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Muon Identification using Neural Networks With the Muon Telescope Detector at STAR

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dc.contributor.authorBrandenburg, J. D.
dc.contributor.authorAdam, J.
dc.contributor.authorAdamczyk, L.
dc.contributor.authorAdams, J. R.
dc.contributor.authorAlekseev, I.
dc.contributor.authorBrandin, A. V.
dc.contributor.authorKochenda, L.
dc.contributor.authorKravtsov, P.
dc.contributor.authorNigmatkulov, G.
dc.contributor.authorOkorokov, V. A.
dc.contributor.authorStrikhanov, M.
dc.contributor.authorTaranenko, A.
dc.contributor.authorАлексеев, Игорь Геннадьевич
dc.contributor.authorБрандин, Андрей Владимирович
dc.contributor.authorНигматкулов, Григорий Александрович
dc.contributor.authorОкороков, Виталий Алексеевич
dc.contributor.authorСтриханов, Михаил Николаевич
dc.contributor.authorТараненко, Аркадий Владимирович
dc.date.accessioned2024-11-21T15:51:25Z
dc.date.available2024-11-21T15:51:25Z
dc.date.issued2019
dc.description.abstractThe installation of the Muon Telescope Detector (MTD) at STAR allows a measurement of the dimuon (mu(+)mu(-)) production in heavy-ion collisions over a large invariant mass range for the first time. Data has been collected with the MTD from Au+Au collisions at root S-NN = 200 GeV and from p+p collisions at root S = 200 GeV. These two datasets allow for new opportunities to measure the dimuon invariant mass spectra at STAR. Before any dimuon measurements can be made, muons must be identified. This contribution presents muon identification employing deep neural networks (DNN) and compares it with other multi-variate techniques. Applications of the DNN technique for data-driven purity measurements are discussed.
dc.format.extentС. 192-194
dc.identifier.citationMuon Identification using Neural Networks With the Muon Telescope Detector at STAR / Brandenburg, JD [et al.] // NUCLEAR PHYSICS A. - 2019. - 982. - P. 192-194. - 10.1016/j.nuclphysa.2018.10.036
dc.identifier.doi10.1016/j.nuclphysa.2018.10.036
dc.identifier.urihttps://www.doi.org/10.1016/j.nuclphysa.2018.10.036
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000457515500032
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/19104
dc.relation.ispartofNUCLEAR PHYSICS A
dc.titleMuon Identification using Neural Networks With the Muon Telescope Detector at STAR
dc.typeArticle; Proceedings Paper
dspace.entity.typePublication
oaire.citation.volume982
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