counting op• Data kinds: image2d → image2d
• Call: import fullseye as fs; fs.ledger.photon_uncertainty(counts, relative=False, zero_floor=0.0) (implementation को सीधे call करना हो तो import photoncount; photoncount.photon_uncertainty(counts, relative=False, zero_floor=0.0), registry से लेना हो तो opsphoton.get("photon_uncertainty"))
photon-count frame का हर pixel का Poisson error bar।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
For a Poisson variable the variance *equals* the mean, so the one-sigma uncertainty of a single measurement N is sqrt(N) — no calibration, no noise model to fit. With relative=True the returned map is the relative uncertainty 1/sqrt(N) instead (its reciprocal is the per-pixel SNR).
*zero_floor* replaces counts below it before the square root. It exists because N = 0 gives sqrt(0) = 0, i.e. "this pixel is exactly zero with no uncertainty", which is wrong: the 95% Poisson upper limit for a single observed zero is about 3 photons. Set zero_floor=1.0 for the common "one-count prior" convention. It is not applied silently — the default is 0.0 and the absolute map really does return 0 there.
Returns a float64 (H, W) image.
Raises ValueError: negative, non-finite or non-2-D *counts*, a negative *zero_floor*, and — instead of returning inf — relative=True with any pixel at 0 after the floor (that is the division 1/sqrt(0); pass zero_floor > 0 to say what a zero should mean).
• photon_timeresolved family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
• poc_thermal_radiometry — py -3.11 examples/poc_thermal_radiometry.py
image2d को input के रूप में लेते हैं)photon_sample · photon_statistics · anscombe_transform · anscombe_inverse
counting)photon_sample · photon_statistics
*Provenance: photoncount.py — PHOTON operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.