On the statistical theory of self-gravitating collisionless dark matter flow: Scale and redshift variation of velocity and density distributions
arXiv:2202.06515 · doi:10.1063/5.0236964
Abstract
This paper studies the scale and redshift variation of density and velocity distributions in self-gravitating collisionless dark matter flow by a halo-based non-projection approach. All particles are divided into halo and out-of-halo particles for redshift variation of distributions. Without projecting particle fields onto a structured grid, the scale variation is analyzed by identifying all particle pairs on different scales . We demonstrate that: i) Delaunay tessellation can be used to reconstruct the density field. The density correlation, spectrum, and dispersion functions were obtained, modeled, and compared with the N-body simulation; ii) the velocity distributions are symmetric on both small and large scales and are non-symmetric with a negative skewness on intermediate scales due to the inverse energy cascade at a constant rate ; iii) On small scales, the even order moments of pairwise velocity follow a two-thirds law , while the odd order moments follow a linear scaling ; iv) The scale variation of the velocity distributions was studied for longitudinal velocities or , pairwise velocity (velocity difference) =- and velocity sum =+. Fully developed velocity fields are never Gaussian on any scale, despite that they can initially be Gaussian; v) On small scales, and can be modeled by a distribution to maximize the system entropy; vi) On large scales, and can be modeled by a logistic or a distribution; vii) the redshift variation of the velocity distributions follows the evolution of the distribution involving a shape parameter decreasing with time.
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