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20242026
most citedLeveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars

5 citations · 9 across the 5 of their papers we have counts for

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astro-ph.SR2025

Unified Deep Learning Approach for Estimating the Metallicities of RR Lyrae Stars Using light curves from Gaia Data Release 3

Lorenzo Monti, Tatiana Muraveva, Alessia Garofalo +2

RR Lyrae stars (RRLs) are old pulsating variables widely used as metallicity tracers due to the correlation between their metal abundances and light curve morphology. With ESA Gaia…

astro-ph.SR2024★ 1 cited

Metallicity of RR Lyrae stars from the Gaia Data Release 3 catalogue computed with Machine Learning algorithms

Tatiana Muraveva, Andrea Giannetti, Gisella Clementini +2

We present new and relations for fundamental-mode (RRab) and first-overtone mode (RRc) RR Lyrae stars (RRLs), respectively.…