4 papers
Deep chemical tagging -- Identifying open clusters and moving groups in chemical space with graph attention networks
Lorenzo Spina, Milan Quandt Rodriguez, Laura Magrini +3
Reconstructing the formation history of the Milky Way is hindered by stellar migration, which erases kinematic birth signatures. In contrast, stellar chemical abundances remain sta…
Stellar Population Astrophysics (SPA) with the TNG: NLTE atmospheric parameters and abundances of giant stars in 33 Open Clusters
M. Dal Ponte, V. D'Orazi, A. Bragaglia +11
Open clusters serve as important tools for accurately studying the chemical evolution of the Milky Way. By combining precise chemical data from high-resolution spectra with informa…
Exploring substructures in the Milky Way halo Neural networks applied to Gaia and APOGEE DR 17
L. Berni, L. Spina, L. Magrini +3
The identification of stellar structures in the Galactic halo, including stellar streams and merger remnants, often relies on the dynamics of their constituent stars. However, this…
Kinematics of metallicity populations in Omega Centauri using Gaia Focused Product Release and Hubble Space Telescope
Nagaraj Vernekar, Sara Lucatello, Pete Kuzma +1
Context. Omega Cen is the largest known globular cluster in the Milky Way. It is also quite a complex object with a large metallicity spread and multiple stellar populations. Despi…