4.6 Article

Can we discover dual-component thermal WIMP dark matter?

Journal

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2009/12/016

Keywords

dark matter simulations; dark matter theory

Ask authors/readers for more resources

We address the question of whether the upcoming generation of dark matter search experiments and colliders will be able to discover if the dark matter in the Universe has two components of weakly interacting massive particles (WIMPs) We outline a model-independent approach, and We Study the specific cases of (1) direct detection with low-background I ton noble-gas detectors and (2) a 0 5 TeV center of mass energy electron-positron linear collider We also analyze the case of indirect detection via two gamma-ray lines, which would provide a verification of such a discovery, although multiple gamma-ray lines can in principle originate from the annihilation of a single dark matter particle For each search channel, we outline a few assumptions to relate the very small set of parameters we consider (defining the masses of the two WIMPs and then relative abundance in the overall dark matter density) with the relevant detection rates We then draw general conclusions on which corners of a generic dual-component dark matter scenario can be explored with current and next generation experiments. We find that in all channels the ideal setup is one where the relative mass splitting between the two WIMP species is of older 1, and where the two dark matter components contribute in a ratio close to 1 1 to the overall dark matter content of the Universe Interestingly, in the case of direct detection, future experiments might detect multiple states even if only similar to 10% of the energy-density of dark matter in the Universe is in the subdominant species

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available