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The B s as a Piece of the New Physics Puzzle

The B s as a Piece of the New Physics Puzzle. Hal Evans Columbia U. Assumption we will have already discovered beyond the SM Physics at the Tevatron/LHC Question to address at next generation exp’s How can B-physics contribute to our understanding of the nature of the new physics

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The B s as a Piece of the New Physics Puzzle

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  1. The Bs as a Pieceof the New Physics Puzzle Hal Evans Columbia U. Assumption • we will have already discovered beyond the SM Physics at the Tevatron/LHC Question to address at next generation exp’s • How can B-physics contribute to our understanding of the nature of the new physics Specific questions to ask • What is the discriminating power of b-measurements to different beyond the SM flavors? • What are the projected sensitivities of upcoming exp’s? • What are their limiting experimental and theoretical errors? Hal Evans

  2. Acknowledgements Tulika Bose Leslie Groer Silas Hoffman Burair Kothari Christos Leonidopoulos Gabrielle Magro Georg Steinbrueck Mike Tuts any mistakes are purely due to me ! Hal Evans

  3. New Physics in the B System* * Buras, hep-ph/0101336 Hal Evans

  4. Models & Their Consequences Class A (Minimal Flavor Violation)Ali & London, hep-ph/0002167 • C1Wtt = C1Wtt(SM) [1 + f] Class B (General MFV)Buras, et al, hep-ph/0107048 • C1Wtt = C1Wtt(SM) [1 + fq] (q = d,s,) • fd fsf • Mq = Mq(SM) [1 + fq] • sin 2 ~ sin 2(SM) F [(1 + fd),(1 + fs),(1 + f)] Hal Evans

  5. More Models… Class C (Minimal Insertion Approx)Ali & Lunghi, hep-ph/0105200 • all M(gluino,squark) ~ TeV except lightest stop • only 1 unsuppressed off-diagonal elem’s in squark mass matrix • cL – t2 ~excluded by bs • Ms: C1Wtt = C1Wtt(SM) [1 + f] • K, Md, sin2: C1Wtt = C1Wtt(SM) [1 + f + g] (g = gR + igI) Class D (LR Sym + Spont CPV) Ball, et al, hep-ph/9910211 • very restrictive model • generally: sign[] opp. sign[a(Ks)] (same in SM) • , q related mainly to (2) param’s governing spont CPV Hal Evans

  6. Unitarity Triangle Predictions • Measurements & constraints included in fits to specific models • , |Vcb|, |Vub/Vcb|, Bq, fBi, mt,… • K, Md, b,… • Other B measurements also see effects: • bs, bd: rates and asymmetries • bsl+l-: asymmetries • BsJ/ asymmetry • … Hal Evans

  7. Unitarity Triangle in MFV Models 95% CL Allowed Contours from Fit f = 0 SM f = 0.2 mSUGRA f = 0.45 non-mSUGRA f = 0.75 non-SUGRA + nEDM Ali and London: hep-ph/0002167 Hal Evans

  8. Unitarity Triangle in GMFV 1 Allowed Contours from Fit Ms = 18.0 ± 0.05 ps-1 a(Ks) = 0.5 ± 0.05 Buras, Chankowski, Rosiek, Slawianowska: hep-ph/0107048 Hal Evans

  9. Unitarity Triangle in MIA 95% CL Allowed Contours from Fit Ali and Lunghi: hep-ph/0105200 Hal Evans

  10. Mass Parameters in SB LR Allowed Region from all Constraints M2 = mass of WR MH = extra Higgs masses Decoupling limit (M2,MH) excluded Ball, Frere, Matias: hep-ph/9910211 Hal Evans

  11. More Constraints: s & s • CPV Phase in Bs • A(t)[Bs J/ ]  sin s • like sin 2 this is free of hadronic uncertainties to O(10%) • New Physics  • Bs Width Difference • s = L – H = 2 | 12| cos s • CP = 2(CP+ – CP-) = 2 | 12| = s / cos s • Note that s only decreases with New Physics • various methods to disentangle s & cos s • Dunietz, Fleischer, Nierste: hep-ph/0012219 • s coupled to Ms in the SM Hal Evans

  12. s in New Physics Models Grossman: hep-ph/9603244 Hal Evans

  13. Experimental Statistics Hal Evans

  14. Main Exp Limitations Statistics Proper Time Resolution Backgrounds Main Theor Uncertainties fBBB mq Bs Experimental Sensitivities all sensitivities per year unless otherwise noted Hal Evans

  15. Gauging the Impact of Flavor Physics Goal • Compare discriminating power of Flavor Physics for different new physics models • Quantifies where Flavor Physics makes an impact Strategy • Develop standard tests • Apply these to current situation and expected future • Predictions for benchmark SUSY points • Allowed regions for classes of models • Define outputs: • Define inputs: standard current parameter sets • Improvement path: collect expected sens’s vs time Problems • do we miss something by narrowing our goals? Hal Evans

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