activity
20242026
most citedPreparation for CSST: Star-galaxy Classification using a Rotationally Invariant Supervised Machine Learning Method

7 citations · 13 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.CO2026

Mapping Dark Matter in Merging Clusters with Weak Lensing for CSST: Morphology and Filament Recovery

Xinyue Chen, Ran Li, Qiao Wang +6

Weak gravitational lensing offers a direct probe of the projected dark matter distribution in cluster-scale structures and the surrounding cosmic web. We investigate the capability…

astro-ph.IM2025★ 1 cited

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…

astro-ph.CO2025★ 4 cited

CURLING -- II. Improvement on the Inference from Pixelized Cluster Strong Lens Modeling

Yushan Xie, Huanyuan Shan, Yiping Shu +9

Strongly lensed supernovae (glSNe) provide a powerful, independent method to measure the Hubble constant, , through time delays between their multiple images. The accuracy o…

astro-ph.CO2025★ 1 cited

Reproducing Abell 2744 with the HyperMillennium Simulation

Qiao Wang, Ming Li, Liang Gao +11

We present the Hyper Millennium (HM) simulation, an extremely large cosmological simulation designed to support next-generation galaxy surveys. The simulation follows 4.2 trillion…

astro-ph.IM2024

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…

astro-ph.GA2024★ 7 cited

Preparation for CSST: Star-galaxy Classification using a Rotationally Invariant Supervised Machine Learning Method

Shiliang Zhang, Guanwen Fang, Jie Song +6

Most existing star-galaxy classifiers depend on the reduced information from catalogs, necessitating careful data processing and feature extraction. In this study, we employ a supe…