ArXiv TLDR

An Extended Parametric Model for Self-interacting Dark Matter Halos

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2604.22013

Siddhesh Raut, Ethan Nadler, Andrew Benson

astro-ph.GA

TLDR

This paper introduces an extended parametric model for self-interacting dark matter halos, improving predictions by accounting for mass accretion effects.

Key contributions

  • Addresses overprediction of Vmax in previous SIDM halo models for field halos at z=0.
  • Proposes mass accretion delays core-collapse, driving SIDM halos towards NFW profiles.
  • Introduces an extended parametric model incorporating smooth mass accretion effects.
  • Significantly reduces prediction error for Vmax, enhancing SIDM halo evolution accuracy.

Why it matters

Understanding self-interacting dark matter (SIDM) halo evolution is crucial for cosmology. This improved model provides more accurate predictions, bridging a gap between theoretical models and cosmological simulations. It refines our understanding of dark matter distribution.

Original 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 $V_{\max}$ and $R_{\max}$, but with a tendency to overpredict $V_{\max}$ at $z=0$ 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 (as it would have in the case of cold dark matter). We find that this extended model is able to substantially reduce the error in predicted $V_{\max}$ for halos compared to the original model, providing a more accurate model of SIDM halo evolution.

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