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IDM2008 - Identification of Dark Matter 2008
IDM2008 - Identification of Dark Matter 2008
18-22 August 2008 AlbaNova
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Combining accelerators with Dark Matter Direct Detection (15'+5')
A bayesian approach seems to be very efficient in the scan of the 24-dimesional
parameter space of a Minimal SuperSymmetry Model: in fact, differently from a 
scan, experimental constrains and data can be easily introduce into the analysis. 
example, a supposed detection of new particles at colliders will provide a 
of measurements able to guide us to the region in the SUSY parameter space 
that best
fit the data.
This technique can easily be extended to include results from an assumed 
detection in
an experiment of Dark Matter Direct Detection so that, in the hypothesis that 
DM is
made of the lightest neutralino, from the combination of accelerator observables 
measurements from DM searches, the SUSY parameters can be further 
There results can be used to obtain informations on the DM candidate, testing 
assumptions about, e.g., the local DM density and the average velocity.
I will briefly introduce the basis of the bayesian analysis and present some
preliminary results.
Id: 397
Place: AlbaNova
Room: Oskar Klein auditorium
Starting date:
18-Aug-2008   16:55
Duration: 20'
Contribution type: Talk
Primary Authors: Mr. FORNASA, Mattia (University of Padova & Institut d'Astrophysique de Paris)
Co-Authors: Dr. BERTONE, Gianfranco (Institut d'Astrophysique)
Presenters: Mr. FORNASA, Mattia
Material: slide Slides
Included in session: Connections with accelerators
Included in track: Connections with accelerators

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