SUPERSYMMETRIC DARK MATTER

SUPERSYMMETRIC DARK MATTER

23 Oct 1996 | PRAN NATH, R. ARNOWITT
The review discusses recent developments in the analysis of supersymmetric dark matter. It highlights the evidence for dark matter in the universe, including its abundance and various candidates such as massive neutrinos, axions, and supersymmetric particles. The authors focus on the Minimal Supersymmetric Standard Model (MSSM) and the minimal supergravity grand unified theory (SUGRA), exploring the parameter space and constraints on dark matter candidates. They discuss the relic density analysis, constraints from cosmological observations, and the detection of dark matter through scattering of neutralino particles from nuclei. The review also examines the effects of non-universal soft SUSY breaking on event rates and concludes with a discussion on the implications for dark matter detectors. The authors emphasize the need for improved sensitivity in future experiments to fully explore the parameter space of supersymmetric dark matter models.The review discusses recent developments in the analysis of supersymmetric dark matter. It highlights the evidence for dark matter in the universe, including its abundance and various candidates such as massive neutrinos, axions, and supersymmetric particles. The authors focus on the Minimal Supersymmetric Standard Model (MSSM) and the minimal supergravity grand unified theory (SUGRA), exploring the parameter space and constraints on dark matter candidates. They discuss the relic density analysis, constraints from cosmological observations, and the detection of dark matter through scattering of neutralino particles from nuclei. The review also examines the effects of non-universal soft SUSY breaking on event rates and concludes with a discussion on the implications for dark matter detectors. The authors emphasize the need for improved sensitivity in future experiments to fully explore the parameter space of supersymmetric dark matter models.
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[slides and audio] Supersymmetric Dark Matter