17 citations · 38 across the 16 of their papers we have counts for
16 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 offers a promising and independent method for measuring cosmological distances by monitoring multiple images of gravitationally lensed sources. However, beyo…
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…
ViT-based Local Volume dwarf galaxy Identificationin (VIDA) in the CSST survey
Han Qu, Zhen Yuan, Chengliang Wei +11
Identifying dwarf galaxies within the Local Volume is crucial for constraining the luminosity function of satellite galaxies in the nearby universe. We report the detection capabil…
The Jiutian simulations for the CSST extra-galactic surveys
Jiaxin Han, Ming Li, Wenkang Jiang +23
We provide an overview of the Jiutian simulations, a hybrid simulation suite for the China Space Survey Telescope (CSST) extragalactic surveys. It consists of four complementary mo…
Photometric Objects Around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. VIII. Revisiting the Lensing is Low Effect
Xiaolin Luo, Kun Xu, Yipeng Jing +6
The issue of over-predicting the galaxy-galaxy lensing (GGL) signal using conventional galaxy-halo connection models has become well-known as the ``Lensing is Low'' problem, which…
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…
UPdec-Webb: A Dataset for Coaddition of JWST NIRCam Images
Lei Wang, Huanyuan Shan, Lin Nie +19
We present the application of the image coaddition algorithm, Up-sampling and PSF Deconvolution Coaddition (UPDC), for stacking multiple exposure images captured by the James Webb…
Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey
Yingxiao Song, Qi Xiong, Yan Gong +10
The void power spectrum is related to the clustering of low-density regions in the large-scale structure (LSS) of the Universe, and can be used as an effective cosmological probe t…
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Xu Li, Ruiqi Sun, Jiameng Lv +29
Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…
Simulating emission line galaxies for the next generation of large-scale structure surveys
Wenxiang Pei, Qi Guo, Ming Li +8
We investigate emission line galaxies across cosmic time by combining the modified L-Galaxies semi-analytical galaxy formation model with the JiuTian cosmological simulation. We im…
CSST large-scale structure analysis pipeline: I. constructing reference mock galaxy redshift surveys
Yizhou Gu, Xiaohu Yang, Jiaxin Han +29
In this paper, we set out to construct a set of reference mock galaxy redshift surveys (MGRSs) for the future Chinese Space-station Survey Telescope (CSST) observation, where subse…
Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey
Yingxiao Song, Qi Xiong, Yan Gong +11
Void size function (VSF) contains information of the cosmic large-scale structure (LSS), and can be used to derive the properties of dark energy and dark matter. We predict the VSF…
Forklens: Accurate weak-lensing shear measurement with deep learning
Zekang Zhang, Huanyuan Shan, Nan Li +25
Weak gravitational lensing is one of the most important probes of the nature of dark matter and dark energy. In order to extract cosmological information from next-generation weak…