NNLC: Non-Negative Least Chi-square minimization and application to HPGe detectors

TL;DR

This paper introduces NNLC, an improved algorithm for chi-square minimization with non-negative solutions, demonstrating enhanced accuracy in locating gamma interactions in HPGe detectors.

Contribution

The paper presents NNLC, an evolved version of NNLS, specifically designed for better residue minimization in positive chi-square problems, applied to HPGe detector analysis.

Findings

Improved gamma-interaction localization accuracy

Enhanced residue minimization performance

Effective application to AGATA HPGe detectors

Abstract

A new method is proposed for the problem of solving chi-square minimization with a positive solution. This method is embodied in an evolution of the popular NNLS algorithm. Its efficiency with respect to residue minimization is illustrated by the improvement it permits on the location of gamma-interactions inside an AGATA HPGe detector.