Cosmological N‐Body Simulations

@article{Bertschinger1991CosmologicalNS,
  title={Cosmological N‐Body Simulations},
  author={Edmund Bertschinger and James M. Gelb},
  journal={Computers in Physics},
  year={1991},
  volume={5},
  pages={164-179}
}
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141 Citations
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26
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57
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141 Citations

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Dependence of the inner dark matter profile on the halo mass
I compare the density profile of dark matter (DM) haloes in cold dark matter (CDM) N-body simulations with 1, 32, 256 and 1024 h - 1 Mpc box sizes. I compare the profiles when the most massive haloes…
PHEW: a parallel segmentation algorithm for three-dimensional AMR datasets
We introduce phew (Parallel HiErarchical Watershed), a new segmentation algorithm to detect structures in astrophysical fluid simulations, and its implementation into the adaptive mesh refinement…
The overdensity and masses of the friends-of-friends halos and universality of halo mass function
The friends-of-friends algorithm (hereafter FOF) is a percolation algorithm which is routinely used to identify dark matter halos from N-body simulations. We use results from percolation theory to…
Fast identification of bound structures in large N-body simulations
TLDR
An algorithm that is designed to allow the efficient identification and preliminary dynamical analysis of thousands of structures and substructures in large N-body simulations is presented, utilizing a refined density gradient system to identify the structures and an iterative approximate method to identify unbound particles, allowing fast calculation of bound substructure.
The evolution of substructure - I. A new identification method
We describe our new 'MLAPM halo finder' (MHF), which is based on the adaptive grid structure of the N-body code MLAPM. We then extend the MHF code in order to track the orbital evolution of…
HOP: A New group finding algorithm for N body simulations
TLDR
While the resulting algorithm has several user-chosen parameters, it is shown that the results are insensitive to most of these, the exception being the outer density cutoff of the groups.
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