Markov Chain Monte Carlo Exploration of Minimal Supergravity with Implications for Dark Matter

Technical Report · Mon Jul 19 04:00:00 EDT 2004

DOI:https://doi.org/10.2172/827306· OSTI ID:827306

Baltz, E ^[1]

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1. SLAC

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: Stanford Linear Accelerator Center, Menlo Park, CA (US)
• Sponsoring Organization: USDOE Office of Science (US)
• DOE Contract Number: AC03-76SF00515
• OSTI ID: 827306
• Report Number(s): SLAC-PUB-10566
• Country of Publication: United States
• Language: English

Related Subjects

43 PARTICLE ACCELERATORS
ACCELERATORS
BRANCHING RATIO
CHAINS
DETECTION
EXPECTATION VALUE
EXPLORATION
NONLUMINOUS MATTER
SCALARS
SPARTICLES
SUPERGRAVITY