The Well-Tempered Neutralino
N. Arkani-Hamed, A. Delgado, G. F. Giudice
TL;DR
Arkani-Hamed, Delgado, and Giudice address the challenge that LEP constraints make the thermal relic density a finely-tuned outcome in low-energy SUSY, rather than a robust prediction. They introduce the well-tempered neutralino as the boundary state between pure Bino and Higgsino or Bino and Wino, capable of reproducing the observed dark-matter density in realistic parameter spaces, and they derive analytic and numerical results for these mixtures, including the impact of high-energy boundary conditions. A key contribution is showing how conventional high-scale scenarios, notably anomaly mediation and gaugino unification, can realize the well-tempered condition via threshold corrections when mu is large, with Split Supersymmetry providing a natural framework (SMS) where this occurs. The work outlines distinctive collider and EDM phenomenology, such as quasi-degenerate neutralinos/charginos and gluino-related signals, making well-tempered neutralinos a testable bridge between dark matter and high-scale SUSY-breaking structure.
Abstract
The dark-matter prediction is usually considered as one of the successes of low-energy supersymmetry. We argue that, after LEP constraints are taken into account, the correct prediction for the dark-matter density, at a quantitative level, is no longer a natural consequence of supersymmetry, but it requires special relations among parameters, highly sensitive to small variations. This is analogous to the problem of electroweak-symmetry breaking, where the correct value of the Z mass is obtained only with a certain degree of fine tuning. In the general parameter space of low-energy supersymmetry, one of the most plausible solution to reproduce the correct value of the dark-matter density is the well-tempered neutralino, which corresponds to the boundary between a pure Bino and a pure Higgsino or Wino. We study the properties of well-tempered neutralinos and we propose a simple limit of split supersymmetry that realizes this situation.
