Energy Reconstruction of Hadrons in highly granular combined ECAL and HCAL systems

TL;DR

This paper evaluates hadronic energy reconstruction techniques in combined ECAL and HCAL systems with high granularity, demonstrating a 30% improvement using software compensation and successful inter-calibration across different detector technologies.

Contribution

It introduces a software compensation algorithm utilizing local energy density to enhance energy resolution in combined calorimeter systems.

Findings

Software compensation improves energy resolution by up to 30%.

Combined system data achieve resolutions comparable to single-shower data.

Successful inter-calibration across different detector geometries and technologies.

Abstract

This paper discusses the hadronic energy reconstruction of two combined electromagnetic and hadronic calorimeter systems using physics prototypes of the CALICE collaboration: the silicon-tungsten electromagnetic calorimeter (Si-W ECAL) and the scintillator-SiPM based analog hadron calorimeter (AHCAL); and the scintillator-tungsten electromagnetic calorimeter (ScECAL) and the AHCAL. These systems were operated in hadron beams at CERN and FNAL, permitting the study of the performance in combined ECAL and HCAL systems. Two techniques for the energy reconstruction are used, a standard reconstruction based on calibrated sub-detector energy sums, and one based on a software compensation algorithm making use of the local energy density information provided by the high granularity of the detectors. The software compensation-based algorithm improves the hadronic energy resolution by up to 30% compared to the standard reconstruction. The combined system data show comparable energy resolutions to the one achieved for data with showers starting only in the AHCAL and therefore demonstrate the success of the inter-calibration of the different sub-systems, despite of their different geometries and different readout technologies.