1. Supersymmetry Without Prejudice 第二部分 KITPC 2008 C.F. Berger, J. Gainer, JLH, T. Rizzo Coming soon to an ArXiv near you

2. Talk Outline: Plots, Plots, More Plots, and Even More Plots

3. Survival Statistics Flat Priors: –10 7 models scanned –68.5K (0.68%) survive Log Priors: –10 6 models scanned –3.0k (0.3%) survive 9999039 slha-okay.txt 7729165 error-okay.txt 3270330 lsp-okay.txt 3261059 deltaRho-okay.txt 2168599 gMinus2-okay.txt 617413 b2sGamma-okay.txt 594803 Bs2MuMu-okay.txt 592195 vacuum-okay.txt 582787 Bu2TauNu-okay.txt 471786 LEP-sparticle-okay.txt 471455 invisibleWidth-okay.txt 468539 susyhitProb-okay.txt 418503 stableParticle-okay.txt 418503 chargedHiggs-okay.txt 132877 directDetection-okay.txt 83662 neutralHiggs-okay.txt 73868 omega-okay.txt 73575 Bs2MuMu-2-okay.txt 72168 stableChargino-2-okay.txt 71976 triLepton-okay.txt 69518 jetMissing-okay.txt 68494 final-okay.txt

4. Predictions for Lightest Higgs Mass Flat PriorsLog Priors

5. Predictions for Heavy & Charged Higgs Flat PriorsLog Priors

6. Distribution for tan beta Flat PriorsLog Priors

7. Gluinos at the Tevatron Tevatron gluino/squark analyses performed solely for mSUGRA Alwall, Le, Lisanti, Wacker arXiv:0803.0019

8. Gluino Searches: Jets + MET Gluino-Bino mass ratio important for event kinematics

9. Combines 1j, 2j, 3j, & 4j results Tevatron Alwall etal

10. Distribution of Gluino Masses Flat PriorsLog Priors

11. Distributions for EW Gaugino Masses Flat PriorsLog Priors

12. Composition of the LSP Flat PriorsLog Priors

13. Distribution for Selectron/Sneutrino Masses Flat PriorsLog Priors

14. Distribution of Stau Masses Flat PriorsLog Priors

15. Distribution of Squark Masses Flat PriorsLog Priors

16. Distribution of Sbottom/Stop Masses Flat PriorsLog Priors

17. Character of the NLSP Flat PriorsLog Priors

18. NLSP-LSP Mass Splitting Flat Priors

19. NLSP-LSP Mass Splitting Log Priors

20. Predictions for b→sγ Flat PriorsLog Priors Exp’t SM

21. Predictions for B s →μμ Flat PriorsLog Priors B SM = 3.5 x 10 -9

22. Predictions for B →τν Flat PriorsLog Priors Exp’t SM

23. Predictions for Δ(g-2) μ Flat PriorsLog Priors Exp’t SM

24. Naturalness Criterion Flat Priors Log Priors Barbieri, Giudice Kasahara, Freese, Gondolo ΔΔ

25. Log Priors Δ Δ Flat Priors Fine Tuning and the LSP

26. Predictions for Relic Density Flat Priors Log Priors WMAP

27. Relic Density and the LSP Mass Flat PriorsLog Priors

28. Relic Density and the NLSP Flat PriorsLog Priors

29. Dark Matter Direct Detection Cross Sections Flat PriorsLog Priors Spin Dependent Spin Independent

30. Comparison with CMSSM Expectations Roszkowski etal 2006

31. Comparison with MSUGRA Expectations Baltz, Gondolo 2004

32. Neutron- Versus Proton-LSP Scattering Flat PriorsLog Priors Spin Dependent Spin Independent

33. Spin Dependent Versus Independent LSP- proton scattering Flat PriorsLog Priors

34. Distinguishing Dark Matter Models Flat Priors Barger etal

35. Linear Log 9.81 18.49 2.07 0.67 5.31 6.60 2.96 3.70 0.02 0.13 0.46 1.21 0.02 0.03 0.06 0.00 0.01 0.00 0.00 0.09 0.00 0.01 0.00 0.35 0.10 0.01 0.03 0.08 0.00 0.18 0.40 0.01 0.00 0.00 0.06 0.00 0.01 0.00 0.27 0.51 Mass Pattern Classification Nath etal

36. Flat PriorsLog Priors We have many more classifications! Flat Priors: 1099 Classes Log Priors: 269 Classes

37. Summary We have studied the PMSSM, without SUSY breaking assumptions, subject to a wide variety of experimental constraints ~0.7% of the PMSSM parameter space is allowed We have found a wide variety of model properties not found in MSUGRA –Colored sparticles can be very light –NLSP can be basically any sparticle –NLSP-LSP mass difference can be very small Wider variety of SUSY predictions for Dark Matter & Collider Signatures than previously thought – we will study these in detail in the future

38. The LHC Goes Mainstream