Autocorrelation Central Hole in Clipped Photon-counting Detection Estimation from the Zero-count Probability Density
Manuel P. Cagigal, Pedro M. Prieto
Abstract
Manuel P. Cagigal, Pedro M. Prieto
Abstract
In this paper we develop a procedure to avoid the autocorrelation central hole that appears in clipped photon-counting detection. This method can be understood as a higher order approximation than the Hofmann procedure. It can be applied in combination with any of the alternative methods to evaluate the autocorrelation function in clipped conditions proposed up until the present. We especially analyse that based on the zero-count probability measurement. Fairly good autocorrelation estimates are obtained for low intensity signals.
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In this paper we develop a procedure to avoid the autocorrelation central hole that appears in clipped photon-counting detection. This method can be understood as a higher order approximation than the Hofmann procedure. It can be applied in combination with any of the alternative methods to evaluate the autocorrelation function in clipped conditions proposed up until the present. We especially analyse that based on the zero-count probability measurement. Fairly good autocorrelation estimates are obtained for low intensity signals.
Key concepts: Autocorrelation, Autocorrelation technique, Zero (linguistics), Photon counting, Statistics, Physics, Probability density function, Statistical physics