18 citations · 30 across the 6 of their papers we have counts for
6 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…
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…
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…
Search for young stellar objects within 4XMM-DR13 using CatBoost and SPE
Xiangyao Ma, Yanxia Zhang, Jingyi Zhang +3
Classifying and summarizing large data sets from different sky survey projects is essential for various subsequent scientific research. By combining data from 4XMM-DR13, SDSS DR18,…
Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way
Zihan Kang, Yanxia Zhang, Jingyi Zhang +4
Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of vari…
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…