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HOP: A New Group-Finding Algorithm for N-body Simulations | | Daniel J. Eisenstein
; Piet Hut
; | | Date: |
16 Dec 1997 | | Subject: | astro-ph | | Affiliation: | IAS, Princeton | | Abstract: | We describe a new method (HOP) for identifying groups of particles in N-body simulations. Having assigned to every particle an estimate of its local density, we associate each particle with the densest of the N_hop particles nearest to it. Repeating this process allows us to trace a path, within the particle set itself, from each particle in the direction of increasing density. The path ends when it reaches a particle that is its own densest neighbor; all particles reaching the same such particle are identified as a group. Combined with an adaptive smoothing kernel for finding the densities, this method is spatially adaptive, coordinate-free, and numerically straight-forward. One can proceed to process the output by truncating groups at a particular density contour and combining groups that share a (possibly different) density contour. While the resulting algorithm has several user-chosen parameters, we show that the results are insensitive to most of these, the exception being the outer density cutoff of the groups. | | Source: | arXiv, astro-ph/9712200 | | Services: | Forum | Review | PDF | Favorites | |
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