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arXiv 2103.03066astro-ph.HE
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超新星遗迹RX J1713 .7-3946非热辐射的径向廓线

Radial Profiles of Non-thermal Emission from Supernova Remnant RX J1713.7-3946

Yunyong Tang, Siming Liu

摘要:

超新星遗迹RX J1713.7-3946(也称为G347.3-0.5)具有最大的表面亮度,详细的光谱和壳型形态,是最明亮的TeV源之一。最近的H.E.S.S. RX J1713.7-3946的观测表明,\textbf{a}破坏了GeV-TeV γ能谱的幂律谱,γ射线空间径向轮廓比X射线带更宽。基于扩散激波加速模型,通过求解球对称流体动力学方程和粒子输运方程,研究了RX J1713. 7 -3946的多带非热辐射和在$γ$射线辐射轻子方案下两个选定区域的表面亮度径向分布.结果表明:(1)扩散系数具有弱的能量依赖性,且符合Kolmogorov型扩散系数:(2)由于激波下游区域可能存在湍流,不同环境下磁场强度随半径呈线性或非线性变化,激波前缘可能存在压缩放大;(3)从射电到X射线波段的非热光子主要是相对论电子的同步辐射,如果GeV-TeV的γ射线是这些电子与背景光子相互作用产生的逆康普顿散射,则除了更扩展的$γ$射线发射之外,可以再现X射线和γ射线径向分布。

英文摘要:

Supernova remnant RX J1713.7-3946 (also named as G347.3-0.5) has exhibited largest surface brightness, detailed spectral and shell-type morphology, it is one of the brightest TeV sources. The recent H.E.S.S. observation of RX J1713.7-3946 revealed \textbf{a} broken power-law spectrum of GeV-TeV gamma-ray spectrum and more extended gamma-ray spatial radial profile than that in the X-ray band. Based on the diffusion shock acceleration model, we solve spherically symmetric hydrodynamic equations and transport equations of particles, and investigate multi-band non-thermal emission of RX J1713.7-3946 and radial profiles of its surface brightness for two selected zones in the leptonic scenario for the $γ$-ray emission. We found (1) the diffusion coefficient has a weak energy-dependent, and the Kolmogorov type is favored; (2) the magnetic field strength could vary linearly or nonlinearly with radius for different surrounding environments because of possible turbulence in shock downstream region, and a compressional amplification is likely to exist at the shock front; (3) the non-thermal photons from radio to X-ray bands are dominated by synchrotron emission from relativistic electrons, if the GeV-TeV gamma-rays are produced by inverse Compton scattering from these electrons interacting with the background photons, then the X-ray and gamma-ray radial profiles can be reproduced except for the more extended $γ$-ray emission.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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