Identification of Dark Matter particles with LHC and direct detection data

Gianfranco Bertone; David G. Cerdeno; Mattia Fornasa; Roberto Ruiz de Austri; Roberto Trotta

doi:10.1103/physrevd.82.055008

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arXiv · 1005.4280

Identification of Dark Matter particles with LHC and direct detection data

Gianfranco Bertone·David G. Cerdeno·Mattia Fornasa·Roberto Ruiz de Austri·Roberto Trotta

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Abstract

Dark matter (DM) is currently searched for with a variety of detection strategies. Accelerator searches are particularly promising, but even if Weakly Interacting Massive Particles (WIMPs) are found at the Large Hadron Collider (LHC), it will be difficult to prove that they constitute the bulk of the DM in the Universe. We show that a significantly better reconstruction of the DM properties can be obtained with a combined analysis of LHC and direct detection (DD) data, by making a simple Ansatz on the WIMP local density, i.e. by assuming that the local density scales with the cosmological relic abundance. We demonstrate this method in an explicit example in the context of a 24-parameter supersymmetric model, with a neutralino LSP in the stau co-annihilation region. Our results show that future ton-scale DD experiments will allow to break degeneracies in the SUSY parameter space and achieve a significantly better reconstruction of the neutralino composition and its relic density than with LHC data alone.

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Gianfranco Bertone, David G. Cerdeno, Mattia Fornasa, Roberto Ruiz de Austri, Roberto Trotta. 2010-10-12. Identification of Dark Matter particles with LHC and direct detection data. https://doi.org/10.1103/physrevd.82.055008

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