Details

Autor(en) / Beteiligte

• Gonzalez-Martin, O
• Diaz-Gonzalez, D
• Acosta-Pulido, J A
• Masegosa, J
• Papadakis, I E
• Rodriguez-Espinosa, J M
• Marquez, I
• Hernandez-Garcia, L

Titel

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

Ist Teil von

• Astronomy and astrophysics (Berlin), 2014-07, Vol.567, p.np-np

Erscheinungsjahr

2014

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Many classes of active galactic nuclei (AGN) have been defined entirely through optical wavelengths, while the X-ray spectra have been very useful to investigate their inner regions. The main purpose of the present paper is to study the synapses between X-ray and optical AGN classifications. For the first time, the newly implemented EFLUXER task allowed us to analyse broad band X-ray spectra of a sample of emission-line nuclei without any prior spectral fitting. Our sample comprises 162 spectra observed with XMM-Newton/pn of 90 local emission line nuclei in the Palomar sample. It includes, from the optical point of view, starbursts (SB), transition objects (T2), low-ionisation nuclear emission line regions (L1.8 and L2), and Seyfert nuclei (S1, S1.8, and S2). We used artificial neural networks (ANNs) to study the connection between X-ray spectra and optical classes. The ANN trained in this paper is not only useful for studying the synergies between the optical and X-ray classifications, but might also be used to infer optical properties from X-ray spectra in surveys like eRosita.