43 citations · 130 across the 10 of their papers we have counts for
16 papers
Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey
Minglin Wang, Yan Gong, Furen Deng +3
Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurem…
Forecasting the BAO Measurements of the CSST galaxy and AGN Spectroscopic Surveys
Haitao Miao, Yan Gong, Xuelei Chen +3
The spectroscopic survey of China's Space Survey Telescope (CSST) is expected to obtain a huge number of slitless spectra, including more than one hundred million galaxy spectra an…
Cosmological Constraint Precision of the Photometric and Spectroscopic Multi-probe Surveys of China Space Station Telescope (CSST)
Haitao Miao, Yan Gong, Xuelei Chen +3
As one of Stage IV space-based telescopes, China Space Station Telescope (CSST) can perform photometric and spectroscopic surveys simultaneously to efficiently explore the Universe…
Cosmological constraints from the density gradient weighted correlation function
Xiaoyuan Xiao, Yizhao Yang, Xiaolin Luo +8
The mark weighted correlation function (MCF) is a computationally efficient statistical measure which can probe clustering information beyond that of the conventional 2-po…
Self-calibrating interloper bias in spectroscopic galaxy clustering surveys
Yan Gong, Haitao Miao, Pengjie Zhang +1
Contamination of interloper galaxies due to misidentified emission lines can be a big issue in the spectroscopic galaxy clustering surveys, especially in future high-precision obse…
Cosmic Velocity Field Reconstruction Using AI
Ziyong Wu, Zhenyu Zhang, Shuyang Pan +6
We develop a deep learning technique to infer the non-linear velocity field from the dark matter density field. The deep learning architecture we use is an "U-net" style convolutio…