An Extended Parametric Model for Self-interacting Dark Matter Halos
Siddhesh Raut, Ethan Nadler, and Andrew Benson

TL;DR
This paper enhances a parametric model for SIDM halo evolution by incorporating mass accretion effects, leading to more accurate predictions of halo properties like $V_{max}$.
Contribution
The authors extend the existing SIDM halo evolution model to include mass accretion effects, improving its accuracy against cosmological simulations.
Findings
The extended model reduces errors in $V_{max}$ predictions.
Mass accretion delays core-collapse in SIDM halos.
The model aligns better with cosmological simulation results.
Abstract
We improve upon the parametric model for the evolution of the density profiles of self-interacting dark matter (SIDM) halos introduced in Yang et al. (2024b), by considering the effects of mass accretion on a SIDM halo's gravothermal evolution. The original parametric model accurately predicts parameters and , but with a tendency to overpredict at for a subset of field halos. This discrepancy results from the parametric model predicting a faster rate of gravothermal evolution for these field halos compared to that measured in cosmological zoom-in simulations. We propose that the effects of mass accretion on the evolution of SIDM halos are not fully captured by the original parametric model. Our extended parametric model assumes that smooth mass accretion delays core-collapse by driving the SIDM halo back toward a Navarro-Frenk-White (NFW) profile…
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.
