Selecting Supersymmetric String Scenarios From Sparticle Spectra

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

24 pages, 10 figures; limits from muon g-2 revised to most recent value with corresponding changes in conclusions; added short

Scientific paper

10.1088/1126-6708/2002/05/048

We approach the following question: if supersymmetry is discovered, how can we select among different supersymmetric extensions of the Standard Model? In particular, we perform an analysis of the sparticle spectrum in low-energy string effective theories, asking which observables best distinguish various scenarios. We examine scenarios differing by the fundamental string scale and concentrate on GUT and intermediate scale models. We scan over all parameters (two goldstino angles, tan beta and the gravitino mass) in each scenario, finding ratios of sparticle masses that provide the maximum discrimination between them. The necessary accuracy for discrimination is determined in each case. We find that the required accuracy on various sparticle mass ratios is at the few percent level, a precision that may be achieved in future linear colliders. We also map out phenomenologically viable regions of parameter space.

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

Selecting Supersymmetric String Scenarios From Sparticle Spectra 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 Selecting Supersymmetric String Scenarios From Sparticle Spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Selecting Supersymmetric String Scenarios From Sparticle Spectra will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-433976

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