Characterizing the velocity field in hydrodynamical simulations of low-mass star formation using spectral line profiles

TL;DR

This study demonstrates that spectral line profiles from hydrodynamical simulations can effectively reveal the velocity structure in low-mass star formation, aiding in age estimation of young stellar objects.

Contribution

It introduces a method to extract velocity field information from spectral lines by comparing hydrodynamical models with parameterized fits, improving dynamical characterization.

Findings

Spectral line fitting can reliably recover velocity fields.

Combining single-dish and interferometric data enhances accuracy.

Method allows age estimation of young stellar objects.

Abstract

When low-mass stars form, the collapsing cloud of gas and dust goes through several stages which are usually characterized by the shape of their spectral energy distributions. Such classification is based on the cloud morphology only and does not address the dynamical state of the object. In this paper we investigate the initial cloud collapse and subsequent disk formation through the dynamical behavior as reflected in the sub-millimeter spectral emission line profiles. If a young stellar object is to be characterized by its dynamical structure it is important to know how accurately information about the velocity field can be extracted and which observables provide the best description of the kinematics. Of particular interest is the transition from infalling envelope to rotating disk, because this provides the initial conditions for the protoplanetary disk, such as mass and size. We use a hydrodynamical model, describing the collapse of a core and formation of a disk, to produce synthetic observables which we compare to calculated line profiles of a simple parameterized model. Because we know the velocity field from the hydrodynamical simulation we can determine in a quantitative way how well our best-fit parameterized velocity field reproduces the original. We use a molecular line excitation and radiation transfer code to produce spectra of both our hydro dynamical simulation as well as our parameterized model. We find that information about the velocity field can reasonably well be derived by fitting a simple model to either single-dish lines or interferometric data, but preferentially by using a combination of the two. Our result shows that it is possible to establish relative ages of a sample of young stellar objects using this method, independently of the details of the hydrodynamical model.