English

Prospecting bipartite Dark Matter through Gravitational Waves

High Energy Physics - Phenomenology 2025-05-16 v2 Cosmology and Nongalactic Astrophysics High Energy Physics - Experiment

Abstract

We explore the gravitational wave probes of a two-component dark matter framework, consisting of an SU(2)LSU(2)_L triplet scalar and a Standard Model singlet fermion. The triplet scalar dark matter typically remains underabundant in the region below 1.9\sim 1.9 TeV, due to the strong SU(2)LSU(2)_L gauge mediated interactions. We introduce a second dark matter component, an SU(2)LSU(2)_L singlet vector-like Dirac fermion, to address this deficit in the dark matter relic abundance within a sub-TeV range. A key aspect of the proposed setup is the potential dark matter inter-conversion between the two components, which impacts the dark matter freeze-out dynamics and relic density of individual dark matter components. In such a scenario, we examine the properties of electroweak phase transition and identify the regions of parameter space that exhibit strong first-order phase transition. We estimate the resulting gravitational wave spectrum and its detectability, which could be probed through the conventional power-law-integrated sensitivity limits and the recently proposed peak-integrated sensitivity curves. Our analysis reveals that a novel region of the model's parameter space, compatible with dark matter observables, can generate a detectable gravitational wave spectrum, observable by upcoming space-based gravitational wave detectors such as LISA, BBO, DECIGO, and DECIGOcorr, while also offering complementary detection prospects in the dark matter and collider experiments.

Keywords

Cite

@article{arxiv.2412.17141,
  title  = {Prospecting bipartite Dark Matter through Gravitational Waves},
  author = {Pankaj Borah and Pradipta Ghosh and Abhijit Kumar Saha},
  journal= {arXiv preprint arXiv:2412.17141},
  year   = {2025}
}

Comments

88 Pages, 24 Figures, new references added, version accepted for publication in JCAP

R2 v1 2026-06-28T20:45:49.052Z