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arXiv 0902.4238astro-ph.HE
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恒星质量黑洞的X射线计时

X-ray Timing of Stellar Mass Black Holes

John A. Tomsick, Ronald A. Remillard, Jeroen Homan, Philip Kaaret, Didier Barret, Jeremy Schnittman

摘要:

对吸积恒星质量黑洞的X射线定时观测表明,它们可以产生时间尺度如此之短的信号,以至于我们必须非常接近广义相对论(GR)预测的最内部稳定圆形轨道进行探测。这些信号是准周期振荡(QPO),高频种类(HFQPO,频率在40-450 Hz范围内)以及0.1-10 Hz低频类型都有可能在强场限制下提供GR测试。GR测试的一个重要步骤是限制黑洞的物理性质,而X射线计时可能实现的直接频率测量可能提供最清晰的黑洞自旋测量之一。虽然目前的X射线卫星已经发现了这些现象,HFQPO是微弱的信号,未来的X射线定时任务与更大的有效面积需要测试候选的理论QPO机制。研究吸积黑洞的另一个主要目标是了解相对论喷流的产生。在这里,我们也取得了进展,在过去的十年中,通过发现无线电发射之间的明确联系,跟踪喷流的强度和X射线发射的属性。随着新的无线电能力刚刚上线,继续对吸积黑洞进行详细的X射线研究对于继续取得进展至关重要。

英文摘要:

X-ray timing observations of accreting stellar mass black holes have shown that they can produce signals with such short time scales that we must be probing very close to the innermost stable circular orbit that is predicted by the theory of General Relativity (GR). These signals are quasi-periodic oscillations (QPOs), and both the high-frequency variety (HFQPOs, which have frequencies in the 40-450 Hz range) as well as the 0.1-10 Hz low-frequency type have the potential to provide tests of GR in the strong field limit. An important step on the path to GR tests is to constrain the physical black hole properties, and the straightforward frequency measurements that are possible with X-ray timing may provide one of the cleanest measurements of black hole spins. While current X-ray satellites have uncovered these phenomenona, the HFQPOs are weak signals, and future X-ray timing missions with larger effective area are required for testing the candidate theoretical QPO mechanisms. Another main goal in the study of accreting black holes is to understand the production of relativistic jets. Here, we have also made progress during the past decade by finding clear connections between the radio emission that traces the strength of the jet and the properties of the X-ray emission. With new radio capabilities just coming on-line, continuing detailed X-ray studies of accreting black holes is crucial for continuing to make progress.

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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