SUSYGEN 2.2 - A Monte Carlo Event Generator for MSSM Sparticle Production at e+ e- Colliders

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

68 pages, 8 figures. Submitted to Comp. Phys. Commun

Scientific paper

10.1016/S0010-4655(98)00043-5

SUSYGEN is a Monte Carlo program designed for computing distributions and generating events for MSSM sparticle production in e+ e- collisions. The Supersymmetric (SUSY) mass spectrum may either be supplied by the user, or can alternatively be calculated in two different models of SUSY Breaking: gravity mediated supersymmetry breaking (SUGRA), and gauge mediated supersymmetry breaking (GMSB). The program incorporates the most important production processes and decay modes, including the full set of R-parity violating decays, and the decays to the gravitino in GMSB models. Initial state radiation corrections take into account pT/pL effects in the Structure Function formalism, and an optimised hadronisation interface to JETSET 7.4 including final state radiation is also provided.

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

SUSYGEN 2.2 - A Monte Carlo Event Generator for MSSM Sparticle Production at e+ e- Colliders 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 SUSYGEN 2.2 - A Monte Carlo Event Generator for MSSM Sparticle Production at e+ e- Colliders, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and SUSYGEN 2.2 - A Monte Carlo Event Generator for MSSM Sparticle Production at e+ e- Colliders will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-66633

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