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A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13TeV
type: Article
origen: scopus
type: Generically Dependent Continuant
type: Thing
artnum: P03014
issue: 3
has funding vehicle: funding3884
type: Continuant
most specific type: Article
date time value: article date 9954
crisid: 9954
accesstype: All Open Access, Hybrid Gold, Green
type: Information Content Entity
related by: authorship_69014
most specific type: Document
type: Entity
type: Document
estado: published
e iscopus: 2-s2.0-85127541495
has publication venue: Journal of Instrumentation
freetext keyword: Large detector-systems performance; Pattern recognition, cluster finding, calibration and fitting methods Calibration; Iterative methods; Machine learning; Calibration method; Charm+; Detector systems; Fitting method; Heavy flavours; Large detector-system performance; Large detectors; Pattern recognition, cluster finding, calibration and fitting method; Proton proton collisions; Systems performance; Pattern recognition
volume: 17
abstract: Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb−1 at √s = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machine-learning models. Thus, they are expected to increase the sensitivity of future physics analyses. © 2022 CERN for the benefit of the CMS collaboration
doi: 10.1088/1748-0221/17/03/P03014
related by: authorship_71439

RDF description of A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13TeV - http://orbis.uaslp.mx/vivo/individual/scopus9953
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date: 2026-08-26T03:35:42
publisher: vivo
type: Document

Article
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funding3884
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label: Excellence of Science 30820817; National Science Foundation, NSF; U.S. Department of Energy, USDOE; Alfred P. Sloan Foundation, APSF; Welch Foundation: C-1845; Kavli Foundation; Alexander von Humboldt-Stiftung, AvH; Nvidia; National Research Centre, NRC; Qatar National Research Fund, QNRF: FSWW-2020-0008; Ministry of Education and Science; Direktion für Entwicklung und Zusammenarbeit, DEZA; Secretaría de Educación Pública, SEP; Türkiye Atom Enerjisi Kurumu, TAEK; Weston Havens Foundation; Thailand Center of Excellence in Physics; Institute for the Promotion of Teaching Science and Technology, IPST; Kanton Zürich; Science and Technology Facilities Council, STFC; European Research Council, ERC; European Cooperation in Science and Technology, COST: CA16108; Department of Science and Technology, Ministry of Science and Technology, India, डीएसटी; Council of Scientific and Industrial Research, India, CSIR; Department of Atomic Energy, Government of India, DAE; Science Foundation Ireland, SFI; Helmholtz-Gemeinschaft, HGF; Deutsche Forschungsgemeinschaft, DFG: 390833306, 400140256 - GRK2497; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT: CEECIND/01334/2018, CERN/FIS-INS/0032/2019, CERN/FIS-PAR/0025/2019; Russian Foundation for Basic Research, РФФИ; Eesti Teadusagentuur, ETAg: PRG445, PRG780, PRG803; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES; Academy of Finland, AKA; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Fonds De La Recherche Scientifique - FNRS, FNRS; Russian Academy of Sciences, РАН; Ministry of Education, MOE; Belgian Federal Science Policy Office, BELSPO; Chulalongkorn University, CU; Eidgenössische Technische Hochschule Zürich, E…
funding vehicle for: A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13TeV

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Journal of Instrumentation
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publication venue for: A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13TeV
type: Thing