8 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…
Forecasting Constraint on Primordial Black Hole Properties with the CSST pt Analysis
Dingao Hu, Yan Gong, Pengfei Su +4
This study forecasts the constraints on the properties of primordial black holes (PBHs) as a cold dark matter component using the galaxy clustering, weak lensing, and galaxy-galaxy…
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…
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 (…
Extracting Cosmological Information from Lightcone Data: A Comparison of CNNs and Summary-Statistic-Based Approaches
Min Zhiwei, Xiao Xu, Jiang Zhujun +9
Lightcone observations are the natural data format of galaxy surveys, but their evolving geometry breaks the translational symmetry assumed by standard convolutional neural network…
Introduction to the Chinese Space Station Survey Telescope (CSST)
CSST Collaboration, Yan Gong, Haitao Miao +119
The Chinese Space Station Survey Telescope (CSST) is an upcoming Stage-IV sky survey telescope, distinguished by its large field of view (FoV), high image quality, and multi-band o…