Panglossian Prospects for Detecting Neutralino Dark Matter in Light of Natural Priors

TL;DR

Applying a natural prior measure to the CMSSM significantly favors the focus point region, predicting mixed bino-higgsino neutralinos with high detection prospects in current and upcoming experiments.

Contribution

This work introduces a natural prior measure on mu and B parameters, revealing a strong preference for the focus point region and enhancing neutralino dark matter detection prospects.

Findings

Mixed bino-higgsino neutralinos are favored (~10% higgsino).

Most parameter space is within an order of magnitude of current detection limits.

Predicted neutrino events at IceCube are thousands per year.

Abstract

In most global fits of the constrained minimal supersymmetric model (CMSSM) to indirect data, the a priori likelihoods of any two points in tan beta are treated as equal, and the more fundamental mu and B Higgs potential parameters are fixed by potential minimization conditions. We find that, if instead a flat ("natural")prior measure on mu and B is placed, a strong preference exists for the focus point region from fits to particle physics and cosmological data. In particular, we find that the lightest neutralino is strongly favored to be a mixed bino-higgsino (~10% higgsino). Such mixed neutralinos have large elastic scattering cross sections with nuclei, leading to extremely promising prospects for both underground direct detection experiments and neutrino telescopes. In particular, the majority of the posterior probability distribution falls within parameter space within an order of magnitude of current direct detection constraints. Furthermore, neutralino annihilations in the sun are predicted to generate thousands of neutrino induced muon events per years at IceCube. Thus, assuming the framework of the CMSSM and using the natural prior measure, modulo caveats regarding astrophysical uncertainties, we are likely to be living in a world with good prospects for the direct and indirect detection of neutralino dark matter.