3 papers
astro-ph.GA2025
Towards Understanding the Milky Way's Matter Field and Dynamical Accretion History based on AI-GS3 Hunter
Hai-Feng Wang, Guan-Yu Wang, Giovanni Carraro +5
We present GS3 Hunter (Galactic-Seismology Substructures and Streams Hunter), a novel deep-learning method that combines Siamese Neural Networks and K-means clustering to identify…
astro-ph.GA2025
Towards Unveiling the Origins of the Milky Way Bulge through Multi-band-Messenger Sky Surveys
Hai-Feng Wang, Xiao Han, Giovanni Carraro +3
We analyze the structure and chemo-dynamical properties of the Galactic bulge using ab-type RR Lyrae stars (RRabs) from OGLE-IV and giant stars from APOGEE and Gaia. Orbital integr…
astro-ph.GA2024
The Structure, Populations and Kinematics of the Milky Way central and inner Bulge with OGLE, APOGEE and Gaia data
Xiao Han, Hai-Feng Wang, Giovanni Carraro +4
We present an analysis of the structure, kinematics, and chemo-dynamical properties of the Milky Way bulge using RR Lyrae stars from OGLE, and giant stars from APOGEE and Gaia that…