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 ObservatoriesCN680 papers
- Shanghai Astronomical ObservatoryCN633 papers
- Beijing Normal UniversityCN630 papers
- Purple Mountain ObservatoryCN616 papers
- Tsinghua UniversityCN578 papers
- Kavli Institute for Theoretical SciencesCN552 papers
- Nanjing UniversityCN462 papers
- Center for Astrophysics Harvard & SmithsonianUS455 papers
28 papers · 2 filters
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…
Temporal variability in low-frequency radio interference: Insight from high-cadence monitoring at a candidate radio notification zone in Malaysia
Affan Adly Nazri, Zamri Zainal Abidin, Mohamad Ridhauddin Mat Sabri +9
Extensive radio frequency interference (RFI) monitoring is essential in the site selection process before constructing radio astronomy observatories, followed by mitigation strateg…
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…
Radiometer Calibration using Machine Learning
S. A. K. Leeney, H. T. J. Bevins, E. de Lera Acedo +35
Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly all radio telescopes. They measure the intensity of electromagnetic radiation, conve…
Determining the observation epochs of star catalogs from ancient China using the generalized Hough transform method
Boliang He, Yongheng Zhao
Ancient China recorded a wealth of astronomical observations, notably distinguished by the inclusion of empirical measurements of stellar observations. However, determining the pre…
The Mini-SiTian Array: Design and application of Master Control System
Zheng Wang, Jin-hang Zou, Liang Ge +4
The SiTian Project represents a groundbreaking initiative in astronomy, aiming to deploy a global network of telescopes, each with a 1-meter aperture, for comprehensive time-domain…
The Mini-SiTian Array: first-two-year operation
Min He, Hong Wu, Liang Ge +70
The SiTian project, designed to utilize 60 telescopes distributed across multiple sites in China, is a next-generation time-domain survey initiative. As a pathfinder for the SiTian…
Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
Ana Sofía M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37
Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…
Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment
A. Bonaldi, P. Hartley, R. Braun +179
We present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organis…
Classification of Solar Radio Spectrum Based on Swin Transformer
Jian Chen, Guowu Yuan, Hao Zhou +3
Solar radio observation is a method used to study the Sun. It is very important for space weather early warning and solar physics research to automatically classify solar radio spe…
Self-Supervised Learning for Solar Radio Spectrum Classification
Siqi Li, Guowu Yuan, Jian Chen +2
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and cl…