38 citations · 156 across the 30 of their papers we have counts for
30 papers
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…
HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments
Yajie Zhang, Ce Yu, Chao Sun +4
Cross-matching operation, which is to find corresponding data for the same celestial object or region from multiple catalogues,is indispensable to astronomical data analysis and re…
Photometric redshift estimation of galaxies in the DESI Legacy Imaging Surveys
Changhua Li, Yanxia Zhang, Chenzhou Cui +14
The accurate estimation of photometric redshifts plays a crucial role in accomplishing science objectives of the large survey projects. The template-fitting and machine learning ar…
Photometric Redshift Estimation of BASS DR3 Quasars by Machine Learning
Changhua Li, Yanxia Zhang, Chenzhou Cui +9
Correlating BASS DR3 catalogue with ALLWISE database, the data from optical and infrared information are obtained. The quasars from SDSS are taken as training and test samples whil…
Identification of BASS DR3 Sources as Stars, Galaxies and Quasars by XGBoost
Changhua Li, Yanxia Zhang, Chenzhou Cui +11
The Beijing-Arizona Sky Survey (BASS) Data Release 3 (DR3) catalogue was released in 2019, which contains the data from all BASS and the Mosaic z-band Legacy Survey (MzLS) observat…
GWOPS: A VO-technology Driven Tool to Search for the Electromagnetic Counterpart of Gravitational Wave Event
Yunfei Xu, Dong Xu, Chenzhou Cui +11
The search and follow-up observation of electromagnetic (EM) counterparts of gravitational waves (GW) is a current hot topic of GW cosmology. Due to the limitation of the accuracy…