spad_deadtime_correct — PHOTON spad op

• 数据种类:countrate → countrate

• 调用: import fullseye as fs; fs.ledger.spad_deadtime_correct(measured_hz, dead_time_ns=50.0)(要直接调用实现,import photoncount; photoncount.spad_deadtime_correct(measured_hz, dead_time_ns=50.0);从台账取用则 opsphoton.get("spad_deadtime_correct"))

用法

由被死时间扭曲的测量率恢复真实光子率。

> 以下的详细说明为原文 —— 摘要与标题已翻译。

The exact inverse of the non-paralysable law of spad_deadtime_apply::

n = m / (1 - m*tau)

A round trip apply -> correct is exact to machine precision (measured max elementwise relative error 6.0e-16 over 2000 rates spanning 1e3 to 5e7 Hz at tau = 50 ns, where the measured rate reaches 71.4% of the 20 MHz saturation rate).

There is deliberately no paralysable inverse. m = n*exp(-n*tau) is not injective — every measured rate below the maximum 1/(e*tau) corresponds to *two* true rates, one below and one above 1/tau — so returning one of them would be a fabrication dressed as a correction. Resolve the branch with an independent measurement (e.g. an attenuator step) and invert it yourself.

*measured_hz* is a 1-D array of measured rates in counts per second; *dead_time_ns* the dead time in nanoseconds (default 50, the same

placeholder spad_deadtime_apply uses — replace it with the datasheet value). Returns the corrected true rates as a float64 1-D array.

Raises ValueError: negative, non-finite or non-1-D *measured_hz*, a non-positive *dead_time_ns*, and — instead of returning inf or a negative rate — any measured rate at or above the saturation rate 1/tau, which no non-paralysable detector can ever produce.

详细使用指南

• photon_timeresolved 族使用指南

参考(示例数据、文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者、年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• photon_timeresolved — py -3.11 examples/photon_timeresolved.py

类型可衔接的下一个算子(可接受 countrate 作为输入)

spad_deadtime_apply

同类别(spad)

spad_deadtime_apply · tcspc_coates_correct


*Provenance: photoncount.py — PHOTON 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.