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Title: Bayesian exploration of supersymmetric parameter spaces
Author: Varley, Tom Andrew
ISNI:       0000 0004 2724 8655
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2010
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The exploration of several supersymmetric parameter spaces implementing experimental constraints including those from both collider and dark matter relic density considerations and using a Bayesian approach is undertaken. Two scanning methods were used in conjunction with this, both the more customary l\Iarkov-Chain Monte Carlo (MGMC) technique, and also the recently developed Nested Sampling method. Using the power and utility of such formalism, a first Bayesian investigation of the Non Universal Higgs Model (NUH~d) was made, as well as a first full scan of the Constrained Next-to-l\1inimal Supersymmetric Standard Model (CNrvISSM). In addition this technique was also applied to the 'ideal Higgs scenario' in the NMSSM in order to efficiently find points of interest. As well as producing probabilistic interpretations of the parameter spaces in question, the Nested Sampling approach allows some qualitative model comparison to be made between the models studied, to see which best fit the data. In addition, some general practical lessons about the sensible interpretation of a Bayesian scan are presented and commented on, and the issue of generation of heavy higgsino dark matter (a common feature in all the models studied) via the RGEs is also addressed, with a specific focus on a novel mild focusing effect in the NUHM.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available