29 citations · 36 across the 8 of their papers we have counts for
17 papers
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…
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…
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 (…
BayeSED-GALAXIES II. Bayesian full spectrum analysis of galaxies and application in the CSST wide-field slitless spectroscopy survey
Yunkun Han, Xian Zhong Zheng, Xiaohu Yang +21
The China Space Station Telescope (CSST) will conduct wide-field multiband photometric imaging and slitless spectroscopic surveys, advancing cosmology and galaxy evolution studies.…
AI Agent for Source Finding by SoFiA-2 for SKA-SDC2
Xingchen Zhou, Nan Li, Peng Jia +7
Source extraction is crucial in analyzing data from next-generation, large-scale sky surveys in radio bands, such as the Square Kilometre Array (SKA). Several source extraction pro…
Exploring Cosmological Constraints of the Void-Lensing Cross-Correlation in the CSST Photometric Survey
Qi Xiong, Yan Gong, Junhui Yan +8
We investigate the cosmological constraints from the void-lensing cross-correlation assuming the CDM model for the Chinese Space Station Survey Telescope (CSST) photometric surv…