Further evidence of superluminal active galactic nuclei as γ ‐ray sources-Reference-Cited by-同舟云学术

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Further evidence of superluminal active galactic nuclei as γ ‐ray sources

Published:2020-05 Issue:4 Volume:341 Page:462-470
ISSN:0004-6337
Container-title:Astronomische Nachrichten
language:en
Short-container-title:Astron. Nachr

Author:

Xiao Hubing¹²³,Fan Junhui¹⁴⁵,Rando Riccardo²³,Zhu Jingtian¹,Hu Liangjun⁶

Affiliation:

1. Center for AstrophysicsGuangzhou University Guangzhou China

2. Department of Physics and Astronomy “G. Galilei”University of Padova Padova Italy

3. Istituto Nazionale di Fisica Nucleare, Sezionedi Padova Padova Italy

4. Astronomy Science and Technology Research Laboratory of Department of Education of Guangdong ProvinceGuangzhou University Guangzhou China

5. Key Laboratory for Astronomical Observation and Technology of GuangzhouGuangzhou University Guangzhou China

6. Department of physics of School of physics and electronic informationAnhui Normal University Wuhu China

Funder

Purdue University

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asna.202013733

Reference33 articles.

1. THE SPECTRAL ENERGY DISTRIBUTION OFFERMIBRIGHT BLAZARS

2. Radio-optical scrutiny of compact AGN: correlations between properties of pc-scale jets and optical nuclear emission

3. Hard X-ray properties of blazars

4. Gamma-ray-loud blazars and beaming

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1. Superluminal Motion and Jet Parameters in the Gamma-ray-Emitting Narrow-Line Seyfert 1 Galaxy TXS 1206+549;Galaxies;2024-02-17

2. Identification of 4FGL Uncertain Sources at Higher Resolutions with Inverse Discrete Wavelet Transform;The Astrophysical Journal;2024-01-01

3. Characterizing the Emission Region Properties of Blazars;The Astrophysical Journal Supplement Series;2023-09-01

4. The fundamental plane of FSRQs based on the black hole spin-mass energy;Astrophysics and Space Science;2023-08

5. Exploring TeV Candidates of Fermi Blazars through Machine Learning;The Astrophysical Journal;2023-06-01

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