Wavelet-based image decomposition method for NuSTAR stray light background studies
| Autor: | Mukhin, Andrey, Krivonos, Roman, Vikhlinin, Alexey, Grefenstette, Brian, Madsen, Kristin, Wik, Daniel |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Astronomical Telescopes, Instruments, and Systems 9(4), 048001 (26 October 2023) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1117/1.JATIS.9.4.048001 |
| Popis: | The large side aperture of the NuSTAR telescope for unfocused photons (so-called stray light) is a known source of rich astrophysical information. To support many studies based on the NuSTAR stray light data, we present a fully automatic method for determining detector area suitable for background analysis and free from any kind of focused X-ray flux. The method's main idea is `a trous' wavelet image decomposition, capable of detecting structures of any spatial scale and shape, which makes the method of general use. Applied to the NuSTAR data, the method provides a detector image region with the highest possible statistical quality, suitable for the NuSTAR stray light studies. We developed an open-source Python nuwavdet package, which implements the presented method. The package contains subroutines to generate detector image region for further stray light analysis and/or to produce a list of detector bad-flagged pixels for processing in the NuSTAR Data Analysis Software for conventional X-ray analysis. Comment: 9 pages, 10 figures. Published in Journal of Astronomical Telescopes, Instruments, and Systems (JATIS) |
| Databáze: | arXiv |
| Externí odkaz: |
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