English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/26525
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

MSSM forecast for the LHC

AutorRuiz de Austri, Roberto ; Casas, Alberto ; Cabrera, María Eugenia
Palabras claveSupersymmetric Effective Theories
Beyond Standard Model
Supersymmetry Phenomenology
Fecha de publicaciónmay-2010
EditorSpringer
CitaciónJournal of High Energy Physics 5 (43): 1-48 (2010)
ResumenWe perform a forecast of the MSSM with universal soft terms (CMSSM) for the LHC, based on an improved Bayesian analysis. We do not incorporate ad hoc measures of the fine-tuning to penalize unnatural possibilities: such penalization arises from the Bayesian analysis itself when the experimental value of M-Z is considered. This allows to scan the whole parameter space, allowing arbitrarily large soft terms. Still the low-energy region is statistically favoured (even before including dark matter or g-2 constraints). Contrary to other studies, the results are almost unaffected by changing the upper limits taken for the soft terms. The results are also remarkable stable when using flat or logarithmic priors, a fact that arises from the larger statistical weight of the low-energy region in both cases. Then we incorporate all the important experimental constrains to the analysis, obtaining a map of the probability density of the MSSM parameter space, i.e. the forecast of the MSSM. Since not all the experimental information is equally robust, we perform separate analyses depending on the group of observables used. When only the most robust ones are used, the favoured region of the parameter space contains a significant portion outside the LHC reach. This effect gets reinforced if the Higgs mass is not close to its present experimental limit and persits when dark matter constraints are included. Only when the g-2 constraint (based on e(+)e(-) data) is considered, the preferred region (for mu > 0) is well inside the LHC scope. We also perform a Bayesian comparison of the positive- and negative-mu possibilities.
Versión del editorhttp://dx.doi.org/10.1007/JHEP05(2010)043
URIhttp://hdl.handle.net/10261/26525
DOI10.1007/JHEP05(2010)043
ISSN1126-6708
Aparece en las colecciones: (IFIC) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
MSSM.pdf1,24 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.