2018
DOI: 10.1093/mnras/sty2133
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A physical model for the spectral-timing properties of accreting black holes

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Cited by 48 publications
(36 citation statements)
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“…Second, while the production of time lags is usually associated with a corona or lampost geometry (Uttley et al 2014, Fig. 1), very recent studies have shown that a radial stratification of the disk can be used to explain timing properties (Mahmoud & Done 2018;Mahmoud et al 2019). This is very promising and fits surprisingly well with our own framework.…”
Section: Open Questionssupporting
confidence: 74%
“…Second, while the production of time lags is usually associated with a corona or lampost geometry (Uttley et al 2014, Fig. 1), very recent studies have shown that a radial stratification of the disk can be used to explain timing properties (Mahmoud & Done 2018;Mahmoud et al 2019). This is very promising and fits surprisingly well with our own framework.…”
Section: Open Questionssupporting
confidence: 74%
“…This seems to disagree with the assumption of the propagating fluctuations model that each independent annulus produces fluctuations with most of the variability power centred at the local viscous frequency. Moreover, it rules out the damping of propagating fluctuations (Arévalo & Uttley 2006;Rapisarda, Ingram & van der Klis 2017;Mahmoud & Done 2018b). Fig.…”
Section: Simulation Amentioning
confidence: 87%
“…The onset of this millennium has seen several ongoing efforts in the development of stochastic propagation models to explain energy dependent continuum variability observed in most X-ray binaries. Most of these models are built upon the fundamental idea that the perturbations originate at the outer annuli of the disk and propagate towards the central object (Kotov et al 2001;Ingram & Done 2011Ingram & van der Klis 2013;Rapisarda et al 2016Rapisarda et al , 2017Mahmoud & Done 2018;Axelsson & Done 2018). Primarily, these models are aimed at making quantitative predictions of PDS, energy dependent time-lags and rms variability.…”
Section: Stochastic Propagation Modelmentioning
confidence: 99%