2023
DOI: 10.1093/mnras/stad2542
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Studying X-ray spectra from large-scale jets of FR II radio galaxies: application of shear particle acceleration

Jia-Chun He,
Xiao-Na Sun,
Jie-Shuang Wang
et al.

Abstract: Shear particle acceleration is a promising candidate for the origin of extended high-energy emission in extra-galactic jets. In this paper, we explore the applicability of a shear model to 24 X-ray knots in the large-scale jets of FR II radio galaxies, and study the jet properties by modeling the multi-wavelength spectral energy distributions (SEDs) in a leptonic framework including synchrotron and inverse Compton - CMB processes. In order to improve spectral modelling, we analyze Fermi-LAT data for five sourc… Show more

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Cited by 4 publications
(3 citation statements)
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“…4 Generally, the γ-rays of RGs are still considered to come from the core jet (Fukazawa et al 2015;Xue et al 2017). However, some works studying the X-ray emission of the large-scale jet substructures in RGs predicted the detectable γ-rays of some substructures (e.g., Zhang et al 2009Zhang et al , 2010Zhang et al , 2018He et al 2023). Especially, the detection of γ-rays from large-scale radio lobes of RGs Cen A (Abdo et al 2010a;Sun et al 2016) and Fornax A (Ackermann et al 2016) confirms that the substructures of the jet are acceleration sites of high-energy particles.…”
Section: Introductionmentioning
confidence: 99%
“…4 Generally, the γ-rays of RGs are still considered to come from the core jet (Fukazawa et al 2015;Xue et al 2017). However, some works studying the X-ray emission of the large-scale jet substructures in RGs predicted the detectable γ-rays of some substructures (e.g., Zhang et al 2009Zhang et al , 2010Zhang et al , 2018He et al 2023). Especially, the detection of γ-rays from large-scale radio lobes of RGs Cen A (Abdo et al 2010a;Sun et al 2016) and Fornax A (Ackermann et al 2016) confirms that the substructures of the jet are acceleration sites of high-energy particles.…”
Section: Introductionmentioning
confidence: 99%
“…The nonthermal radiation observed from AGN jets provides clear evidence for the occurrence of particle acceleration such as those facilitated by, e.g., diffusive shock and/or stochastic Fermi-type processes (e.g., Matthews et al 2020). Shocks are suggested to be responsible for, e.g., the knotted structures in jets such as HST-1 in M87 and the hot spots observed in giant radio lobes and polarization features in blazars (e.g., Blandford et al 2019;Liodakis et al 2022), while stochastic Fermi-type acceleration has been considered to account for the seemingly required hard particle spectra in TeV blazars (Lefa et al 2011;Tavecchio et al 2022; see also (Katarzyński et al 2006) and to provide a promising explanatory framework for understanding the extended, high-energy emission in large-scale AGN jets (e.g., Wang et al 2021;He et al 2023).…”
Section: Introductionmentioning
confidence: 99%
“…Scenarios for the acceleration of UHECRs in AGN jets have included particle acceleration at sub-relativistic shocks in the jet-induced backflow in FR II jets (e.g., Matthews et al 2019), second-order Fermi acceleration in turbulent flows in the jet cocoon (e.g., Bicknell & Melrose 1982;Hardcastle 2010), particle acceleration due to cosmic-ray viscosity in relativistic shear flows (e.g., Rieger & Duffy 2004, 2005bWebb et al 2018Webb et al , 2019Webb et al , 2020Rieger 2019;Wang et al 2021Wang et al , 2023, discrete shear acceleration at interfaces between the jet spine and the cocoon backflow (Ostrowski 1998;Kimura et al 2018), turbulent shear acceleration (TSA; Ohira 2013), and the socalled expresso mechanism (Caprioli et al 2015;Mbarek & Caprioli 2019). He et al (2023) applied the shear acceleration model of electrons in radio-jet sources of Rieger & Duffy (2019) and Wang et al (2021), taking into account synchrotron and inverse Compton energy losses. They used the shear acceleration, leaky box model to explain the observations of X-ray spectra in largescale FR II radio sources (e.g.,3C 273,C 403,3C 17,Pictor A,3C 111,and other sources).…”
Section: Introductionmentioning
confidence: 99%