Exploring the GalMer database: bar properties and non-circular motions
T. H. Randriamampandry, N. Deg, C. Carignan, F. Combes, K. Spekkens

TL;DR
This study uses simulations from the GalMer database to analyze how bar structures in galaxies induce non-circular motions, affecting the accuracy of observed rotation curves and the methods used to derive galaxy properties.
Contribution
It compares intrinsic velocities from simulations with those obtained through observational algorithms, highlighting biases and limitations in current methods for analyzing barred galaxy kinematics.
Findings
The ROTCUR method underestimates or overestimates velocities by up to 40% in the inner galaxy regions.
DiskFit produces unrealistic results when the bar is near the galaxy's major or minor axis.
Simulations reveal significant biases in common observational techniques for barred galaxy rotation curves.
Abstract
We use Tree-SPH simulations from the GalMer database by Chilingarian et al. to characterize and quantify the non-circular motions induced by the presence of bar-like structures on the observed rotation curve of barred galaxies derived from empirical models of their line-of-sight velocity maps. The GalMer database consists of SPH simulations of galaxies spanning a wide range of morphological types and sizes. The aim is to compare the intrinsic velocities and bar properties from the simulations with those derived from pseudo-observations. This allows us to estimate the amount of non-circularity and to test the various methods used to derive the bar properties and rotation curves. The intrinsic velocities in the simulations are calculated from the gravitational forces whereas the observed rotation velocities are derived by applying the ROTCUR and DiskFit algorithms to well-resolved…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
