Kinematical signatures: Distinguishing between warps and radial flows

TL;DR

This paper enhances the modeling of warped and radially flowing disks by extending the $ exttt{eddy}$ package, enabling accurate parameter recovery and providing criteria to distinguish between different disk kinematics.

Contribution

The study introduces an extended $ exttt{eddy}$ tool that models warped geometries and radial flows, improving the ability to differentiate between these kinematic features in disk observations.

Findings

$ exttt{eddy}$ accurately recovers disk parameters with sufficient resolution.

Fitting incorrect models produces residuals that help classify disk kinematics.

The method is robust against typical ALMA thermal noise levels.

Abstract

Increasing evidence shows that warped disks are common, challenging the methods used to model their velocity fields. Molecular line emission of these disks is characterized by a twisted pattern, similar to the signal from radial flows, complicating the study of warped disk kinematics. Previous attempts to model these features have encountered difficulties in distinguishing between the underlying kinematics of different disks. This study aims to advance gas kinematics modeling capabilities by extending the Extracting Disk Dynamics ($\texttt{eddy}$) package to include warped geometries and radial flows. We assess the performance of $\texttt{eddy}$ in recovering input parameters for scenarios involving warps, radial flows, and combinations of the two. Additionally, we provide a basis to break the visual degeneracy between warped disks and radial flow, establishing a criterion to distinguish them. We extended the $\texttt{eddy}$ package to handle warped geometries by including a parametric prescription of a warped disk and a ray-casting algorithm to account for the surface self-obscuration arising from the 3D to 2D projection. The effectiveness of the tool was tested using the radiative transfer code $\texttt{RADMC3D}$, generating synthetic models for disks with radial flows, warped disks, and warped disks with radial flows. We demonstrate the efficacy of our tool in accurately recovering the geometrical parameters of systems, particularly in data with sufficient angular resolution. Importantly, we observe minimal impact from thermal noise levels typical in Atacama Large Millimeter/submillimeter Array (ALMA) observations. Furthermore, our findings reveal that fitting an incorrect model type produces characteristic residual signatures, which serve as kinematic criteria for disk classification.