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Galaxy rotation curves in modified gravity models

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arxiv 1805.11067 v3 pith:75XNZIQL submitted 2018-05-28 astro-ph.GA astro-ph.COgr-qchep-ph

classification astro-ph.GAastro-ph.COgr-qchep-ph
keywords yukawadarkgalaxygravitymatterrotationtermcurves
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abstract

In this work, we investigate the possibility that the galaxy rotation curves can be explained in the framework of modified gravity models that introduce a Yukawa term in the gravitational potential. We include dark matter and assume that the fifth-force couples differently to dark matter and to baryons. We aim at constraining the modified gravity parameters $\beta$ and $\lambda$, that is, the strength and the range of the Yukawa fifth force, respectively, using a set of 40 galaxy rotation curves data from the SPARC catalogue. We include baryonic gas, disk and bulge components, along with a NFW halo of dark matter. Each galaxy rotation curve is modeled with three free parameters, beside the two global Yukawa parameter. We find that the inclusion of the Yukawa term improves the $\chi^2$ from $680.75$ to $536.23$ for $655$ degrees of freedom. As global best-fit we obtain $\beta = 0.34\pm0.04$ and $\lambda = 5.61\pm0.91$kpc and a dark matter content on average 20\% smaller than without the Yukawa term. The Bayesian evidence in favor of a NFW profile plus Yukawa term is higher than 8$\sigma$ with respect to the standard gravity parametrization.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Learning from galactic rotation curves: a neural network approach

    astro-ph.CO 2024-12 conditional novelty 5.0 of 10

    Neural networks trained on simulated rotation curves can infer ultra-light dark matter and baryonic parameters from SPARC dwarf galaxies, with uncertainties comparable to MCMC.

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