Bayesian analysis for rotational curves with $\ell$-boson stars as a dark matter component
Abstract
Using Low Brightness Surface Galaxies (LBSG) rotational curves we inferred the free parameters of -boson stars as a dark matter component. The -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 and an excitation number . We perform a bayesian analysis by modifying the SimpleMC code to perform the parameter inference, for the cases with , and multi-states of -boson stars. We used the Akaike information criterion (AIC), Bayesian information criterion and the Bayes factor to compare the excited state (=1) and the multi-state case with the ground state (=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