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Bounds on Velocity-dependent Dark Matter–Proton Scattering from Milky Way Satellite Abundance

Karime Maamari, Vera Gluscevic, Kimberly K. Boddy, Ethan O. Nadler, Risa H. Wechsler

2021The Astrophysical Journal Letters51 citationsDOIOpen Access PDF

Abstract

Abstract We use the latest measurements of the Milky Way satellite population from the Dark Energy Survey and Pan-STARRS1 to infer the most stringent astrophysical bound to date on velocity-dependent interactions between dark matter particles and protons. We model the momentum-transfer cross section as a power law of the relative particle velocity v with a free normalizing amplitude, σ MT = σ 0 v n , to broadly capture the interactions arising within the nonrelativistic effective theory of dark matter–proton scattering. The scattering leads to a momentum and heat transfer between the baryon and dark matter fluids in the early universe, ultimately erasing structure on small physical scales and reducing the abundance of low-mass halos that host dwarf galaxies today. From the consistency of observations with the cold collisionless dark matter paradigm, using a new method that relies on the most robust predictions of the linear perturbation theory, we infer an upper limit on σ 0 of 1.4 × 10 −23 , 2.1 × 10 −19 , and 1.0 × 10 −12 cm 2 , for interaction models with n = 2, 4, and 6, respectively, for a dark matter particle mass of 10 MeV. These results improve observational limits on dark matter–proton scattering by orders of magnitude and thus provide an important guide for viable sub-GeV dark matter candidates.

Topics & Concepts

PhysicsDark matterMilky WayAstrophysicsScalar field dark matterDark matter haloDwarf galaxy problemCold dark matterDark energyPopulationGalaxyHaloHot dark matterDark fluidWarm dark matterLight dark matterAstronomyScatteringWeakly interacting massive particlesDwarf galaxyBaryonPerturbation (astronomy)Satellite galaxyLocal GroupMixed dark matterDark Matter and Cosmic PhenomenaGalaxies: Formation, Evolution, PhenomenaAstronomy and Astrophysical Research
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