VOSA: Virtual Observatory SED Analyzer. An application to the Collinder 69 open cluster

TL;DR

VOSA is a new Virtual Observatory tool that automates the derivation of physical parameters for stars in clusters like Collinder 69, streamlining analysis of large multiwavelength datasets.

Contribution

The paper introduces VOSA, a novel VO-based application that automates spectral fitting and parameter estimation for stellar populations, applied here to Collinder 69.

Findings

Derived physical parameters for ~170 candidate members.

Provided an upper limit for the age of Collinder 69.

Demonstrated efficiency of VO tools in large-scale stellar analysis.

Abstract

The physical properties of almost any kind of astronomical object can be derived by fitting synthetic spectra or photometry extracted from theoretical models to observational data. We want to develop an automatic procedure to perform this kind of fittings to a relatively large sample of members of a stellar association and apply this methodology to the case of Collinder 69. We combine the multiwavelength data of our sources and follow a work-flow to derive the physical parameters of the sources. The key step of the work-flow is performed by a new VO-tool, VOSA. All the steps in this process are done in a VO environment. We present this new tool, and provide physical parameters such as T$_{\rm eff}$, gravity, luminosity, etc. for $\sim$170 candidate members to Collinder 69, and an upper-limit for the age of this stellar association. This kind of studies of star forming regions, clusters, etc. produces a huge amount of data, very tedious to analyse using the traditional methodology. Thus, they are excellent examples where to apply the VO capabilities.