Hostname: page-component-7479d7b7d-k7p5g Total loading time: 0 Render date: 2024-07-14T12:11:52.379Z Has data issue: false hasContentIssue false

On the relationship between black hole mass and X-ray variability amplitude in the low-mass regime of active galactic nuclei

Published online by Cambridge University Press:  07 March 2016

H. Pan
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: panhaiwu@bao.ac.cn
W. Yuan
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: panhaiwu@bao.ac.cn
X.-L. Zhou
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: panhaiwu@bao.ac.cn
X. Dong
Affiliation:
Yunnan Observatories, Chinese Academy of Sciences, Kunming, Yunnan, China
B. Liu
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: panhaiwu@bao.ac.cn
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Recent studies of active galactic nuclei (AGN) found a statistical inverse scaling between the X-ray normalized excess variance σrms2 (variability amplitude) and the black hole mass spanning over MBH = 106 − 109M. We present a study of this relation by including AGN with MBH = 105 − 106M. It is found that the relation is no longer a simple extrapolation of the known inverse proportion, but starts to flatten around 106M. This behavior can be understood by the shape of the power spectrum density of AGN and its dependence on the black hole mass.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2016 

References

Dong, X.-B., Ho, L. C., & Yuan, W., et al. 2012, ApJ, 755, 167Google Scholar
González-Martín, O. & Vaughan, S. 2012, A&A, 544, A80Google Scholar
Ludlam, R. M., Cackett, E. M., & Gultekin, K., et al. 2015, MNRAS, 447, 2112Google Scholar
McHardy, I. M., Koerding, E., Knigge, C., Uttley, P., & Fender, R. P. 2006, Nature, 444, 730Google Scholar
Nandra, K., George, I. M., Mushotzky, R. F., Turner, T. J., & Yaqoob, T. 1997, ApJ, 476, 70Google Scholar
Papadakis, I. E. 2004, MNRAS, 348, 207Google Scholar
Ponti, G., Papadakis, I., & Bianchi, S., et al. 2012, A&A, 542, A83Google Scholar
van der Klis, M. 1989, Timing Neutron Stars, 27Google Scholar
van der Klis, M. 1997, Statistical Challenges in Modern Astronomy II, 321Google Scholar
Zhou, X.-L., Zhang, S.-N., Wang, D.-X., & Zhu, L. 2010, ApJ, 710, 16Google Scholar