1 citations · 2 across the 8 of their papers we have counts for
8 papers
A -like metallicity profile in the disk of the Sagittarius dwarf galaxy
Zixi Guo, Xiang-Xiang Xue, Jiang Chang +12
Unveiling the properties of the progenitors that formed the tidal structures of the Milky Way (MW) is essential for exploring the MW's assembly history. Such studies further afford…
ELUCID-DESI II. Revealing dark matter mass, tidal, and velocity (MTV) fields using galaxy group phase information
Qingyang Li, Xiaohu Yang, Wensheng Hong +24
We introduce a novel method for reconstructing the cosmic mass, tidal, and velocity (MTV) fields over the redshift range using the phase information of galaxy groups.…
Dark matter in ALFALFA galaxies: Investigating galaxy-halo connection
Meng Yang, Ling Zhu, Niankun Yu +4
This paper aims to investigate the galaxy-halo connection using a large sample of individual galaxies with integrated spectra. We determine their dark matter conten…
Detection of HI filament: Pair Stacking vs. Filament Stacking
Yuxi Meng, Jie Wang, Yingjie Jing +2
The faint 21 cm signal emitted by neutral hydrogen in cosmic filaments is expected to be detectable. However, due to its weakness, stacking techniques are required. We assessed two…
The impact of cosmic filaments on the abundance of satellite galaxies
Yuxi Meng, Haonan Zheng, Shihong Liao +9
The impact of cosmic web environments on galaxy properties plays a critical role in understanding galaxy formation. Using the state-of-the-art cosmological simulation IllustrisTNG,…
The Poisson noise in modeling the redshift-space distortion at large scales
Hongxiang Chen, Jie Wang, Baojiu Li
We investigate the errors in modeling the redshift-space distortion (RSD) effect at large linear scales, using data from the Millennium simulation. While standard theoretical templ…
A widely applicable Galaxy Group finder Using Machine Learning
Juntao Ma, Jie Wang, Tianxiang Mao +4
Galaxy groups are essential for studying the distribution of matter on a large scale in redshift surveys and for deciphering the link between galaxy traits and their associated hal…
Estimation of line-of-sight velocities of individual galaxies using neural networks I. Modelling redshift-space distortions at large scales
Hongxiang Chen, Jie Wang, Tianxiang Mao +7
We present a scheme based on artificial neural networks (ANN) to estimate the line-of-sight velocities of individual galaxies from an observed redshift-space galaxy distribution. W…