Longitudinal structure optimization for a high density electromagnetic calorimeter

Oleksandr Borysov, Shan Huang, Kamil Zembaczynski, Aleksander Filip Zarnecki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High density electromagnetic sandwich calorimeters with high readout granularity are considered for many future colliders 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 comparing the expected performance for different non-uniform longitudinal readout structures. For multi-objective optimization, a procedure based on the genetic algorithm is complemented with non dominated sorting algorithm. This methodology opens new prospects for a calorimeter design optimization, directly addressing specific measurement scenarios or optimization goals.
Original languageEnglish
Title of host publicationInternational Workshop On Future Linear Colliders, Lcws2024
EditorsD Jeans, J Tian
Number of pages11
Volume315
DOIs
Publication statusPublished - 18 Dec 2024
Event2024 International Workshop on Future Linear Colliders - Tokyo, Japan
Duration: 8 Jul 202411 Jul 2024

Publication series

SeriesEpj Web Of Conferences

Conference

Conference2024 International Workshop on Future Linear Colliders
Country/TerritoryJapan
CityTokyo
Period8/7/2411/7/24

Funding

This study was performed in the framework of the ECAL group of the LUXE collaboration. We wish to thank all group members who contributed to the discussions of the results and the manuscript. We would also like to acknowledge support and hospitality of WIS, Rehovot and IFIC, Valencia during our visits.

Fingerprint

Dive into the research topics of 'Longitudinal structure optimization for a high density electromagnetic calorimeter'. Together they form a unique fingerprint.

Cite this