17 citations · 38 across the 16 of their papers we have counts for
6 papers · 1 filter
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…