{
  "abstract": "The prediction of transition remains challenging because the receptivity amplitude is usually prescribed rather than measured. This work uses Direct Simulation Monte Carlo (DSMC) to study an unforced Mach 6 nitrogen boundary layer over a 120 mm flat plate, with no imposed inlet wave, wall signal, modal shape, or disturbance spectrum. The retained unsteady field is the intrinsic finite-particle stochastic fluctuation field carried by the DSMC representation. Changing the DSMC particle count provides an independent numerical control parameter that sets a predictable finite-particle noise floor while preserving the time-averaged boundary-layer flow. Dynamic Mode Decomposition (DMD) is then applied to unforced DSMC snapshots. The DMD eigenvalues and spatial modes estimate the quantities that appear in the LST normal-mode description, including frequency, temporal growth or decay, wavenumber, wavelength, phase speed, mode location, and amplification envelope. LST is used after extraction to test whether the data-derived structures occupy the expected second-mode band. The results show that DSMC data can connect a measured finite-particle stochastic disturbance level to second-mode instability dynamics without imposed disturbance spectra.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: AIAA AVIATION 2026 Forum, AIAA Paper 2026-4737 (2026)",
  "arxiv": "2610.36248",
  "author_total": 4,
  "authors": [
    {
      "name": "Mert Senkardesler"
    },
    {
      "name": "Irmak T. Karpuzcu"
    },
    {
      "name": "Deborah A. Levin"
    },
    {
      "name": "Vassilis Theofilis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8fn337ga0dfzv.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.36248",
  "fulltext_url": null,
  "id": "8fn337ga0dfzv",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.36248",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.comp-ph"
    ],
    [
      "arxiv",
      "physics.flu-dyn"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.36248",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8fn337ga0dfzv.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:50Z",
      "native_id": "2610.36248",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.36248"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.comp-ph",
      "subfield": "computational"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.flu-dyn",
      "subfield": "fluid-dynamics"
    }
  ],
  "title": "DSMC Study of Hypersonic Boundary-Layer Unsteadiness Using Data-Driven Analysis",
  "title_text": "DSMC Study of Hypersonic Boundary-Layer Unsteadiness Using Data-Driven Analysis",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:50Z",
  "url": "https://research.draconitic.com/paper/8fn337ga0dfzv",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.2514/6.2026-4737",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}