Longitudinal structure optimization for the high density electromagnetic calorimeter

TL;DR

This paper presents a semi-analytical and genetic algorithm-based approach for optimizing the longitudinal structure of high-density electromagnetic calorimeters, enabling tailored performance improvements for future collider experiments.

Contribution

It introduces a novel semi-analytical method combined with genetic algorithms for non-uniform calorimeter structure optimization, advancing beyond traditional uniform designs.

Findings

Effective comparison of non-uniform and uniform structures

Enhanced calorimeter performance tailored to specific scenarios

New optimization methodology for calorimeter design

Abstract

High density electromagnetic sandwich calorimeters with high readout granularity are considered for many future collider and fix-target experiments. Optimization of the calorimeter structure from the point of view of the electromagnetic shower energy, position and direction measurement is one of the key aspects of the design. However, mostly uniform sampling structures were considered so far. We developed a semi-analytical approach to study calorimeter performance based on the detailed Geant 4 simulation, which also allows to compare the expected performance for different non-uniform longitudinal readout structures. For multi-objective optimization, procedure based on the genetic algorithm is complemented with non dominated sorting algorithm. This methodology opens new prospects for calorimeter design optimization directly addressing specific measurement scenarios or optimization goals.