42 citations · 53 across the 2 of their papers we have counts for
5 papers
Contribution of Radio Halos to the Foreground for SKA EoR Experiments
Weitian Li, Haiguang Xu, Zhixian Ma +11
The overwhelming foreground contamination is one of the primary impediments to probing the Epoch of Reionization (EoR) through measuring the redshifted 21 cm signal. Among various…
Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
Weitian Li, Haiguang Xu, Zhixian Ma +7
When applying the foreground removal methods to uncover the faint cosmological signal from the epoch of reionization (EoR), the foreground spectra are assumed to be smooth. However…
A Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected From The Best-Heckman Sample
Zhixian Ma, Haiguang Xu, Jie Zhu +8
We present a morphological classification of 14,245 radio active galactic nuclei (AGNs) into six types, i.e., typical Fanaroff--Riley Class I / II (FRI/II), FRI/II-like bent-tailed…
A Study of the Merger History of the Galaxy Group HCG 62 Based on X-Ray Observations and SPH Simulations
Dan Hu, Haiguang Xu, Xi Kang +9
We choose the bright compact group HCG 62, which was found to exhibit both excess X-ray emission and high Fe abundance to the southwest of its core, as an example to study the impa…
Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models
Zhixian Ma, Jie Zhu, Weitian Li +1
The morphology of a radio galaxy is highly affected by its central active galactic nuclei (AGN), which is studied to reveal the evolution of the super massive black hole (SMBH). In…