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An FPCA-enhanced Ensemble Learning Framework for Photometric Identification of Type Ia Supernovae

Reza, Moonzarin et al.
arXiv (All) · Papers
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high-energy-astrophysical-phenomena
Type Ia supernovae (SNe Ia) are essential tools for addressing key cosmic questions, including the Hubble tension and the nature of dark energy. Modern surveys are predominantly photometry-based, making the construction of a clean photometric SNe Ia sample crucial. In this study, we investigate whet
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