WMAP constraints on SUGRA models with non-universal gaugino masses and prospects for direct detection

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

45 pages, 18 figures

Scientific paper

10.1016/j.nuclphysb.2004.11.036

We discuss constraints on supersymmetric models arising from the relic density measurements of WMAP as well as from direct and precision measurements, LEP, b-sgamma, g-2, Bs-mumu. We consider mSUGRA models and their extensions with non-universal gaugino masses. We find, as commonly known, that the relic density pinpoints towards very specific regions of the mSUGRA models: coannihilation, focus and Heavy Higgs annihilation. The allowed regions widen significantly when varying the top quark mass. Introducing some non-universality in the gaugino masses significantly changes this conclusion as in specific non-universal models the relic density upper limit can be easily satisfied. This occurs with models where M1>M2 at the GUT scale when the LSP has a high wino component. Models where M3

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

WMAP constraints on SUGRA models with non-universal gaugino masses and prospects for direct detection 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 WMAP constraints on SUGRA models with non-universal gaugino masses and prospects for direct detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and WMAP constraints on SUGRA models with non-universal gaugino masses and prospects for direct detection will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-535684

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