Galaxy rotation curves and universal scaling relations: comparison between phenomenological and fermionic dark matter profiles

Abstract

Galaxies show different halo scaling relations such as the Radial Acceleration Relation, the Mass Discrepancy Acceleration Relation (MDAR) or the dark matter Surface Density Relation (SDR). At difference with traditional studies using phenomenological $\Lambda$CDM halos, we analyze the above relations assuming that dark matter (DM) halos are formed through a Maximum Entropy Principle (MEP) in which the fermionic (quantum) nature of the DM particles is dully accounted for. For the first time a competitive DM model based on first physical principles, such as (quantum) statistical-mechanics and thermodynamics, is tested against a large data-set of galactic observables. In particular, we compare the fermionic DM model with empirical DM profiles: the NFW model, a generalized NFW model accounting for baryonic feedback, the Einasto model and the Burkert model. For this task, we use a large sample of 120 galaxies taken from the Spitzer Photometry and Accurate Rotation Curves (SPARC) data-set, from which we infer the DM content to compare with the models. We find that the Radial Acceleration Relation and MDAR are well explained by all the models with comparable accuracy, while the fits to the individual rotation curves, in contrast, show that cored DM halos are statistically preferred with respect to the cuspy NFW profile. However, very different physical principles justify the flat inner halo slope in the most favored DM profiles: while generalized NFW or Einasto models rely on complex baryonic feedback processes, the MEP scenario involves a quasi-thermodynamic equilibrium of the DM particles.

20 pages, 12 figures. Accepted for publication in The Astrophysical Journal

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Cited by in corpus (5)

• Fermionic Dark Matter: Physics, Astrophysics, and Cosmology
• On the growth of supermassive black holes formed from the gravitational collapse of fermionic dark matter cores
• Galaxy Rotation Curve Fitting Using Machine Learning Tools
• Accretion discs onto supermassive compact objects: a portal to dark matter physics in active galaxies
• Rotation curves and dynamical masses of MaNGA barred galaxies