2024
DOI: 10.1007/s10686-024-09969-1
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Deep learning-based prediction approaches of binary star parameters

Islam Helmy,
Mohamed Ismail,
Doaa Eid

Abstract: The precise computation of binary star parameters is crucial for understanding their formation, evolution, and dynamics. However, large datasets of available astronomical measurements require substantial effort for computing using classic astronomical methods. Deep learning (DL) is a promising approach that can provide a proper solution for estimating the parameters and reducing the burden of the lengthy procedures of astronomical computations. This study proposes two DL-based models for estimating binary star… Show more

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