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

Fuente: arXiv
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Autori principali: de Souza, Rafael S., Wille, Andressa, Shenoy, Shravya, Patil, Aarya A., Krone-Martins, Alberto, Chies-Santos, Ana L., Boehm, Celine, Rosa, Reinaldo R., Pessi, Thallis, Ishida, Emille E. O., Dage, Kristen C., Nakazono, Lilianne, Darc, Phelipe, Durgesh, Rupesh
Natura: Preprint
Pubblicazione: 2026
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author de Souza, Rafael S.
Wille, Andressa
Shenoy, Shravya
Patil, Aarya A.
Krone-Martins, Alberto
Chies-Santos, Ana L.
Boehm, Celine
Rosa, Reinaldo R.
Pessi, Thallis
Ishida, Emille E. O.
Dage, Kristen C.
Nakazono, Lilianne
Darc, Phelipe
Durgesh, Rupesh
author_facet de Souza, Rafael S.
Wille, Andressa
Shenoy, Shravya
Patil, Aarya A.
Krone-Martins, Alberto
Chies-Santos, Ana L.
Boehm, Celine
Rosa, Reinaldo R.
Pessi, Thallis
Ishida, Emille E. O.
Dage, Kristen C.
Nakazono, Lilianne
Darc, Phelipe
Durgesh, Rupesh
contents 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 analysis then partitions the image into coherent pixel groups that preserve spectral consistency. In addition to compact and high-contrast structures, the framework incorporates a dedicated statistical treatment, based on a copula transform, to identify and recover faint, diffuse low-surface-brightness components. We demonstrate the method across a diverse range of galaxy morphologies, highlighting its ability to characterize complex spatial structures, including clumps, bars, interacting systems, and low-surface-brightness features. As a case study, we apply it to eleven morphologically diverse galaxies from the James Webb Space Telescope Advanced Deep Extragalactic Survey in the GOODS--South field. sagui is released under an MIT license and is available at https://rafaelsdesouza.github.io/sagui/.
format Preprint
id arxiv_https___arxiv_org_abs_2604_18812
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
de Souza, Rafael S.
Wille, Andressa
Shenoy, Shravya
Patil, Aarya A.
Krone-Martins, Alberto
Chies-Santos, Ana L.
Boehm, Celine
Rosa, Reinaldo R.
Pessi, Thallis
Ishida, Emille E. O.
Dage, Kristen C.
Nakazono, Lilianne
Darc, Phelipe
Durgesh, Rupesh
Instrumentation and Methods for Astrophysics
Astrophysics of Galaxies
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 analysis then partitions the image into coherent pixel groups that preserve spectral consistency. In addition to compact and high-contrast structures, the framework incorporates a dedicated statistical treatment, based on a copula transform, to identify and recover faint, diffuse low-surface-brightness components. We demonstrate the method across a diverse range of galaxy morphologies, highlighting its ability to characterize complex spatial structures, including clumps, bars, interacting systems, and low-surface-brightness features. As a case study, we apply it to eleven morphologically diverse galaxies from the James Webb Space Telescope Advanced Deep Extragalactic Survey in the GOODS--South field. sagui is released under an MIT license and is available at https://rafaelsdesouza.github.io/sagui/.
title SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
topic Instrumentation and Methods for Astrophysics
Astrophysics of Galaxies
url https://arxiv.org/abs/2604.18812