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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Global fits of the cMSSM including the first LHC and XENON100 data
Journal of Cosmology and Astroparticle Physics, Volume 2012, No. 1, Article 015, Year 2012
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Description
We present updated global fits of the constrained Minimal Supersymmetric Standard Model (cMSSM), including the most recent constraints from the ATLAS and CMS detectors at the LHC, as well as the most recent results of the XENON100 experiment. Our robust analysis takes into account both astrophysical and hadronic uncertainties that enter in the calculation of the rate of WIMP-induced recoils in direct detection experiment. We study the consequences for neutralino Dark Matter, and show that current direct detection data already allow to robustly rule out the so-called Focus Point region, therefore demonstrating the importance of particle astrophysics experiments in constraining extensions of the Standard Model of Particle Physics. We also observe an increased compatibility between results obtained from a Bayesian and a Frequentist statistical perspective. We find that upcoming ton-scale direct detection experiments will probe essentially the entire currently favoured region (at the 99% level), almost independently of the statistical approach used. Prospects for indirect detection of the cMSSM are further reduced. © 2012 IOP Publishing Ltd and SISSA.
Authors & Co-Authors
Bertone, Gianfranco
Netherlands, Amsterdam
Universiteit Van Amsterdam
Cerdeño, D. G.
Spain, Madrid
Universidad Autónoma de Madrid
Fornasa, Mattia
Spain, Granada
Instituto de Astrofísica de Andalucía - Csic
de Austri, Roberto Ruiz
Spain, Paterna
Csic-uv - Instituto de Física Corpuscular
Strege, C.
United Kingdom, London
Imperial College London
Trotta, Roberto
United Kingdom, London
Imperial College London
South Africa, Muizenberg
African Institute for Mathematical Sciences
Statistics
Citations: 85
Authors: 6
Affiliations: 6
Identifiers
Doi:
10.1088/1475-7516/2012/01/015
e-ISSN:
14757516
Study Approach
Quantitative