Investigating supernova-remnant X-ray maps with dendrogram-based techniques

@misc{calderaro2026investigating,
  title = {{Investigating supernova-remnant X-ray maps with dendrogram-based techniques}},
  author = {S. Calderaro and G. Parisi and V. Sapienza and E. Greco and G. Lo Bosco and R. N. Mantegna and G. Marsella and S. Miccichè and S. Orlando and M. Miceli},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.35181},
  eprint = {2610.35181},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.35181},
  note = {CC BY 4.0},
}

TY  - UNPB
TI  - Investigating supernova-remnant X-ray maps with dendrogram-based techniques
AU  - S. Calderaro
AU  - G. Parisi
AU  - V. Sapienza
AU  - E. Greco
AU  - G. Lo Bosco
AU  - R. N. Mantegna
AU  - G. Marsella
AU  - S. Miccichè
AU  - S. Orlando
AU  - M. Miceli
PY  - 2026
DA  - 2026/10/26
PB  - arXiv
DO  - 10.48550/arxiv.2610.35181
UR  - https://arxiv.org/abs/2610.35181
AB  - X-ray images of supernova remnants provide important information regarding the spatial distribution of the physical and chemical parameters of the shocked plasma. Our objective is to provide a comprehensive and quantitative assessment of the similarities observed across narrow-band images and equivalent-width maps of a given supernova remnant. We also aim to perform comparative analyses between distinct remnants. We adopted two dendrogram-based techniques, namely a multivariate analysis and a deep-learning, graph-based approach (by exploring different metrics) for the study of Chandra X-ray maps of Cassiopeia A, G292.0+1.8, Tycho's SNR, Kepler's SNR, and W49B. We also tested the reliability of our results on synthetic X-ray maps produced from a 3D hydrodynamic simulation of Cassiopeia A. We identify clusters of narrow-band images (and equivalent-width maps) corresponding to emission lines of chemical elements that are expected to be synthesized in the same layers of the exploding star and/or that originate from plasma at similar temperatures. By comparing different objects, we clearly observe strong similarities among Type Ia remnants (namely Tycho's SNR and Kepler's SNR) and core-collapse remnants (Cassiopeia A and G292.0+1.8), with W49B being more similar to the latter objects. The methodology developed in this work provides a robust tool to measure the analogies and differences between narrow-band images and equivalent-width maps of a supernova remnant, offering clues on the distribution of the different chemical species and on the plasma temperature. Although tested on a limited sample of objects, the adoption of this tool for the classification of supernova remnants (Type Ia vs. core-collapse) yields promising results.
ER  -