Chasing higgsino dark matter at colliders in the neutrino fog era
Prudhvi N. Bhattiprolu, Stephen P. Martin, James D. Wells

TL;DR
This paper examines the challenges of detecting higgsino dark matter at colliders amid increasing direct detection constraints, proposing collider signatures involving heavier superpartner decays as promising probes in the neutrino fog era.
Contribution
It analyzes current and future direct detection limits on higgsino purity and proposes collider search strategies involving decays of heavier superpartners to detect higgsino dark matter.
Findings
Current LUX-ZEPLIN limits set lower bounds on gaugino masses.
Projected direct detection sensitivities will approach the neutrino fog.
Decays of stop and wino pairs to higgsinos offer promising collider signatures.
Abstract
Higgsinos can be the lightest supersymmetric particles, allowing for either a full or partial dark matter interpretation, with the correct thermal freeze-out abundance obtained for masses near 1.1 TeV. Dark matter direct detection experimental results, now rapidly approaching the neutrino fog, imposes increasingly stringent requirements on higgsino purity. We begin by summarizing the purity constraints implied by the current strong limits from the LUX-ZEPLIN experiment in 2024, presenting them as lower bounds on gaugino masses in scenarios with decoupled sfermions and heavy Higgs bosons. We further quantify how these constraints will evolve as direct detection approaches various neutrino fog discovery and exclusion definitions and future exclusion projections. Finally, given that nearly pure higgsinos remain notoriously challenging to probe directly at colliders, we explore…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDark Matter and Cosmic Phenomena · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
