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Article: Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
Title | Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC |
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Authors | |
Keywords | Collisions Jets Proton–proton collisions |
Issue Date | 2019 |
Publisher | Springer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org |
Citation | The European Physical Journal C: Particles and Fields, 2019, v. 79 n. 5, p. article no. 375 How to Cite? |
Abstract | The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at s = 13 TeV recorded by the ATLAS experiment at the Large Hadron Collider is presented. A set of techniques based on jet shape observables are studied to determine a set of optimal cut-based taggers for use in physics analyses. The studies are extended to assess the utility of combinations of substructure observables as a multivariate tagger using boosted decision trees or deep neural networks in comparison with taggers based on two-variable combinations. In addition, for highly boosted top-quark tagging, a deep neural network based on jet constituent inputs as well as a re-optimisation of the shower deconstruction technique is presented. The performance of these taggers is studied in data collected during 2015 and 2016 corresponding to 36.1 fb - 1 for the tt¯ and γ+ jet and 36.7 fb - 1 for the dijet event topologies. © 2019, CERN for the benefit of the ATLAS collaboration. |
Persistent Identifier | http://hdl.handle.net/10722/272943 |
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.451 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LO, CY | - |
dc.contributor.author | Orlando, N | - |
dc.contributor.author | Paredes Hernandez, D | - |
dc.contributor.author | Salvucci, A | - |
dc.contributor.author | Tu, Y | - |
dc.contributor.author | ATLAS Collaboration | - |
dc.contributor.author | Pizzimento, L | - |
dc.date.accessioned | 2019-08-06T09:19:32Z | - |
dc.date.available | 2019-08-06T09:19:32Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | The European Physical Journal C: Particles and Fields, 2019, v. 79 n. 5, p. article no. 375 | - |
dc.identifier.issn | 1434-6044 | - |
dc.identifier.uri | http://hdl.handle.net/10722/272943 | - |
dc.description.abstract | The performance of identification algorithms (“taggers”) for hadronically decaying top quarks and W bosons in pp collisions at s = 13 TeV recorded by the ATLAS experiment at the Large Hadron Collider is presented. A set of techniques based on jet shape observables are studied to determine a set of optimal cut-based taggers for use in physics analyses. The studies are extended to assess the utility of combinations of substructure observables as a multivariate tagger using boosted decision trees or deep neural networks in comparison with taggers based on two-variable combinations. In addition, for highly boosted top-quark tagging, a deep neural network based on jet constituent inputs as well as a re-optimisation of the shower deconstruction technique is presented. The performance of these taggers is studied in data collected during 2015 and 2016 corresponding to 36.1 fb - 1 for the tt¯ and γ+ jet and 36.7 fb - 1 for the dijet event topologies. © 2019, CERN for the benefit of the ATLAS collaboration. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org | - |
dc.relation.ispartof | The European Physical Journal C: Particles and Fields | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Collisions | - |
dc.subject | Jets | - |
dc.subject | Proton–proton collisions | - |
dc.title | Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC | - |
dc.type | Article | - |
dc.identifier.email | Paredes Hernandez, D: dparedes@hku.hk | - |
dc.identifier.email | Tu, Y: yanjuntu@hku.hk | - |
dc.identifier.authority | Tu, Y=rp01971 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1140/epjc/s10052-019-6847-8 | - |
dc.identifier.scopus | eid_2-s2.0-85065123030 | - |
dc.identifier.hkuros | 299839 | - |
dc.identifier.volume | 79 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | article no. 375 | - |
dc.identifier.epage | article no. 375 | - |
dc.identifier.isi | WOS:000466407600007 | - |
dc.publisher.place | Germany | - |
dc.identifier.issnl | 1434-6044 | - |