Search Results for author: J. A. Caballero

Found 6 papers, 1 papers with code

Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs

no code implementations14 May 2024 P. Mas-Buitrago, A. González-Marcos, E. Solano, V. M. Passegger, M. Cortés-Contreras, J. Ordieres-Meré, A. Bello-García, J. A. Caballero, A. Schweitzer, H. M. Tabernero, D. Montes, C. Cifuentes

Our results are broadly consistent with those of recent studies using CARMENES data, with a systematic deviation in our Teff scale towards hotter values for estimations above 3750 K. Furthermore, our methodology mitigates the deviations in metallicity found in previous DL techniques due to the synthetic gap.

Transfer Learning

A Machine Learning approach for correcting radial velocities using physical observables

no code implementations30 Jan 2023 M. Perger, G. Anglada-Escudé, D. Baroch, M. Lafarga, I. Ribas, J. C. Morales, E. Herrero, P. J. Amado, J. R. Barnes, J. A. Caballero, S. V. Jeffers, A. Quirrenbach, A. Reiners

As case studies we use observations of two known stars (Eps Eridani and AUMicroscopii), both with clear signals of activity induced RV variability.

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