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Article overview
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Spatio-temporal characterization of Cassiopeia A | | Yuto Ichinohe
; Toshiki Sato
; | | Date: |
5 Jan 2023 | | Abstract: | Analyzing the X-ray data of supernova remnants (SNRs) are among the most
challenging task in the current X-ray astronomy because SNRs are both spatially
extended and variable over time. We developed the strategy to track the
time-series properties of all the parts constituting a diffuse structure by
introducing the free-form image registration technique based on B-spline, and
demonstrated the methodology using the Chandra data of Cassiopeia A. We
successfully extracted the spatial distribution map of the time variability of
continuum luminosity. To our knowledge, this is the first comprehensive
characterization of such a dynamic diffuse target both in spatial and temporal
viewpoints. We found that each of the four clusters derived by applying k-means
algorithm to the extracted light curves has a clear physical meaning distinct
from other clusters, which shows that our method is not a mere technique for
automation but capable of capturing the underlying physics. | | Source: | arXiv, 2301.02026 | | Services: | Forum | Review | PDF | Favorites | |
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