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 $\ell$-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 Schrödinger-Poisson (SP) system. These solutions are parametrized by an angular momentum number $\ell =(N-1)/2$ and an excitation number $n$. We perform a bayesian analysis by modifying the SimpleMC code to perform the parameter inference, for the cases with $\ell =0$, $\ell =1$ 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.

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

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Cited by in corpus (4)

• Model-independent reconstruction of the Interacting Dark Energy Kernel: Binned and Gaussian process
• Coupled Multi Scalar Field Dark Energy
• Are nonrelativistic ground state $\ell$-boson stars only stable for $\ell =0$ and $\ell =1$?
• Data-driven modeling of rotation curves with artificial neural networks