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An Overview of the $b$-Tagging Algorithms in the CMS Offline Software
The CMS Offline software contains a widespread set of algorithms to identify jets originating from the weak decay of $b$~quarks. Different physical properties of B~hadron decays like lifetime information, secondary vertices and soft leptons are exploited. The variety of selection algorithms range fr...
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Lenguaje: | eng |
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2009
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Acceso en línea: | http://cds.cern.ch/record/1196129 |
_version_ | 1780917062026133504 |
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author | Saout, Christophe |
author_facet | Saout, Christophe |
author_sort | Saout, Christophe |
collection | CERN |
description | The CMS Offline software contains a widespread set of algorithms to identify jets originating from the weak decay of $b$~quarks. Different physical properties of B~hadron decays like lifetime information, secondary vertices and soft leptons are exploited. The variety of selection algorithms range from simple and robust ones, suitable for early data-taking and online environments as the trigger system, to highly discriminating ones, exploiting all the information available. For the latter, a generic discriminator computing framework has been developed that allows to exploit the full power of multi-variate analysis techniques in a flexible way. |
id | cern-1196129 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
record_format | invenio |
spelling | cern-11961292019-09-30T06:29:59Zhttp://cds.cern.ch/record/1196129engSaout, ChristopheAn Overview of the $b$-Tagging Algorithms in the CMS Offline SoftwareDetectors and Experimental TechniquesThe CMS Offline software contains a widespread set of algorithms to identify jets originating from the weak decay of $b$~quarks. Different physical properties of B~hadron decays like lifetime information, secondary vertices and soft leptons are exploited. The variety of selection algorithms range from simple and robust ones, suitable for early data-taking and online environments as the trigger system, to highly discriminating ones, exploiting all the information available. For the latter, a generic discriminator computing framework has been developed that allows to exploit the full power of multi-variate analysis techniques in a flexible way.CMS-CR-2009-040oai:cds.cern.ch:11961292009-03-19 |
spellingShingle | Detectors and Experimental Techniques Saout, Christophe An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title | An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title_full | An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title_fullStr | An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title_full_unstemmed | An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title_short | An Overview of the $b$-Tagging Algorithms in the CMS Offline Software |
title_sort | overview of the $b$-tagging algorithms in the cms offline software |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/1196129 |
work_keys_str_mv | AT saoutchristophe anoverviewofthebtaggingalgorithmsinthecmsofflinesoftware AT saoutchristophe overviewofthebtaggingalgorithmsinthecmsofflinesoftware |