activity
20072019
most citedA Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected From The Best-Heckman Sample

58 citations · 141 across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.CO2019★ 11 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.IM2019★ 42 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★ 58 cited

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…

cs.CV2018★ 1 cited

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…

cs.CV2017★ 4 cited

X-ray Astronomical Point Sources Recognition Using Granular Binary-tree SVM

Zhixian Ma, Weitian Li, Lei Wang +2

The study on point sources in astronomical images is of special importance, since most energetic celestial objects in the Universe exhibit a point-like appearance. An approach to r…

astro-ph.CO2016★ 10 cited

A Chandra Study of the Image Power Spectra of 41 Cool Core and Non-Cool Core Galaxy Clusters

Chenhao Zhang, Haiguang Xu, Zhenghao Zhu +9

In this work we propose a new diagnostic to segregate cool core (CC) clusters from non-cool core (NCC) clusters by studying the two-dimensional power spectra of the X-ray images ob…