Determination of shower central position in laterally segmented lead-fluoride electromagnetic calorimeters

TL;DR

This paper investigates the spatial resolution of lead-fluoride electromagnetic calorimeters through Monte Carlo simulations, proposing a parametrization and a new fit algorithm to enhance accuracy and guide design improvements.

Contribution

It introduces a new fit algorithm and parametrization method for better spatial resolution in segmented calorimeters, optimized for energy and block size.

Findings

Parametrization of relative resolution improves understanding of calorimeter performance.

New fit algorithm enhances spatial resolution at high energies.

Guidelines for calorimeter design optimization are provided.

Abstract

The spatial resolution of laterally segmented electromagnetic calorimeters is studied on the basis of Monte-Carlo simulations worked-out for lead fluoride material. Parametrization of the relative resolution is proposed and optimized in terms of the energy of incoming particles and the elementary size of the calorimeter blocks. A new fit algorithm method is proposed that improves spatial resolution at high energies, and provides guidance for the design optimization of electromagnetic calorimeters.