10 papers
Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance
Ling Wang, Zhu Chen, Zhijian Luo +42
Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…
LEO Satellite Track Correction for CSST Multi-Band Imaging Data
Huai-Jin Tang, Xiao-Lei Meng, Hu Zhan +5
Low Earth Orbit satellite (LEOsat) mega-constellations are considered to be an unavoidable source of contamination for survey observations to be carried out by the China Space Stat…
Impact of Large-Scale Structure along Line-of-Sight on Time-Delay Cosmography
Shijie Lin, Bin Hu, Chengliang Wei +4
Time-delay cosmography, by monitoring the multiply imaged gravitational lenses in the time domain, offers a promising and independent method for measuring cosmological distances. H…
DarkAI: Reconstructing the density, velocity and tidal field of dark matter from a DESI-like bright galaxy sample
Feng Shi, Zitong Wang, Xiaohu Yang +10
Reconstructing the mass density, velocity, and tidal (MTV) fields of dark matter from galaxy surveys is essential for advancing our understanding of the LSS of the Universe. In thi…
Modeling the impacts of galaxy intrinsic alignments on weak lensing peak statistics
Tianyu Zhang, Xiangkun Liu, Ziwei Li +5
Weak gravitational lensing (WL) peak statistics capture cosmic non-linear structures and can provide additional cosmological information complementary to cosmic shear two-point cor…
GalaxyGenius: Mock galaxy image generator for various telescopes from hydrodynamical simulations
Xingchen Zhou, Hang Yang, Nan Li +11
We introduce GalaxyGenius, a Python package designed to produce synthetic galaxy images tailored to different telescopes based on hydrodynamical simulations. Its implementation wil…