14 citations · 15 across the 6 of their papers we have counts for
6 papers
Forecasting the E_G measurements from the photometric and spectroscopic surveys of Chinese Space Station Survey Telescope (CSST)
Yu Song, Yi Zheng
We present forecasts for the statistic using redshift distributions of realistic mock galaxy samples from the upcoming Chinese Space Station Survey Telescope (CSST). The domi…
Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
Liang Cao, Peng Jia, Jiaxin Li +3
The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging AI algorithms, has highlighted efficient image pre-processing as a critical…
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
Mingxiang Fu, Yu Song, Jiameng Lv +14
The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the Universe. However, effectively analyzing this vast amount…
An Image Quality Evaluation and Masking Algorithm Based On Pre-trained Deep Neural Networks
Peng Jia, Yu Song, Jiameng Lv +1
With the growing amount of astronomical data, there is an increasing need for automated data processing pipelines, which can extract scientific information from observation data wi…
Image Restoration with Point Spread Function Regularization and Active Learning
Peng Jia, Jiameng Lv, Runyu Ning +5
Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae. Analysing and processing these images can reveal intricate intern…
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
Peng Jia, Ruiqi Sun, Nan Li +4
Strong lensing in galaxy clusters probes properties of dense cores of dark matter halos in mass, studies the distant universe at flux levels and spatial resolutions otherwise unava…