Distinguishing between MSSM and NMSSM by combined LHC and ILC analyses

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

14 pages, LaTeX, 1 figure; v2: discussion of Higgs sector and references added, published version

Scientific paper

10.1088/1126-6708/2005/06/048

We show that the interplay between the LHC and the e^+ e^- International Linear Collider (ILC) with sqrt{s}=500 GeV might be crucial for the discrimination between the minimal and next-to-minimal supersymmetric standard model. We present an NMSSM scenario that cannot be distinguished from the MSSM by cross sections and mass measurements if only the light neutralinos and the lightest chargino are kinematically accessible, even if one of the neutralinos has a significant singlino component. Mass predictions for the heavier neutralinos from the ILC analysis and their observation at the LHC lead to an identification of the neutralino mixing character and the underlying supersymmetric model in a combined LHC/ILC analysis. In our numerical example we include errors in the mass measurements and use standard methods of supersymmetric parameter determination.

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

Distinguishing between MSSM and NMSSM by combined LHC and ILC analyses 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 Distinguishing between MSSM and NMSSM by combined LHC and ILC analyses, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distinguishing between MSSM and NMSSM by combined LHC and ILC analyses will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-177246

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