7 papers
A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10
Shirui Wei, Changhua Li, Yanxia Zhang +6
Galaxy physical properties-such as star formation rate (SFR), stellar mass, and gas-phase metallicity-are essential for population studies and evolutionary analyses. Deriving these…
Search for quasar pairs with Gaia astrometric data. II. Photometric redshift prediction with machine learning for the MGQPC catalogue
Xingyu Zhu, Qihang Chen, Liang Jing +4
The identification of physically associated kiloparsec-scale quasar pairs is important for understanding galaxy evolution, the growth of supermassive black holes, and their co-evol…
A Catalogue of Mid-infrared Variable Sources from unTimely
Zihan kang, Jingyi Zhang, Yanxia Zhang +6
The WISE and NEOWISE missions have provided the only mid-infrared all-sky time-domain data, opening a unique observational window for variability studies. Yet, a comprehensive and…
The CatSouth Quasar Candidate Catalog for the Southern Sky and a Unified All-Sky Catalog Based on Gaia DR3
Yuming Fu, Xue-Bing Wu, R. J. Bouwens +12
The Gaia DR3 has provided a large sample of more than 6.6 million quasar candidates with high completeness but low purity. Previous work on the CatNorth quasar candidate catalog ha…
Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP
Shirui Wei, Changhua Li, Yanxia Zhang +13
Emission Line Galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form a…
Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning
Heng Wang, Yanli Ai, Yanxia Zhang +6
We present a sample of 12 quasar candidates with highly variable soft X-ray emission from the 4th XMM-newton Serendipitous Source Catalog (4XMM-DR13) using random forest. We obtain…