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Linear and Nonlinear Time Series Analysis of the Black Hole Candidate Cygnus X-1

  • We analyze the variability in the x-ray lightcurves of the black hole candidate Cygnus X-1 by linear and nonlinear time series analysis methods. While a linear model describes the overall second order properties of the observed data well, surrogate data analysis reveals a significant deviation from linearity. We discuss the relation between shot noise models usually applied to analyze these data and linear stochastic autoregressive models. We debate statistical and interpretational issues of surrogate data testing for the present context. Finally, we suggest a combination of tools from linear and nonlinear time series analysis methods as a procedure to test the predictions of astrophysical models on observed data.

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Author:Jens Timmer, Udo Schwarz, Henning U. Voss, Ingo Wardinski, Tomaso Belloni, Günther Hasinger, Michael VanDerKlis, Jürgen KurthsORCiDGND
URL:http://pre.aps.org/
Document Type:Article
Language:English
Year of first Publication:2000
Year of Completion:2000
Release Date:2017/03/24
Source:Physical review / E. - 61 (2000), 2, S. 1342 - 1352
Organizational units:Zentrale und wissenschaftliche Einrichtungen / Interdisziplinäres Zentrum für Dynamik komplexer Systeme
Institution name at the time of publication:Zentrale und wissenschaftliche Einrichtungen / Interdisziplinäres Zentrum für Nichtlineare Dynamik