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arXiv 2510.16705astro-ph.HEastro-ph.GA
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射电星系中谱年龄与动力学年龄差异的起源

The origin of the spectral versus dynamical age discrepancy in radio galaxies

University of Tasmania(塔斯马尼亚大学);University of Hertfordshire(赫特福德大学);University of Western Australia(西澳大学)

Larissa Jerrim, Stas Shabala, Ross Turner, Patrick Yates-Jones, Martin Krause, Georgia Stewart, Chris Power

AI总结:

研究通过模拟揭示射电星系领域中谱年龄与动力学年龄差异的成因,发现电子种群混合是主因,并指出高磁场强度年轻粒子主导射电谱。

摘要:

我们研究了湍流磁场对大尺度射电星系领域内同步辐射射电发射观测谱特性的影响。我们使用三维相对磁流体动力学模拟快速、高能喷流,研究领域磁场结构以及这种结构如何影响领域的射电谱。此前有人认为,通过射电谱推断的领域年龄低估了射电星系的真实年龄,原因是领域中电子的再加速、电子种群的混合或领域中湍流磁场的存在。我们发现,考虑和不考虑领域磁场结构的谱年龄是一致的,这表明不同年龄的辐射种群混合是射电领域年龄低估的主要原因。通过考虑领域磁场结构,我们发现领域赤道区域的谱陡降更明显。我们证明了连续注入、Jaffe-Perola和Tribble模型对射电领域谱的假设在我们的模拟中不成立,并展示了高磁场强度的年轻粒子是整体射电领域谱的主要贡献者。

英文摘要:

We investigate the effect of turbulent magnetic fields on the observed spectral properties of synchrotron radio emission in large-scale radio galaxy lobes. We use three-dimensional relativistic magnetohydrodynamic simulations of fast, high-powered jets to study the structure of the lobe magnetic fields and how this structure affects the radio spectrum of the lobes. It has previously been argued that lobe ages inferred from radio spectra underestimate the true ages of radio galaxies due to re-acceleration of electrons in the lobe, mixing of electron populations, or the presence of turbulent magnetic fields in the lobes. We find that the spectral ages with and without accounting for the lobe magnetic field structure are consistent with each other, suggesting that mixing of radiating populations of different ages is the primary cause of the underestimation of radio lobe ages. By accounting for the structure of lobe magnetic fields, we find greater spectral steepening in the equatorial regions of the lobe. We demonstrate that the assumptions of the continuous injection, Jaffe-Perola, and Tribble models for radio lobe spectra do not hold in our simulations, and we show that young particles with high magnetic field strengths are the dominant contributors to the overall radio lobe spectrum.

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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