Using machine learning to measure the cross section of top quark pairs in the muon+jets channel at the Compact Muon Solenoid
Using machine learning to measure the cross section of top quark pairs in the muon+jets channel at the Compact Muon Solenoid
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Date
2011
Authors
Kirn, Malina Aurelia
Advisor
Hadley, Nicholas
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Abstract
The cross section for pp to top-antitop production at a center of mass energy of 7 TeV is measured using a data sample with integrated luminosity 36.1 inverse pb 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 top-antitop event yield. The measured cross section is 151 +/- 15(stat.) +35/-28(syst.) +/- 6(lumi.) pb.