A point library for the fast simulation of the LHCb calorimeter

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.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701267
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A point library for the fast simulation of the LHCb calorimeter

M. Kreps, S. Kholodenko, M. Mazurek, M. Rama
EPJ Web of Conferences
Particle physics theoretical and experimental studies
article

A point library for the fast simulation of the LHCb calorimeter

M. Kreps, S. Kholodenko, M. Mazurek, M. Rama
article en

Abstract

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.

EPJ Web of ConferencesVol. 337
University of Warwick (GB), National Centre for Nuclear Research (PL), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa (IT)
Openalex Percentile: Top 88%
Particle physics theoretical and experimental studies
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