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Improving reddening estimates for RR Lyrae stars in the Gaia bands: a machine learning approach to the PAC(Z) relation
A. Garofalo, T. Muraveva, L. Monti +3
RR Lyrae stars are essential tracers of old stellar populations and distance indicators across the Milky Way and nearby galaxies. However, their use as standard candles is limited…
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…
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.…
Gaia Focused Product Release: Sources from Service Interface Function image analysis -- Half a million new sources in omega Centauri
Gaia Collaboration, K. Weingrill, A. Mints +400
Gaia's readout window strategy is challenged by very dense fields in the sky. Therefore, in addition to standard Gaia observations, full Sky Mapper (SM) images were recorded for ni…
Gaia Focused Product Release: Radial velocity time series of long-period variables
Gaia Collaboration, M. Trabucchi, N. Mowlavi +403
The third Gaia Data Release (DR3) provided photometric time series of more than 2 million long-period variable (LPV) candidates. Anticipating the publication of full radial-velocit…
Gaia Data Release 3. Summary of the variability processing and analysis
L. Eyer, M. Audard, B. Holl +55
Context. Gaia has been in operations since 2014. The third Gaia data release expands from the early data release (EDR3) in 2020 by providing 34 months of multi-epoch observations t…