{
  "abstract": "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.35181",
  "author_total": 10,
  "authors": [
    {
      "name": "S. Calderaro"
    },
    {
      "name": "G. Parisi"
    },
    {
      "name": "V. Sapienza"
    },
    {
      "name": "E. Greco"
    },
    {
      "name": "G. Lo Bosco"
    },
    {
      "name": "R. N. Mantegna"
    },
    {
      "name": "G. Marsella"
    },
    {
      "name": "S. Miccichè"
    },
    {
      "name": "S. Orlando"
    },
    {
      "name": "M. Miceli"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3cfskgncrnk9a.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.35181",
  "fulltext_url": null,
  "id": "3cfskgncrnk9a",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.35181",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.HE"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.35181",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3cfskgncrnk9a.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:35Z",
      "native_id": "2610.35181",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.35181"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.HE",
      "subfield": "high-energy-astrophysics"
    }
  ],
  "title": "Investigating supernova-remnant X-ray maps with dendrogram-based techniques",
  "title_text": "Investigating supernova-remnant X-ray maps with dendrogram-based techniques",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:35Z",
  "url": "https://research.draconitic.com/paper/3cfskgncrnk9a",
  "venue": "arXiv",
  "versions": []
}