EBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information. Issue 4 (7th June 2021)
- Record Type:
- Journal Article
- Title:
- EBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information. Issue 4 (7th June 2021)
- Main Title:
- EBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information
- Authors:
- Meyer, Antoine D
van Dyk, David A
Kashyap, Vinay L
Campos, Luis F
Jones, David E
Siemiginowska, Aneta
Zezas, Andreas - Abstract:
- ABSTRACT: 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 65${{\ \rm per\ cent}}$ more 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 with Chandra . We demonstrate that our methods areABSTRACT: 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 65${{\ \rm per\ cent}}$ more 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 with Chandra . 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. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 506:Issue 4(2021)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 506:Issue 4(2021)
- Issue Display:
- Volume 506, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 506
- Issue:
- 4
- Issue Sort Value:
- 2021-0506-0004-0000
- Page Start:
- 6160
- Page End:
- 6180
- Publication Date:
- 2021-06-07
- Subjects:
- methods: statistical -- techniques: image processing -- X-rays: binaries
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stab1456 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25376.xml