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…
Constraining the Physical Parameters of Blazars Using the Seed Factor Approach
Chang-Bin Deng, Yong-You Shi, Yu-Jie Song +4
The discovery that blazars dominate the extra-galactic γ-ray sky is a triumph in the Fermi era. However, the exact location of γ-ray emission region still remains in debate. Low-…
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…
Elucidating the impact of massive neutrinos on halo assembly bias
Yunjia Song, Ying Zu
Massive neutrinos have non-negligible impact on the formation of large-scale structures. We investigate the impact of massive neutrinos on the halo assembly bias effect, measured b…