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Title: "The Posterior Sample Points' SLHA Files from the Bayesian Fits of the Phenomenological MSSM"      
dateReleased:
10-10-2013
downloadURL: http://dx.doi.org/10.7910/DVN/22742
ID:
doi:10.7910/DVN/22742
description:
The Posterior Sample Points' SLHA Files from the Bayesian Fits of the Phenomenological MSSM (pMSSM) to indirect collider and dark matter data. The motivation for the pMSSM and the fitting of the parameters are described in the publications. Each of the SLHA files passed all the constrains from dark matter, electroweak physics observables, B-physics observables, Higgs boson and sparticle mass limits from LEP and the Tevatron experiments. Each of the two data files are independent posterior samples that come from the 25 parameters fit using `nested sampling' Monte Carlo techniques in the context of logarithmic or linear prior distributions of the parameters.
description:
AbdusSalam, Shehu; Allanach, Benjamin; Quevedo, Fernando; Feroz, Farhan; Hobson, Mike, 2013, ""The Posterior Sample Points' SLHA Files from the Bayesian Fits of the Phenomenological MSSM"", http://dx.doi.org/10.7910/DVN/22742, Harvard Dataverse, V1
name:
AbdusSalam, Shehu
Allanach, Benjamin
Quevedo, Fernando
Feroz, Farhan
Hobson, Mike
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997