{
  "abstract": "The morphology of turbulent interstellar gas reflects the coupled action of turbulence, magnetic fields, and self-gravity, but density amplitude alone does not uniquely specify dynamical state. We use ScaleAware-JEPA to learn multiscale structural coordinates from density alone and test whether these learned coordinates organize dynamical states more clearly than density-based conditioning. Clump-like, filament-like, and diffuse-like latent neighborhoods show an ordered progression in turbulent velocity scaling that is not reproduced by density-selected populations. Velocity and magnetic fields are withheld during training and used afterward as post-training physical diagnostics: MHD states occupy ordered but overlapping regions of the learned representation, and dimensionless dynamical balances vary coherently across the full latent atlas. These results show that a representation learned from density morphology can acquire a geometry that is systematically organized by established MHD diagnostics. Multiscale morphology therefore provides a useful coordinate for dynamical state beyond density amplitude alone.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.36833",
  "author_total": 3,
  "authors": [
    {
      "name": "Mengke Zhao"
    },
    {
      "name": "Guang-Xing Li"
    },
    {
      "name": "Keping Qiu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2c2tmk9tfchvg.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.36833",
  "fulltext_url": null,
  "id": "2c2tmk9tfchvg",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.36833",
  "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.GA"
    ],
    [
      "arxiv",
      "astro-ph.IM"
    ],
    [
      "openalex",
      "3103|Astrophysics and Star Formation Studies"
    ]
  ],
  "openalex": "W7214999363",
  "pdf_url": "https://arxiv.org/pdf/2609.36833",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2c2tmk9tfchvg.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:31Z",
      "native_id": "2609.36833",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.36833"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.GA",
      "subfield": "galaxies"
    },
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "Morphological Identification of Dynamical Regimes in MHD Turbulence with ScaleAware-JEPA",
  "title_text": "Morphological Identification of Dynamical Regimes in MHD Turbulence with ScaleAware-JEPA",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:31Z",
  "url": "https://research.draconitic.com/paper/2c2tmk9tfchvg",
  "venue": "arXiv",
  "versions": []
}