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Modelling mass distribution in elliptical galaxies: mass profiles and their correlation with velocity dispersion profiles

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arxiv 1305.5471 v4 pith:IXYL4K3V submitted 2013-05-23 astro-ph.CO

classification astro-ph.CO
keywords massvelocityprofiledispersionmodelsslopegalaxiesprofiles
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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 total mass density and <eta> is the mean slope of the velocity dispersion profile, which leads to a super-isothermal <gamma_e> = 2.15+/-0.04 for <eta>=-0.058+/-0.008 in observed elliptical galaxies. Furthermore, the successful two-component models appear to imply a typical slope curvature pattern in the total mass profile because for the observed steep luminosity (stellar mass) profile and the weak lensing inferred halo profile at large radii a total mass profile with monotonically varying slope would require too high DM density in the optical region giving rise to too large aperture velocity dispersion and too shallow VP.

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  1. From Matter Density to Deflection Angle and Gravitational Lensing Using a Perturbative Method

    gr-qc 2025-02 accept novelty 6.0 of 10

    A perturbative scheme connects any static spherical density profile to gravitational deflection angles and lensed image positions through the Tolman-Oppenheimer-Volkoff equations.

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