activity
20232026
most citedGalactic-Seismology Substructures and Streams Hunter with LAMOST and Gaia. I. Methodology and Local Halo Results

2 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.GA2026

A More Complex Than Expected Formation History of the Milky Way's Last Major Merger

Hai-Feng Wang, Guan-Yu Wang, Giovanni Carraro +3

The GaiaSausageEnceladus (GSE) structure, widely recognized as the most recent major accretion event experienced by our Galaxy, is traditionally interpreted as the remnant of…

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…

astro-ph.GA2024★ 2 cited

Galactic-Seismology Substructures and Streams Hunter with LAMOST and Gaia. I. Methodology and Local Halo Results

Guan-Yu Wang, Hai-Feng Wang, Yang-Ping Luo +4

We present a novel, deep-learning based method -- dubbed Galactic-Seismology Substructures and Streams Hunter, or GS Hunter for short, to search for substructures and streams…

astro-ph.SR2023★ 2 cited

Age Determination of LAMOST Red Giant Branch stars based on the Gradient Boosting Decision Tree method

Hai-Feng Wang, Giovanni Carraro, Xin Li +5

In this study we estimate the stellar ages of LAMOST DR8 Red Giant Branch (RGB) stars based on the Gradient Boosting Decision Tree algorithm (GBDT). We used 2,643 RGB stars extract…

astro-ph.GA2023★ 2 cited

Asymmetric Drift Map of the Milky Way disk Populations between 816 kpc with LAMOST and Gaia datasets

Xin Li, Peng Yang, Hai-Feng Wang +4

The application of asymmetric drift (AD) tomography across different populations provides valuable insights into the kinematics, dynamics, and rotation curves of the Galactic disk.…