13 papers
Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey
Minglin Wang, Yan Gong, Dejia Zhou +1
We study supernova (SN) classification using the Recurrent Neural Networks (RNNs) within the Chinese Space-station Survey Telescope Ultra-Deep Field (CSST-UDF) photometric survey a…
Probing Baryonic Feedback Effect with CSST Weak Lensing and Future FRB Measurements
Shuai Feng, Yan Gong, Qi Xiong +4
We explore the joint probe on the baryonic feedback effect using the weak lensing measurement from the upcoming Chinese Space-station Survey Telescope (CSST) photometric survey and…
Exploring Primordial Non-Gaussianity Measurements in the CSST Spectroscopic Survey
Jiangnan Duan, Yan Gong, Qi Xiong +5
Primordial non-Gaussianity (PNG) is a fundamental probe of the physics of the early Universe and inflation. Here we present a comprehensive study of the constraints on the local-ty…
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…
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 (…
Constraining Lyman-Werner Feedback from Velocity Acoustic Oscillations in the Cosmic Dawn 21 cm Signal
Xi Du, Bin Yue, Furen Deng +4
During Cosmic Dawn, Pop III stars could be formed in minihalos through molecular hydrogen (H) cooling. The minimum halo mass required for H cooling is highly sensitive to L…