论文标题

确定负责黑洞系统准周期振荡的辐射组件

Identifying the radiative components responsible for Quasi-Periodic Oscillations of black hole systems

论文作者

Garg, Akash, Misra, Ranjeev, Sen, Somasri

论文摘要

尽管在银河黑洞系统中观察到的可变性的动态起源,例如准周期振荡(QPOS),仍然是一个争论的问题,但可以通过研究其依赖能量的时间行为来获得对负责这种行为的辐射成分的洞察力。特别是,需要确定最适合时间平均光谱成分的参数的哪些变化会重现观察到的依赖性分数R.M.M和时段。但是,要获得有意义的解释,标准光谱分量参数必须重铸为与物理相关的参数。然后,需要预测,与观察结果进行比较,其波动会导致,需要预测,并与观察结果进行比较。在这项工作中,我们描述了一种通用方法,可以将技术应用于在黑洞系统中观察到的〜3-4 Hz QPO,如Astrosat所观察到的,其中可以通过截短的磁盘和内部区域中热的热量加成的圆盘的发射来表示时间平均光谱。我们发现,QPO及其谐波可以用磁盘中的局部积聚率变化,截短的磁盘半径,光学深度和冠状动脉的加热速率在它们之间的时间表之间进行解释。我们强调了此类技术的潜力,即使用Astrosat和Micer的高质量频谱和时间数据来揭示辐射过程,从而使辐射过程负责变异。

While the dynamical origin of the variability observed in Galactic Black hole systems, such as quasi-periodic oscillations (QPOs), are still a matter of debate, insight into the radiative components responsible for such behaviour can be obtained by studying their energy dependent temporal behaviour. In particular, one needs to ascertain which variations of the parameters of the best fit time-averaged spectral components reproduce the observed energy dependent fractional r.m.s and time-lags. However, to obtain meaningful interpretation, the standard spectral component parameters have to be recast to physically relevant ones. Then, the energy dependent temporal variations that their fluctuations will cause, needs to be predicted and compared with observations. In this work, we describe a generic method to do this and apply the technique to the ~ 3-4 Hz QPOs observed in the black hole system GRS 1915+105 as observed by AstroSat where the time-averaged spectra can be represented by emission from a truncated disk and a hot thermal Comptonizing coronae in the inner regions. We find that the QPOs and their harmonic can be explained in terms of correlated local accretion rate variations in the disk, the truncated disk radius, the optical depth and the heating rate of the coronae with time-delays between them. We highlight the potential of such techniques to unravel the radiative process responsible for variability using high quality spectral and temporal data from AstroSat and NICER.

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