Physical basis of critical analysis

TL;DR

This paper introduces a novel analytical method for signal amplitude analysis that effectively filters artificial events in superheavy nuclei decay detection, utilizing a new statistical criterion for rare event identification.

Contribution

The paper presents a new approach to signal analysis and a statistical criterion that improves detection of rare events amidst random noise in nuclear decay experiments.

Findings

Elimination of artificial events from decay candidate list

Application of the method to measure evaporation residue amplitudes

Introduction of a hard statistical criterion for rare event detection

Abstract

A new approach to provide a fruitful analysis of signal amplitude is proposed. It is this method that has made it possible to eliminate some observed artificial events from the list of candidates for decays of superheavy nuclei. Examples of estimates of measured amplitudes of evaporation residues (EVR) are presented. Some attention is paid to a new hard statistical criterion for detecting rare events. This criterion can be applied in the case of significant role of random factors.