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dc.contributor.authorAdam, Jaroslav
dc.contributor.authorAdamová, Dagmar
dc.contributor.authorAggarwal, Madan M.
dc.contributor.authorAglieri Rinella, Gianluca
dc.contributor.authorAgnello, Michelangelo
dc.contributor.authorAgrawal, Nikita
dc.contributor.authorAhammed, Zubayer
dc.contributor.authorAhmad, Shafiq F.
dc.contributor.authorAhn, Sang Un
dc.contributor.authorAiola, Salvatore
dc.contributor.authorAlme, Johan
dc.contributor.authorHelstrup, Håvard
dc.contributor.authorHetland, Kristin Fanebust
dc.contributor.authorKileng, Bjarte
dc.contributor.authorAltinpinar, Sedat
dc.contributor.authorDjuvsland, Øystein
dc.contributor.authorHaaland, Øystein Senneset
dc.contributor.authorLønne, Per-Ivar
dc.contributor.authorNystrand, Joakim
dc.contributor.authorRehman, Attiq ur
dc.contributor.authorRøhrich, Dieter
dc.contributor.authorTambave, Ganesh Jagannath
dc.contributor.authorUllaland, Kjetil
dc.contributor.authorVelure, Arild
dc.contributor.authorWagner, Boris
dc.contributor.authorZhang, Hui
dc.contributor.authorZhou, Zhuo
dc.contributor.authorZhu, Hongsheng
dc.contributor.authorArsene, Ionut Christian
dc.contributor.authorBätzing, Paul Christoph
dc.contributor.authorDordic, Olja
dc.contributor.authorLindal, Svein
dc.contributor.authorMahmood, Sohail Musa
dc.contributor.authorMilosevic, Jovan
dc.contributor.authorQvigstad, Henrik
dc.contributor.authorRichter, Matthias
dc.contributor.authorRøed, Ketil
dc.contributor.authorSkaali, Toralf Bernhard
dc.contributor.authorTveter, Trine Spedstad
dc.contributor.authorWikne, Jon Christopher
dc.contributor.authorZhao, Chengxin
dc.contributor.authorLangøy, Rune
dc.contributor.authorLien, Jørgen André
dc.contributor.authorAkindinov, Alexander
dc.contributor.authorAlam, Sk Noor
dc.contributor.authorDe Albuquerque, Danilo Silva
dc.contributor.authorAleksandrov, Dimitry
dc.contributor.authorAlessandro, Bruno
dc.contributor.authorAlexandre, Didier
dc.contributor.authorAlfaro Molina, José Rubén
dc.contributor.authorALICE, Collaboration
dc.date.accessioned2019-04-15T13:15:59Z
dc.date.available2019-04-15T13:15:59Z
dc.date.issued2016-05-25
dc.identifier.citationAdam J, Adamová D, Aggarwal MM, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, et al., ALICE C. Particle identification in ALICE: a Bayesian approach. The European Physical Journal Plus. 2016;131:168eng
dc.identifier.urihttp://hdl.handle.net/1956/19338
dc.description.abstractWe present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss (dE/dx) and time of flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels K^0_S→π^−π^+ , ϕ→K^−K^+ , and Λ→pπ^− in p-Pb collisions at √sNN=5.02 TeV. In order to thoroughly assess the validity of the Bayesian approach, this methodology was used to obtain corrected p_T spectra of pions, kaons, protons, and D^0 mesons in pp collisions at √s=7 TeV. In all cases, the results using Bayesian PID were found to be consistent with previous measurements performed by ALICE using a standard PID approach. For the measurement of D^0→K^−π^+ , it was found that a Bayesian PID approach gave a higher signal-to-background ratio and a similar or larger statistical significance when compared with standard PID selections, despite a reduced identification efficiency. Finally, we present an exploratory study of the measurement of Λ^+_c→pK^−π^+ in pp collisions at √s=7 TeV, using the Bayesian approach for the identification of its decay products.eng
dc.language.isoengeng
dc.publisherSpringer Berlin Heidelbergeng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleParticle identification in ALICE: a Bayesian approacheng
dc.typeJournal articleeng
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431
dc.date.updated2018-07-30T09:24:35Z
dc.rights.holderCopyright 2016 CERN for the benefit of the ALICE Collaborationeng
dc.type.versionpublishedVersioneng
bora.peerreviewedPeer reviewedeng
dc.type.documentJournal article
dc.identifier.cristinID1368864
dc.identifier.doi10.1140/epjp/i2016-16168-5eng
dc.source.issn2190-5444eng
dc.relation.projectIDNorges forskningsråd: 255188
dc.relation.journalThe European Physical Journal Plus


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