Galactic Rotation Curves of LSB Galaxies using core-halo FDM configurations

TL;DR

This paper models galactic halos with fuzzy dark matter using multimode expansions and genetic algorithms to fit rotation curves of low surface brightness galaxies, revealing core growth and density evolution.

Contribution

It introduces a novel multimode FDM halo model with non-spherical modes and a genetic algorithm for fitting galaxy rotation curves, including dynamical evolution analysis.

Findings

FDM halos with solitonic cores and NFW or Pseudo-Isothermal envelopes fit LSB galaxy rotation curves.

The model shows secular evolution and core growth over time.

Density profiles evolve dynamically, affecting galaxy rotation predictions.

Abstract

In this work, we construct galactic halos in order to fit the rotation curves (RCs) of a sample of low surface brightness (LSB) galaxies. These halos are made of Fuzzy Dark Matter (FDM) with a multimode expansion of non-spherical modes that in average contribute to the appropriate density profile consisting of a core and an envelope needed to fit the rotation curves. The coefficients of the expansion are calculated using a genetic algorithm, that minimizes the difference between the spatial average density of the multimode order parameter describing the FDM and the target dark matter density that fits the RCs. The FDM halos are constructed assuming a solitonic core at the center and two types of envelopes, Navarro-Frenk-White and Pseudo-Isothermal density profiles. The resulting FDM configurations are then evolved in order to show how the average density changes in time due to the secular dynamical evolution, along with a condensation process that lead to the growth of the solitonic core.