
Higher order variability properties of accreting black holes
Author(s) -
Maccarone Thomas J.,
Coppi Paolo S.
Publication year - 2002
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1046/j.1365-8711.2002.05807.x
Subject(s) - physics , bicoherence , skewness , bispectrum , light curve , astrophysics , black hole (networking) , statistical physics , statistics , spectral density , routing protocol , computer network , mathematics , routing (electronic design automation) , computer science , link state routing protocol
To better constrain the emission mechanism underlying the hard state of galactic black hole candidates, we use high‐time resolution RXTE light curves for Cyg X‐1 and GX 339‐4 to compute two higher order variability statistics for these objects, the skewness and the Fourier bispectrum. Similar analyses, in particular using the skewness measure, have been attempted previously, but the photon collection area of RXTE allows us to present results of much greater statistical significance. The results for the two objects are qualitatively similar, reinforcing the idea that the same basic mechanisms are at work in both. We find a significantly positive skewness for variability time‐scales less than ∼1 s, and a negative skewness for time‐scales from 1 to 5 s. Such a skewness pattern cannot be reproduced by the simplest shot variability models where individual shots have a fixed profile and intensity and are uncorrelated in time. Further evidence against simple‐shot models comes from the significant detection of a non‐zero bicoherence for Fourier periods ∼0.1−10 s , implying that significant coupling does exist between variations on these time‐scales. We discuss how current popular models for variability in black hole systems can be modified to match these observations. Using simulated light curves, we suggest that the most likely way to reproduce this observed behaviour is to have the variability come in groups of many shots, with the number of shots per unit time fitting an envelope function that has a rapid rise and a slow decay, while the individual shots have a slow rise and a rapid decay. Invoking a finite‐energy reservoir that is depleted by each shot is a natural way of producing the required shot correlations.