The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator

Detalles Bibliográficos
Autor principal: Rostad, B
Lenguaje:eng
Publicado: Oslo U. 1996
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/348497
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author Rostad, B
author_facet Rostad, B
author_sort Rostad, B
collection CERN
id cern-348497
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1996
publisher Oslo U.
record_format invenio
spelling cern-3484972019-09-30T06:29:59Zhttp://cds.cern.ch/record/348497engRostad, BThe netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron acceleratorParticle Physics - ExperimentOslo U.DELPHI-THESIS-136CERN-DELPHI-THESIS-136oai:cds.cern.ch:3484971996
spellingShingle Particle Physics - Experiment
Rostad, B
The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title_full The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title_fullStr The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title_full_unstemmed The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title_short The netcharge method: Applying artificial neural networks to classify the b-quark production flavor in the DELPHI experiment at CERN's Large Electron Positron accelerator
title_sort netcharge method: applying artificial neural networks to classify the b-quark production flavor in the delphi experiment at cern's large electron positron accelerator
topic Particle Physics - Experiment
url http://cds.cern.ch/record/348497
work_keys_str_mv AT rostadb thenetchargemethodapplyingartificialneuralnetworkstoclassifythebquarkproductionflavorinthedelphiexperimentatcernslargeelectronpositronaccelerator
AT rostadb netchargemethodapplyingartificialneuralnetworkstoclassifythebquarkproductionflavorinthedelphiexperimentatcernslargeelectronpositronaccelerator

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