Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/10832
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Aad, G. | - |
dc.contributor.author | Abbott, B. | - |
dc.contributor.author | Abbott, D. C. | - |
dc.contributor.author | Abud, A. Abed | - |
dc.contributor.author | Abeling, K. | - |
dc.contributor.author | Abhayasinghe, D. K. | - |
dc.contributor.author | Abidi, S. H. | - |
dc.date.accessioned | 2023-12-23T06:06:24Z | - |
dc.date.available | 2023-12-23T06:06:24Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 1434-6044 | - |
dc.identifier.issn | 1434-6052 | - |
dc.identifier.uri | https://doi.org/10.1140/epjc/s10052-023-11837-9 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/10832 | - |
dc.description.abstract | A determination of the jet energy scale is presented using proton-proton collision data with a centre-of-mass energy of root s = 13 TeV, corresponding to an integrated luminosity of 140 fb(-1) collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti-kt jet algorithm with radius parameter R = 0.4 is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including state-of-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 fb(-1) of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The b-quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using gamma+jet events. | en_US |
dc.description.sponsorship | CERN; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; DOE; NSF, United States of America; BCKDF; CANARIE; CRC, Canada [PRIMUS 21/SCI/017, UNCE SCI/013]; Czech Republic; ERC; ERDF; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran 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.sponsorship | We 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 MIZS, 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, 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; COST, ERC, ERDF, Horizon 2020 and Marie Skodowska-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; 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 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. [69]. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | European Physical Journal C | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | New Techniques for Jet Calibration With the Atlas Detector | en_US |
dc.type | Article | en_US |
dc.department | TOBB ETÜ | en_US |
dc.identifier.volume | 83 | en_US |
dc.identifier.issue | 8 | en_US |
dc.authorid | Geanta, Andrei Alexandru/0000-0003-2781-2933 | - |
dc.authorid | Turtuvshin, Tulgaa/0000-0001-9471-8627 | - |
dc.authorid | Roy, Ashim/0000-0002-5622-4260 | - |
dc.authorid | Song, Weimin/0000-0003-1376-2293 | - |
dc.authorid | Serkin, Leonid/0000-0003-4749-5250 | - |
dc.authorid | chevalier, laurent/0000-0003-3762-7264 | - |
dc.authorid | Abusleme, Angel/0000-0003-0762-7204 | - |
dc.identifier.wos | WOS:001062421500007 | en_US |
dc.identifier.scopus | 2-s2.0-85179172081 | en_US |
dc.institutionauthor | Sultansoy, Saleh | - |
dc.identifier.doi | 10.1140/epjc/s10052-023-11837-9 | - |
dc.authorwosid | Geanta, Andrei Alexandru/IAO-0890-2023 | - |
dc.authorwosid | CHEN, WENJIE/JQW-1608-2023 | - |
dc.authorwosid | Roy, Ashim/HLV-9248-2023 | - |
dc.authorwosid | Turtuvshin, Tulgaa/HTP-4981-2023 | - |
dc.authorwosid | Ma, Xiaodong/JAN-7473-2023 | - |
dc.authorwosid | Tapia, Sebastian/ABB-6644-2021 | - |
dc.authorwosid | Song, Weimin/AAJ-5415-2020 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
WEB OF SCIENCETM
Citations
1
checked on Aug 31, 2024
Page view(s)
42
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.