# A novel JEAnS analysis of the Fornax dwarf using evolutionary   algorithms: mass follows light with signs of an off-centre merger

**Authors:** Foivos I. Diakogiannis (1), Geraint F. Lewis (2), Rodrigo A. Ibata, (3), Magda Guglielmo (2), Prajwal R. Kafle (1), Mark I. Wilkinson (4) and, Chris Power (1) ((1) International Center for Radio Astronomy Research,, University of Western Australia, (2) Sydney Institute for Astronomy,, University of Sydney, (3) Observatoire Astronomique, Universit\'e de, Strasbourg, (4) Department of Physics, Astronomy, University of Leicester)

arXiv: 1705.05724 · 2017-07-26

## TL;DR

This paper introduces a new evolutionary algorithm-based method for non-parametric mass modeling of dwarf galaxies, effectively reducing the mass-velocity anisotropy degeneracy and applied successfully to the Fornax galaxy.

## Contribution

It presents a novel evolutionary algorithm approach for non-parametric mass modeling that minimizes degeneracy issues in dwarf galaxy analysis.

## Key findings

- Favors a mass-follows-light model for Fornax.
- Finds tangential anisotropy in Fornax's velocity profile.
- Estimates total mass and mass-to-light ratio of Fornax.

## Abstract

Dwarf galaxies, among the most dark matter dominated structures of our universe, are excellent test-beds for dark matter theories. Unfortunately, mass modelling of these systems suffers from the well documented mass-velocity anisotropy degeneracy. For the case of spherically symmetric systems, we describe a method for non-parametric modelling of the radial and tangential velocity moments. The method is a numerical velocity anisotropy "inversion", with parametric mass models, where the radial velocity dispersion profile, $\sigma_{\mathrm{rr}}^2$ is modeled as a B-spline, and the optimization is a three step process that consists of: (i) an Evolutionary modelling to determine the mass model form and the best B-spline basis to represent $\sigma_{\mathrm{rr}}^2$; (ii) an optimization of the smoothing parameters; (iii) a Markov chain Monte Carlo analysis to determine the physical parameters. The mass-anisotropy degeneracy is reduced into mass model inference, irrespective of kinematics. We test our method using synthetic data. Our algorithm constructs the best kinematic profile and discriminates between competing dark matter models. We apply our method to the Fornax dwarf spheroidal galaxy. Using a King brightness profile and testing various dark matter mass models, our model inference favours a simple mass-follows-light system. We find that the anisotropy profile of Fornax is tangential ($\beta(r) < 0$) and we estimate a total mass of $M_{\text{tot}} = 1.613 ^{+0.050}_{-0.075} \times 10^8 \, \text{M}_{\odot}$, and a mass-to-light ratio of $\Upsilon_V = 8.93 ^{+0.32}_{-0.47} \, (\text{M}_{\odot}/\text{L}_{\odot})$. The algorithm we present is a robust and computationally inexpensive method for non-parametric modelling of spherical clusters independent of the mass-anisotropy degeneracy.

## Full text

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## Figures

17 figures with captions in the complete paper: https://tomesphere.com/paper/1705.05724/full.md

## References

73 references — full list in the complete paper: https://tomesphere.com/paper/1705.05724/full.md

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Source: https://tomesphere.com/paper/1705.05724