## Detalles de publicación

PP 06025

## Detailed theoretical predictions for the outskirts of dark matter halos

(1) Instituto de Astrofisica de Canarias,(2) Facultad de Fisica, Universidad de La Laguna, (3) Instituto de Astrofisica de Andalucia.

In the present work we describe the formalism necessary to derive the properties of dark matter halos beyond two virial radius using the spherical collapse model (without shell crossing), and provide the framework for the theoretical prediction presented in Prada et al. (2005). We show in detail how to obtain within this model the probability distribution for the spherically-averaged enclosed density at any radii $P(\delta,r)$. Using this probability distribution, we compute the most probable and mean density profiles, which turns 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: a first one is derived using a simple assumption, that is, if $Q$ is the virial radius in Lagrangian coordinates, then the enclosed linear contrast $\delta_{l}(q)$ must satisfy the condition that $\delta_{l}(q=Q)=\delta_{vir},$ where $\delta_{vir}$ is the linear density contrast within the virial radius $R_{vir}$ at the moment of virialization. Then we introduce an additional constraint to obtain a more accurate $P(\delta,r)$ which 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 $q>Q$, $\delta_l(q) < \delta_{vir}$.

A third probability distribution, the most accurate, is obtained imposing the strongest constraint that $\delta_{l}(q) < \delta_{vir} \quad \forall~ q > Q$, which means that there are no radii larger than $R_{vir}$ 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 mean velocity profiles with the results found in the simulations.

A third probability distribution, the most accurate, is obtained imposing the strongest constraint that $\delta_{l}(q) < \delta_{vir} \quad \forall~ q > Q$, which means that there are no radii larger than $R_{vir}$ 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 mean velocity profiles with the results found in the simulations.