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arXiv 0909.1309astro-ph.HE
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iShocks:具有内激波模型的X射线二元喷流

iShocks: X-ray binary jets with an internal shocks model

O. Jamil, R. Fender, C. Kaiser

摘要:

在下面的文章中,我们提出了一个内部冲击模型,iShocks,用于模拟各种相对论性喷流的情况下,这些情况下可以从一个单一的喷射事件,几乎连续的射流,并高度用户可配置。虽然在下面的文件中的主要焦点是黑洞X射线双喷流,模型是规模和源无关,并可用于活动星系核或其他流,如中子星的喷流的超大质量黑洞。离散的等离子体包(或“壳”)用于模拟射流体积。两壳层碰撞产生内部冲击,这是一种电子回复机制。使用伪随机分布的壳属性,结果表明,它是如何第一次有可能重现一个平面/倒置的频谱(与紧凑的无线电射流)在锥形射流,同时考虑到绝热能量损失。以前的模型已经表明,电子再加速是必不可少的,以获得一个平坦的频谱从绝热锥形喷流:多个内部冲击证明是有效的,在提供这种re-acceleration。我们还显示了如何在频谱中的高频营业额/休息与喷气功率,$ν_b \propto L_{\textrm W}^{\sim 0.6}$,和平坦的光谱同步辐射通量与总喷气功率,$F_ν\propto L_{\textrm W}^{\sim 1.4}$。这两种相关性与以前的分析预测一致。

英文摘要:

In the following paper we present an internal shocks model, iShocks, for simulating a variety of relativistic jet scenarios; these scenarios can range from a single ejection event to an almost continuous jet, and are highly user configurable. Although the primary focus in the following paper is black hole X-ray binary jets, the model is scale and source independent and could be used for supermassive black holes in active galactic nuclei or other flows such as jets from neutron stars. Discrete packets of plasma (or `shells') are used to simulate the jet volume. A two-shell collision gives rise to an internal shock, which acts as an electron re-energization mechanism. Using a pseudo-random distribution of the shell properties, the results show how for the first time it is possible to reproduce a flat/inverted spectrum (associated with compact radio jets) in a conical jet whilst taking the adiabatic energy losses into account. Previous models have shown that electron re-acceleration is essential in order to obtain a flat spectrum from an adiabatic conical jet: multiple internal shocks prove to be efficient in providing this re-energization. We also show how the high frequency turnover/break in the spectrum is correlated with the jet power, $ν_b \propto L_{\textrm W}^{\sim 0.6}$, and the flat-spectrum synchrotron flux is correlated with the total jet power, $F_ν\propto L_{\textrm W}^{\sim 1.4}$. Both the correlations are in agreement with previous analytical predictions.

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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