Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-24T17:32:00.999Z Has data issue: false hasContentIssue false

Variability studies in blazar jets with SF analysis: caveats and problems

Published online by Cambridge University Press:  24 February 2011

Dimitrios Emmanoulopoulos
Affiliation:
School of Physics & Astronomy, University of Southampton, SO17 1BJ, Southampton, United Kingdom email: D.Emmanoulopoulos@soton.ac.uk
Ian M. McHardy
Affiliation:
School of Physics & Astronomy, University of Southampton, SO17 1BJ, Southampton, United Kingdom email: D.Emmanoulopoulos@soton.ac.uk
Phil Uttley
Affiliation:
School of Physics & Astronomy, University of Southampton, SO17 1BJ, Southampton, United Kingdom email: D.Emmanoulopoulos@soton.ac.uk
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.

Blazars are radio-loud active galactic nuclei (AGN) dominated by relativistic jets seen at small angles to the line-of-sight. They exhibit dramatic flux variations across the electromagnetic spectrum. The fastest variations are observed in the X-ray and γ-ray bands on time-scales of hours or even minutes. Currently, a substantial part of the blazar literature has been based on the study of these temporal variations through the use of structure function (SF) analysis, the results of which are believed to put great constrains on the jet-physics.

The SF is often invoked in the framework of shot-noise models to determine the temporal properties of individual shots within the jet as well as their geometrical sizes. We argue, that for blazar variability studies, the SF-results are sometimes erroneously interpreted leading to misconceptions about the actual source properties. Based on extensive simulations we caution that spurious breaks will appear in the SFs of almost all light-curves, even though these light-curves may contain no intrinsic characteristic time-scale.

Finally, it is also commonly thought that SFs are immune to the sampling problems, such as data-gaps, which affects the estimators of the underlying power spectra density function such as the periodogram. However, we show that SFs are also troubled by gaps which can induce artefacts.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2011

References

Czerny, B., Doroshenko, V. T., Nikołajuk, M., Schwarzenberg-Czerny, A., Loska, Z., & Madejski, G. 2003, MNRAS, 342, 1222CrossRefGoogle Scholar
Emmanoulopoulos, D. 2008, Blazar Variability across the Electromagnetic Spectrum, PoS, (BLAZARS2008)038, Palaiseau, FranceGoogle Scholar
Emmanoulopoulos, D., McHardy, I. M., & Uttley, P. 2010, MNRAS, 404, 931CrossRefGoogle Scholar
Hughes, P. A., Aller, H. D., & Aller, M. F. 1992, ApJ, 396, 469CrossRefGoogle Scholar
Kataoka, J., Takahashi, T., Wagner, S. J., Iyomoto, N., Edwards, P. G., Hayashida, K., Inoue, S., Madejski, G. M., Takahara, F., Tanihata, C., & Kawai, N. 2001, ApJ, 560, 659CrossRefGoogle Scholar
Kataoka, J., Tanihata, C., Kawai, N., Takahara, F., Takahashi, T., Edwards, P. G., & Makino, F. 2002, MNRAS, 336, 932CrossRefGoogle Scholar
Tanihata, C., Urry, C. M., Takahashi, T., Kataoka, J., Wagner, S. J., Madejski, G. M., Tashiro, M., & Kouda, M. 2001, ApJ, 563, 569CrossRefGoogle Scholar
Timmer, J. & Koenig, M. 1995, A&A, 300, 707Google Scholar
Zhang, Y. H., Treves, A., Celotti, A., Chiappetti, L., Fossati, G., Ghisellini, G., Maraschi, L., Pian, E., Tagliaferri, G., & Tavecchio, F. 2002, ApJ, 572, 762CrossRefGoogle Scholar