| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01267 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701267 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701267
A point library for the fast simulation of the LHCb calorimeter
1 INFN Sezione di Pisa, Pisa, Italy
2 Department of Physics, University of Warwick, Coventry, United Kingdom
3 National Center for Nuclear Research (NCBJ), Warsaw, Poland
* e-mail: sergey.kholodenko@cern.ch
** e-mail: matteo.rama@cern.ch
Published online: 7 October 2025
The simulation of physics events in the LHCb experiment uses the majority of the experiment’s distributed computing resources. Most of the computing time is spent on the Geant4-based detailed detector simulation, with approximately 50% of it dedicated to the calorimeter system. Optimizing the calorimeter simulation is therefore crucial for improving the overall computational efficiency. This article presents a solution implemented in the LHCb simulation software to accelerate the calorimeter simulation. During Geant4 transport, the simulation of particles entering the calorimeter is halted and hits are generated using libraries of pre-simulated energy deposits, which undergo a series of transformations to improve simulation accuracy without increasing the library size. This technique reduces the calorimeter computation time to a negligible level without significant loss of accuracy. A comparison between the outputs of the fast and detailed simulations is presented.
© The Authors, published by EDP Sciences, 2025
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