Pulse Shape Analysis and Identification of Multipoint Events in a Large-Volume Proportional Counter in an Experimental Search for 2K Capture Kr-78

TL;DR

This paper presents a pulse shape analysis method using wavelets to identify and distinguish multipoint events in a large-volume proportional counter, enhancing detection sensitivity for 2K capture of Kr-78.

Contribution

It introduces a novel wavelet-based pulse shape analysis algorithm for separating and analyzing multipoint events in a proportional counter, improving resolution and sensitivity.

Findings

Increased sensitivity and resolution by a factor of 3-4.

Effective separation of single- and multipoint events.

Enhanced detection capability for rare nuclear processes.

Abstract

A pulse shape analysis algorithm and a method for suppressing the noise component of signals from a large copper proportional counter in the experiment aimed at searching for 2K capture of Kr-78 are described. These signals correspond to a compound event with different numbers of charge clusters due to from primary ionization is formed by these signals. A technique for separating single- and multipoint events and determining the charge in individual clusters is presented. Using the Daubechies wavelets in multiresolutional signal analysis, it is possible to increase the sensitivity and the resolution in extraction of multipoint events in the detector by a factor of 3-4.