2004
DOI: 10.1051/0004-6361:20031758
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Mapping the inner regions of MCG-6-30-15 withXMM-Newton

Abstract: Abstract. Timing analysis of a ∼95 ks long XMM-Newton observation of the Seyfert 1 galaxy MCG-6-30-15 is presented. Model-independent tools have been used with the intent of resolving the different components that produce the observed flux and spectral variations down to timescales as short as ∼300 s. We find that the fractional variability is possibly due to a variable power law component in the hard band, and a slower thermal component at softer energies, but the data do not rule out effects due to the warm … Show more

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Cited by 91 publications
(146 citation statements)
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References 45 publications
(83 reference statements)
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“…Figure 2 summarizes the results. The lefthand panel shows the root mean square variability (rms; Vaughan et al 2003;Ponti et al 2004) computed on the 0.2−10 keV band: on very short time scales (ks), the source flux varies up to 50% at energies E > ∼ 1.5 keV, while it is constant at lower energies. The middle panel shows the backgroundsubtracted lightcurves extracted in the 0.2−1.5 and 1.5−10 keV bands; following the 1.5−10 keV band flux fluctuations, we split the exposure in eight time intervals on which we perform temporally resolved spectral analysis.…”
Section: Timing Analysismentioning
confidence: 99%
“…Figure 2 summarizes the results. The lefthand panel shows the root mean square variability (rms; Vaughan et al 2003;Ponti et al 2004) computed on the 0.2−10 keV band: on very short time scales (ks), the source flux varies up to 50% at energies E > ∼ 1.5 keV, while it is constant at lower energies. The middle panel shows the backgroundsubtracted lightcurves extracted in the 0.2−1.5 and 1.5−10 keV bands; following the 1.5−10 keV band flux fluctuations, we split the exposure in eight time intervals on which we perform temporally resolved spectral analysis.…”
Section: Timing Analysismentioning
confidence: 99%
“…in the typical frequency range ∼ 0.1 − 60 Hz) aperiodic variability progressively decreases as the outburst evolves, with the fractional root-mean-square (rms) variability amplitude (e.g. Nandra et al 1997;Vaughan et al 2003; ⋆ E-mail: bdemarco@mpe.mpg.de Ponti et al 2004) dropping from values of tens of percent in the canonical hard state, down to a few percent in the canonical soft state (Belloni et al 2005; Muñoz-Darias, . During the hard state the fractional rms shows an "inverted spectrum" (decreasing with energy), which switches to a "hard spectrum" (increasing with energy, at least above ∼5 keV) during intermediate and soft states (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…All curves have a broadened maximum which does not match the observed, peaked shape (see Fig. 4 in Ponti et al 2004). Thus, even if the flare is reflection-dominated, neither the geometrically evolving irradiation across the spot nor relativistic and Doppler modifications can account for the observed shape of the lightcurve.…”
Section: Model Lightcurves For An Elevated Flare Sourcementioning
confidence: 81%
“…In Ky we define the time-dependent disk emission according to the subsequent illumination and fade-out of the spot from its center toward the border. The duration of this time sequence is normalized by H, which we constrain from the observed soft-to-hard time delay of ∼ 600 s (Ponti et al 2004). We assume that this delay is entirely due to the light traveling time between the source and the disk leading to H = 7 R g .…”
Section: Model Lightcurves For An Elevated Flare Sourcementioning
confidence: 99%
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