Detailed Theoretical Predictions for the Outskirts of Dark Matter Halos

Betancort-Rijo, J. E.; Sanchez-Conde, Miguel A.; Prada, Francisco; Patiri, Santiago G.
Bibliographical reference

The Astrophysical Journal, Volume 649, Issue 2, pp. 579-590.

Advertised on:
10
2006
Number of authors
4
IAC number of authors
2
Citations
14
Refereed citations
13
Description
In the present work we describe the formalism necessary to derive the properties of dark matter halos beyond 2 virial radii using the spherical collapse model (without shell crossing) and provide the framework for the theoretical prediction presented by Prada et al. We show in detail how to obtain within this model the probability distribution for the spherically averaged enclosed density at any radius P(δ,r). Using this probability distribution, we compute the most probable and the mean density profiles, which turn out to differ considerably from each other. We also show how to obtain the typical profile, as well as the probability distribution and mean profile for the spherically averaged radial velocity. Three probability distributions are obtained: The first is derived using a simple assumption; that is, if Q is the virial radius in Lagrangian coordinates, then the enclosed linear contrast δl(q) must satisfy the condition that δl(q=Q)=δvir, where δvir is the linear density contrast within the virial radius Rvir at the moment of virialization. Then we introduce an additional constraint to obtain a more accurate P(δ,r) that reproduces to a higher degree of precision the distribution of the spherically averaged enclosed density found in the simulations. This new constraint is that, for a given q>Q, δl(q)<δvir. A third probability distribution, the most accurate, is obtained imposing the strongest constraint that δl(q)<δvir for all q>Q, which means that there are no radii larger than Rvir where the density contrast is larger than that used to define the virial radius. Finally, we compare our theoretical predictions for the mean density and the mean velocity profiles with the results found in the simulations.