Detecting Scalar Higgs Bosons in the Next-to-Minimal Supersymmetric Standard Model at Future Linear Colliders

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages(8 figures are included)

Scientific paper

We analyze the possibility of detecting one of the three scalar Higgs bosons in the next-to-minimal supersymmetric model at the future $e^+e^-$ linear collider, by examining their productions via the Higgsstrahlung process. The production cross sections of the three scalar Higgs bosons in $e^+e^-$ collisions are evaluated for the proposed c.m. energies of the future $e^+e^-$ colliders, for the whole space of relevant parameters. We find that at least one of the three production cross sections is not smaller than 16 fb, 4 fb, and 1 fb for ${\sqrt s} = 500$ GeV, 1000 GeV, and 2000 GeV, respectively. Those numbers indicate that at least one of the three scalar Higgs bosons in the next-to-minimal supersymmetric model may be detected at the future $e^+e^-$ linear colliders via the Higgsstrahlung process.

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

Detecting Scalar Higgs Bosons in the Next-to-Minimal Supersymmetric Standard Model at Future Linear 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 Detecting Scalar Higgs Bosons in the Next-to-Minimal Supersymmetric Standard Model at Future Linear Colliders, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting Scalar Higgs Bosons in the Next-to-Minimal Supersymmetric Standard Model at Future Linear Colliders will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-572970

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