dc.creatorAlconada Verzini, María Josefina
dc.creatorAlonso, Francisco
dc.creatorArduh, Francisco Anuar
dc.creatorDova, María Teresa
dc.creatorMonticelli, Fernando Gabriel
dc.creatorWahlberg, Hernán Pablo
dc.creatorThe ATLAS Collaboration
dc.date2017-07-24
dc.date2019-08-20T12:36:47Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/79338
dc.identifierissn:1434-6052
dc.descriptionThe reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a wellperforming calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.
dc.descriptionFacultad de Ciencias Exactas
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0/
dc.rightsCreative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.subjectCiencias Exactas
dc.subjectFísica
dc.subjecthadrons
dc.subjectjets
dc.subjectproton-proton collisions
dc.subjectATLAS experiment
dc.titleTopological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
dc.typeArticulo
dc.typeArticulo


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