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: 2'506'133
Articles rated: 2609

27 April 2024
 
  » arxiv » astro-ph/0111209

 Article overview



The Mass Distribution of Black Holes in BL Lacertae Objects
Jian-Min Wang ; Sui-Jian Xue ; Jian-Cheng Wang ;
Date 11 Nov 2001
Subject astro-ph
AffiliationIHEP, Beijing), Sui-Jian Xue (BAO, Beijing) and Jian-Cheng Wang (Yunnan, China
AbstractIn this {it Letter}, we make an attempt to estimate the masses of black holes and their distributions in BL Lac objects. We find there is a bimodal population of black hole masses in BL Lacs: the first has a lower-mass peak centred at $sim 7.0 imes 10^6sunm$ composed of high frequency-peaked BL Lacs (HBLs) and the second is a higher-mass ($>10^9sunm$) population composed of low frequency-peaked BL Lacs (LBLs). The low mass family of black holes in HBLs does not satisfy the Magorrian et al. relation whereas the high mass family in LBLs does this relation and is in agreement with Laor’s limit. The origination of the bimodal distribution of black hole mass remains open.
Source arXiv, astro-ph/0111209
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