Cyg X-1中x射线镜头检测的新算法

Jin Qin, Hua Feng and Lian Tao
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摘要

Cyg X-1的短期x射线变化可以解释为随机发生的被称为射击的迷你耀斑,其物理性质尚不清楚。提出了一种基于基线检测和模板拟合的x射线光曲线镜头识别新算法。与以前的技术相比,我们的算法使我们能够检测到更低幅度和更短时间间隔的镜头。通过更好的观测,我们发现,在对检测灵敏度进行校正后,射击幅度和复发率都与平均计数率成正比,而复发率对计数率的依赖程度要高得多。这表明,更高的质量吸积率将驱动更多更大的弹片。我们还发现,以往研究中发现的弹峰附近的突然硬化是由不同能带的不同弹廓引起的;没有必要涉及一个快速的物理过程来突然硬化发射光谱。
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A New Algorithm for Detecting X-Ray Shots in Cyg X-1
The short-term X-ray variability of Cyg X-1 can be interpreted as a random occurrence of mini-flares known as the shots, whose physical nature is still unclear. We propose a new algorithm for shot identification in the X-ray light curve, based on baseline detection and template fitting. Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. With NICER observations, we find that, after correction for detection sensitivity, both the shot amplitude and recurrence rate are positively scaled with the mean count rate, while the recurrence rate has a much higher dependence on the count rate. These suggest that a higher mass accretion rate will drive more and slightly larger shots. We also find that the abrupt hardening near the shot peak found in previous studies is attributed to different shot profiles in different energy bands; there is no need to involve a rapid physical process to suddenly harden the emitting spectrum.
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