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AtlFast3: The Next Generation of Fast Simulation in ATLAS

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dc.contributor.authorAad, G.
dc.contributor.authorAbbott, B.
dc.contributor.authorAbbott, D. C.
dc.contributor.authorAbud, A. A.
dc.contributor.authorBelotskiy, K.
dc.contributor.authorBelyaev, N. L.
dc.contributor.authorBulekov, O.
dc.contributor.authorKurova, A.
dc.contributor.authorPonomarenko, D.
dc.contributor.authorProklova, N.
dc.contributor.authorPyatiizbyantseva, D.
dc.contributor.authorRomaniouk, A.
dc.contributor.authorSmirnov, S. Y.
dc.contributor.authorSmirnov, Y.
dc.contributor.authorSoldatov, E. Y.
dc.contributor.authorTikhomirov, V. O.
dc.contributor.authorTimoshenko, S.
dc.contributor.authorVorobev, K.
dc.contributor.authorБелоцкий, Константин Михайлович
dc.contributor.authorБулеков, Олег Владимирович
dc.contributor.authorКурова, Анастасия Сергеевна
dc.contributor.authorПятиизбянцева, Диана Николаевна
dc.contributor.authorРоманюк, Анатолий Самсонович
dc.contributor.authorСмирнов, Сергей Юрьевич
dc.contributor.authorСмирнов, Юрий Сергеевич
dc.contributor.authorСолдатов, Евгений Юрьевич
dc.contributor.authorТихомиров, Владимир Олегович
dc.contributor.authorТимошенко, Сергей Леонидович
dc.contributor.authorВоробьёв, Константин Александрович
dc.date.accessioned2024-12-26T09:26:52Z
dc.date.available2024-12-26T09:26:52Z
dc.date.issued2022
dc.description.abstract© 2022, Springer Nature Switzerland AG.The 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. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.
dc.identifier.citationAtlFast3: The Next Generation of Fast Simulation in ATLAS / Aad, G. [et al.] // Computing and Software for Big Science. - 2022. - 6. - № 1. - 10.1007/s41781-021-00079-7
dc.identifier.doi10.1007/s41781-021-00079-7
dc.identifier.urihttps://www.doi.org/10.1007/s41781-021-00079-7
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85126227550&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28832
dc.relation.ispartofComputing and Software for Big Science
dc.titleAtlFast3: The Next Generation of Fast Simulation in ATLAS
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume6
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