Fast analytical methods for the correction of signal random time-shifts and application to segmented HPGe detectors

TL;DR

This paper introduces two rapid algebraic techniques to accurately estimate and correct random time shifts in detector signals, improving the reliability of particle detection systems.

Contribution

The paper presents novel fast algebraic methods for signal time-shift correction, enhancing detection accuracy in particle measurement systems.

Findings

Methods effectively estimate time shifts in signals

Improved signal comparison reliability

Applicable to segmented HPGe detectors

Abstract

Detection systems rely more and more on on-line or off-line comparison of detected signals with basis signals in order to determine the characteristics of the impinging particles. Unfortunately, these comparisons are very sensitive to the random time shifts that may alter the signal delivered by the detectors. We present two fast algebraic methods to determine the value of the time shift and to enhance the reliability of the comparison to the basis signals.