typed op• 데이터 종류: counts → counts
• 호출: fullseye.apply(img, "tb_spad_deadtime_correct", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)
*그림 없음: 이 연산자는 counts를 입력으로 받습니다. 이미지에서 시작하는 Studio 프로그램으로는 그 타입에 닿지 않으므로 아래의 실행 가능한 예제를 보세요.*
데드타임으로 왜곡된 측정 속도로부터 실제 광자율을 복원.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
The exact inverse of the non-paralysable law of
:func: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 :func: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.
Typed bridge of the photon op `spad_deadtime_correct into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives dead_time_ns (default 50); b` is unused.
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• (아직 없음)
counts 를 입력으로 받는 것)identity · tb_spad_deadtime_apply · tb_tcspc_coates_correct · tb_tcspc_irf_convolve · tb_tcspc_background_subtract · tb_dtof_depth · tb_countrate_to_counts · tb_counts_to_countrate
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.