{
  "annotation_id": "ffeb8f1c-d3b1-4d22-a9a6-df64bf23c090",
  "date_created": "2026-02-17T05:53:16.071000Z",
  "date_modified": "2026-02-17T05:53:16.071000Z",
  "file_hash": "c95bb4294d393d0e46e90c8b6d65d01954e4640a95604826bea01e7b70c3d23c",
  "private": false,
  "record": {
    "abstract": "On the framework of relativistic force-free magnetohydrodynamic (MHD) turbulence, we explore the fundamental properties of strong and weak turbulent cascades using high-resolution numerical simulations in the presence of a uniform background magnetic field. We find that (1) power spectra and scale-dependent anisotropies both for the strong and weak turbulence resemble those observed in the non-relativistic MHD turbulence; (2) intermittency of magnetic fields in strong turbulence is stronger than that in the weak one; (3) generated Alfv\\\u0027en modes show similar energy spectra and scale-dependent anisotropies to those of non-relativistic case; (4) generated fast modes present a power spectrum similar to that of Alfv\\\u0027en modes, with a strong (for strong turbulence) or weak (for weak turbulence) scale-dependent anisotropy, which are significantly different from non-relativistic turbulence; and (5) applications of our numerical results to neutron star magnetospheres show that the strong (or moderately weak) turbulent cascade can explain the X-ray radiation of the Vela pulsar. Our study is of great significance for understanding energy transfer, magnetic field evolution, and particle acceleration mechanisms in extreme astrophysical environments.",
    "arxiv_id": "2601.08093",
    "authors": [
      "Na-Na Gao",
      "Jian-Fu Zhang",
      "Jungyeon Cho"
    ],
    "categories": [
      "astro-ph.HE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Cascade Processes of Strong and Weak MHD Turbulence",
    "url": "https://arxiv.org/abs/2601.08093",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c597c8fb-0c69-4c07-a25f-8edec3eebc60",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}