AstroInspect: A Web-based System to Organize, Assess, and Visually Inspect Astronomical Objects

Abstract The rapid growth of imaging and spectroscopic surveys has intensified the need for efficient tools that support visual inspection, a practice that remains essential for tasks such as classification, catalog refinement, and validation of automated methods. Existing solutions, however, often require the use of multiple platforms and complex workflows to integrate heterogeneous data. To address this challenge, we present the first release of AstroInspect ( https://astroinspect.github.io ), a web-based system designed to ensure seamless access to several astronomical resources. The system provides an intuitive graphical user interface that allows users to upload catalogs of objects defined by celestial coordinates. AstroInspect automatically enriches these catalogs with complementary information, including imaging, spectroscopic, and photometric data retrieved in real time from surveys such as the Sloan Digital Sky Survey, the Legacy Surveys, and the Southern Photometric Local Universe Survey (S-PLUS). To demonstrate its scientific utility, we used AstroInspect to identify H α emission-line galaxies within a 7 deg radius in the direction of the Hydra I cluster (also known as A1060) by visual inspection. Using a candidate set of 981 galaxies selected from S-PLUS photometric data, we produced a catalog of 80 galaxies with confirmed H α emission. These results highlight the potential of AstroInspect to support efficient visual inspection workflows.

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Publication Details

Journal
The Astronomical Journal
Published
2026-04-14
DOI
https://doi.org/10.3847/1538-3881/ae4fb1
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

AstroInspect: A Web-based System to Organize, Assess, and Visually Inspect Astronomical Objects

W. Schoenell, A. C. Krabbe, C. Mendes de Oliveira, R. Demarco et al.
The Astronomical Journal
Astronomy and Astrophysical Research
article

AstroInspect: A Web-based System to Organize, Assess, and Visually Inspect Astronomical Objects

W. Schoenell, A. C. Krabbe, C. Mendes de Oliveira, R. Demarco, A. Kanaan, A. V. Smith Castelli, Gustavo B. Oliveira Schwarz, Lilianne Nakazono, Antonio M. Saraiva, Maiara S. Carvalho, Tiago Ribeiro, Natanael M. Cardoso
article en

Abstract

Abstract The rapid growth of imaging and spectroscopic surveys has intensified the need for efficient tools that support visual inspection, a practice that remains essential for tasks such as classification, catalog refinement, and validation of automated methods. Existing solutions, however, often require the use of multiple platforms and complex workflows to integrate heterogeneous data. To address this challenge, we present the first release of AstroInspect ( https://astroinspect.github.io ), a web-based system designed to ensure seamless access to several astronomical resources. The system provides an intuitive graphical user interface that allows users to upload catalogs of objects defined by celestial coordinates. AstroInspect automatically enriches these catalogs with complementary information, including imaging, spectroscopic, and photometric data retrieved in real time from surveys such as the Sloan Digital Sky Survey, the Legacy Surveys, and the Southern Photometric Local Universe Survey (S-PLUS). To demonstrate its scientific utility, we used AstroInspect to identify H α emission-line galaxies within a 7 deg radius in the direction of the Hydra I cluster (also known as A1060) by visual inspection. Using a candidate set of 981 galaxies selected from S-PLUS photometric data, we produced a catalog of 80 galaxies with confirmed H α emission. These results highlight the potential of AstroInspect to support efficient visual inspection workflows.

The Astronomical JournalVol. 171(5)
Universidad Andrés Bello (CL), Universidade de São Paulo (BR), Carnegie Institution for Science (US), Universidade Federal de Santa Catarina (BR), Valongo Observatory (BR), Universidade Politecnica (MZ), Instituto de Física La Plata (AR), Carnegie Observatories (US), National Observatory (BR), NSF-DOE Vera C. Rubin Observatory (CL), Instituto de Geofísica y Astronomía (CU), Artificial Intelligence in Medicine (Canada) (CA), Universidad Nacional de La Plata (AR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Consejo Nacional de Investigaciones Científicas y Técnicas, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 20%
Astronomy and Astrophysical Research
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