English

Spatio-temporal characterization of Cassiopeia A

High Energy Astrophysical Phenomena 2023-04-12 v1 Instrumentation and Methods for Astrophysics

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.

Cite

@article{arxiv.2301.02026,
  title  = {Spatio-temporal characterization of Cassiopeia A},
  author = {Yuto Ichinohe and Toshiki Sato},
  journal= {arXiv preprint arXiv:2301.02026},
  year   = {2023}
}

Comments

13 pages, 6 figures, Accepted for publication in ApJ. The movie corresponding to Fig.3 (which demonstrates the result better) is available at http://s.rikkyo.ac.jp/IchinoheSato2023

R2 v1 2026-06-28T08:03:39.988Z