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20212026
most citedSpectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)

29 citations · 125 across the 26 of their papers we have counts for

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Showing 2023Show all

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astro-ph.CO2023★ 1 cited

Estimating Photometric Redshift from Mock Flux for CSST Survey by using Weighted Random Forest

Junhao Lu, Zhijian Luo, Zhu Chen +10

Accurate estimation of photometric redshifts (photo-) is crucial in studies of both galaxy evolution and cosmology using current and future large sky surveys. In this study, we…

astro-ph.CO2023★ 8 cited

Cross-Correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys

Yuer Jiang, Yan Gong, Meng Zhang +6

Cross-correlating the data of neutral hydrogen (HI) 21cm intensity mapping with galaxy surveys is an effective method to extract astrophysical and cosmological information. In this…