English

Closing Supersymmetric Resonance Regions With Direct Detection Experiments

High Energy Physics - Phenomenology 2013-08-09 v1 Cosmology and Nongalactic Astrophysics

Abstract

In order for neutralino dark matter to avoid being overproduced in the early universe, these particles must annihilate (or coannihilate) rather efficiently. Neutralinos with sufficiently large couplings to annihilate at such high a rate (such as those resulting from gaugino-higgsino mixing, as in "well-tempered" or "focus point" scenarios), however, have become increasingly disfavored by the null results of XENON100 and other direct detection experiments. One of the few remaining ways that neutralinos could potentially evade such constraints is if they annihilate through a resonance, as can occur if 2mχ0m_{\chi^0} falls within about \sim10% of either mA/Hm_{A/H}, mhm_h, or mZm_Z. If no signal is observed from upcoming direct detection experiments, the degree to which such a resonance must be tuned will increase significantly. In this paper, we quantify the degree to which such a resonance must be tuned in order to evade current and projected constraints from direct detection experiments. Assuming a future rate of progress among direct detection experiments that is similar to that obtained over the past decade, we project that within 7 years the light Higgs and ZZ pole regions will be entirely closed, while the remaining parameter space near the A/HA/H resonance will require that 2mχ02m_{\chi^0} be matched to the central value (near mAm_A) to within less than 4%. At this rate of progress, it will be a little over a decade before multi-ton direct detection experiments will be able to close the remaining, highly-tuned, regions of the A/HA/H resonance parameter space.

Keywords

Cite

@article{arxiv.1304.2417,
  title  = {Closing Supersymmetric Resonance Regions With Direct Detection Experiments},
  author = {Dan Hooper and Chris Kelso and Pearl Sandick and Wei Xue},
  journal= {arXiv preprint arXiv:1304.2417},
  year   = {2013}
}

Comments

8 pages, 6 Figures

R2 v1 2026-06-21T23:56:10.256Z