A Near-infrared RR Lyrae census along the southern Galactic plane: the Milky Way's stellar fossil brought to light
Istv\'an D\'ek\'any, Gergely Hajdu, Eva K. Grebel, M\'arcio Catelan,, Felipe Elorrieta, Susana Eyheramendy, Daniel Majaess, Andr\'es Jord\'an

TL;DR
This study used near-infrared data and machine learning to identify and analyze nearly 1900 RR Lyrae stars along the southern Galactic plane, revealing insights into the Milky Way's ancient stellar populations and metallicity structure.
Contribution
It presents the first extensive near-infrared RR Lyrae census in the Galactic plane using novel data-driven methods and machine learning for characterization and metallicity estimation.
Findings
Identified 1892 high-confidence RR Lyrae stars in the Galactic plane.
Derived the metallicity distribution function showing structural similarities to other stellar populations.
Modelled the MDF with multiple components indicating metallicity gradients and different stellar populations.
Abstract
RR Lyrae stars (RRLs) are tracers of the Milky Way's fossil record, holding valuable information on its formation and early evolution. Owing to the high interstellar extinction endemic to the Galactic plane, distant RRLs lying at low Galactic latitudes have been elusive. We attained a census of 1892 high-confidence RRLs by exploiting the near-infrared photometric database of the VVV survey's disk footprint spanning 70 of Galactic longitude, using a machine-learned classifier. Novel data-driven methods were employed to accurately characterize their spatial distribution using sparsely sampled multi-band photometry. The RRL metallicity distribution function (MDF) was derived from their -band light curve parameters using machine-learning methods. The MDF shows remarkable structural similarities to both the spectroscopic MDF of red clump giants and the MDF of bulge RRLs.…
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