{"paper":{"title":"SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South","license":"http://creativecommons.org/licenses/by/4.0/","headline":"SAGUI segments multi-band galaxy images by combining starlet decomposition with spectral-similarity grouping and copula recovery of faint features.","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.IM","authors_text":"Aarya A. Patil, Alberto Krone-Martins, Ana L. Chies-Santos, Andressa Wille, Celine Boehm, Emille E. O. Ishida, Kristen C. Dage, Lilianne Nakazono, Phelipe Darc, Rafael S. de Souza, Reinaldo R. Rosa, Rupesh Durgesh (for the COIN collaboration), Shravya Shenoy, Thallis Pessi","submitted_at":"2026-04-20T20:29:40Z","abstract_excerpt":"We present sagui, a modular framework for the analysis of multi-band imaging data in spatially resolved galaxies, with synergies to integral-field spectroscopy (IFS). Building on the spectro-spatial paradigm introduced by capivara for IFS data, sagui extends this approach to imaging datasets, enabling a coherent, pixel-level treatment of spatial and spectral information across multiple bands. The method follows a two-stage strategy: a starlet-based decomposition is first used to identify and mask spatial structures across multiple scales while suppressing noise, and a spectral-similarity analy"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"sagui extends this approach to imaging datasets, enabling a coherent, pixel-level treatment of spatial and spectral information across multiple bands... the framework incorporates a dedicated statistical treatment, based on a copula transform, to identify and recover faint, diffuse low-surface-brightness components.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that starlet-based multi-scale decomposition combined with spectral-similarity partitioning will produce coherent pixel groups that preserve spectral consistency, and that the copula transform will accurately recover low-surface-brightness components without introducing artifacts or false structures.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"SAGUI introduces a two-stage segmentation framework for multi-band galaxy images that combines starlet decomposition, spectral similarity analysis, and copula statistics to identify structures and recover low-surface-brightness components.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"SAGUI segments multi-band galaxy images by combining starlet decomposition with spectral-similarity grouping and copula recovery of faint features.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"7c496da36a7c8f1878bce00d965ec98d8f60756edf6ef23eca767d81c02d686b"},"source":{"id":"2604.18812","kind":"arxiv","version":2},"verdict":{"id":"2e9769e3-e4c0-496b-b1f4-9e74a42ca660","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-10T03:35:55.917394Z","strongest_claim":"sagui extends this approach to imaging datasets, enabling a coherent, pixel-level treatment of spatial and spectral information across multiple bands... the framework incorporates a dedicated statistical treatment, based on a copula transform, to identify and recover faint, diffuse low-surface-brightness components.","one_line_summary":"SAGUI introduces a two-stage segmentation framework for multi-band galaxy images that combines starlet decomposition, spectral similarity analysis, and copula statistics to identify structures and recover low-surface-brightness components.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that starlet-based multi-scale decomposition combined with spectral-similarity partitioning will produce coherent pixel groups that preserve spectral consistency, and that the copula transform will accurately recover low-surface-brightness components without introducing artifacts or false structures.","pith_extraction_headline":"SAGUI segments multi-band galaxy images by combining starlet decomposition with spectral-similarity grouping and copula recovery of faint features."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.18812/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_compliance","ran_at":"2026-05-20T03:38:58.416426Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"ce2dd356c53a0c32a5fa54fa916b5bf0f6c5f95da2201ba3f82246fb0f37ecce"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}