Statistical mechanics of collisionless orbits. IV. Distribution of angular momentum

9Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

It has been shown in previous work that DARKexp, which is a theoretically derived, maximum entropy, one shape parameter model for isotropic collisionless systems, provides very good fits to simulated and observed dark matter halos. Specifically, it fits the energy distribution, N(E), and the density profiles, including the central cusp. Here, we extend DARKexp N(E) to include the distribution in angular momentum, L 2, for spherically symmetric systems. First, we argue, based on theoretical, semi-analytical, and simulation results, that while dark matter halos are relaxed in energy, they are not nearly as relaxed in angular momentum, which precludes using maximum entropy to uniquely derive N(E, L 2). Instead, we require that when integrating N(E, L 2) over squared angular momenta one retrieves the DARKexp N(E). Starting with a general expression for N(E, L 2) we show how the distribution of particles in L 2 is related to the shape of the velocity distribution function, VDF, and velocity anisotropy profile, β(r). We then demonstrate that astrophysically realistic halos, as judged by the VDF shape and β(r), must have linear or convex distributions in L 2, for each separate energy bin. The distribution in energy of the most bound particles must be nearly flat, and become more tilted in favor of radial orbits for less bound particles. These results are consistent with numerical simulations and represent an important step toward deriving the full distribution function for spherically symmetric dark matter halos. © 2014. The American Astronomical Society. All rights reserved..

Author supplied keywords

Cite

CITATION STYLE

APA

Williams, L. L. R., Hjorth, J., & Wojtak, R. (2014). Statistical mechanics of collisionless orbits. IV. Distribution of angular momentum. Astrophysical Journal, 783(1). https://doi.org/10.1088/0004-637X/783/1/13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free