Constraining self-interacting dark matter with scaling laws of observed halo surface densities
Kyrylo Bondarenko, Alexey Boyarsky, Torsten Bringmann, Anastasia, Sokolenko

TL;DR
This paper presents a novel method using observed halo surface density scaling laws across various galaxy types to constrain dark matter self-interactions, providing a more robust limit than previous individual-object analyses.
Contribution
It introduces a new approach leveraging large samples and surface density scaling laws to constrain dark matter self-interactions more robustly than prior methods.
Findings
Constraint on self-interaction cross section: σ/m_χ ≲ 0.3 cm²/g
Method demonstrated with ~50 objects across halo mass range
Potential for significant improvement with future data and modeling
Abstract
The observed surface densities of dark matter halos are known to follow a simple scaling law, ranging from dwarf galaxies to galaxy clusters, with a weak dependence on their virial mass. Here we point out that this can not only be used to provide a method to determine the standard relation between halo mass and concentration, but also to use large samples of objects in order to place constraints on dark matter self-interactions that can be more robust than constraints derived from individual objects. We demonstrate our method by considering a sample of about 50 objects distributed across the whole halo mass range, and by modelling the effect of self-interactions in a way similar to what has been previously done in the literature. Using additional input from simulations then results in a constraint on the self-interaction cross section per unit dark matter mass of about…
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.
