Track Segments within Hadronic Showers using the CALICE AHCal

TL;DR

This paper presents a tracking algorithm for identifying minimum ionizing particle (MIP)-like tracks within hadronic showers using the CALICE AHCal, aiding detector calibration and substructure analysis.

Contribution

The paper introduces a novel tracking algorithm that identifies MIP-like tracks within hadronic showers in a high-granularity calorimeter, enabling detailed substructure studies.

Findings

Effective identification of MIP-like tracks within hadronic showers.

Good agreement between Monte Carlo simulations and experimental data.

Enhanced tools for detector calibration and shower analysis.

Abstract

Using the high granular CALICE analog hadron calorimeter (AHCal) a tracking algorithm capable of identifying MIP-like tracks within hadronic showers is presented. Such an algorithm provides excellent tools for detector calibration and for studies of the substructure of hadronic showers. The properties of the identified tracks are used as observables for a Monte-Carlo to data comparison.