tcspc op• 데이터 종류: counts → table
• 호출: import fullseye as fs; fs.ledger.tcspc_stats(hist, bin_ps=100.0)(구현을 직접 호출하려면 import photoncount; photoncount.tcspc_stats(hist, bin_ps=100.0), 원장에서 가져오려면 opsphoton.get("tcspc_stats"))
도달 시각 히스토그램의 기술량: 피크·무게중심·폭·배경.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
Returns a dict: total_counts · peak_bin (int) · peak_counts · peak_time_ps (the centre of the peak bin, (k + 0.5)*bin_ps) · centroid_ps (the first moment over the whole histogram, background included — run tcspc_background_subtract first if that matters) · fwhm_ps (full width at half maximum *above the background*, by linear interpolation of the two half-crossings around the peak) · background_per_bin (the median bin, the same robust estimate tcspc_background_subtract uses) · signal_counts (total - background*bins) · sbr (signal-to-background ratio, or None when the background estimate is 0) · n_bins · window_ps.
fwhm_ps is None — never a fabricated number — when the profile does not cross the half-maximum on both sides of the peak, which is exactly what a monotone fluorescence decay does (its peak is bin 0). A None here means "this histogram has no width in the FWHM sense", not "the measurement failed".
Ground truth: for a noiseless Gaussian return of FWHM 500 ps, centroid_ps matches the analytic 2d/c to 1.8e-12 ps. fwhm_ps comes back as 508.41 at 100 ps bins and 503.07 at 50 ps bins — the linear interpolation between two bins on either flank systematically overestimates a Gaussian's width, by 1.7% and 0.6% respectively, and the error shrinks with the bin width. That bias is a property of the estimator; it is reported here rather than hidden behind a "500" that only holds in the continuum limit.
Raises ValueError: negative, non-finite or non-1-D *hist*, a non-positive *bin_ps*, and an all-zero histogram (no photon arrived, so there is no arrival time; the centroid would be 0/0).
• 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.
• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
table 를 입력으로 받는 것)—
tcspc)tcspc_simulate · tcspc_irf_convolve · tcspc_background_subtract
*Provenance: photoncount.py — PHOTON 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.