Optimizing the throughput of the ATLAS Geant4 detector simulation

For Run 3 at the Large Hadron Collider the Monte Carlo Detector Simulation performed with Geant4 (Full Simulation) within the ATLAS experiment has undergone significant improvements to enhance its computational performance and overall efficiency. Here we provide an overview of the physics and technical optimizations implemented in the ATLAS Full Simulation for Run 3. Notable physics developments include use of Geant4’s range cuts and G4GammaGeneralProcess for gammas, and variance reduction techniques such as neutron/photon Russian Roulette, and Woodcock Tracking in the Electromagnetic Endcap Calorimeter (EMEC). Technical developments include optimizations of the geometric representation of the particularly complex EMEC detector to assist navigation, tailored switch-off of the magnetic field, and use of static linking and Link-Time Optimization within a single shared library. These enhancements collectively resulted in a major achievement, increasing the throughput of the simulation by a factor of 2 compared to the baseline simulation configuration used in Run 2. Further optimizations are under development, and we provide an overview of this continuing programme covering both near and longer term features.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701351
Primary Topic
Particle Detector Development and Performance
Type
article
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article

Optimizing the throughput of the ATLAS Geant4 detector simulation

Michael Duehrssen-Debling, J. Schaarschmidt, E. Tcherniaev, John Apostolakis et al.
EPJ Web of Conferences
Particle Detector Development and Performance
article

Optimizing the throughput of the ATLAS Geant4 detector simulation

Michael Duehrssen-Debling, J. Schaarschmidt, E. Tcherniaev, John Apostolakis, Nitika Nitika, Benjamin J. Morgan, Julien Esseiva, W. H. Hopkins, M. A. Schmidt, D. W. Kim, Rui Zhang, J. D. Chapman, Marilena Bandieramonte, Mihály Novák, C. Marcon
article en

Abstract

For Run 3 at the Large Hadron Collider the Monte Carlo Detector Simulation performed with Geant4 (Full Simulation) within the ATLAS experiment has undergone significant improvements to enhance its computational performance and overall efficiency. Here we provide an overview of the physics and technical optimizations implemented in the ATLAS Full Simulation for Run 3. Notable physics developments include use of Geant4’s range cuts and G4GammaGeneralProcess for gammas, and variance reduction techniques such as neutron/photon Russian Roulette, and Woodcock Tracking in the Electromagnetic Endcap Calorimeter (EMEC). Technical developments include optimizations of the geometric representation of the particularly complex EMEC detector to assist navigation, tailored switch-off of the magnetic field, and use of static linking and Link-Time Optimization within a single shared library. These enhancements collectively resulted in a major achievement, increasing the throughput of the simulation by a factor of 2 compared to the baseline simulation configuration used in Run 2. Further optimizations are under development, and we provide an overview of this continuing programme covering both near and longer term features.

EPJ Web of ConferencesVol. 337
Ben-Gurion University of the Negev (IL), Argonne National Laboratory (US), Nanjing Tech University (CN), Lawrence Berkeley National Laboratory (US), University of Wuppertal (DE), University of Pittsburgh (US), University of Washington (US), University of Cambridge (GB), University of Warwick (GB), Bridge University (SS), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (IT), University of Washington Applied Physics Laboratory (US), Weizmann Institute of Science (IL), European Organization for Nuclear Research (CH), Nanjing University (CN), University of California, Berkeley (US)
Openalex Percentile: Top 87%
Particle Detector Development and Performance
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