2017
DOI: 10.1051/0004-6361/201630044
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The rms-flux relation in accreting objects: not a simple “volume control”

Abstract: The light curves of a diverse range of accreting objects show characteristic linear relationships between the short-term rms amplitude of variability and the flux as measured on longer time-scales. This behaviour is thought to be imprinted on the light curves by accretion rate fluctuations on different time-scales, propagating and coupling together through the accretion flow. Recently, a simple mathematical interpretation has been proposed for the rms-flux relation, where short-term variations are modulated by… Show more

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Cited by 11 publications
(24 citation statements)
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“…This makes sense physically where each radius acts as a low pass filter with variations suppressed on a local viscous timescale (e.g. Churazov et al 2001;Ingram et al 2016), although in reality these are well known to be coupled (Uttley et al 2017). Whilst we do not have a-priori knowledge of the nature of the Lorentzians that might describe the shape of the broad band noise in any of our energy-dependent observations, we can test the impact Vaughan 2005).…”
Section: Complex Broad-band Noise Modelsmentioning
confidence: 99%
“…This makes sense physically where each radius acts as a low pass filter with variations suppressed on a local viscous timescale (e.g. Churazov et al 2001;Ingram et al 2016), although in reality these are well known to be coupled (Uttley et al 2017). Whilst we do not have a-priori knowledge of the nature of the Lorentzians that might describe the shape of the broad band noise in any of our energy-dependent observations, we can test the impact Vaughan 2005).…”
Section: Complex Broad-band Noise Modelsmentioning
confidence: 99%
“…The lognormal distribution: This distribution is frequently used in active galactic nuclei (AGN) and X-ray binaries: The lognormal distribution results from many unresolved subprocesses which are Gaussian and amplify each other into a single observable. Thus the lognormal distribution results from the product of the Gaussian subprocesses (e.g., Uttley et al 2005). This model has been applied to Sgr A* in all past studies of the NIR flux distribution (see, e.g., Dodds-Eden et al 2009;Witzel et al 2012Witzel et al , 2018Hora et al 2014).…”
Section: Analytic Distribution Functionmentioning
confidence: 99%
“…Such a distribution function has been proposed by Dodds-Eden et al (2010) and has been interpreted in the following sense: The quiescent low flux density states are associated with a lognormal distribution. The lognormal flux distribution is motivated in analogy to the flux distribution of many accreting compact objects such as X-ray binaries or AGN (e.g., Uttley et al 2005). On top of the quiescent phase, there exists a secondary process which creates the flux density tail responsible for the highest flux densities, which coincide with the observed flaring events.…”
Section: Composite Distribution Functionsmentioning
confidence: 99%
“…A linear rms-flux relation is a consequence of a lognormal transform of an underlying Gaussian process light curve (Uttley et al 2005, Uttley et al 2017. We test if some other transformation of an underlying Gaussian light curve, g(t), is producing the observed light curves x(t) in IRAS 13224-3809.…”
Section: Rms-flux Relationmentioning
confidence: 99%