Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at p s=13 TeV ffi with the ATLAS Detector

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dc.authoridCastro, Nuno/0000-0001-8491-4376
dc.authoridGrinstein, Sebastian/0000-0002-6460-8694
dc.authoridWang, Xiaoning/0000-0002-2411-7399
dc.authoridGarcia, Carmen/0000-0003-1625-7452
dc.authoridSantra, Arka/0000-0003-4644-2579
dc.authoridBenchekroun, Driss/0000-0001-5196-8327
dc.authoridMindur, Bartosz/0000-0002-5511-2611
dc.authorwosidCastro, Nuno/AAB-3648-2019
dc.authorwosidGrinstein, Sebastian/ABE-1880-2020
dc.authorwosidWang, Xiaoning/KFT-2802-2024
dc.authorwosidGarcia, Carmen/W-2465-2018
dc.authorwosidSantra, Arka/AEE-4946-2022
dc.authorwosidBenchekroun, Driss/JCN-4659-2023
dc.authorwosidMindur, Bartosz/A-2253-2017
dc.contributor.authorAad, G.
dc.contributor.authorAbbott, B.
dc.contributor.authorAbeling, K.
dc.contributor.authorAbicht, N. J.
dc.contributor.authorAbidi, S. H.
dc.contributor.authorAboulhorma, A.
dc.contributor.authorÇetin, Serkant Ali
dc.date.accessioned2024-05-19T14:51:07Z
dc.date.available2024-05-19T14:51:07Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractSearches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb-1 of pp collisions at p ffi s ffi= 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or b jet and either one lepton (e; mu), photon, or second light jet or b jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions.en_US
dc.description.sponsorshipNCN; NAWA, Poland; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Gran Gustafssons Stiftelse, Sweden; Royal Society; Leverhulme Trust, United Kingdom; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands) , PIC (Spain); ASGC (Taiwan); BNL (USA)en_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; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZ & Scaron;, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU 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 MINERVA, Israel; NorwegianFinancial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goeran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial comput-ing 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 pro-viders. Major contributors of computing resources are listed in Ref. [61] .r Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; 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 comput-ing 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 pro-viders. Major contributors of computing resources are listed in Ref. [61] .en_US
dc.identifier.doi10.1103/PhysRevLett.132.081801
dc.identifier.issn0031-9007
dc.identifier.issn1079-7114
dc.identifier.issue8en_US
dc.identifier.pmid38457710en_US
dc.identifier.urihttps://doi.org10.1103/PhysRevLett.132.081801
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5877
dc.identifier.volume132en_US
dc.identifier.wosWOS:001190886300010en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAmer Physical Socen_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subject[No Keywords]en_US
dc.titleSearch for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at p s=13 TeV ffi with the ATLAS Detectoren_US
dc.typeArticleen_US

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