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Tesi etd-08012012-101339


Thesis type
Tesi di laurea specialistica
Author
RONZANI, MANFREDI
email address
manfredi.ronzani@pi.infn.it
URN
etd-08012012-101339
Title
Improving the Acceptance in the Single Top Quark analysis using 7.5 fb-1 of CDF data
Struttura
SCIENZE MATEMATICHE, FISICHE E NATURALI
Corso di studi
SCIENZE FISICHE
Commissione
relatore Prof. Chiarelli, Giorgio
Parole chiave
  • single top cdf wham neural network acceptance
Data inizio appello
01/10/2012;
Consultabilità
completa
Riassunto analitico
We present the Single Top in W+jets analysis at CDF II using 7.5 fb−1 of p¯p data. We select events in the W + jets topology consistent with the signature of a charged lepton (electron or muon), large missing transverse energy (MET) from the W boson decay and two or three jets, at least one of them is required to be identified as originating from a b quark. We use the new POWHEG Monte Carlo generator for single top signal samples in s-channel, t-channel and Wt-channel, which are generated at NLO accuracy, with an assumed top quark mass of 172.5 GeV/c^2. The Neural Network multivariate method is used to discriminate signal against comparatively large backgrounds.
The thesis work was mostly focused on event selection and background estimation part of the analysis: we improved the signal acceptance by about 20%, by including more lepton categories and also reduced some backgrounds with dedicated selection.
At the end we present the final cross section results, which are the new CDF II measurement for Single Top events.
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