17 citations · 35 across the 8 of their papers we have counts for
6 papers · 1 filter
Environmental dependence of Type Ia supernova standardization on the local luminosity-weighted age
Yuhui Zhang, Xiangcun Meng, Jingxiao Luo +3
Context. The dependence of Type Ia supernova (SN Ia) standardised luminosity on host galaxy properties is a major source of uncertainty in cosmology. As next-generation surveys lik…
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…
Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy
Hui Peng, Yu Yu, Yiyang Guo +13
The slitless spectroscopic method employed by missions such as Euclid and the Chinese Space-station Survey Telescope (CSST) faces a fundamental challenge: spectroscopic redshifts d…
CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra
Jipeng Sui, Hu Zou, Xiaohu Yang +21
The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic s…
Cosmological distance forecasts for the CSST Galaxy Survey using BAO peaks
Feng Shi, Jieyi Tian, Zhejie Ding +21
The measurement of cosmological distances using baryon acoustic oscillations (BAO) is crucial for studying the universe's expansion. The Chinese Space Station Telescope (CSST) gala…
Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey using Deep Learning
Xingchen Zhou, Yan Gong, Xin Zhang +10
Chinese Space Station Telescope (CSST) has the capability to conduct slitless spectroscopic survey simultaneously with photometric survey. The spectroscopic survey will measure sli…