A novel Cherenkov radiation constraint for hybrid MOND dark matter models
Tobias Mistele

TL;DR
This paper derives new constraints on hybrid MOND dark matter models by analyzing gravitational Cherenkov radiation, ruling out some parameter spaces for superfluid dark matter but not for other variants.
Contribution
It introduces a method to constrain hybrid MOND dark matter models using Cherenkov radiation energy loss calculations, focusing on the models' MOND regime behavior.
Findings
Renders part of superfluid dark matter parameter space incompatible with Cherenkov constraints.
Finds no constraints on two-field SFDM due to suppressed matter coupling.
No constraints on Skordis and Z{ }ośnik's model because of suppressed matter coupling in non-static situations.
Abstract
Modified gravity models often contain modes that couple to normal matter and propagate with slightly less than the speed of light. High-energy cosmic rays then lose energy due to Cherenkov radiation, which constrains such models. This is also true for some MOND (Modified Newtonian Dynamics) models. However, these constraints are difficult to make precise because MOND is inherently non-linear and because the results may depend on the specific high-acceleration behavior of these models, i.e. the behavior outside the MOND regime. Recently, various hybrid MOND dark matter models were proposed, where cold dark matter (CDM) phenomenology on cosmological scales and MOND phenomenology on galactic scales share a common origin. Such models typically contain a mode that is directly coupled to matter (for MOND), but with non-relativistic sound speed (for CDM). Thus, even non-relativistic objects…
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 · Cosmology and Gravitation Theories · Computational Physics and Python Applications
