Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC
In the present study we are using multi variate analysis techniques to discriminate signal from background in the fully hadronic decay channel of ttbar events. We give a brief introduction to the role of the Top quark in the standard model and a general description of the CMS Experiment at LHC. W...
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2008
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ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-8542014-03-24T16:27:13Z Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC Bacchi, William <1969> FIS/01 Fisica sperimentale In the present study we are using multi variate analysis techniques to discriminate signal from background in the fully hadronic decay channel of ttbar events. We give a brief introduction to the role of the Top quark in the standard model and a general description of the CMS Experiment at LHC. We have used the CMS experiment computing and software infrastructure to generate and prepare the data samples used in this analysis. We tested the performance of three different classifiers applied to our data samples and used the selection obtained with the Multi Layer Perceptron classifier to give an estimation of the statistical and systematical uncertainty on the cross section measurement. Alma Mater Studiorum - Università di Bologna Capiluppi, Paolo 2008-06-05 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/854/ info:eu-repo/semantics/openAccess |
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en |
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Doctoral Thesis |
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FIS/01 Fisica sperimentale |
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FIS/01 Fisica sperimentale Bacchi, William <1969> Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
description |
In the present study we are using multi variate analysis techniques to discriminate signal from background
in the fully hadronic decay channel of ttbar
events. We give a brief introduction to the role of the Top
quark in the standard model and a general description of the CMS Experiment at LHC. We have used the
CMS experiment computing and software infrastructure to generate and prepare the data samples used in
this analysis. We tested the performance of three different classifiers applied to our data samples and used
the selection obtained with the Multi Layer Perceptron classifier to give an estimation of the statistical and
systematical uncertainty on the cross section measurement. |
author2 |
Capiluppi, Paolo |
author_facet |
Capiluppi, Paolo Bacchi, William <1969> |
author |
Bacchi, William <1969> |
author_sort |
Bacchi, William <1969> |
title |
Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
title_short |
Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
title_full |
Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
title_fullStr |
Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
title_full_unstemmed |
Evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current CMS implemented environment at LHC |
title_sort |
evaluation of a multi variated analysis for the selection of t-tbar multijet events in the current cms implemented environment at lhc |
publisher |
Alma Mater Studiorum - Università di Bologna |
publishDate |
2008 |
url |
http://amsdottorato.unibo.it/854/ |
work_keys_str_mv |
AT bacchiwilliam1969 evaluationofamultivariatedanalysisfortheselectionofttbarmultijeteventsinthecurrentcmsimplementedenvironmentatlhc |
_version_ |
1716654172717187072 |