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ME technique plus experience ttH

<!--HTML-->The Matrix Element Method (MEM) is a HEP-specific technique to directly calculate the likelihood for a collision event based on the “matrix elements” of quantum field theory and a simplified detector description. The goal of this talk is to be a description of the matrix element met...

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Autor principal: BIANCHINI, Lorenzo
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2067046
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author BIANCHINI, Lorenzo
author_facet BIANCHINI, Lorenzo
author_sort BIANCHINI, Lorenzo
collection CERN
description <!--HTML-->The Matrix Element Method (MEM) is a HEP-specific technique to directly calculate the likelihood for a collision event based on the “matrix elements” of quantum field theory and a simplified detector description. The goal of this talk is to be a description of the matrix element method, current implementations, and comparisons with other multivariate approaches.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20670462022-11-02T22:33:49Zhttp://cds.cern.ch/record/2067046engBIANCHINI, LorenzoME technique plus experience ttHData Science @ LHC 2015 WorkshopLPCC Workshops<!--HTML-->The Matrix Element Method (MEM) is a HEP-specific technique to directly calculate the likelihood for a collision event based on the “matrix elements” of quantum field theory and a simplified detector description. The goal of this talk is to be a description of the matrix element method, current implementations, and comparisons with other multivariate approaches.oai:cds.cern.ch:20670462015
spellingShingle LPCC Workshops
BIANCHINI, Lorenzo
ME technique plus experience ttH
title ME technique plus experience ttH
title_full ME technique plus experience ttH
title_fullStr ME technique plus experience ttH
title_full_unstemmed ME technique plus experience ttH
title_short ME technique plus experience ttH
title_sort me technique plus experience tth
topic LPCC Workshops
url http://cds.cern.ch/record/2067046
work_keys_str_mv AT bianchinilorenzo metechniqueplusexperiencetth
AT bianchinilorenzo datasciencelhc2015workshop