False Alarm Rate based Statistical Detection Limit for Astronomical Photon Detectors
Albert Wai Kit Lau, Leo W.H. Fung, and George F. Smoot

TL;DR
This paper introduces a statistical detection limit framework based on false alarm rates for ultra-fast astronomical photon detectors, addressing limitations of traditional SNR thresholds in high-speed observations.
Contribution
It develops a probabilistic detection criterion that accounts for various noise sources and demonstrates its application to different detector technologies in ultra-fast astronomy.
Findings
The model accurately predicts detection limits under various noise conditions.
Comparison of detector technologies reveals their relative performance in high-speed detection.
The framework improves detection fidelity in ultra-fast astronomical observations.
Abstract
In ultra-fast astronomical observations featuring fast transients on sub-s time scales, the conventional Signal-to-Noise Ratio (SNR) threshold, often fixed at , becomes inadequate as observational window timescales shorten, leading to unsustainably high False Alarm Rates (FAR). We provide a basic statistical framework that captures the essential noise generation processes relevant to the analysis of time series data from photon-counting detectors. In particular, we establish a protocol of defining detection limits in astronomical photon-counting experiments, such that a FAR-based criterion is preferred over the traditional SNR-based threshold scheme. We developed statistical models that account for noise sources such as dark counts, sky background, and crosstalk, and establish a probabilistic detection criterion applicable to high-speed detectors. The model is testified…
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