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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Bibliographic Details
Main Author: Bacchi, William <1969>
Other Authors: Capiluppi, Paolo
Format: Doctoral Thesis
Language:en
Published: Alma Mater Studiorum - Università di Bologna 2008
Subjects:
Online Access:http://amsdottorato.unibo.it/854/
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spelling 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
collection NDLTD
language en
format Doctoral Thesis
sources NDLTD
topic FIS/01 Fisica sperimentale
spellingShingle 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
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