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pith:SM62JGEN

pith:2026:SM62JGENFJSPEVJMYA7LJ4GXST
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SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South

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

SAGUI segments multi-band galaxy images by combining starlet decomposition with spectral-similarity grouping and copula recovery of faint features.

arxiv:2604.18812 v2 · 2026-04-20 · astro-ph.IM · astro-ph.GA

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Claims

C1strongest 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.

C2weakest 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.

C3one 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.

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First computed 2026-06-11T01:09:35.853967Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

933da4988d2a64f2552cc03eb4f0d794d1634e99cbe4d7fdd4f7aa30c43c2787

Aliases

arxiv: 2604.18812 · arxiv_version: 2604.18812v2 · doi: 10.48550/arxiv.2604.18812 · pith_short_12: SM62JGENFJSP · pith_short_16: SM62JGENFJSPEVJM · pith_short_8: SM62JGEN
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Canonical record JSON
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