most citedSeparating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method

42 citations · 53 across the 3 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2019

Modelling cosmic ray electron physics in cosmological smoothed particle hydrodynamics simulation

Dongchao Zheng, Weitian Li, Zhenghao Zhu +5

Cosmic ray electron (CRE) acceleration and cooling are important physical processes in astrophysics. We develop an approximative framework to treat CRE physics in the parallel smoo…

astro-ph.CO201911 cited

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…

astro-ph.IM201942 cited

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…

astro-ph.GA2018

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…

astro-ph.HE2018

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…