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Multivariate Statistical Analysis of the Sample of AGN

Published online by Cambridge University Press:  07 August 2017

A. R. Petrosian
Affiliation:
Byurakan Astrophysical Observatory, Armenia, USSR
M. Sh. Karapetian
Affiliation:
Byurakan Astrophysical Observatory, Armenia, USSR

Abstract

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Radio, FIR, spectral and X-ray data by 11 parameters for the AGNs samples of Sy1, Sy1.5, Sy2 types and LINERs are compiled. All samples are processed by the multivariate statistical methods including factor and discriminant analysises. The following results are obtained:

  1. LINERs by principal factors, determining NLR and the central engine are clearly separated from the Seyfert galaxies.

  2. All types of the Seyfert galaxies in all have the same NLR.

  3. Intermediate Seyfert type is real. These AGNs are much more similar to Sy1 type objects than to Sy2.

Type
Part 1: Surveys, Luminosity Functions, and Evolution
Copyright
Copyright © Kluwer 1989 

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