Using machine learning to measure the cross section of top quark pairs in the muon+jets channel at the Compact Muon Solenoid
by Kirn, Malina Aurelia, Ph.D., UNIVERSITY OF MARYLAND, COLLEGE PARK, 2011, 163 pages; 3495341

Abstract:

The cross section for pp → tt¯ production at a center of mass energy of 7 TeV is measured using a data sample with integrated luminosity 36.1 pb–1 collected by the CMS detector at the LHC. The analysis is performed on a computing grid. Events with an isolated muon and three hadronic jets are analyzed using a multivariate machine learning algorithm. Kinematic variables and b tags are provided as input to the algorithm; output from the algorithm is used in a maximum likelihood fit to determine tt¯ event yield. The measured cross section is 151 ± 15[special characters omitted](syst.) ± 6(lumi.) pb.

 
AdviserNicholas Hadley
SchoolUNIVERSITY OF MARYLAND, COLLEGE PARK
SourceDAI/B 73-06, p. , Mar 2012
Source TypeDissertation
SubjectsParticle physics; Computer science
Publication Number3495341
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