# Synapses of active galactic nuclei: - Comparing X-ray and optical classifications using artificial neural networks

@article{GonzlezMartn2014SynapsesOA,
title={Synapses of active galactic nuclei: - Comparing X-ray and optical classifications using artificial neural networks},
author={Omaira Gonz{\'a}lez-Mart{\'i}n and Diana D{\'i}az-Gonz{\'a}lez and J. A. Acosta-Pulido and J. Masegosa and I. E. Papadakis and Jos{\'e} Miguel Rodr{\'i}guez-Espinosa and Isabel M{\'a}rquez and Lorena Hern{\'a}ndez-Garc{\'i}a},
journal={Astronomy and Astrophysics},
year={2014},
volume={567}
}
• Published 3 April 2014
• Physics
• Astronomy and Astrophysics
(Abridged) Many classes of active galactic nuclei (AGN) have been defined entirely throughout optical wavelengths while the X-ray spectra have been very useful to investigate their inner regions. However, optical and X-ray results show many discrepancies that have not been fully understood yet. The aim of this paper is to study the "synapses" between the X-ray and optical classifications. For the first time, the new EFLUXER task allowed us to analyse broad band X-ray spectra of emission line…
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