Improved White Dwarves Constraints on Inelastic Dark Matter and Left-Right Symmetric Models
Anirban Biswas (Sogang U., CQUeST), Arpan Kar (Sogang U. and, CQUeST), Hyomin Kim (Sogang U., CQUeST), Stefano Scopel (Sogang U. and, CQUeST), Liliana Velasco-Sevilla (Sogang U., CQUeST, KIAS)

TL;DR
This paper demonstrates that white dwarf observations can set new constraints on inelastic dark matter interactions and significantly restrict the parameter space of Left-Right Symmetric Models, surpassing previous detection methods.
Contribution
It introduces novel astrophysical constraints on inelastic dark matter and applies these to limit the parameter space of the LRSM, including implications for GUT embeddings.
Findings
White dwarf data constrains inelastic DM with mass splitting up to 40 MeV.
Bounds from white dwarfs restrict LRSM parameters, requiring $g_R>g_L$.
Viable dark matter masses are identified in specific LRSM scenarios.
Abstract
WIMPs can be captured in compact stars such as white dwarves (WDs) leading to an increase in the star luminosity through their annihilation process. We show that when the WIMP interacts with the nuclear targets within the WD through inelastic scattering and its mass exceeds a few tens GeV the data on low-temperature large-mass WDs in the Messier 4 globular cluster can probe values of the mass splitting 40 MeV. Such value largely exceeds those ensuing from direct detection and from solar neutrino searches. We apply such improved constraint to the specific DM scenario of a self-conjugate bi-doublet in the Left-Right Symmetric Model (LRSM), where the standard group with coupling is extended by an additional with coupling . We show that bounds from WDs significantly reduce the cosmologically viable parameter space of such scenario, in…
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.
