Probing variability patterns of the Fe K line complex in bright nearby AGNs

Astronomy and Astrophysics – Astrophysics – High Energy Astrophysical Phenomena

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Accepted for publication in Astronomy & Astrophysics

Scientific paper

The unprecedented sensitivity of current X-ray telescopes allows for the first time to address the issue of the Fe K line complex variability patterns in bright, nearby AGNs. We examine XMM-Newton observations of the brightest sources of the FERO sample of radio-quiet type 1 AGNs with the aim of characterizing the temporal behaviour of Fe K complex features. A systematic mapping of residual flux above and below the continuum in the 4-9 keV range is performed in the time vs energy domain, with the purpose of identifying interesting spectral features in the three energy bands: 5.4-6.1 keV, 6.1-6.8 keV and 6.8-7.2 keV, corresponding respectively to the redshifted, rest frame and blueshifted or highly ionized Fe Kalpha line bands. The variability significance is assessed by extracting light curves and comparing them with MonteCarlo simulations. The time-averaged profile of the Fe K complex revealed spectral complexity in several observations. Red- and blue-shifted components (either in emission or absorption) were observed in 30 out of 72 observations, with an average ~90 eV for emission and ~ -30 eV for absorption features. We detected significant line variability (with confidence levels ranging between 90% and 99.7%) within at least one of the above energy bands in 26 out of 72 observations on time scales of ~6-30 ks. Reliability of these features has been carefully calculated using this sample and has been assessed at ~3sigma confidence level. This work increases the currently scanty number of detections of variable, energy shifted, Fe lines and confirms the reliability of the claimed detections. We found that the distribution of detected features is peaked at high variability significances in the red- and blue-shifted energy bands, suggesting an origin in a relativistically modified accretion flow.

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