tcspc op• Datenarten: counts → counts
• Aufruf: import fullseye as fs; fs.ledger.tcspc_irf_convolve(hist, bin_ps=100.0, irf_fwhm_ps=200.0, truncate=4.0) (die Implementierung direkt: import photoncount; photoncount.tcspc_irf_convolve(hist, bin_ps=100.0, irf_fwhm_ps=200.0, truncate=4.0); aus dem Register: opsphoton.get("tcspc_irf_convolve"))
Verschmiert ein Ankunftszeit-Histogramm mit der Geräteantwort (Timing-Jitter).
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
The temporal analogue of a PSF convolution: a detector's timing uncertainty (SPAD jitter + TDC quantisation + laser pulse width) smears every arrival time by the instrument response function, here a Gaussian of full width at half maximum *irf_fwhm_ps*. The kernel is the exact bin integral of that Gaussian (erf differences), normalised to sum 1, truncated at +-truncate*sigma and forced to odd length so the convolution is centred.
Ground truth: convolving a unit spike in the middle of a 256-bin window with irf_fwhm_ps = 500 at bin_ps = 50 leaves the centroid exactly where it was (measured shift 0.0 ps — the kernel is symmetric) and gives a profile whose measured FWHM is 501.22 ps. That 0.24% excess over 500 is the *measurement*, not the kernel: tcspc_stats finds the half-maximum crossings by linear interpolation between bins, which slightly overestimates the width of a Gaussian.
Total counts are preserved *except* at the window edges, where mode='same' discards the tail that falls outside — measured loss exactly 0 for that centred spike, but a genuine loss for a pulse within a few sigma of either end.
Returns a float64 1-D histogram of the same length as *hist*.
Raises ValueError: negative, non-finite or non-1-D *hist*, a non-positive *bin_ps* / *irf_fwhm_ps* / *truncate*, an IRF sigma below 1e-3 bins (the kernel would be a delta and the op a no-op — say so instead of pretending to blur), and a kernel that would be longer than the MAX_BINS cap.
• Leitfaden zur Familie photon_timeresolved
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
counts als Eingabe)tcspc_coates_correct · tcspc_background_subtract · tcspc_stats · dtof_depth · lifetime_fit · lifetime_phasor
tcspc)tcspc_simulate · tcspc_background_subtract · tcspc_stats
*Provenance: photoncount.py — PHOTON Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.