Search Results for author: H. M. Tabernero

Found 4 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

On the nature of VX Sagitarii: Is it a TZO, a RSG or a high-mass AGB star?

no code implementations18 Nov 2020 H. M. Tabernero, R. Dorda, I. Negueruela, E. Marfil

Secondly, unlike any known RSG or RHG, VX Sgr displays strong Rb I lines.

Solar and Stellar Astrophysics

StePar: an automatic code to infer stellar atmospheric parameters

1 code implementation15 Jul 2019 H. M. Tabernero, E. Marfil, D. Montes, J. I. González Hernández

Context: StePar is an automatic code written in Python 3. X designed to compute the stellar atmospheric parameters Teff, log(g), [Fe/H], and of FGK-type stars by means of the EW method.

Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics

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