9 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
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…
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,…
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…
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…