DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates

DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates

In the identification of new planetary candidates in transit surveys, the employment of deep learning models proved to be essential to efficiently analyze a continuously growing volume of photometric observations. To further improve the robustness of these models, it is necessary to exploit the comp...

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Bibliographic Details
Main Authors: Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astronomical Journal
Subjects:
Convolutional neural networks
Astronomy data analysis
Exoplanet detection methods
Online Access:https://doi.org/10.3847/1538-3881/addf4d
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https://doi.org/10.3847/1538-3881/addf4d

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