New Developments for Jet Substructure Reconstruction in CMS

We present Monte Carlo based studies showcasing several developments for jet substructure reconstruction in CMS. This include Quark/Gluon tagging algorithms using Boosted Decision Trees and Deep Neural Networks, the XCone jet clustering algorithm and the Boosted Event Shape Tagger (BEST).

Detalles Bibliográficos
Autor principal: CMS Collaboration
Lenguaje:eng
Publicado: 2017
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2275226
Descripción
Sumario:We present Monte Carlo based studies showcasing several developments for jet substructure reconstruction in CMS. This include Quark/Gluon tagging algorithms using Boosted Decision Trees and Deep Neural Networks, the XCone jet clustering algorithm and the Boosted Event Shape Tagger (BEST).

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