TL;DR
This paper introduces FAT, an automated 3D tilted-ring fitting method for HI data cubes, enabling efficient kinematic modeling of thousands of galaxies in upcoming large-scale surveys.
Contribution
The paper presents FAT, a fully automated, accurate 3D tilted-ring modeling tool based on TiRiFiC, suitable for large HI surveys like SKA, improving over existing 2D methods.
Findings
FAT accurately models well-resolved galaxy kinematics without priors.
Velocity fields alone are insufficient for inclination determination in marginally resolved galaxies.
FAT can be automated for large datasets, facilitating future HI survey analyses.
Abstract
Kinematical parameterisations of disc galaxies, employing emission line observations, are indispensable tools for studying the formation and evolution of galaxies. Future large-scale HI surveys will resolve the discs of many thousands of galaxies, allowing a statistical analysis of their disc and halo kinematics, mass distribution and dark matter content. Here we present an automated procedure which fits tilted-ring models to Hi data cubes of individual, well-resolved galaxies. The method builds on the 3D Tilted Ring Fitting Code (TiRiFiC) and is called FAT (Fully Automated TiRiFiC). To assess the accuracy of the code we apply it to a set of 52 artificial galaxies and 25 real galaxies from the Local Volume HI Survey (LVHIS). Using LVHIS data, we compare our 3D modelling to the 2D modelling methods DiskFit and rotcur. A conservative result is that FAT accurately models the kinematics and…
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