An empirical isochrone archive for nearby open clusters

TL;DR

This paper introduces an empirical, observation-based method to determine star cluster ages using high-quality Gaia data, avoiding model dependencies and enabling more accurate relative age comparisons across 83 nearby clusters.

Contribution

It presents a novel approach combining PCA and support vector regression to derive empirical isochrones from observational data, improving age estimation accuracy without relying on stellar evolution models.

Findings

Empirical isochrones for 83 clusters across Gaia color combinations are provided.

The method yields accurate lower main sequence isochrones, often challenging to model.

Validation shows consistency with literature cluster ages.

Abstract

The ages of star clusters and co-moving stellar groups contain essential information about the Milky Way. Their special properties make them excellent tracers of galactic structure and key components to unlocking its star formation history. Yet, even though the importance of stellar population ages has been widely recognized, their determination remains a challenging task often associated with highly model-dependent and uncertain results. We propose a new approach to this problem, which relies on empirical isochrones of known clusters extracted from high-quality observational data. These purely observation-based data products open up the possibility of relative age determination, free of stellar evolution model assumptions. For the derivation of the empirical isochrones, we used a combination of the statistical analysis tool principal component analysis for preprocessing and the supervised machine learning method support vector regression for curve extraction. To improve the statistical reliability of our result, we defined the empirical isochrone of a color-magnitude diagram (CMD) of a cluster as the median calculated from a set of bootstrapped curves. We provide empirical isochrones in all Gaia DR2 and DR3 color combinations for 83 nearby clusters, paving the way for a relative comparison between individual stellar populations based on an age-scaling ladder of empirical isochrones of known clusters. Due to the precision of the available observational data, we report accurate lower main sequence empirical isochrones for many clusters in our sample, which are of special interest as this region is known to be especially complex to model. We validate our results by comparing the extracted empirical isochrones to cluster ages in the literature. We also investigate the added information that empirical isochrones covering the lower main sequence can provide on two case studies.