factor would be 0/0 — say "no photons were detected" instead of returning NaN), and a frame with exactly zero variance (snr_measured would be inf; for n >= 2 a constant frame is not a Poisson realisation but a synthetic constant, i.e. an input mistake).
• Leitfaden zur Familie photon_timeresolved
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
table als Eingabe)—
counting)photon_sample · photon_uncertainty
*Provenance: photoncount.py — PHOTON Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.