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Optimizing the ATLAS Geant4 detector simulation software

The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020...

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Autores principales: Kourlitis, Evangelos, Bandieramonte, Marilena, Lari, Tommaso, Chapman, John Derek, Duehrssen-Debling, Michael, Sukharev, Andrei, Morgan, Benjamin, Marcon, Caterina, Apostolakis, John, Novak, Mihaly, Muskinja, Miha, Hopkins, Walter, Schmidt, Mustafa Andre, Vishwakarma, Akanksha, Tcherniaev, Evgueni, Amadio, Guilherme, Kim, Dongwon, Wynne, Benjamin Michael
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2838150
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author Kourlitis, Evangelos
Bandieramonte, Marilena
Lari, Tommaso
Chapman, John Derek
Duehrssen-Debling, Michael
Sukharev, Andrei
Morgan, Benjamin
Marcon, Caterina
Apostolakis, John
Novak, Mihaly
Muskinja, Miha
Hopkins, Walter
Schmidt, Mustafa Andre
Vishwakarma, Akanksha
Tcherniaev, Evgueni
Amadio, Guilherme
Kim, Dongwon
Wynne, Benjamin Michael
author_facet Kourlitis, Evangelos
Bandieramonte, Marilena
Lari, Tommaso
Chapman, John Derek
Duehrssen-Debling, Michael
Sukharev, Andrei
Morgan, Benjamin
Marcon, Caterina
Apostolakis, John
Novak, Mihaly
Muskinja, Miha
Hopkins, Walter
Schmidt, Mustafa Andre
Vishwakarma, Akanksha
Tcherniaev, Evgueni
Amadio, Guilherme
Kim, Dongwon
Wynne, Benjamin Michael
author_sort Kourlitis, Evangelos
collection CERN
description The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2.
id cern-2838150
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28381502022-10-22T21:46:13Zhttp://cds.cern.ch/record/2838150engKourlitis, EvangelosBandieramonte, MarilenaLari, TommasoChapman, John DerekDuehrssen-Debling, MichaelSukharev, AndreiMorgan, BenjaminMarcon, CaterinaApostolakis, JohnNovak, MihalyMuskinja, MihaHopkins, WalterSchmidt, Mustafa AndreVishwakarma, AkankshaTcherniaev, EvgueniAmadio, GuilhermeKim, DongwonWynne, Benjamin MichaelOptimizing the ATLAS Geant4 detector simulation softwareParticle Physics - ExperimentThe ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2.ATL-SOFT-SLIDE-2022-552oai:cds.cern.ch:28381502022-10-22
spellingShingle Particle Physics - Experiment
Kourlitis, Evangelos
Bandieramonte, Marilena
Lari, Tommaso
Chapman, John Derek
Duehrssen-Debling, Michael
Sukharev, Andrei
Morgan, Benjamin
Marcon, Caterina
Apostolakis, John
Novak, Mihaly
Muskinja, Miha
Hopkins, Walter
Schmidt, Mustafa Andre
Vishwakarma, Akanksha
Tcherniaev, Evgueni
Amadio, Guilherme
Kim, Dongwon
Wynne, Benjamin Michael
Optimizing the ATLAS Geant4 detector simulation software
title Optimizing the ATLAS Geant4 detector simulation software
title_full Optimizing the ATLAS Geant4 detector simulation software
title_fullStr Optimizing the ATLAS Geant4 detector simulation software
title_full_unstemmed Optimizing the ATLAS Geant4 detector simulation software
title_short Optimizing the ATLAS Geant4 detector simulation software
title_sort optimizing the atlas geant4 detector simulation software
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2838150
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