Dynamical substructures of local metal-poor halo

Understand

Based on 4,\,098 very metal-poor (VMP) stars with 6D phase-space and chemical information from \textit{Gaia} DR3 and LAMOST DR9 as tracers, we apply an unsupervised machine learning algorithm, Shared Nearest Neighbor (SNN), to identify stellar groups in the action-energy (\textbf{\textit{J}}-$E$) space.

• We detect seven previously known mergers in local samples, including Helmi Stream, Gaia-Sausage-Enceladus (GSE), Metal-weak Thick Disk (MWTD), Pontus, Wukong, Thamnos, and I'itoi+Sequoia+Arjuna.
• According to energy, we further divide GSE and Wukong into smaller parts to explore the orbital characteristics of individual fragments.
• Similarly, the division of Thamnos is based on action.