492 citations · 2k across the 71 of their papers we have counts for
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The elusive tidal tails of the Milky Way globular cluster NGC 7099
A. E. Piatti, J. A. Carballo-Bello, M. D. Mora +3
We present results on the extra-tidal features of the Milky Way globular cluster NGC 7099, using deep gr photometry obtained with the Dark Energy Camera (DECam). We reached nearly…
Recovering variable stars in large surveys: EA Algol-type class in the Catalina Survey
A. Carmo, C. E. Ferreira Lopes, A. Papageorgiou +5
The discovery and characterization of Algol eclipsing binaries (EAs) provide an opportunity to contribute for a better picture of the structure and evolution of low-mass stars. How…
A revised view of the Canis Major stellar overdensity with DECam and Gaia: new evidence of a stellar warp of blue stars
Julio A. Carballo-Bello, David Martínez-Delgado, Jesús M. Corral-Santana +4
We present DECam imaging combined with Gaia DR2 data to study the Canis Major overdensity. The presence of the so-called Blue Plume stars in a low-pollution area of the color-magni…
Using classical Cepheids to study the far side of the Milky Way disk: I. Spectroscopic classification and the metallicity gradient
J. H. Minniti, L. Sbordone, A. Rojas-Arriagada +9
The structure, kinematics, and chemical composition of the far side of the Milky Way disk, beyond the bulge, are still to be revealed. Classical Cepheids (CCs) are young and lumino…
The VVV Infrared Variability Catalog (VIVA-I)
C. E. Ferreira Lopes, N. J. G. Cross, M. Catelan +17
Thanks to the VISTA Variables in the Via Lactea (VVV) ESO Public Survey it is now possible to explore a large number of objects in those regions. This paper addresses the variabili…
Scalable End-to-end Recurrent Neural Network for Variable star classification
Ignacio Becker, Karim Pichara, Márcio Catelan +3
During the last decade, considerable effort has been made to perform automatic classification of variable stars using machine learning techniques. Traditionally, light curves are r…