Markov Chain Monte Carlo Exploration of Minimal Supergravity with Implications for Dark Matter
We explore the full parameter space of Minimal Supergravity (mSUGRA), allowing all four continuous parameters (the scalar mass m{sub 0}, the gaugino mass m{sub 1/2}, the trilinear coupling A{sub 0}, and the ratio of Higgs vacuum expectation values tan {beta}) to vary freely. We apply current accelerator constraints on sparticle and Higgs masses, and on the b {yields} s{gamma} branching ratio, and discuss the impact of the constraints on g{sub {mu}}-2. To study dark matter, we apply the WMAP constraint on the cold dark matter density. We develop Markov Chain Monte Carlo (MCMC) techniques to explore the parameter regions consistent with WMAP, finding them to be considerably superior to previously used methods for exploring supersymmetric parameter spaces. Finally, we study the reach of current and future direct detection experiments in light of the WMAP constraint.
- Research Organization:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (US)
- DOE Contract Number:
- AC03-76SF00515
- OSTI ID:
- 827306
- Report Number(s):
- SLAC-PUB-10566; TRN: US0403278
- Resource Relation:
- Other Information: PBD: 19 Jul 2004
- Country of Publication:
- United States
- Language:
- English
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