Issue |
EPJ Web Conf.
Volume 320, 2025
20th International Conference on Calorimetry in Particle Physics (CALOR 2024)
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Article Number | 00022 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/epjconf/202532000022 | |
Published online | 07 March 2025 |
https://doi.org/10.1051/epjconf/202532000022
Design and performance of the calorimeter system for ALLEGRO FCC-ee detector concept
CERN
* e-mail: michaela.mlynarikova@cern.ch
Published online: 7 March 2025
The future circular electron-positron collider (FCC-ee) will be a unique precision instrument designed to o↵er great direct and indirect sensitivity to new physics. Its primary purpose will be to study the heaviest known particles (Z, W, and H bosons and the top quark) with unprecedented precision, a goal that introduces multiple challenges in the detector design. Key requirements for the detector include excellent energy and angular resolution coupled with strong particle identification capabilities. One of the proposed experiments for FCC-ee is ALLEGRO, a general-purpose detector concept that is currently in its design and optimization phase. This contribution aims to introduce ALLEGRO’s calorimeter system, o↵ering a comprehensive overview of the baseline technologies planned for its two calorimeter systems: a highly granular noble-liquid electromag-netic calorimeter and a hadronic calorimeter with scintillating-light readout using wavelength shifting fibers. To assess the calorimeters’ performance, test di↵erent detector geometries, and fine-tune reconstruction algorithms such as topological clustering, we employ Monte Carlo simulations of single particles. Preliminary results from performance studies with the standalone hadronic calorimeter and combined calorimeters are presented, thus shedding light on the promising capabilities of this newly introduced detector concept for FCC-ee. In addition to these design-focused analyses, we briefly introduce our inquiries into the potential use of machine-learning approaches for particle identification and detector calibration.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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