New catalogue of dark-matter halo properties identified in MICE-GC -- I. Analysis of density profile distributions
Elizabeth J. Gonzalez, Kai Hoffmann, Diego R. Garc\'ia Lambas, Enrique, Gazta\~naga, Dario Gra\~na, Pau Tallada-Cresp\'i, Jorge Carretero, M., Victoria Santucho, Pablo Fosalba, Martin Crocce, Francisco J. Castander,, Facundo Rodriguez, Mart\'in Makler

TL;DR
This paper presents a comprehensive catalogue of dark matter halo properties from the MICE-GC simulation, analyzing density profiles and shapes in 2D and 3D to improve weak lensing mass estimates and understand biases.
Contribution
It provides the first detailed comparison of NFW and Einasto profile fits in 2D and 3D, highlighting biases and the superiority of the Einasto model for halo characterization.
Findings
Einasto profiles fit halo density better than NFW.
Biases exist in mass and concentration estimates from 2D and 3D fits.
Biases depend on fitting range and profile model, not halo shape.
Abstract
Constraints on dark matter halo masses from weak gravitational lensing can be improved significantly by using additional information about the morphology of their density distribution, leading to tighter cosmological constraints derived from the halo mass function. This work is the first of two in which we investigate the accuracy of halo morphology and mass measurements in 2D and 3D. To this end, we determine several halo physical properties in the MICE-Grand Challenge dark matter only simulation. We present a public catalogue of these properties that includes density profiles and shape parameters measured in 2D and 3D, the halo centre at the peak of the 3D density distribution as well as the gravitational and kinetic energies and angular momentum vectors. The density profiles are computed using spherical and ellipsoidal radial bins, taking into account the halo shapes. We also provide…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
