spad op• 資料種類:countrate → countrate
• 呼叫: import fullseye as fs; fs.ledger.spad_deadtime_apply(rate_hz, dead_time_ns=50.0, paralyzable=False)(要直接呼叫實作,import photoncount; photoncount.spad_deadtime_apply(rate_hz, dead_time_ns=50.0, paralyzable=False);從台帳取用則 opsphoton.get("spad_deadtime_apply"))
用偵測器的死時間扭曲真實光子率(計數遺失)。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
After every detection a SPAD is blind for a recharge (dead) time tau, so the *measured* rate m is always below the *true* incident rate n. Two classical laws, and this op implements both:
• non-paralysable (default) — an arriving photon during the dead time is simply lost: m = n / (1 + n*tau). Monotonic, saturating at 1/tau.
• paralysable (paralyzable=True) — an arriving photon *restarts* the dead time: m = n * exp(-n*tau). This law peaks at n = 1/tau (where m = 1/(e*tau)) and then falls, so a bright scene can read *darker* than a dim one. That is why no inverse op exists for it (see spad_deadtime_correct).
*rate_hz* is a 1-D array of true rates in counts per second; *dead_time_ns* is the dead time in nanoseconds, defaulting to 50 — the middle of the 10-100 ns range a passively quenched SPAD occupies, and a placeholder to be replaced by the datasheet value, never a measurement of your detector. Returns the measured rates as a float64 1-D array of the same length.
Ground truth (pinned in the tests): at n = 1/tau the non-paralysable law gives exactly n/2; the paralysable law's maximum is exactly 1/(e*tau) at n = 1/tau; both reduce to m = n as n*tau -> 0.
Raises ValueError: negative, non-finite or non-1-D *rate_hz*, a non-positive *dead_time_ns*, and a non-bool *paralyzable*.
• 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
countrate 作為輸入)spad)spad_deadtime_correct · tcspc_coates_correct
*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.