eBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information
نویسندگان
چکیده
ABSTRACT The analysis of individual X-ray sources that appear in a crowded field can easily be compromised by the misallocation recorded events to their originating sources. Even with small number sources, which none less have overlapping point spread functions, allocation is complex task subject uncertainty. We develop Bayesian method designed sift high-energy photon from multiple leveraging differences spatial, spectral, and temporal signatures. probabilistically assigns each event given source. Such disentanglement allows more detailed spectral or focus on component isolation, free contamination other background. are also able compute source parameters interest like locations, relative brightness, background contamination, while accounting for uncertainty assignments. Simulation studies include arrival time information demonstrate improves disambiguation beyond using only spatial information. proposed methods correctly allocate up 65${{\ \rm per\ cent}}$ than corresponding algorithms ignore apply our two stellar binaries, UV Cet HBC 515 A, observed Chandra. capable removing due strong flare B its companion ≈40× weaker during event, evidence variability at times-scales few ks determined Aa Ab.
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2021
ISSN: ['0035-8711', '1365-8711', '1365-2966']
DOI: https://doi.org/10.1093/mnras/stab1456