44 citations · 99 across the 7 of their papers we have counts for
7 papers
HiFAST: An HI Data Calibration and Imaging Pipeline for FAST III. Standing Wave Removal
Chen Xu, Jie Wang, Yingjie Jing +13
The standing waves existed in radio telescope data are primarily due to reflections among the instruments, which significantly impact the spectrum quality of the Five-hundred-meter…
Half a Million Binary Stars from the low resolution spectra of LAMOST
Yingjie Jing, Tian-Xiang Mao, Jie Wang +2
Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra ob…
HiFAST: an HI data calibration and imaging pipeline for FAST
Yingjie Jing, Jie Wang, Chen Xu +30
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) has the largest aperture and a 19-beam L-band receiver, making it powerful for investigating the neutral hydrogen a…
Bar-driven Gas Dynamics of M31
Zi-Xuan Feng, Zhi Li, Juntai Shen +5
The large-scale gaseous shocks in the bulge of M31 can be naturally explained by a rotating stellar bar. We use gas dynamical models to provide an independent measurement of the ba…
Neutral Hydrogen content of dwarf galaxies in different environments
Hui-Jie Hu, Qi Guo, Pablo Renard +5
Environments play an important role in galaxy formation and evolution, particularly in regulating the content of neutral gas. However, current HI surveys have limitations in their…
The Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network
Bo Zhang, Ying-Jie Jing, Fan Yang +13
We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra…