Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN5.9k papers
- University of Chinese Academy of SciencesCN2.2k papers
- Peking UniversityCN1.2k papers
- Centre National de la Recherche ScientifiqueFR759 papers
- Yunnan ObservatoriesCN679 papers
- Shanghai Astronomical ObservatoryCN633 papers
- Beijing Normal UniversityCN629 papers
- Purple Mountain ObservatoryCN616 papers
- Tsinghua UniversityCN578 papers
- Kavli Institute for Theoretical SciencesCN552 papers
- Nanjing UniversityCN462 papers
- Center for Astrophysics Harvard & SmithsonianUS455 papers
407 papers · 1 filter
Recalibration of SDSS photometric zero-points based on the InfraRed Flux Method temperature scale
Zenghua Zhou, Luca Casagrande, Heran Xiong +4
Accurate photometric zero-points are essential for translating observed magnitudes into physical fluxes, from comparing with models to ensuring consistency across surveys. We deter…
An Automated Photometric Pipeline for the 80cm Xizang University Telescope
Chao Xu, Jie Zheng, Tian-Lu Chen +5
Processing astronomical data can take up a significant amount of researchers' time. The 80cm telescope at Xizang University is currently in its trial operation phase; however, it l…
HiFAST: An HI data calibration and imaging pipeline for the FAST IV: The stray-radiation correction
Qingze Chen, Jie Wang, Yingjie Jing +12
Stray radiation is a considerable challenge for radio telescopes, requiring careful assessment due to its effects. This is crucial when the strong background flux from side lobes s…
An agentic framework for gravitational-wave counterpart association in the multi-messenger era
Yiming Dong, Yacheng Kang, Junjie Zhao +3
With the detection of gravitational waves (GWs), multi-messenger astronomy has opened a new window for advancing our understanding of astrophysics, dense matter, gravitation, and c…
Characterizing the Instrumental Profile of LAMOST
Qian Liu, Zhongrui Bai, Ming Zhou +9
The instrumental profile (IP) of a telescope is of great significance for spectroscopic analyses, especially for wavelength calibration and stellar parameter measurements. The Larg…
A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets
Zhuoming Han, Tianmeng Zhang, Chao Liu +1
The distinction between stars and galaxies is a fundamental problem in the field of celestial classification. This issue has become challenging for these ongoing and upcoming digit…
SpecZoo: An AI-Powered Platform for Spectral Analysis and Visualization in Science and Education
Yuan-Hao Pu, Guo-Hong Lei, Yang Xu +2
Astronomical spectra, which encode rich astrophysical and chemical information, are fundamental to understanding celestial objects and universal laws. The advent of large-scale spe…
Mock Observations of Multiple Stellar Populations in Tidal Streams of Palomar 5 for the Chinese Space Station Survey Telescope
Xia Li, Long Wang, Chengyuan Li +3
Observations show that multiple stellar populations (MPs) are ubiquitous in globular clusters. The Hubble Space Telescope (HST) has been a pivotal tool for previous photometric stu…
Deep learning-based astronomical multimodal data fusion: A comprehensive review
Wujun Shao, Dongwei Fan, Chenzhou Cui +3
With the rapid advancements in observational technologies and the widespread implementation of large-scale sky surveys, diverse electromagnetic wave data (e.g., optical and infrare…
Detection and classification of astronomical sources with Astro-RetinaNet in crowded stellar fields
Yibo Yan, Chao Liu, Jiadong Li +1
Upcoming next-generation sky surveys will detect large number of faint objects with magnitudes larger than 25. When objects are crowded within a limited a field of view, blending b…
Estimating stellar atmospheric parameters and elemental abundances using fully connected residual network
Shuo Li, Yin-Bi Li, A-Li Luo +3
Stellar atmospheric parameters and elemental abundances are traditionally determined using template matching techniques based on high-resolution spectra. However, these methods are…
The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…
fiDrizzle-MU: A Fast Iterative Drizzle with Multiplicative Updates
Shen Zhang, Lei Wang, Huanyuan Shan +3
We propose fiDrizzleMU, an algorithm for co-adding exposures via iterative multiplicative updates, replacing the additive correction framework. This method achieves superior anti-a…
Mock Observations for the CSST Mission: CPI-C -- Targets for High Contrast Imaging
Yi-Ming Zhu, Gang Zhao, Jiang-Pei Dou +6
We introduce CPISM, a simulation program developed for the Cool Planet Imaging Coronagraph (CPI-C) on the China Space Station Telescope (CSST). CPISM supports high-contrast exoplan…
Improving pulsar search efficiency in next-generation pulsar surveys with artificial intelligence
Qiuyang Fu, Mengyao Xue, Weiwei Zhu +12
Pulsar searching with next-generation radio telescopes requires efficiently sifting through millions of candidates generated by search pipelines to identify the most promising ones…
In-Orbit GRB Identification Using LLM-based model for the CXPD CubeSat
Cunshi Wang, Zuke Feng, Difan Yi +12
To validate key technologies for wide field-of-view (FOV) X-ray polarization measurements, the Cosmic X-ray Polarization Detector (CXPD) CubeSat series has been developed as a prot…
RFSoC receiver calibration system for 21-cm global spectrum experiments from space: The CosmoCube case
Jiacong Zhu, Eloy de Lera Acedo, Kaan Artuc +1
The CosmoCube project plans to deploy a global 21-cm spectrometer with 10-100 MHz observation band in a lunar orbit. The farside part of such an orbit, i.e. the part of orbit behin…
Deep-learning-based prediction of Precipitable Water Vapor in the Chajnantor area
Alison Matus-Bello, Silvia E. Restrepo, Ricardo Bustos +7
Astronomical observations at millimeter and submillimeter wavelengths heavily depend on the amount of Precipitable Water Vapor (PWV) in the atmosphere, directly affecting the sky t…
Measurement of the Primary Beam of the Tianlai Cylindrical Antenna Using an Unmanned Aerial Vehicle
Jixia Li, Nanben Suo, Shenzhe Xu +9
The Tianlai Cylinder Pathfinder Array consists of three adjacent cylindrical reflectors fixed on the ground, each 40 meters long and 15 meters wide, with the cylinder axis oriented…
Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology
Ming-wei Qin, Rui Tang, Ying-hui Zhou +8
The 21 cm radiation of neutral hydrogen provides crucial information for studying the early universe and its evolution. To advance this research, countries have made significant in…
Introduction to the Chinese Space Station Survey Telescope (CSST)
CSST Collaboration, Yan Gong, Haitao Miao +119
The Chinese Space Station Survey Telescope (CSST) is an upcoming Stage-IV sky survey telescope, distinguished by its large field of view (FoV), high image quality, and multi-band o…
In-flight calibration of the Lobster Eye Imager for Astronomy
Huaqing Cheng, Hai-Wu Pan, Yuan Liu +12
The Lobster Eye Imager for Astronomy (LEIA), as a pathfinder of the Wide-field X-ray Telescope (WXT) onboard the Einstein Probe (EP) satellite, is the first lobster-eye focusing X-…
Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder
C. Nicolaou, R. P. Nathan, O. Lahav +43
The tens of millions of spectra being captured by the Dark Energy Spectroscopic Instrument (DESI) provide tremendous discovery potential. In this work we show how Machine Learning,…
An Unsupervised Learning Method for Radio Interferometry Deconvolution
Lei Yu, Bin Liu, Cheng-Jin Jin +3
Given the incomplete sampling of spatial frequencies by radio interferometers, achieving precise restoration of astrophysical information remains challenging. To address this ill-p…