New BaBar Results on Rare Leptonic B Decays

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1 New BaBar Results on Rare Leptonic B Decays Valerie Halyo Stanford Linear Accelerator Center (SLAC) FPCP 22 valerieh@slac.stanford.edu 1

2 Table of Contents Motivation to look for and Analysis Strategy Measurement Criteria Cut Optimization Systematics Results FPCP 22 2

3 Motivation B b W B Z ν Z ν b s W K Standard Model Feynman diagrams for SM prediction B ν CLEO best limit b W s ν K W ν ν s K The second largest BR for rare B - decays involving leptons is final state Only one operator in SM Theoretically clean Enhancements from beyond the SM: Fourth generation Extra vector-like down quark SUSY violating R-parity FCNC FPCP 22 valerieh@slac.stanford.edu 3

4 # $ Motivation Standard Model Feynman diagrams for Enhancements from beyond the SM: MHDM with NFC and large Extra vector-like down quark MSSM (large ) Leptoquark SUSY violating R-parity just allowed due to "! FPCP 22 valerieh@slac.stanford.edu 4

5 & & & Analysis Strategy for Tag one B, modes ' modes ( ' ' & ' ' )' ' )' Remove the daughters of the tagged B from the event Veto events with more than one charged track Attribute the remaining particles with the signature expected from No background subtraction applied for UL This method yield of decays reconstructed as tags The tagging efficiency was corrected using a double tags sample. FPCP 22 valerieh@slac.stanford.edu 5

6 2?? > <! : Measurement Criteria for Tagging Require one lepton with Loose consistency on and Vtx MC Data off-peak MC off-peak data + * * 1 5 -, Cos(B,Dl) 354./1! > 9=< A< where 9CB AB in frame. FPCP 22 valerieh@slac.stanford.edu 6

7 D Semi-exclusive Mass Reconstruction 6 5 MC Data off-peak MC off-peak data MC Data off-peak MC off-peak data 5 4 MC Data off-peak MC off-peak data D mass (GeV) D mass (GeV) D mass (GeV) FPCP 22 valerieh@slac.stanford.edu 7

8 + G FE Measurement Criteria for the Signal 35 One Kaon with charge opposite to the tagged lepton all generic MC all data signal MC Remaining neutral energy (GeV) clusters consistent with coming from a neutral hadron all generic MC all data signal MC./ P * of signal candidate track (GeV) FPCP 22 valerieh@slac.stanford.edu 8

9 Signal and Sideband Definition number of sigma from D mass Signal box Eleft sideband D mass sideband Signal box and mass Sideband Eleft FPCP 22 valerieh@slac.stanford.edu 9

10 H Systematics and Efficiency Correction Tag to ' and the other MC 9 Use double-tags to extract a correction to the efficiency calculated from the signal MC. Double tag yield: M(D ) vs M(Kπ), simulation In data In MC DATA M(D ) vs M(Kπ), on-peak data Rate in data is.85 the rate in simulation is corrected by where the error is taken as the systematic Q P LNMO IKJ FPCP 22 valerieh@slac.stanford.edu 1

11 U U U U U ` U U Systematic Errors Quantity B -counting tagging efficiency Kaon momentum Kaon selection T S R"S Z[ VXWY \^]_ Total The resulting overall signal efficiency is FPCP 22 valerieh@slac.stanford.edu 11

12 e d c c b a a / b a a Unblinded Results # of sigma B A B A R # of sigma B A B A R Eleft Eleft / / MC should be scaled with / to on-peak lumi The UL for fb with CL for is: FPCP 22 valerieh@slac.stanford.edu 12

13 Analysis Strategy Reconstruct the signal B with two high momentum leptons Apply cuts to suppress the background Estimate the background in signal box Fit the data in the sidebands Normalization from data No background subtraction applied for Upper Limit Y4S rest frame: l e e+ l+ other B Y4S rest frame: l e e+ l+ qq jets FPCP 22 valerieh@slac.stanford.edu 13

14 f 8 1! ( 8. 7! Measurement Criteria Event Preselection in drift chamber 3. / Two tracks with Track selection Tight Doca Event selection..g h /, ( FPCP 22 valerieh@slac.stanford.edu 14

15 i e9 Vertexing Well reconstructed vertex Shape Variables -reconstruction Cuts on standard variables and are optimized for best UL. Arbitrary Units Arbitrary Units Signal MC Background MC T 25 2 Signal MC Background MC cosθ T FPCP 22 valerieh@slac.stanford.edu 15

16 e9 Signal Box Upper Limit Optimization 9 CL Upper Limit Distance from Mes Mean (GeV) High Edge (GeV) Low Edge (GeV) range: range: The scale in these plots is proportional to the CL Upper Limit on the BR FPCP 22 valerieh@slac.stanford.edu 16

17 i j k l Shape Variables Optimization The simultaneous upper limit optimization of somewhat harder cuts than. and yielded T ) cos(θ T cos(θ T ) T UL optimization, i FPCP 22 valerieh@slac.stanford.edu 17

18 n m p n m p n m q o q q o o uv uv uv The resulting signal efficiency after applying all cuts amounts to: for for for These numbers include the different size of the signal box in the three channels. Box Name t rs t rs t rs Signal Box Grand Sideband FPCP 22 valerieh@slac.stanford.edu 18

19 Blind Analysis: E [GeV] Data on resonance m ES [GeV] 25 events observed in the GSB in data E [GeV] Data on resonance m ES [GeV] 26 events observed in the GSB in data E [GeV] Data on resonance m ES [GeV] 37 events observed in the GSB in data FPCP 22 valerieh@slac.stanford.edu 19

20 Background Sources The main sources of background for the three channels A common background composed of real leptons for all channels comes from In additions fake muon are introduced by misidentified pions in the and channels processes contribute to and FPCP 22 valerieh@slac.stanford.edu 2

21 ~ } y x w { z x w { y z y x w Background Estimation Entries / Bin 6 Fitted to Argus function Entries / Bin 4.5 Fitted to exponential mes [GeV] E [GeV] The Unbinned Maximum Likelihood fit results are: Background estimate ˆ ƒ FPCP 22 valerieh@slac.stanford.edu 21

22 Š Š Œ ª Systematics The systematic uncertainty is estimated by using a control sample, with. Ž Ž Œ 5 5 Quantity Track smearing and efficiency, per track Electron identification, per electron Hadron misidentification, per track 5-5 œ š œ š Ÿ ž œ - œ œ œ ž Ÿ œ š š š š «; Ÿ Ÿ œ œ ²³ ± ³ ³N ž ž N µ œ œ Ÿ Ÿ Ÿ Ÿ - Ÿ œ primary Vertex -candidate Vertex Sub-Total Total - FPCP 22 valerieh@slac.stanford.edu 22

23 Å Ú Î Ö Ö ÊÓ Ð Ò É Ð Ì Ë ÕÔ ÊÓ Ð Í Ò Ò Î Ð Ô Ê ÔÊ Ò Ì Ë ÝÔ Ê Û Ò Ð Ô Êà Ð Ò Ì Ë ÝÖ áð Ê ß Û Þ Í Ò Results BABAR E [GeV] BABAR E [GeV] BABAR E [GeV] [GeV] m ES [GeV] m ES [GeV] m ES CL) Ç ÊÉ UL ( È ÇÆ Ä ¹Ã ÀÁ ¹ ¾ ¹»º¼½ Channel Ï ÊÐ Ê Õ Ê Ò Ö Ê Ò Ð Ñ Ï ÊÐ Ê Ò Ï Í Á ÙÁ NØ Á Ú Ï ÊÐ Ý ÐÝÒ É Ð Ê Ò É Õ Ê Ò Ü Ï ÊÐ Ê Ò Õ Ï Û Á ÙÁ NØ Á Ú Ï ÊÐ Á ÙÁ NØ Á Ê Ò Ö ÐÝÒ Ê Ò Ð à Ê Ò FPCP 22 valerieh@slac.stanford.edu 23

24 BaBar Results for the Rare B Decays The Upper Limits values for the BR of and at CL are: Mode CLEO Belle Babar - Luminosity fb fb fb FPCP 22 valerieh@slac.stanford.edu 24

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