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CLASH-VLT: The Inner Slope of the MACS J1206.2-0847 Dark Matter Density Profile
The inner slope ( γ DM ) of the dark matter (DM) density profile of cosmological halos carries information about the properties of DM and/or baryonic processes affecting the halo gravitational potential. Cold DM cosmological simulations predict steep inner slopes, γ DM ≃ 1. We test this prediction o...
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Published in: | The Astrophysical journal 2023-12, Vol.958 (2), p.148 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The inner slope (
γ
DM
) of the dark matter (DM) density profile of cosmological halos carries information about the properties of DM and/or baryonic processes affecting the halo gravitational potential. Cold DM cosmological simulations predict steep inner slopes,
γ
DM
≃ 1. We test this prediction on the MACS J1206.2-0847 cluster at redshift
z
= 0.44, whose DM density profile has been claimed to be cored at the center. We determine the cluster DM density profile from 2 kpc from the cluster center to the virial radius (∼2 Mpc), using the velocity distribution of ≃500 cluster galaxies and the internal velocity dispersion profile of the Brightest Cluster Galaxy (BCG), obtained from
VIMOS@VLT
and
MUSE@VLT
data. We solve the Jeans equation of dynamical equilibrium using an upgraded version of the MAMPOSSt method. The total mass profile is modeled as a sum of a generalized Navarro–Frenk–White profile that describes the DM component, allowing for a free inner slope of the density profile, a Jaffe profile that describes the BCG stellar mass component, and a nonparametric baryonic profile that describes the sum of the remaining galaxy stellar mass and of the hot intra-cluster gas mass. Our total mass profile is in remarkable agreement with independent determinations based on X-ray observations and strong lensing. We find
γ
DM
=
0.7
−
0.1
+
0.2
(68% confidence levels), consistent with predictions from recent Lambda cold dark matter cosmological numerical simulations. |
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ISSN: | 0004-637X 1538-4357 |
DOI: | 10.3847/1538-4357/acf832 |