Muon $B$ Flavor Tagging
A Likelihood Approach




Text for the blessed web page - CDF note 7043

The CDF Collaboration

29 July 2004

Abstract:

We describe a muon identification algorithm to be used for opposite side $B$ flavor tagging. Track-stub matching quantities and calorimeter information are combined in a likelihood function which estimates the probability that a muon object is a real muon. The tagger performance is studied on lepton+SVT data. Using the dependence of the tagging dilution on the muon system, the likelihood function and $p_T^{rel}$, we obtain a combined $\epsilon D^2 = 0.698 \pm 0.042(stat.)^{+0.051}_{-0.027}(syst.).$