Issue |
EPJ Web Conf.
Volume 320, 2025
20th International Conference on Calorimetry in Particle Physics (CALOR 2024)
|
|
---|---|---|
Article Number | 00064 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/epjconf/202532000064 | |
Published online | 07 March 2025 |
https://doi.org/10.1051/epjconf/202532000064
Development of High-Granularity Dual-Readout Calorimetry with psec Timing
1 International Center for Elementary Particle Physics, the University of Tokyo, Tokyo 113-8654, Japan
2 Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
3 Department of Physics, Northern Illinois University, DeKalb, IL 60115, USA
4 High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
5 Department of Physics, Shinshu University, Nagano 390-8621, Japan
* e-mail: kmymski@icepp.s.u-tokyo.ac.jp
Published online: 7 March 2025
Dual-readout and particle flow algorithm (PFA) are technologies proposed for precise jet energy measurement in future colliders. While PFA requires highly granular calorimeters, dual-readout has mainly been used with fiber-based calorimeters that do not have highly segmented capabilities. It is still non-trivial to combine these two technologies in one calorimeter system because of the use of fibers in most of the dualreadout calorimeters, which is not compatible with the high granularity requirement of PFA technologies. The aim of this study is to develop a novel calorimetry that combines dual-readout and PFA by adopting a highly segmented tile-based configuration. This paper compares the improvement of energy resolution using dual-readout approach across several configurations of highly granular hadron calorimeters through simulation. Results indicate that setups with fine sampling and close placement of scintillators and Cherenkov detectors improve dual-readout performance.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.