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S(M D ). LR_D (M D ) =. +. S(M D ). B(M D ). Main differences w.r.t. Ruslan’s a nalysis. R 2 < 0.3 K ± : P( K/ ) > 0.4 ± : P( /K ) > 0.1 D 0 reconstruction : BF ~ 28% K , K3 , K 0 + Ks , Ks KK , KK B ± D 0 D 0 K ± reconstruction :
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S(MD) LR_D (MD) = + S(MD) B(MD) Main differences w.r.t. Ruslan’s analysis • R2< 0.3 • K± : P(K/) > 0.4± : P(/K) > 0.1 • D0 reconstruction: BF ~ 28%K , K3 , K0 + Ks , KsKK , KK • B± D0D0 K ± reconstruction : B vertex fit: with IP and B lifetime constraints, cl_B > 0 (except B decays with D0 K0 ) no cosTHR, cosPROD “shape” cuts LR_B = LR_D1× LR_D2 Choice of the best B candidate : S(MD), B(MD) parameterization from MD fit (data) where: best B candidate : with max LR_B LR_B cut used also for background discrimination B DDK JOLANTA BRODZICKA, INP Krakow
B± D0 D0B K±LR > 0.04 for 96x106 BB-bar Plot for Mbc>5.265 GeV Plot for abs(E)<25MeV N/7.5MeV N/2MeV E Mbc (3770) D0 D0B BW+sqrt(1-thr/x)*pol_3 D0 D0B K±signal (from 2-dim likelihood fit) S=68.1 ± 10.6 total eff= 4.91*10-4 BF = ( 1.44 ± 0.25 ) * 10-3 S = 18.7 ± 7.5 M=3781 ± 5 MeV W=23.6 MeV MASS D0D0B for signal_box events JOLANTA BRODZICKA, INP Krakow B DDK