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AtlFast3: The next generation of fast simulation in ATLAS

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    SYSNO ASEP0565793
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve SCOPUS
    TitleAtlFast3: The next generation of fast simulation in ATLAS
    Author(s) Aad, G. (FR)
    Abbott, B. (US)
    Abbott, D.C. (US)
    Chudoba, Jiří (FZU-D) RID, ORCID
    Hejbal, Jiří (FZU-D) RID, ORCID
    Hladík, Ondřej (FZU-D) ORCID
    Jačka, Petr (FZU-D) ORCID
    Kepka, Oldřich (FZU-D) RID, ORCID
    Kroll, Jiří (FZU-D) ORCID
    Kupčo, Alexander (FZU-D) RID, ORCID
    Latoňová, Věra (FZU-D) ORCID
    Lokajíček, Miloš (FZU-D) RID, ORCID
    Lysák, Roman (FZU-D) RID, ORCID
    Marčišovský, Michal (FZU-D) RID, ORCID
    Mikeštíková, Marcela (FZU-D) RID, ORCID
    Němeček, Stanislav (FZU-D) RID, ORCID
    Penc, Ondřej (FZU-D) ORCID
    Šícho, Petr (FZU-D) RID, ORCID
    Staroba, Pavel (FZU-D) RID, ORCID
    Svatoš, Michal (FZU-D) RID, ORCID
    Taševský, Marek (FZU-D) RID, ORCID
    Number of authors2914
    Article number7
    Source TitleComputing and Software for Big Science - ISSN 2510-2036
    Roč. 6, č. 1 (2022)
    Number of pages54 s.
    Languageeng - English
    CountryCH - Switzerland
    KeywordsGEANT ; new particle ; new interaction ; CERN LHC Coll
    Subject RIVBF - Elementary Particles and High Energy Physics
    OECD categoryParticles and field physics
    R&D ProjectsLM2018104 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Research Infrastructuree-INFRA CZ - 90140 - CESNET, zájmové sdružení právnických osob
    Method of publishingOpen access
    Institutional supportFZU-D - RVO:68378271
    EID SCOPUS85126227550
    DOI10.1007/s41781-021-00079-7
    AnnotationThe ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with GEANT4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation -- the calorimeter shower simulation -- with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges and simulation needs of the ATLAS experiment.
    WorkplaceInstitute of Physics
    ContactKristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
    Year of Publishing2023
    Electronic addresshttps://hdl.handle.net/11104/0339334
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