English

Self-consistent dynamical models with a finite extent -- III. Truncated power-law spheres

Astrophysics of Galaxies 2023-08-09 v1 Cosmology and Nongalactic Astrophysics Solar and Stellar Astrophysics

Abstract

Fully analytical dynamical models usually have an infinite extent, while real star clusters, galaxies, and dark matter haloes have a finite extent. The standard method for generating dynamical models with a finite extent consists of taking a model with an infinite extent and applying a truncation in binding energy. This method, however, cannot be used to generate models with a pre-set analytical mass density profile. We investigate the self-consistency and dynamical properties of a family of power-law spheres with a general tangential Cuddeford (TC) orbital structure. By varying the density power-law slope γ\gamma and the central anisotropy β0\beta_0, these models cover a wide parameter space in density and anisotropy profiles. We explicitly calculate the phase-space distribution function for various parameter combinations, and interpret our results in terms of the energy distribution of bound orbits. We find that truncated power-law spheres can be supported by a TC orbital structure if and only if γ2β0\gamma \geqslant 2\beta_0, which means that the central density slope-anisotropy inequality is both a sufficient and a necessary condition for this family. We provide closed expressions for structural and dynamical properties such as the radial and tangential velocity dispersion profiles, which can be compared against more complex numerical modelling results. This work significantly adds to the available suite of self-consistent dynamical models with a finite extent and an analytical description.

Keywords

Cite

@article{arxiv.2308.00366,
  title  = {Self-consistent dynamical models with a finite extent -- III. Truncated power-law spheres},
  author = {Maarten Baes and Bert Vander Meulen},
  journal= {arXiv preprint arXiv:2308.00366},
  year   = {2023}
}

Comments

12 pages, 4 figures, accepted for publication in MNRAS

R2 v1 2026-06-28T11:45:18.617Z