Testing the chemical tagging technique with open clusters

TL;DR

This study assesses the effectiveness of chemical tagging in identifying stars born together by analyzing chemical abundances in open clusters, revealing limitations due to stellar evolution effects and overlaps in chemical signatures.

Contribution

It provides a comprehensive evaluation of chemical tagging viability using machine learning on open cluster data, highlighting current limitations and potential improvements.

Findings

Stars at different evolutionary stages show distinct chemical patterns.

Most open clusters have overlapping chemical signatures.

Chemical tagging has limited success in recovering co-natal stars.

Abstract

Context. Stars are born together from giant molecular clouds and, if we assume that the priors were chemically homogeneous and well-mixed, we expect them to share the same chemical composition. Most of the stellar aggregates are disrupted while orbiting the Galaxy and most of the dynamic information is lost, thus the only possibility of reconstructing the stellar formation history is to analyze the chemical abundances that we observe today. Aims. The chemical tagging technique aims to recover disrupted stellar clusters based merely on their chemical composition. We evaluate the viability of this technique to recover co-natal stars that are no longer gravitationally bound. Methods. Open clusters are co-natal aggregates that have managed to survive together. We compiled stellar spectra from 31 old and intermediate-age open clusters, homogeneously derived atmospheric parameters, and 17 abundance species, and applied machine learning algorithms to group the stars based on their chemical composition. This approach allows us to evaluate the viability and efficiency of the chemical tagging technique. Results. We found that stars at different evolutionary stages have distinct chemical patterns that may be due to NLTE effects, atomic diffusion, mixing, and biases. When separating stars into dwarfs and giants, we observed that a few open clusters show distinct chemical signatures while the majority show a high degree of overlap. This limits the recovery of co-natal aggregates by applying the chemical tagging technique. Nevertheless, there is room for improvement if more elements are included and models are improved.