Understand
Accurately predicting the abundance and structural evolution of dark matter subhaloes is crucial for understanding galaxy formation, modeling galaxy clustering, and constraining the nature of dark matter.
- Due to the nonlinear nature of subhalo evolution, cosmological $N$-body simulations remain its primary method of investigation.
- However, it has recently been demonstrated that such simulations are still heavily impacted by artificial disruption, diminishing the information content on small scales and reducing the reliability of all simulation-calibrated semi-analytical models.
- In this paper, we utilize the recently released DASH library of high-resolution, idealized simulations of the tidal evolution of subhaloes, which are unhindered by numerical overmerging due to discreteness noise or force softening, to calibrate an improved, more-accurate model of the evolution of the density profiles of subhaloes that undergo tidal heating and stripping within their host halo.