{
  "abstract": "Accurate and precise mass modelling of strong lensing systems is essential for extracting insights into cosmology, galaxy environments, and the nature of dark matter. The Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP), which has mapped $\\sim$1000 square degrees of the sky, discovered over 1000 definite or probable galaxy-scale gravitational lens candidates. As the resolution of ground-based imaging poses challenges for accurate lens modelling, high-resolution imaging is traditionally sought after for detailed analyses of these systems. In this work, we instead propose applying the STARRED algorithm, which leverages starlet wavelet regularisation, as a preprocessing step before lens modelling to maximise the scientific output of the large HSC-SSP sample. We test this approach on seven HSC-like mock lensing systems with different lensing configurations. Our results show that the resolution boost from $\\sim$0.6\" to $\\sim$0.15\" enables improved accuracy and sub-3% precision measurements of key lensing parameters such as the Einstein radius and the mass axis ratio for ground-based images. These results pave the way for accurate measurements of key strong lensing quantities from a large sample of ground-based observations.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.34305",
  "author_total": 4,
  "authors": [
    {
      "name": "Eric Paic"
    },
    {
      "name": "Kenneth C. Wong"
    },
    {
      "name": "Anupreeta More"
    },
    {
      "name": "Anton T. Jaelani"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7khz3es9xccdz.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.34305",
  "fulltext_url": null,
  "id": "7khz3es9xccdz",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.34305",
  "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": null,
  "pdf_url": "https://arxiv.org/pdf/2609.34305",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7khz3es9xccdz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:12Z",
      "native_id": "2609.34305",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.34305"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.GA",
      "subfield": "galaxies"
    },
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "Improving Lens Modelling from Ground-Based Imaging with Deconvolution",
  "title_text": "Improving Lens Modelling from Ground-Based Imaging with Deconvolution",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:12Z",
  "url": "https://research.draconitic.com/paper/7khz3es9xccdz",
  "venue": "arXiv",
  "versions": []
}