Gamma-rays From Neutralino Annihilation in Milky Way Substructure: What Can We Learn?

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

To be appear in the conference proceedings of the IVth Marseille International Cosmology Conference

Scientific paper

We estimate the probability of detecting gamma-rays from the annihilation of neutralino dark matter in the substructure of the Milky Way. We characterize substructure statistically based on Monte Carlo realizations of the formation of a Milky Way-like halo using semi-analytic methods that have been calibrated against N-body simulations. We find that it may be possible for the upcoming GLAST and VERITAS experiments, working in concert, to detect gamma-rays from dark matter substructure if $\Mchi \lsim 100 \GeV$, while for $\Mchi \gsim 500 \GeV$ such a detection seems unlikely. We investigate the effects of the underlying cosmological model and find that the probability of detection is sensitive to the primordial power spectrum of density fluctuations on small (galactic and sub-galactic) scales. We conclude that the lack of such a detection reveals little about the supersymmetric parameter space due to the uncertainties associated with the properties of substructure and cosmological parameters.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Gamma-rays From Neutralino Annihilation in Milky Way Substructure: What Can We Learn? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Gamma-rays From Neutralino Annihilation in Milky Way Substructure: What Can We Learn?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gamma-rays From Neutralino Annihilation in Milky Way Substructure: What Can We Learn? will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-111030

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.