{
  "abstract": "Foreground cleaning is a major challenge for H\\,{\\sc i} 21 cm intensity mapping, particularly in the presence of a chromatic instrumental beam that couples angular foreground structure into the frequency direction and under incomplete sky coverage. We introduce JESSNet, a beam-aware, mask-compatible foreground-cleaning framework for single-dish intensity mapping. Building on SDecGMCA, JESSNet introduces three main extensions: a multiscale angular decomposition with scale-dependent mixing matrices and channel selection, a learned spherical-wavelet ''learnlet'' sparse regularization operator, and a mask-constrained reconstruction applicable to Galactic masks and survey footprints. We test JESSNet on simulated SKA-MID-like observations over $900\\text{-}1300\\,{\\rm MHz}$ ($z\\simeq0.09\\text{-}0.58$), including H\\,{\\sc i} emission, Galactic and extragalactic foregrounds, thermal noise, and an oscillating MeerKAT-inspired chromatic beam. The multiscale reconstruction accurately recovers the angular and frequency power spectra of the input H\\,{\\sc i} signal, improves the recovery at low and intermediate angular scales relative to a single-scale implementation, and reduces residual beam-induced spectral features. JESSNet also remains effective for a synthetic survey footprint, preserving the H\\,{\\sc i} power spectra under incomplete sky coverage. The code and analysis pipeline are publicly released to facilitate reproducibility and future applications to simulated and observational data.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.06199",
  "author_total": 6,
  "authors": [
    {
      "name": "Athanasia Gkogkou"
    },
    {
      "name": "Victor Bonjean"
    },
    {
      "name": "Jean-Luc Starck"
    },
    {
      "name": "Pauline Gorbatchev"
    },
    {
      "name": "Marta Spinelli"
    },
    {
      "name": "Panagiotis Tsakalides"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fk3drhkjahcpw.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.06199",
  "fulltext_url": null,
  "id": "fk3drhkjahcpw",
  "issns": [],
  "landing_url": "https://hal.science/hal-05842248v1",
  "language": "en",
  "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.CO"
    ],
    [
      "hal",
      "0.phys"
    ],
    [
      "hal",
      "1.phys.astr"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.06199",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/fk3drhkjahcpw.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:02Z",
      "native_id": "hal-05842248",
      "source": "hal",
      "url": "https://hal.science/hal-05842248v1"
    },
    {
      "first_seen": "2026-10-30T12:27:01Z",
      "native_id": "2610.06199",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.06199"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.CO",
      "subfield": "cosmology"
    },
    {
      "field": "physics",
      "origin": "hal:0.phys",
      "subfield": "general"
    }
  ],
  "title": "JESSNet: Joint dEconvolution and Sparse Separation Network for HI 21 cm foreground cleaning",
  "title_text": "JESSNet: Joint dEconvolution and Sparse Separation Network for HI 21 cm foreground cleaning",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:01Z",
  "url": "https://research.draconitic.com/paper/fk3drhkjahcpw",
  "venue": "HAL",
  "versions": []
}