Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using ?s=13 TeV pp collisions with the ATLAS detector
dc.authorid | Zhou, Ning/0000-0002-1775-2511 | |
dc.authorid | Wei, Wei/0000-0002-4109-3878 | |
dc.authorid | Bona, Marcella/0000-0002-9660-580X | |
dc.authorid | Di Nardo, Roberto/0000-0003-1111-3783 | |
dc.authorid | Wang, Huifang E/0000-0002-4060-8649 | |
dc.authorid | Sykora, Marek/0000-0003-3508-2176 | |
dc.authorid | Balaji, S/0000-0002-7324-4853 | |
dc.authorwosid | Zhou, Ning/D-1123-2017 | |
dc.authorwosid | Wei, Wei/JVM-8876-2024 | |
dc.authorwosid | Bona, Marcella/JPX-4062-2023 | |
dc.authorwosid | yang, xiao/KHT-9445-2024 | |
dc.authorwosid | Chen, Bowen/KFB-3986-2024 | |
dc.authorwosid | Yang, Ning/KHD-1133-2024 | |
dc.authorwosid | Di Nardo, Roberto/J-4993-2012 | |
dc.contributor.author | Aad, G. | |
dc.contributor.author | Abbott, B. | |
dc.contributor.author | Abbott, D. C. | |
dc.contributor.author | Abeling, K. | |
dc.contributor.author | Abidi, S. H. | |
dc.contributor.author | Aboulhorma, A. | |
dc.contributor.author | Çetin, Serkant Ali | |
dc.date.accessioned | 2024-05-19T14:50:51Z | |
dc.date.available | 2024-05-19T14:50:51Z | |
dc.date.issued | 2023 | |
dc.department | İstinye Üniversitesi | en_US |
dc.description.abstract | A search is presented for a heavy resonance Y decaying into a Standard Model Higgs boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider run 2 dataset of proton-proton collisions at root s =13 TeV collected by the ATLAS detector from 2015 to 2018 is used and corresponds to an integrated luminosity of 139 fb(-1). The search targets the high Y-mass region, where the H and X have a significant Lorentz boost in the laboratory frame. A novel application of anomaly detection is used to define a general signal region, where events are selected solely because of their incompatibility with a learned background-only model. It is constructed using a jet-level tagger for signal-model-independent selection of the boosted X particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark X decay into two quarks, covering topologies where the X is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into bb, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section sigma(pp -> Y -> XH -> qqbb) for signals with m(Y) between 1.5 and 6 TeV and m(X) between 65 and 3000 GeV. | en_US |
dc.description.sponsorship | NSF, United States of America; BCKDF; CANARIE; CRC, Canada [PRIMUS 21/SCI/017, UNCE SCI/013]; Czech Republic; European Cooperation in Science and Technology (COST); ERC; ERDF; European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany; EU-ESF; Binational Science Foundation-National Science Foundation (BSF-NSF); MINERVA, Israel; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Gran Gustafssons Stiftelse, Sweden; Royal Society; Leverhulme Trust, United Kingdom; Nordic Grid Facility (NDGF) (Denmark, Norway, Sweden); KIT/GridKA (Germany); ASGC (Taiwan); BNL (USA) | en_US |
dc.description.sponsorship | This research was supported by the National Natural Science Foundation of China(U21A20132).r Yerevan Physics Institute (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 Danish Natural Science Council (DNSRC) , Denmark; IN2P3-CNRS and CEA-Fundamental Research Division/IRFU = Institute of Research into the Fundamental Laws of the Universe, France; Shota Rustaveli National Science Foundation of Georgia (SRNSFG) , Georgia; BMBF, HGF and MPG, Germany; General Secretariat for Research and Innovation (GSRI) , Greece; Research Grants Council (RGC) and Hong Kong Special Administrative Region (SAR) , China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; Research Council of Norway (RCN) , Norway; MEiN, Poland; FCT, Portugal; Ministry of National Education (MNE) /IFA, Romania; Ministry of Education, Science and Technological Development (MESTD) , Serbia; Ministry of Education, Science, Research and Sport (MSSR) , Slovakia; ARRS and Ministry of Education, Science and Sport (MIZ & Scaron;) , Slovenia; DSI/NRF, South Africa; MICINN, Spain; Swedish Research Council (SRC) and Wallenberg Foundation, Sweden; State Secretariat for Education, Research and Innovation (SERI) , SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE andr NSF, United States of America. 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; European Cooperation in Science and Technology (COST) , ERC, ERDF, Horizon 2020 and Marie Sk & lstrok;odowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programs cofinanced by EU-ESF and the Greek National Strategic Reference Framework (NSRF) , Greece; Binational Science Foundation-National Science Foundation (BSF-NSF) and MINERVA, Israel; Norwegian 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 computing support from all WLCG partners is acknowledged grate-fully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada) , Nordic Grid Facility (NDGF) (Denmark, Norway, Sweden) , CC-IN2P3 (France) , KIT/GridKA (Germany) , INFN-National Center for Frame Analysis (CNAF) (Italy) , NL-T1 (Netherlands) , PIC (Spain) , ASGC (Taiwan) , Rutherford Appleton Laboratory (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. [73] . | en_US |
dc.identifier.doi | 10.1103/PhysRevD.108.052009 | |
dc.identifier.issn | 2470-0010 | |
dc.identifier.issn | 2470-0029 | |
dc.identifier.issue | 5 | en_US |
dc.identifier.scopus | 2-s2.0-85175428199 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org10.1103/PhysRevD.108.052009 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/5822 | |
dc.identifier.volume | 108 | en_US |
dc.identifier.wos | WOS:001088448300001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Amer Physical Soc | en_US |
dc.relation.ispartof | Physical Review D | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.snmz | 20240519_ka | en_US |
dc.subject | Bootstrap | en_US |
dc.title | Anomaly detection search for new resonances decaying into a Higgs boson and a generic new particle X in hadronic final states using ?s=13 TeV pp collisions with the ATLAS detector | en_US |
dc.type | Article | en_US |