Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8700
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dc.contributor.authorAad G.-
dc.contributor.authorAbbott B.-
dc.contributor.authorAbbott D.C.-
dc.contributor.authorAbud A.A.-
dc.contributor.authorAbeling K.-
dc.contributor.authorAbhayasinghe D.K.-
dc.contributor.authorAbidi S.H.-
dc.date.accessioned2022-07-30T16:45:52Z-
dc.date.available2022-07-30T16:45:52Z-
dc.date.issued2022-
dc.identifier.citationAad, G., Abbott, B., Abbott, D. C., Abud, A. A., Abeling, K., Abhayasinghe, D. K., ... & Bandieramonte, M. (2022). Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events. Computing and Software for Big Science, 6(1), 1-35.en_US
dc.identifier.issn2510-2044-
dc.identifier.urihttps://doi.org/10.1007/s41781-021-00062-2-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8700-
dc.description.abstractThe accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hard scatter, and stored as combined events. Consequently, for each hard-scatter interaction, only one such presampled event needs to be added as part of the simulation chain. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy. © 2022, The Author(s).en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofComputing and Software for Big Scienceen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEmulating the Impact of Additional Proton–proton Interactions in the Atlas Simulation by Presampling Sets of Inelastic Monte Carlo Eventsen_US
dc.typeArticleen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümüen_US
dc.departmentFaculties, Faculty of Engineering, Department of Material Science and Nanotechnology Engineeringen_US
dc.identifier.volume6en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85124276335en_US
dc.institutionauthorSultansoy, Saleh-
dc.identifier.doi10.1007/s41781-021-00062-2-
dc.authorscopusid26326745400-
dc.authorscopusid35226946900-
dc.authorscopusid57208306618-
dc.authorscopusid57208907456-
dc.authorscopusid57210132793-
dc.authorscopusid57193183451-
dc.authorscopusid56536227400-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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