2010
DOI: 10.1051/0004-6361/201014736
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QPOs in the time domain: an autocorrelation analysis

Abstract: Context. Motivated by the recent proposal that one can obtain quasi-periodic oscillations (QPOs) by photon echoes manifesting as non-trivial features in the autocorrelation function (ACF), we study the ACFs of the light curves of three accreting black hole candidates and a neutron star already known to exhibit QPOs namely, GRS 1915+105, XTE J1550-564, XTE J1859+226 and Cygnus X-2. Aims. We present a comparative study of the timing properties of these systems in the frequency and time domain in search for simil… Show more

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Cited by 4 publications
(4 citation statements)
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“…For instance, detailed accretion disk wind models show that the line profile becomes much broader because of the velocity shear between consecutive zones of the wind (e.g., Fukumura et al 2010Fukumura et al , 2014Fukumura et al , 2015Fukumura et al , 2017.…”
Section: Accretion Disk Windmentioning
confidence: 99%
“…For instance, detailed accretion disk wind models show that the line profile becomes much broader because of the velocity shear between consecutive zones of the wind (e.g., Fukumura et al 2010Fukumura et al , 2014Fukumura et al , 2015Fukumura et al , 2017.…”
Section: Accretion Disk Windmentioning
confidence: 99%
“…The analysis methods applied are suitable for seeking time correlated structure in any noisy time series (see, e.g., Fukumura et al 2010 for a recent application of autocorrelation methods to the analysis of astronomical data). For pulsar timing noise in particular, these techniques show promise for distinguishing effects that might be magnetospheric in origin, such as mode switching, from those effects that are directly related to rotational response of the stellar interior.…”
Section: Discussionmentioning
confidence: 99%
“…This is typically due to the long timescales over which significant variability occurs in AGN, often over periods of weeks or months, meaning that the variability of interest usually cannot be adequately described within single observations. For this reason the autocorrelation function has instead been used in analysis of the observations of X-ray binaries, which tend to exhibit variability over considerably shorter timescales (e.g., Gandhi et al 2008;Fukumura et al 2010). The autocorrelation function is sometimes used in studies of AGN variability to define the minimum timescales over which variability may be un-correlated (e.g., Gliozzi et al 2002).…”
Section: Introductionmentioning
confidence: 99%