Using Voronoi Tessellations to identify groups in N-body Simulations

Details Using Voronoi Tessellations to identify groups in N-body Simulations Using Voronoi Tessellations to identify groups in N-body Simulations

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009rmxac..35..223g&link_type=abstract

XII Latin American IAU Regional Meeting (Eds. G. Magris, G. Bruzual, & L. Carigi) Revista Mexicana de Astronomía y Astrofísica (

Mathematics

Logic

Galaxies: Structure, Large-Scale Structure Of Universe, Methods: N-Body Simulations

Scientific paper

Here we use Voronoi tesselations to identify structures in hydrodynamical cosmological N-body simulations, that contain dark matter, gas and stars. This is an adaptive technique that allows accurate estimates of densities, and density gradients, for a non-structured distribution of points. We discuss how these estimates allow us to identify structures in the dark matter haloes, and in the stars, to identify galaxies, and how it is better than FOF or other sophisticated methods such as SubFind in some cases. The adaptive nature of the technique allow us to take large-scale gradients into account, allowing the identification of a galaxy on top of a background. The method resolves structures with multiple density profiles like spiral or irregular galaxies, and does not use any gravitational constraint to verify if structures are bound or virialized, so it is good for identifying evolving structures that are not necessarily in equilibrium.

Affiliated with

Also associated with

No associations

Rating

Using Voronoi Tessellations to identify groups in N-body Simulations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Using Voronoi Tessellations to identify groups in N-body Simulations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using Voronoi Tessellations to identify groups in N-body Simulations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1111320