Multivariate Techniques for Energy Reconstruction in Highly Granular Calorimeters

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dc.contributor.authorBilki, Burak
dc.date.accessioned2024-03-13T10:30:31Z
dc.date.available2024-03-13T10:30:31Z
dc.date.issued2016
dc.departmentİstanbul Beykent Üniversitesien_US
dc.descriptionIEEE Nuclear Science Symposium / Medical Imaging Conference / Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD) -- OCT 29-NOV 06, 2016 -- Strasbourg, FRANCEen_US
dc.description.abstractThe overall trend in calorimetry is towards high granularity, both laterally and longitudinally. This trend is a requirement for the full exploitation of the Particle Flow Algorithms, which reconstruct individual particles using the sub detector that provides the best resolution for this specific particle. The increased level of detail in the event topologies due to higher segmentation of the calorimeter provides additional handles for energy reconstruction. Here, the power of using multivariate statistical techniques using various topological variables in the reconstruction of the energy of single particles in highly granular calorimeters is demonstrated.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.isbn978-1-5090-1642-6
dc.identifier.issn1095-7863
dc.identifier.scopus2-s2.0-85041710321en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3403
dc.identifier.wosWOS:000432419500474en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 Ieee Nuclear Science Symposium, Medical Imaging Conference And Room-Temperature Semiconductor Detector Workshop (Nss/Mic/Rtsd)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleMultivariate Techniques for Energy Reconstruction in Highly Granular Calorimetersen_US
dc.typeConference Objecten_US

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