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.
| Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:854 |
| Date | 05 June 2008 |
| Creators | Bacchi, William <1969> |
| Contributors | Capiluppi, Paolo |
| Publisher | Alma Mater Studiorum - Università di Bologna |
| Source Sets | Università di Bologna |
| Language | English |
| Detected Language | English |
| Type | Doctoral Thesis, PeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0026 seconds