On the evolution of Seyfert galaxies, BL Lacertae objects and flat-spectrum radio quasars

Iyida, E. U.; Eze, Christian I.; Odo, F. C.

doi:10.1007/s10509-022-04042-9

Cited by 2 publications

(1 citation statement)

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“…The unified scheme of radio-quiet AGNs has been very effective in enlightening the variability of AGN properties on the basis of orientation with respect to the line of sight (Singh & Chand 2018), broadband emission properties (Iyida et al 2021) and the viewing angles (Urry & Padovani 1995). This study has been topical in extragalactic astronomy in a couple of decades (Antonucci 1993;Urry & Padovani 1995;Padovani et al 2017;Iyida et al 2020Iyida et al , 2022. The main debate is directed to the development of a unified scheme aimed at bringing the large number of subsets under one roof.…”

Section: Discussionmentioning

confidence: 99%

Testing the Consistency of Unified Scheme of Seyfert Galaxies

Iyida¹,

Eya²,

Eze³

2022

Journal of Astronomy and Space Sciences

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The unified scheme of Seyfert galaxies hypothesizes that the observed differences between the two categories of Seyfert galaxies, type 1 (Sy1) and type 2 (Sy2) are merely due to the difference in the orientation of the toroidal shape of the obscuring material in the active galactic nuclei. We used in this paper, a sample consisting of 120 Seyfert galaxies at 1.40 × 109 Hz in radio, 2.52 × 1017 Hz in X-ray and 2.52 × 1023 Hz in γ-ray luminosities observed by the Fermi Large Area Telescope (Fermi- LAT) in order to test the unified scheme of radio-quiet Seyfert galaxies. Our main results are as follows: (i) We found that the distributions of multiwave luminosities (Lradio, LX-ray, and Lγ-ray) of Sy1 and Sy2 are completely overlapped with up to a factor of 4. The principal component analysis result reveals that Sy1 and Sy2 also occupy the same parameter spaces, which agrees with the notion that Sy1 and Sy2 are the same class objects. A Kolmogorov-Smirnov test performed on the sub-samples indicates that the null hypothesis (both are from the same population) cannot be rejected with chance probability p ~ 0 and separation distance K = 0.013. This result supports the fact that there is no statistical difference between the properties of Sy1 and Sy2 (ii) We found that the coefficient of the best-fit linear regression equation between the common properties of Sy1 and Sy2 is significant (r > 0.50) which plausibly implies that Sy1 and Sy2 are the same type of objects observed at different viewing angle.

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