Naturalness of MSSM dark matter

Abstract

There exists a vast literature examining the electroweak (EW) fine-tuning problem in supersymmetric scenarios, but little concerned with the dark matter (DM) one, which should be combined with the former. In this paper, we study this problem in an, as much as possible, exhaustive and rigorous way. We have considered the MSSM framework, assuming that the LSP is the lightest neutralino, ${\chi }_1^0$, and exploring the various possibilities for the mass and composition of ${\chi }_1^0$, as well as different mechanisms for annihilation of the DM particles in the early Universe (well-tempered neutralinos, funnels and co-annihilation scenarios). We also present a discussion about the statistical meaning of the fine-tuning and how it should be computed for the DM abundance, and combined with the EW fine-tuning. The results are very robust and model-independent and favour some scenarios (like the h-funnel when $M_{{\chi }_1^0}$ is not too close to $m_h/2$) with respect to others (such as the pure wino case). These features should be taken into account when one explores "natural SUSY" scenarios and their possible signatures at the LHC and in DM detection experiments.

28 pages, 18 figures. References added, matches JHEP published version

References in corpus (4)

• The Well-Tempered Neutralino
• micrOMEGAs4.1: two dark matter candidates
• Search for strong production of supersymmetric particles in final states with missing transverse momentum and at least three b-jets at $\sqrt{s}=$ 8 TeV proton-proton collisions with the ATLAS detector
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• GAMBIT and its Application in the Search for Physics Beyond the Standard Model
• Dark Matter in a Constrained $E_6$ Inspired SUSY Model
• A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications
• The current status of fine-tuning in supersymmetry
• Dark Matter, Sparticle Spectroscopy and Muon $(g-2)$ in $SU(4{)}_c\times SU(2{)}_L\times SU(2{)}_R$
• Low-mass neutralino dark matter in supergravity scenarios: phenomenology and naturalness
• Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
• Impact of the LZ Experiment on the DM Phenomenology and Naturalness in the MSSM