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Journal Article | PUBDB-2022-02948 |
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2022
Oxford Univ. Press
Oxford
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Please use a persistent id in citations: doi:10.1093/mnras/stac2207 doi:10.3204/PUBDB-2022-02948
Report No.: DESY-22-072; arXiv:2205.02243
Abstract: Dark matter (DM) with self-interactions is a promising solution for the small-scale problems of the standard cosmological model. Here we perform the first cosmological simulation of frequent DM self-interactions, corresponding to small-angle DM scatterings. The focus of our analysis lies in finding and understanding differences to the traditionally assumed rare DM (large-angle) self-scatterings. For this purpose, we compute the distribution of DM densities, the matter power spectrum, the two-point correlation function, and the halo and subhalo mass functions. Furthermore, we investigate the density profiles of the DM haloes and their shapes. We find that overall large-angle and small-angle scatterings behave fairly similarly with a few exceptions. In particular, the number of satellites is considerably suppressed for frequent compared to rare self-interactions with the same cross-section. Overall, we observe that while differences between the two cases may be difficult to establish using a single measure, the degeneracy may be broken through a combination of multiple ones. For instance, the combination of satellite counts with halo density or shape profiles could allow discriminating between rare and frequent self-interactions. As a by-product of our analysis, we provide – for the first time – upper limits on the cross-section for frequent self-interactions.
Keyword(s): dark matter: density ; scattering: small-angle ; dark matter: halo ; matter: power spectrum ; dark matter: scattering ; halo: density ; satellite ; wide-angle ; correlation function ; suppression ; cosmological model ; dark matter: interaction ; self-force ; two-point function ; numerical calculations ; astroparticle physics ; methods: numerical ; galaxies: haloes ; dark matter
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Cosmological simulations with rare and frequent dark matter self-interactions
[10.3204/PUBDB-2022-01926]
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