10 papers
Reconstructing the Stripping History of the Sagittarius Stream with Neural Networks
Jian Zhang, Cuihua Du, Mingji Deng +2
The Sagittarius (Sgr) Stream is produced by the ongoing disruption of the Sgr dwarf spheroidal (dSph) galaxy and is thought to contain multiple wraps that were stripped during diff…
Revisiting candidate high-velocity stars associated with the Sagittarius dwarf spheroidal galaxy
Jian Zhang, Cuihua Du, Mingji Deng +2
Hypervelocity stars (HVSs) are valuable tracers of extreme dynamical processes. The Sagittarius dwarf spheroidal galaxy (Sgr dSph), currently undergoing tidal disruption, offers a…
Chemical Properties and Sagittarius-induced Dynamical Perturbations of the GD-1 Stream
Haoyang Liu, Cuihua Du
In this study, we investigate the chemical properties of the GD-1 stream using cross-matched, data-driven elemental abundances. The results reveal no clear -knee in the [Mg/Fe]…
A Low-mass Model of The Milky Way: The Disk Warp Resulting from A Galaxy Merger
Mingji Deng, Cuihua Du, Jian Zhang +2
Previous studies have shown that disk warps can result from galaxy mergers. Recent research indicates a noticeable decline in the rotation curve (RC) of the Milky Way (MW), suggest…
Kinematic, Elemental and Structural Dependences on Metallicity in the Galactic Bulge
Haoyang Liu, Cuihua Du, Zhongcheng Li +2
We selected Bulge stars from APOGEE DR17 cross-matched with astrometric data from \textit{Gaia} DR3. Bulge stars were divided into sub-samples with line-of-sight velocity dispersio…
CNN-Derived Elemental Abundances of LAMOST DR10 Giants: Implications for Galactic Substructures
Haoyang Liu, Cuihua Du, Mingji Deng +1
Stellar parameters and abundances provide crucial insights into stellar and Galactic evolution studies. In this work, we developed a convolutional neural network (CNN) to estimate…