English

Bayesian analysis for rotational curves with $\ell$-boson stars as a dark matter component

Cosmology and Nongalactic Astrophysics 2023-10-10 v2

Abstract

Using Low Brightness Surface Galaxies (LBSG) rotational curves we inferred the free parameters of \ell-boson stars as a dark matter component. The \ell-boson stars are numerical solutions to the non-relativistic limit of the Einstein-Klein-Gordon system, the Schr\"odinger-Poisson (SP) system. These solutions are parametrized by an angular momentum number =(N1)/2\ell = (N-1)/2 and an excitation number nn. We perform a bayesian analysis by modifying the SimpleMC code to perform the parameter inference, for the cases with =0\ell = 0, =1\ell = 1 and multi-states of \ell-boson stars. We used the Akaike information criterion (AIC), Bayesian information criterion and the Bayes factor to compare the excited state (\ell=1) and the multi-state case with the ground state (\ell=0) as the base model due to its simplicity. We found that the data in most galaxies in the sample favours the multi-states case and that the scalar field mass tends to be slightly bigger than the ground state case.

Keywords

Cite

@article{arxiv.2305.01127,
  title  = {Bayesian analysis for rotational curves with $\ell$-boson stars as a dark matter component},
  author = {Atalia Navarro-Boullosa and Argelia Bernal and J. Alberto Vazquez},
  journal= {arXiv preprint arXiv:2305.01127},
  year   = {2023}
}

Comments

18 pages, 10 Figures; matches the version published in JCAP