9 citations · 14 across the 13 of their papers we have counts for
14 papers
The Agentic Observer Hackathon: Autonomous Decision-making in Simulated Astronomical Surveys
Haosong Wang, Ting Tan, Yao Li +7
Astronomical surveys must allocate observing time while responding to changing conditions and competing scientific priorities. We present the Agentic Observer Hackathon (AOH), a co…
Executable verification through formalized expert reasoning in astronomical spectroscopy
Haosong Wang, Ting Tan, Ji Yao +5
Artificial intelligence has reshaped scientific prediction, but scientific verification remains a human bottleneck. Automated systems can map observations to labels, parameters or…
Foreground Characterization and Mitigation in the Observations of the CD/EoR with the SKA
Philip Bull, Jacob Burba, Emilio Ceccotti +20
The Square Kilometre Array (SKA), with its unprecedented sensitivity, frequency coverage, and large collecting area, is poised to revolutionize our understanding of the Cosmic Dawn…
Gravitational Lensing Effects by Galaxy Clusters on Ionised Bubble Size Distribution during the Epoch of Reionisation
Di Wu, Nan Li, Huanyuan Shan +1
The statistical properties of ionisation structures during the Epoch of Reionisation (EoR) provide valuable insights into the formation of the first stars and galaxies. However, si…
Constraining the Neutral Hydrogen Fraction from SKA Simulated Observation using a Double-Gaussian Decomposition Technique
Jiajun Zhang, Huanyuan Shan
The Epoch of Reionization (EoR) is a unique phase in cosmic history, marked by the ionization of neutral hydrogen by the first luminous sources. The global neutral hydrogen fractio…
A candidate field for deep imaging of the Epoch of Reionization observed with MWA
Xueying Zhang, Qian Zheng, Linhui Wu +8
Deep imaging of structures from the Cosmic Dawn (CD) and the Epoch of Reionization (EoR) in five targeted fields is one of the highest priority scientific objectives for the Square…
MWA and VLA Observations of Diffuse Radio Lobes in M 87
Linhui Wu, Fu-Guo Xie, Qian Zheng +12
This study investigates the projected, quasi-symmetric -scale diffuse radio lobes surrounding the giant elliptical galaxy M\,87, utilizing well-sampled wideband ($\…
Cosmological Constraints with Void Lensing I: the Simulation-Based Inference Framework
Chen Su, Huanyuan Shan, Cheng Zhao +2
We present a Simulation-Based Inference (SBI) framework for cosmological parameter estimation via void lensing analysis. Despite the absence of an analytical model of void lensing,…
Reconstructing the Anisotropic Ultra-long Wavelength Spectra using a Single Antenna on Lunar-orbit
Qige Ao, Furen Deng, Yidong Xu +3
The ultra-long wavelength sky ( MHz) is still largely unexplored, as the electromagnetic wave is heavily absorbed and distorted by the ionosphere on Earth. The far-si…
MeerKAT discovery of GHz radio emission extending from Abell 3017 toward Abell 3016
Dan Hu, Norbert Werner, Haiguang Xu +18
Context: The clusters Abell 3017 and Abell 3016 are located within a large-scale filament. A prominent X-ray bridge has been detected connecting the two clusters and a potential ga…
A New Model for the Extragalactic Radio Sky at Low Frequency Calibrated Using the LOFAR Two-metre Survey
Jinyang Lin, Zhenghao Zhu, Renyi Ma +2
Building the radio sky template are crucial for detecting the 21 cm emission line signal from the Epoch of Reionization (EoR), as well as for other cosmological research endeavors.…
New galaxy UV luminosity constraints on warm dark matter from JWST
Bin Liu, Huanyuan Shan, Jiajun Zhang
We exploit the recent {\it James Webb Space Telescope} (JWST) determination of galaxy UV luminosity functions over the redshift range to derive constraints on warm dark…
Influence of sources with a spectral peak in the detection of Cosmic Dawn and Epoch of Reionization
Mengfan He, Qian Zheng, Quan Guo +5
Foreground removal is one of the biggest challenges in the detection of the Cosmic Dawn (CD) and Epoch of Reionization (EoR). Various foreground subtraction techniques have been de…
21-cm foreground removal using AI and frequency-difference technique
Feng Shi, Haoxiang Chang, Le Zhang +5
The deep learning technique has been employed in removing foreground contaminants from 21 cm intensity mapping, but its effectiveness is limited by the large dynamic range of the f…