TL;DR
This study uses near-infrared surveys and machine learning to discover and analyze distant Cepheids in the Milky Way's obscured far side, revealing new insights into Galactic structure and extinction.
Contribution
It presents the first large-scale census of distant classical and type II Cepheids in the Milky Way's far side using machine learning and near-infrared data, uncovering new Galactic features.
Findings
Discovered 640 classical Cepheids with high extinction.
Identified over 500 type II Cepheids, mainly in the bulge.
Mapped Galactic warp and disk substructures.
Abstract
The far side of the Milky Way's disk is one of the most concealed parts of the known Universe due to extremely high interstellar extinction and point source density toward low Galactic latitudes. Large time-domain photometric surveys operating in the near-infrared hold great potential for the exploration of these vast uncharted areas of our Galaxy. We conducted a census of distant classical and type II Cepheids along the southern Galactic mid-plane using near-infrared photometry from the VISTA Variables in the V\'ia L\'actea survey. We performed a machine-learned classification of the Cepheids based on their infrared light curves using a convolutional neural network. We have discovered 640 distant classical Cepheids with up to ~40 magnitudes of visual extinction, and over 500 type II Cepheids, most of them located in the inner bulge. Intrinsic color indices of individual Cepheids were…
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