A GRU neural network estimates photometric metallicities for RRab and RRc RR Lyrae stars from Gaia DR3 G-band light curves, reaching validation R-squared values of 0.94 and 0.96.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.SR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unified Deep Learning Approach for Estimating the Metallicities of RR Lyrae Stars Using light curves from Gaia Data Release 3
A GRU neural network estimates photometric metallicities for RRab and RRc RR Lyrae stars from Gaia DR3 G-band light curves, reaching validation R-squared values of 0.94 and 0.96.