59 citations · 84 across the 22 of their papers we have counts for
8 papers · 1 filter
fiDrizzle-MU: A Fast Iterative Drizzle with Multiplicative Updates
Shen Zhang, Lei Wang, Huanyuan Shan +3
We propose fiDrizzleMU, an algorithm for co-adding exposures via iterative multiplicative updates, replacing the additive correction framework. This method achieves superior anti-a…
Mock Observations for the CSST Mission: Main Surveys--An Overview of Framework and Simulation Suite
Cheng-Liang Wei, Guo-Liang Li, Yue-Dong Fang +26
The Chinese Space Station Survey Telescope (CSST) is a flagship space-based observatory. Its main survey camera is designed to conduct high spatial resolution near-ultraviolet to n…
MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope
Zhen-Ya Zheng, Chun Xu, Xiaohua Liu +37
The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging cha…
Introduction to the Chinese Space Station Survey Telescope (CSST)
CSST Collaboration, Yan Gong, Haitao Miao +119
The Chinese Space Station Survey Telescope (CSST) is an upcoming Stage-IV sky survey telescope, distinguished by its large field of view (FoV), high image quality, and multi-band o…
CSST Strong Lensing Preparation: Fast Modeling of Galaxy-Galaxy Strong Lenses in the Big Data Era
Xiaoyue Cao, Ran Li, Nan Li +4
Galaxy-galaxy strong lensing provides a powerful probe of galaxy formation, evolution, and the properties of dark matter and dark energy. However, conventional lens-modeling approa…
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…
How to coadd images: II. Anti-aliasing and PSF deconvolution
Lei Wang, Huanyuan Shan, Lin Nie +8
We have developed a novel method for co-adding multiple under-sampled images that combines the iteratively reweighted least squares and divide-and-conquer algorithms. Our approach…
Comparison of Halo Detection from Noisy Weak Lensing Convergence Maps with Gaussian Smoothing and MRLens Treatment
Yangxiu Jiao, Huanyuan Shan, Zuhui Fan
Taking into account the noise from intrinsic ellipticities of source galaxies, we study the efficiency and completeness of halo detections from weak lensing convergence maps. Parti…