Physically motivated fit to mass surface density profiles observed in galaxies
J. Sanchez Almeida (1, 2), I. Trujillo (1, 2), A.R. Plastino (3), ((1) Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain, (2), Departamento de Astrofisica, Universidad de La Laguna, (3) CeBio y, Departamento de Ciencias Basicas

TL;DR
This study investigates whether polytropic models can accurately describe the stellar mass surface density profiles in galaxies, finding they are comparable to Sersic profiles and revealing correlations with galaxy mass.
Contribution
The paper develops a fitting code for polytropic profiles and systematically applies it to a large galaxy sample, demonstrating their effectiveness across different galaxy types and masses.
Findings
Polytropes and Sersic profiles are indistinguishable within observational errors.
Propol fits outperform Sersic profiles for low-mass galaxies (log M* < 9).
Polytropic index correlates with galaxy mass, clustering around 5.
Abstract
Polytropes have gained renewed interest because they account for several seemingly-disconnected observational properties of galaxies. Here we study if polytropes are also able to explain the stellar mass distribution within galaxies. We develop a code to fit surface density profiles using polytropes projected in the plane of the sky (propols). Sersic profiles are known to be good proxies for the global shapes of galaxies and we find that, ignoring central cores, propols and Sersic profiles are indistinguishable within observational errors (within 5 % over 5 orders of magnitude in surface density). The range of physically meaningful polytropes yields Sersic indexes between 0.4 and 6. The code has been systematically applied to ~750 galaxies with carefully measured mass density profiles and including all morphological types and stellar masses (7 < log (Mstar/Msun) < 12). The propol fits…
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