Global Fits of the Large Volume String Scenario to WMAP5 and Other Indirect Constraints Using Markov Chain Monte Carlo
arXiv:0806.1184 · doi:10.1088/1126-6708/2008/08/105
Abstract
We present global fits to the Large Volume Scenario (LVS) of string models using current indirect data. We use WMAP5 constraints on dark matter relic density, b-physics and electroweak observables as well as direct search constraints. Such data can be adequately fit by LVS, with the best-fit point for mu>0 having chi^2=13.6 for 8 degrees of freedom. The resulting constraints on parameter space are robust in that they do not depend much upon the prior, or upon whether one uses Bayesian or frequentist interpretations of the data. Sparticle masses are constrained to be well below the 1 TeV level, predicting early SUSY discovery at the LHC. We devise a method of quantifying which are the most important constraints. We find that the LEP2 Higgs mass constraint, the relic density of dark matter and the anomalous magnetic moment of the muon affect the fits to the strongest degree.
30 pages, 10 figures
References in corpus (11)
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- Neutralino with the Right Cold Dark Matter Abundance in (Almost) Any Supersymmetric Model
- SuperIso: A program for calculating the isospin asymmetry of B -> K* gamma in the MSSM
- Hints of large tan(beta) in flavour physics
- String loop corrected hypermultiplet moduli spaces
- Astrophysical and Cosmological Implications of Large Volume String Compactifications
- Sparticle Spectra and LHC Signatures for Large Volume String Compactifications
- On prospects for dark matter indirect detection in the Constrained MSSM
- New constraints on supersymmetric models from b -> s gamma
- The Neutrino Suppression Scale from Large Volumes
- Neutrino sector impacts SUSY dark matter
Cited by in corpus (5)
- SuperIso v3.0: A program for calculating flavor physics observables in 2HDM and supersymmetry
- Bayesian Selection of sign(mu) within mSUGRA in Global Fits Including WMAP5 Results
- A Coverage Study of the CMSSM Based on ATLAS Sensitivity Using Fast Neural Networks Techniques
- Prospects for dark matter detection with IceCube in the context of the CMSSM
- Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models