Science-advisor
REGISTER info/FAQ
Login
username
password
     
forgot password?
register here
 
Research articles
  search articles
  reviews guidelines
  reviews
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
 
 
Stat
Members: 3645
Articles: 2'500'096
Articles rated: 2609

19 April 2024
 
  » arxiv » astro-ph/0211301

 Article overview


Unification Model of Seyfert Galaxies: Are All Seyfert 2 Galaxies Created Equal?
Hien D. Tran ;
Date 13 Nov 2002
Subject astro-ph
AffiliationJohns Hopkins University
AbstractBased on the analysis of a large spectropolarimetric survey of Seyfert 2 galaxies (S2s) from the CfA and 12-micron samples conducted mostly at Lick and Palomar Observatories, it is shown that S2s with hidden BLR (HBLRs) are intrinsically more powerful than non-HBLR S2s. The positive detection of BLR in HBLR S2s appears to be due largely to the intrinsic strength of the hidden AGN nucleus rather than the lower level of nuclear obscuration or reduced dominance of circumnuclear starburst. The HBLR S2s, on average, share many similar large-scale characteristics with Seyfert 1 galaxies (S1s), as would be expected if the unified model is correct, while the non-HBLR S2s generally do not. These results strongly suggest that not all S2s are intrinsically similar in nature, and the HBLR S2s may be the only true counterparts to normal S1s.
Source arXiv, astro-ph/0211301
Services Forum | Review | PDF | Favorites   
 
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
important:
of broad interest:
readable:
new:
correct:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.

browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)






ScienXe.org
» my Online CV
» Free


News, job offers and information for researchers and scientists:
home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2024 - Scimetrica