activity
20122019
most citedA Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected From The Best-Heckman Sample

58 citations · 183 across the 12 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

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…

astro-ph.IM2018★ 6 cited

Pre-selection of the Candidate Fields for Deep Imaging of the Epoch of Reionization with SKA1-Low

Qian Zheng, Xiang-Ping Wu, Quan Guo +4

The Square Kilometre Array (SKA) will be the first low-frequency instrument with the capability to directly image the structures of the Epoch of Reionization (EoR). Indeed, deep im…

astro-ph.HE2018★ 5 cited

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…

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…

astro-ph.GA2018★ 4 cited

Detection of a Double Relic in the Torpedo Cluster: SPT-CL J0245-5302

Qian Zheng, Melanie Johnston-Hollitt, Stefan Duchesne +1

The Torpedo cluster, SPT-CL J0245-5302 (S0295) is a massive, merging cluster at a redshift of z = 0.300, which exhibits a strikingly similar morphology to the Bullet cluster 1E 065…