Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3691
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dc.contributor.authorBilki, B.-
dc.contributor.authorGüler, Y.-
dc.contributor.authorÖnel, Y.-
dc.contributor.authorRepond, J.-
dc.contributor.authorXia, L.-
dc.date.accessioned2023-03-03T13:33:35Z-
dc.date.available2023-03-03T13:33:35Z-
dc.date.issued2022-
dc.identifier.issn1742-6588-
dc.identifier.urihttps://doi.org/10.1088/1742-6596/2374/1/012022-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/3691-
dc.description2021 International Conference on Technology and Instrumentation in Particle Physics, TIPP 2021 -- 23 May 2021 through 28 May 2021 -- 184972en_US
dc.description.abstractParticle Flow Algorithms (PFAs) attempt to measure each particle in a hadronic jet individually, using the detector subsystem that provides the best energy/momentum resolution. Calorimeters that can exploit the power of PFAs emphasize spatial granularity over single particle energy resolution. In this context, the CALICE Collaboration developed the Digital Hadron Calorimeter (DHCAL). The DHCAL uses Resistive Plate Chambers (RPCs) as active media and is read out with 1 × 1 cm2 pads and digital (1-bit) resolution. In order to obtain a unique dataset of electromagnetic and hadronic interactions with unprecedented spatial resolution, the DHCAL went through a broad test beam program. In addition to conventional calorimetry, the DHCAL offers detailed measurements of event shapes, rigorous tests of simulation models and various analytical tools to improve calorimetric performance. Here we report on the results from the analysis of DHCAL data and comparisons with the Monte Carlo simulations. © Published under licence by IOP Publishing Ltd.en_US
dc.language.isoenen_US
dc.publisherInstitute of Physicsen_US
dc.relation.ispartofJournal of Physics: Conference Seriesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCalorimetersen_US
dc.subjectCharged particlesen_US
dc.subjectIntelligent systemsen_US
dc.subjectMonte Carlo methodsen_US
dc.subjectParticle spectrometersen_US
dc.subjectSoftware testingen_US
dc.subjectStatistical testsen_US
dc.subjectDigital hadron calorimetersen_US
dc.subjectEnergy momentumen_US
dc.subjectEnergy resolutionsen_US
dc.subjectHadronic jetsen_US
dc.subjectMomentum resolutionsen_US
dc.subjectParticle flow algorithmsen_US
dc.subjectPoweren_US
dc.subjectSingle-particle energyen_US
dc.subjectSpatial granularityen_US
dc.subjectSpatial segmentationen_US
dc.subjectCalorimetryen_US
dc.titleCalorimetry with Extremely Fine Spatial Segmentationen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1088/1742-6596/2374/1/012022-
dc.identifier.scopus2-s2.0-85144052322en_US
dc.departmentKTUNen_US
dc.identifier.volume2374en_US
dc.identifier.issue1en_US
dc.institutionauthor-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid26655198400-
dc.authorscopusid6701680863-
dc.authorscopusid7004261199-
dc.authorscopusid8068241300-
dc.authorscopusid57912112500-
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item.grantfulltextopen-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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