activity
20232026
most citedCatNorth: An Improved Gaia DR3 Quasar Candidate Catalog with Pan-STARRS1 and CatWISE

25 citations · 61 across the 14 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

10 papers · 1 filter

astro-ph.GA2026

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…

astro-ph.GA2026

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…

astro-ph.GA2025★ 11 cited

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…

astro-ph.GA2025

Finding Quasars Behind the Galactic Plane: Spectroscopic Identifications of ~1300 New Quasars at |b|<=20 degree from LAMOST DR10

Zhi-Ying Huo, Yuming Fu, Yang Huang +10

Quasars behind the Galactic plane (GPQs) are excellent tracers to probe the chemistry and kinematics of the interstellar/intergalactic medium (ISM/IGM) of the Milky Way along sight…

astro-ph.GA2025

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…

astro-ph.GA2024★ 1 cited

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,…