Combining b-tagging methods using a neural network approach

The most powerful method of b-jet tagging in ATLAS experiment is based on the relatively long lifetime of B-hadrons and therefore a separation of the B-hadron decay vertex from the pp interaction point . The efficiency of the method is improved while combined with another tagging algorithm using low...

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Detalles Bibliográficos
Autores principales: Wolter, M, Kaczmarska, A
Lenguaje:eng
Publicado: 2000
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/684136
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author Wolter, M
Kaczmarska, A
author_facet Wolter, M
Kaczmarska, A
author_sort Wolter, M
collection CERN
description The most powerful method of b-jet tagging in ATLAS experiment is based on the relatively long lifetime of B-hadrons and therefore a separation of the B-hadron decay vertex from the pp interaction point . The efficiency of the method is improved while combined with another tagging algorithm using low-p_T electrons from semileptonic b-quark decays. For the first time the neural network approach is used to combine both tagging algorithms. Rejection of background u-jets is improved by 16% and c-jets by 10% comparing to the pure vertex method.
id cern-684136
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2000
record_format invenio
spelling cern-6841362019-09-30T06:29:59Zhttp://cds.cern.ch/record/684136engWolter, MKaczmarska, ACombining b-tagging methods using a neural network approachDetectors and Experimental TechniquesThe most powerful method of b-jet tagging in ATLAS experiment is based on the relatively long lifetime of B-hadrons and therefore a separation of the B-hadron decay vertex from the pp interaction point . The efficiency of the method is improved while combined with another tagging algorithm using low-p_T electrons from semileptonic b-quark decays. For the first time the neural network approach is used to combine both tagging algorithms. Rejection of background u-jets is improved by 16% and c-jets by 10% comparing to the pure vertex method.ATL-INDET-2000-023oai:cds.cern.ch:6841362000-11-07
spellingShingle Detectors and Experimental Techniques
Wolter, M
Kaczmarska, A
Combining b-tagging methods using a neural network approach
title Combining b-tagging methods using a neural network approach
title_full Combining b-tagging methods using a neural network approach
title_fullStr Combining b-tagging methods using a neural network approach
title_full_unstemmed Combining b-tagging methods using a neural network approach
title_short Combining b-tagging methods using a neural network approach
title_sort combining b-tagging methods using a neural network approach
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/684136
work_keys_str_mv AT wolterm combiningbtaggingmethodsusinganeuralnetworkapproach
AT kaczmarskaa combiningbtaggingmethodsusinganeuralnetworkapproach

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