{
  "abstract": "Wide-field interferometric imaging with non-coplanar arrays is computationally expensive, particularly as we move towards imaging large datasets from next-generation telescopes such as the Square Kilometre Array (SKA). The dominant imaging cost arises during the gridding and degridding steps, where large $w$-terms require correction. In $w$-projection, this correction uses $w$-dependent convolution kernels whose support grows rapidly with field of view (FoV) and maximum $|w|$. In $w$-stacking, visibilities are partitioned into discrete $w$-layers, each requiring a 2D Fourier transform and image-domain phase correction; the required number of layers increases with $|w|_{\\max}$ and FoV. We present BRISK (Baseline-aware Rank-compressed Interferometric Sky-imaging Toolkit), a wide-field interferometric imaging algorithm that accelerates $w$-projection by exploiting the low-rank structure of its convolution kernels. For each $w$-plane, the full 2D gridding kernel is compressed using a truncated randomised singular value decomposition (SVD), yielding a compact representation from which the SVD-compressed kernel can be reconstructed on the fly while preserving the dominant kernel energy. We benchmark memory usage, runtime, and accuracy against CASA's $w$-projection and WSClean's $w$-stacking, $w$-gridding and image-domain gridding algorithms on a simulated $15 \\times 15$ grid of point sources, as well as the SKA1-Low GLEAM simulated measurement sets. BRISK runs up to 2443 times faster than CASA, and up to 132 times faster than WSClean, while maintaining a peak-flux bias of less than 1% at the largest image sizes and comparable peak memory usage.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.23671",
  "author_total": 2,
  "authors": [
    {
      "name": "Oliver Ogden"
    },
    {
      "name": "Wesley Armour"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2gqav83k0w0xr.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.23671",
  "fulltext_url": null,
  "id": "2gqav83k0w0xr",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.23671",
  "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.IM"
    ],
    [
      "openalex",
      "3103|Radio Astronomy Observations and Technology"
    ]
  ],
  "openalex": "W7222951993",
  "pdf_url": "https://arxiv.org/pdf/2610.23671",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2gqav83k0w0xr.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:32Z",
      "native_id": "2610.23671",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.23671"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "BRISK: An accelerated wide-field imager for radio astronomy",
  "title_text": "BRISK: An accelerated wide-field imager for radio astronomy",
  "type": "preprint",
  "updated_at": "2026-10-30T12:33:28Z",
  "url": "https://research.draconitic.com/paper/2gqav83k0w0xr",
  "venue": "arXiv",
  "versions": []
}