Testing TMVA software in b-tagging for the search of MSSM Higgs bosons at the LHC

Testing TMVA software in b-tagging for the search of MSSM Higgs bosons at the LHC

We test the usage of a Toolkit for Multivariate Data Analysis (TMVA) in b tagging. Tagging b jets associated with heavy neutral MSSM Higgs bosons at the LHC can be used to extract the Higgs bosons from the Drell-Yan background, for which the associated jets are mainly light quark and gluon jets. Ach...

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Veröffentlicht in:Journal of physics. Conference series 2008-07, Vol.119 (3), p.032028
Hauptverfasser: Lampén, T, Garcia, F, Heikkinen, A, Kaitaniemi, P, Karimäki, V, Kortelainen, M J, Lehti, S, Lindén, T, Wendl, L
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Bosons
Classifiers
Data analysis
Gluons
Higgs bosons
Jets
Large Hadron Collider
Marking
Multivariate analysis
Physics
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Beschreibung
Zusammenfassung:We test the usage of a Toolkit for Multivariate Data Analysis (TMVA) in b tagging. Tagging b jets associated with heavy neutral MSSM Higgs bosons at the LHC can be used to extract the Higgs bosons from the Drell-Yan background, for which the associated jets are mainly light quark and gluon jets. Achievable b tagging efficiency is studied with more than ten MVA classifiers at 1% mistagging rate. Most classifiers were found to perform better than the simple track counting algorithm.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/119/3/032028