A general relativistic mass-to-distance ratio for a set of megamaser AGN black holes

Author:

Villaraos D1ORCID,Herrera-Aguilar A1ORCID,Nucamendi U2,González-Juárez G3,Lizardo-Castro R1

Affiliation:

1. Instituto de Física, Benemérita Universidad Autónoma de Puebla , Edificio IF-1, Ciudad Universitaria, CP 72570, Puebla, México

2. Instituto de Física y Matemáticas, Universidad Michoacana de San Nicolás de Hidalgo , Edificio C-3, Ciudad Universitaria, CP 58040, Morelia, Michoacán, México

3. Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla , Ciudad Universitaria, CP 72570, Puebla, México

Abstract

ABSTRACT In this work, we perform a Bayesian statistical fit to estimate the mass-to-distance ratio and the recessional redshift of 10 different black holes hosted at the centre of active galactic nuclei, namely the galaxies NGC 5765b, NGC 6323, UGC 3789, CGCG 074−064, ESO 558−G009, NGC 2960, NGC 6264, NGC 4388, J0437+2456, and NGC 2273. Our general relativistic method makes use of the positions in the sky and frequency shift observations of water megamasers circularly orbiting the central black hole on their accretion discs. This approach also allows us to quantify the gravitational redshift that is not considered in a Newtonian analysis. The gravitational redshift of the megamasers closest to the black hole is found to be within the range 1–6 km s−1. The order of the fitted black hole masses corresponds to supermassive black holes and lies on the range 106−107M⊙.

Funder

CONACYT

SNI

SEP

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3