Supersymmetry Without Prejudice

第二部分

KITPC 2008

C.F. Berger, J. Gainer, JLH, T. RizzoComing soon to an ArXiv near you

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

Survival Statistics

• Flat Priors:– 107 models scanned– 68.5K (0.68%)

survive

• Log Priors:– 106 models scanned– 3.0k (0.3%) survive

9999039 slha-okay.txt7729165 error-okay.txt3270330 lsp-okay.txt3261059 deltaRho-okay.txt2168599 gMinus2-okay.txt617413 b2sGamma-okay.txt594803 Bs2MuMu-okay.txt592195 vacuum-okay.txt582787 Bu2TauNu-okay.txt471786 LEP-sparticle-okay.txt471455 invisibleWidth-okay.txt468539 susyhitProb-okay.txt418503 stableParticle-okay.txt418503 chargedHiggs-okay.txt132877 directDetection-okay.txt83662 neutralHiggs-okay.txt 73868 omega-okay.txt73575 Bs2MuMu-2-okay.txt72168 stableChargino-2-okay.txt71976 triLepton-okay.txt69518 jetMissing-okay.txt68494 final-okay.txt

Predictions for Lightest Higgs Mass

Flat Priors Log Priors

Predictions for Heavy & Charged Higgs

Flat Priors Log Priors

Distribution for tan beta

Flat Priors Log Priors

Gluinos at the Tevatron

Tevatron gluino/squark analyses performed solely for mSUGRA

Alwall, Le, Lisanti, WackerarXiv:0803.0019 

Gluino Searches: Jets + MET

Gluino-Bino mass ratio important for event kinematics

Combines 1j, 2j, 3j, & 4j results

Tevatron

Alwall etal

Distribution of Gluino MassesFlat Priors Log Priors

Distributions for EW Gaugino Masses

Flat Priors Log Priors

Composition of the LSP

Flat Priors Log Priors

Distribution for Selectron/Sneutrino Masses

Flat Priors Log Priors

Distribution of Stau Masses

Flat Priors Log Priors

Distribution of Squark Masses

Flat Priors Log Priors

Distribution of Sbottom/Stop MassesFlat Priors Log Priors

Character of the NLSP

Flat Priors Log Priors

NLSP-LSP Mass Splitting

Flat Priors

NLSP-LSP Mass Splitting

Log Priors

Predictions for b→sγ

Flat Priors Log Priors

Exp’t

SM

Predictions for Bs →μμ

Flat Priors Log Priors

BSM = 3.5 x 10-9

Predictions for B →τν

Flat Priors Log Priors

Exp’tSM

Predictions for Δ(g-2)μ

Flat Priors Log Priors

Exp’t

SM

Naturalness Criterion

Flat Priors Log Priors

Barbieri, GiudiceKasahara, Freese, Gondolo

Δ Δ

Log Priors

Δ

Δ

Flat Priors

Fine Tuning and the LSP

Predictions for Relic Density

Flat PriorsLog Priors

Log Priors

WMAP

Relic Density and the LSP Mass

Flat Priors Log Priors

Relic Density and the NLSP

Flat Priors Log Priors

Dark Matter Direct Detection Cross Sections

Flat Priors Log Priors

Spin Dependent

Spin IndependentSpin Independent

Comparison with CMSSM Expectations

Roszkowski etal 2006

Comparison with MSUGRA Expectations

Baltz, Gondolo 2004

Neutron- Versus Proton-LSP Scattering

Flat Priors Log Priors

Spin Dependent

Spin Independent

Spin Dependent Versus Independent LSP-proton scattering

Flat Priors Log Priors

Distinguishing Dark Matter Models

Flat Priors

Barger etal

Linear Log 9.81 18.49 2.07 0.67 5.31 6.60 2.96 3.70 0.02 0.13 0.46 1.210.02 0.03 0.06 0.000.01 0.00 0.00 0.00 0.09 0.00 0.01 0.000.01 0.000.35 0.100.01 0.030.08 0.000.18 0.400.01 0.000.00 0.000.06 0.000.01 0.000.27 0.51

Mass Pattern ClassificationNath etal

Flat Priors Log Priors

We have many more classifications!

Flat Priors:1099 Classes

Log Priors:269 Classes

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

The LHC Goes Mainstream