Performance of boosted decision trees for combining ATLAS b-tagging methods

This note evaluates the performance of boosted decision trees for combining the information from different ATLAS b-tagging algorithms into a single jet classifier. The rejection of light quarks given by boosted decision trees is estimated using a Monte Carlo simulation of $WH$ and $t\bar{t}$ events....

Descripción completa

Detalles Bibliográficos
Autor principal: Bastos, J
Lenguaje:eng
Publicado: 2007
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/1020546
_version_ 1780912113960615936
author Bastos, J
author_facet Bastos, J
author_sort Bastos, J
collection CERN
description This note evaluates the performance of boosted decision trees for combining the information from different ATLAS b-tagging algorithms into a single jet classifier. The rejection of light quarks given by boosted decision trees is estimated using a Monte Carlo simulation of $WH$ and $t\bar{t}$ events. It is shown that this approach yields significant gains in the rejection of light quarks with respect to a tagging algorithm based in 3D impact parameters and reconstructed secondary vertices.
id cern-1020546
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2007
record_format invenio
spelling cern-10205462021-04-18T19:40:00Zhttp://cds.cern.ch/record/1020546engBastos, JPerformance of boosted decision trees for combining ATLAS b-tagging methodsDetectors and Experimental TechniquesThis note evaluates the performance of boosted decision trees for combining the information from different ATLAS b-tagging algorithms into a single jet classifier. The rejection of light quarks given by boosted decision trees is estimated using a Monte Carlo simulation of $WH$ and $t\bar{t}$ events. It is shown that this approach yields significant gains in the rejection of light quarks with respect to a tagging algorithm based in 3D impact parameters and reconstructed secondary vertices.ATL-PHYS-PUB-2007-019ATL-COM-PHYS-2007-016oai:cds.cern.ch:10205462007-03-14
spellingShingle Detectors and Experimental Techniques
Bastos, J
Performance of boosted decision trees for combining ATLAS b-tagging methods
title Performance of boosted decision trees for combining ATLAS b-tagging methods
title_full Performance of boosted decision trees for combining ATLAS b-tagging methods
title_fullStr Performance of boosted decision trees for combining ATLAS b-tagging methods
title_full_unstemmed Performance of boosted decision trees for combining ATLAS b-tagging methods
title_short Performance of boosted decision trees for combining ATLAS b-tagging methods
title_sort performance of boosted decision trees for combining atlas b-tagging methods
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1020546
work_keys_str_mv AT bastosj performanceofboosteddecisiontreesforcombiningatlasbtaggingmethods

Ejemplares similares