253 citations · 1.5k across the 30 of their papers we have counts for
15 papers · 1 filter
Identification of unresolved binaries in the VVV b294 tile: A Pro-Am collaboration using the Virtual Observatory
M. Cortés-Contreras, P. Cruz, E. Solano +22
Stellar binaries and multiples are common objects. Their identification and characterization are primarily limited by the angular resolution of current instrumentation, survey dept…
Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs
P. Mas-Buitrago, A. González-Marcos, E. Solano +9
Deep learning (DL) techniques are a promising approach among the set of methods used in the ever-challenging determination of stellar parameters in M dwarfs. In this context, trans…
Substellar science in the wake of the ESA Euclid space mission
Eduardo L. Martín, Hervé Bouy, Diego Martín +16
The ESA space mission Euclid was launched on July 1st, 2023 and is undergoing its science verification phase. In this invited review we show that Euclid means a before and an after…
Wide companions to M and L subdwarfs with Gaia and the Virtual Observatory
J. González-Payo, M. Cortés-Contreras, N. Lodieu +3
The aim of the project is to identify wide common proper motion companions to a sample of spectroscopically confirmed M and L metal-poor dwarfs (also known as subdwarfs) to investi…
The CARMENES search for exoplanets around M dwarfs -- A deep learning approach to determine fundamental parameters of target stars
V. M. Passegger, A. Bello-García, J. Ordieres-Meré +26
Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network arch…
CARMENES input catalogue of M dwarfs V. Luminosities, colours, and spectral energy distributions
C. Cifuentes, J. A. Caballero, M. Cortes-Contreras +15
The relevance of M dwarfs in the search for potentially habitable Earth-sized planets has grown significantly in the last years. In our on-going effort to comprehensively and accur…