Analysis of Binary O-type Star Systems Using Recurrent Neural Networks
This work presents an initial analysis of the estimation of effective temperature and surface gravity for simulated O-type binary systems using a recurrent neural network. The proposed system uses 34 equivalent-width measurements from the optical region of a stellar spectrum. Two methods were applied to observed IACOB spectra before normalization: the addition of a blackbody continuum and the addition of a second observed spectrum. The first method produces only small differences in the normalized line profiles and in the estimated physical parameters over 3700-7000~Å. In the second method, the secondary spectrum is added with contributions of 5, 10, 20, 30, 50, and 75 per cent, as define...
| Authors | Miguel Flores R., Luis J. Corral, Celia R. Fierro-Santillán et al. |
|---|---|
| Primary category | astro-ph.IM |
| Published | 16 October 2026 |
| Last updated at source | 16 October 2026 |
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