2026/02/02 by Milan Quandt-Rodriguez, Sara Lucatello, Lorenzo Spina +2 · 1 voice
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics and Star Formation Studies #Stellar, planetary, and galactic studies #astro-ph.GA
paper · pdf · doi:10.1051/0004-6361/202558026
openalex created_date 2026/02/06 · openalex publication_date 2026/02/17 · openalex updated_date 2026/07/28
Aims. Recent studies suggest that chemical abundances hold the key to disentangling halo substructures, providing a more reliable tracer than dynamics alone. We aim to probe the Milky Way stellar halo using high-dimensional chemical abundances from GALAH DR4. By leveraging multiple nucleosynthesis channels in synergy with integrals of motion (IoM), we extract information hidden in the raw abundance space to perform chemical tagging. Methods. With a graph attention autoencoder, we reconstructed a dynamics-informed, denoised chemical space and identified coherent stellar substructures by applying ensemble clustering. Results. Our method successfully recovers the three largest globular clusters hidden in the dataset, estimates the in situ fraction to be approximately 41%, and chemically characterizes several dynamical halo substructures. Strikingly, stars dynamically associated with Gaia-Sausage-Enceladus (GSE) separate into two chemically distinct clusters. By examining their abundances, energy ( E ), and angular momentum ( L z ) distributions, together with the metallicity trend with E , we connect these clusters to their birthplace within the progenitor by proposing a simple infall scenario: one cluster traces the metal-poor, less evolved outskirts, while the other traces the metal-rich, chemically evolved core. Conclusions. These findings support the picture of GSE as a massive disk galaxy with a noticeable negative metallicity gradient. Moreover, selecting potential GSE members based on their chemical properties rather than solely on their dynamics naturally expands the membership to stars spanning a wider range of IoM.