Modelling mass distribution in elliptical galaxies: mass profiles and their correlation with velocity dispersion profiles
Kyu-Hyun Chae, Mariangela Bernardi, Andrey V. Kravtsov

TL;DR
This study develops detailed mass models for nearly spherical elliptical galaxies, revealing a strong correlation between mass density and velocity dispersion profiles, and emphasizing the importance of dark matter in shaping these profiles.
Contribution
It introduces a comprehensive set of two-component mass models that accurately reproduce observed velocity dispersion profiles and uncover a tight correlation between mass density and velocity dispersion slopes.
Findings
Two-component models match observed VP slopes within R_eff.
A tight correlation exists between mass density slope and velocity dispersion slope.
Total mass profiles likely have a curvature pattern influenced by dark matter.
Abstract
We assemble a statistical set of global mass models for ~2,000 nearly spherical SDSS galaxies at a mean redshift of 0.12 based on their aperture velocity dispersions and newly derived luminosity profiles in conjunction with published velocity dispersion profiles and empirical properties and relations of galaxy and halo parameters. When two-component (i.e. stellar plus dark) mass models are fitted to the SDSS aperture velocity dispersions, the predicted velocity dispersion profile (VP) slopes within the effective radius R_eff match well the distribution in observed elliptical galaxies. In contrast, the single-component models cannot reproduce the VP slope distribution. From a number of input variations the models exhibit for the radial range 0.1 R_eff < r < R_eff a tight correlation <gamma_e>=(1.865+/-0.008)+(-4.93+/-0.15)<eta> where <gamma_e> is the mean slope absolute value of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
