29 citations · 86 across the 13 of their papers we have counts for
13 papers
A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training
Zi-Huang Cao, Zhao-Xiang Qi, Juan-Juan Ren +11
We present an extinction-calibrated, Gaia-source-level QSO candidate catalog for selected fields, designed as a high-purity input catalog for fiber-spectroscopic follow-up rather t…
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…
FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
Xiaoxiong Zuo, Yihan Tao, Yang Huang +13
Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, a…
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
Bingke Zhu, Xiaoxiao Wang, Minghui Jia +6
Stellar flare events are critical observational samples for astronomical research; however, recorded flare events remain limited. Stellar flare forecasting can provide additional f…
Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models
Wujun Shao, Pengli Ji, Dongwei Fan +6
Astronomical knowledge entities, such as celestial object identifiers, are crucial for literature retrieval and knowledge graph construction, and other research and applications in…
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…
Towards an Astronomical Science Platform: Experiences and Lessons Learned from Chinese Virtual Observatory
Chenzhou Cui, Yihan Tao, Changhua Li +16
In the era of big data astronomy, next generation telescopes and large sky surveys produce data sets at the TB or even PB level. Due to their large data volumes, these astronomical…
IVOA HiPS Implementation in the Framework of WorldWide Telescope
Yunfei Xu, Chenzhou Cui, Dongwei Fan +9
The WorldWide Telescope(WWT) is a scientific visualization platform which can browse deep space images, star catalogs, and planetary remote sensing data from different observation…
A Conception of Engineering Design for Remote Unattended Operation Public Observatory
Jun Han, Dongwei Fan, Chenzhou Cui +9
Public observatory project is playing more and more important role in science popularization education and scientific research, and many amateur astronomers also have began to buil…
Automated Spectral Classification of Galaxies using Machine Learning Approach on Alibaba Cloud AI platform (PAI)
Yihan Tao, Yanxia Zhang, Chenzhou Cui +1
Automated spectral classification is an active research area in astronomy at the age of data explosion. While new generation of sky survey telescopes (e.g. LAMOST and SDSS) produce…