Mass reconstruction in disc like galaxies using strong lensing and rotation curves: The Gallenspy package

TL;DR

This paper introduces Gallenspy and Galrotpy, two Python routines for reconstructing galaxy mass profiles using rotation curves and gravitational lensing, demonstrating their effectiveness on specific galaxy systems.

Contribution

The work presents Gallenspy, a new Python routine for gravitational lensing analysis, and combines it with Galrotpy for integrated galaxy mass profile reconstruction.

Findings

Successful mass profile reconstructions for two galaxies.

Validation of methods against existing results.

Demonstration of combined dynamical and lensing analysis.

Abstract

Two methods for mass profiles reconstruction in disc-like galaxies are presented in this work, the first is done with the fit of the rotation curve based on the data of circular velocity which are obtained observationally in a stars system, while the other method is focused in the Gravitational Lensed Effect (GLE). For these mass reconstructions, two routines developed in the language of programming python were used: one of them is Galrotpy, which was built by members of the Galaxies, Gravitation and Cosmology group from the Observatorio Astron\'omico Nacional of the Universidad Nacional de Colombia and whose funtionality is applied in the rotation curves, the other routine is Gallenspy which was created in the development of this work and it is focused in the GLE. It should be noted that both routines perform a parametric estimation from the Bayesian statistics, which allows obtaining the uncertainties of the estimated values. Finally is shown the great power of combining galactic dynamics and GLE, for this purpose the mass profiles of the galaxies SDSSJ2141-001 and SDSSJ1331+3628 were reconstructed with Galrotpy and Gallenspy where these results obtained are compared with those reported by other authors regarding these systems. Keywords: Mass reconstructions, GLE, rotational curves, mass profiles, Gallenspy, Galrotpy.