counting op• 資料種類:image2d → image2d
• 呼叫:import photoncount; photoncount.photon_uncertainty(counts, relative=False, zero_floor=0.0)(或 opsphoton.get("photon_uncertainty"))
光子計數影格逐像素的卜瓦松誤差棒。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
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).
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者・年份)與用途見上面的族使用指南。
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
image2d 作為輸入)photon_sample · photon_statistics · anscombe_transform · anscombe_inverse
counting)photon_sample · photon_statistics
*Provenance: photoncount.py — PHOTON 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.