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arxiv: 1504.04307 · v1 · pith:MU2PVH7Rnew · submitted 2015-04-16 · 🌌 astro-ph.IM · astro-ph.GA

Voronoi Tessellation and Non-parametric Halo Concentration

classification 🌌 astro-ph.IM astro-ph.GA
keywords concentrationhalohalosnon-parametricsphericaltesseractsubstructureassume
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We present and test TesseRACt, a non-parametric technique for recovering the concentration of simulated dark matter halos using Voronoi tessellation. TesseRACt is tested on idealized N-body halos that are axisymmetric, triaxial, and contain substructure and compared to traditional least-squares fitting as well as two non-parametric techniques that assume spherical symmetry. TesseRACt recovers halo concentrations within 0.3% of the true value regardless of whether the halo is spherical, axisymmetric, or triaxial. Traditional fitting and non-parametric techniques that assume spherical symmetry can return concentrations that are systematically off by as much as 10% from the true value for non-spherical halos. TesseRACt also performs significantly better when there is substructure present outside $0.5R_{200}$. Given that cosmological halos are rarely spherical and often contain substructure, we discuss implications for studies of halo concentration in cosmological N-body simulations including how choice of technique for measuring concentration might bias scaling relations.

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