eBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information

eBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information
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eBASCS:使用空间、光谱和时间信息解开重叠的天文源 II

DOI:
10.1093/mnras/stab1456
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发表时间:
2021
影响因子:
4.8
通讯作者:
Zezas, Andreas
Zezas, Andreas
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Meyer, Antoine D;van Dyk, David A;Kashyap, Vinay L;Campos, Luis F;Jones, David E;Siemiginowska, Aneta;Zezas, Andreas

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对出现在拥挤场中的单个X射线源的分析很容易因记录事件与其原始源的错误分配而受到影响。即使有少量的源,其仍然具有重叠的点扩散函数,将事件分配给源也是一项复杂的任务,其受到不确定性的影响。我们开发了一种贝叶斯方法,旨在筛选高能量光子事件从多个源重叠点扩散函数,利用其空间,光谱和时间签名的差异。该方法概率地将每个事件分配给给定的源。这样的解纠缠允许更详细的光谱或时间分析,以集中在孤立的单个组件,没有来自其他来源或背景的污染。我们还能够计算感兴趣的源参数,如它们的位置,相对亮度和背景污染,同时考虑事件分配的不确定性。包括事件到达时间信息的仿真研究表明,时间分量改善了事件消歧,而不仅仅是使用空间和频谱信息。与忽略事件到达时间信息的相应算法相比,所提出的方法正确分配了多达65个事件。我们将我们的方法应用到两个恒星X射线双星,UV Cet和HBC 515 A,与钱德拉观测。我们证明,我们的方法是能够消除的污染,由于一个强大的耀斑的紫外Cet B在其同伴40×弱在该事件期间,并在几个KS的时间尺度的光谱变化的证据,可以确定在HBC 515 Aa和HBC 515 Ab。
The analysis of individual X-ray sources that appear in a crowded field can easily be compromised by the misallocation of recorded events to their originating sources. Even with a small number of sources, which none the less have overlapping point spread functions, the allocation of events to sources is a complex task that is subject to uncertainty. We develop a Bayesian method designed to sift high-energy photon events from multiple sources with overlapping point spread functions, leveraging the differences in their spatial, spectral, and temporal signatures. The method probabilistically assigns each event to a given source. Such a disentanglement allows more detailed spectral or temporal analysis to focus on the individual component in isolation, free of contamination from other sources or the background. We are also able to compute source parameters of interest like their locations, relative brightness, and background contamination, while accounting for the uncertainty in event assignments. Simulation studies that include event arrival time information demonstrate that the temporal component improves event disambiguation beyond using only spatial and spectral information. The proposed methods correctly allocate up to 65more events than the corresponding algorithms that ignore event arrival time information. We apply our methods to two stellar X-ray binaries, UV Cet and HBC 515 A, observed withChandra. We demonstrate that our methods are capable of removing the contamination due to a strong flare on UV Cet B in its companion ≈40× weaker during that event, and that evidence for spectral variability at times-scales of a few ks can be determined in HBC 515 Aa and HBC 515 Ab.
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