45 citations · 90 across the 12 of their papers we have counts for
13 papers
Physical Properties of 6.7 Million Galaxies from the DESI Bright Galaxy Survey: Spectral Fitting and Systematic Tests with Mock Spectra
Niu Li, Hu Zou, Jinfu Gou +7
We present a comprehensive analysis of the physical properties of galaxies in the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) Bright Galaxy Survey (BGS), based…
Environmental Imprints on the Assembly of the Cool Gas around Bright Cluster Galaxies
Runyu Zhu, Hu Zou, Taotao Fang +14
Galaxy clusters represent extreme cosmic laboratories where environmental processes dramatically reshape their constituent galaxies, yet their effect on the gaseous halos of centra…
Discovery of low-redshift analogues to "Little Red Dots" in DESI: A later evolutionary stage of compact LRDs?
Weiyu Ding, Xu Kong, Wei-Jian Guo +8
The James Webb Space Telescope (JWST) has recently discovered a population of compact, red sources at z > 4 known as "Little Red Dots" (LRDs). They are characterized by their V-sha…
Galaxy clusters from the DESI Legacy Imaging Surveys -- III. Star-forming fraction of brightest cluster galaxies
Shufei Liu, Hu Zou, Jinfu Gou +10
This study investigates the evolution of the star-forming fraction () of Brightest Cluster Galaxies (BCGs) at , using the galaxy clusters identified from th…
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,…
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzade, Yanxia Zhang +4
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; star…
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 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…
A New Strategy for Estimating Photometric Redshifts of Quasars
Yanxia Zhang, Jingyi Zhang, Xin Jin +1
Based on the SDSS and SDSS-WISE quasar datasets, we put forward two schemes to estimate the photometric redshifts of quasars. Our schemes are based on the idea that the samples are…
Efficient Selection of Quasar Candidates Based on Optical and Infrared Photometric Data Using Machine Learning
Xin Jin, Yanxia Zhang, Jingyi Zhang +3
We aim to select quasar candidates based on the two large survey databases, Pan-STARRS and AllWISE. Exploring the distribution of quasars and stars in the color spaces, we find tha…
Imbalanced learning for RR Lyrae stars
Jingyi Zhang, Yanxia Zhang, Yongheng Zhao
We apply machine learning and Convex-Hull algorithms to separate RR Lyrae stars from other stars, like main sequence stars, white dwarf stars, carbon stars, CVs and carbon-lines st…