counting op• データ種: image2d → image2d
• 呼び出し: import photoncount; photoncount.photon_uncertainty(counts, relative=False, zero_floor=0.0) (または opsphoton.get("photon_uncertainty"))
光子計数フレームの画素ごとのポアソン誤差棒。
> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。
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 ファミリ ガイド
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
image2d を入力に取れる)photon_sample · photon_statistics · anscombe_transform · anscombe_inverse
counting)photon_sample · photon_statistics
*Provenance: photoncount.py — PHOTON operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.