5 citations · 5 across the 5 of their papers we have counts for
20 papers
Quantifying Environmental Effects on Galaxy Properties using Non-spherical Voids Identified from SDSS DR7
Yingxiao Song, Xiaohu Yang, Yan Gong +4
Cosmic voids provide a distinct low-density region for studying the environmental effects of galaxy properties. Using the SDSS DR7 catalog, we identify non-spherical voids via Voro…
Lyman- forest constraints on pure and mixed fuzzy dark matter
Jianxiang Liu, Yan Gong, Xingchen Zhou
Fuzzy dark matter (FDM), often realized as an ultralight scalar field, can suppress the growth of small-scale structures and could be strictly tested with Lyman- forest measurem…
CSST large-scale structure analysis pipeline: IV. Cosmic Voids Identified from Galaxy Group Samples as Probes of the Large-scale Structure
Yingxiao Song, Xiaohu Yang, Yan Gong +16
Because groups are directly associated with halos, they allow for considerably simpler theoretical modeling than approaches based on individual galaxies. We therefore propose to us…
Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey
Xingchen Zhou, Yan Gong, Xin Zhang +4
Wide-field slitless spectroscopic galaxy surveys, such as the one performed by the upcoming Chinese Space Station Survey Telescope (CSST), are crucial for precision cosmology but p…
MUltiplexed Survey Telescope (MUST) Science White Paper I: Overview of Large-Scale Structure Cosmology in the Era of Stage-V Spectroscopic Surveys
Cheng Zhao, Song Huang, Mengfan He +41
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 tar…
Cross-Comparison of Galaxies Detected in the CSST Spectroscopic Survey and the SKA HI Survey
Yingfeng Liu, Furen Deng, Wenxiang Pei +8
We present a forward-modeling framework to forecast the galaxies detected in the Chinese Space Station Survey Telescope (CSST) spectroscopic survey and the Square Kilometre Array (…