Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisions

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dc.authorwosidGordon, Reuven/B-1090-2008
dc.authorwosidyang, liu/JXX-5043-2024
dc.authorwosidKar, Deepak/N-1844-2014
dc.authorwosidMikel Eukeni, Pozo Astigarraga/AAZ-8345-2021
dc.authorwosidCamarda, Stefano/IQW-2840-2023
dc.authorwosidCapua, Marcella/A-8549-2015
dc.authorwosidShmeleva, Alevtina/M-6199-2015
dc.contributor.authorAaboud, M.
dc.contributor.authorAad, G.
dc.contributor.authorAbbott, B.
dc.contributor.authorAbdinov, O.
dc.contributor.authorAbeloos, B.
dc.contributor.authorAbhayasinghe, D. K.
dc.contributor.authorÇetin, Serkant Ali
dc.date.accessioned2024-07-18T20:47:43Z
dc.date.available2024-07-18T20:47:43Z
dc.date.issued2021
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Enerji Sistemleri Mühendisliği Bölümüen_US
dc.description.abstractJet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a 'unified flow object' is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at root 8 = 13 TeV during 2017.en_US
dc.description.sponsorshipANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; ANID, Chile; CAS, China; MOST, China; NSFC, China; COLCIENCIAS, Colombia; MSMT CR, Czech Republic; MPO CR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRT, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MESofRussia, Russian Federation; NRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, USA; NSF, USA; BCKDF, Canada; CANARIE, Canada; ComputeCanada, Canada; CRC, Canada; IVADO, Canada; Beijing Municipal Science AMP; Technology Commission, China; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos program - EU-ESF, Greece; Thales program - EU-ESF, Greece; Aristeia program - EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; GIF, Israel; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Program Generalitat Valenciana, Spain; GenT Program Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; Science and Technology Facilities Council [ST/S000879/1] Funding Source: researchfish; STFC [ST/S000879/1, ST/S000933/1, ST/N000331/1, ST/N000420/1, ST/S00095X/1] Funding Source: UKRIen_US
dc.description.sponsorshipWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MESofRussia and NRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups andmembers have received support from BCKDF, CANARIE, ComputeCanada, CRC and IVADO, Canada; Beijing Municipal Science & Technology Commission, China; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [93].en_US
dc.identifier.doi10.1140/epjc/s10052-021-09054-3
dc.identifier.issn1434-6044
dc.identifier.issn1434-6052
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85104634185en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1140/epjc/s10052-021-09054-3
dc.identifier.urihttps://hdl.handle.net/11411/7900
dc.identifier.volume81en_US
dc.identifier.wosWOS:000641660400005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇetin, Serkant Ali
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEuropean Physical Journal Cen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFragmentationen_US
dc.titleOptimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisions
dc.typeArticle

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