Extended Corona Models of X-ray Reverberation in the AGN 1H~0707-495 and IRAS 13224-3809

Abstract

We fit a new vertically extended corona model to previously measured reverberation time lags observed by \emph{XMM-Newton} in two extremely variable Narrow Line Seyfert 1 Active Galactic Nuclei (AGN), 1H~0707-495 and IRAS~13224-3809, in a variety of similarly observed flux groups and explore the model in all observations over a 16 year period. The model employs two X-ray sources located along the black hole rotational axis at height, $h_1$ and $h_2$ respectively. These sources have their associated photon indices ${\Gamma }_1$ and ${\Gamma }_2$ which respond to fluctuations in the disc with a maximum response duration of $t_{\text{max}}$ and a propagation delay between the response of the two of $t_{\text{shift}}$. We find that for 1H 0707-495, $h_2$ is significantly correlated with ${\Gamma }_1$ and anti-correlated with ionisation $\xi$. Whilst the 1H 0707-495 corona extends upwards, the emission appears softer and the disc is less ionised. We find similarities in IRAS 13224-3809, but significant anti-correlation between ${\Gamma }_2$ and both $t_{\text{max}}$ and $t_{\text{shift}}$. This suggests that when the IRAS 13224-3809 corona becomes softer while extending vertically upwards, the overall corona response occurs faster. This may also suggest that the inner disc also becomes more active. In addition, ${\Gamma }_1$ and ${\Gamma }_2$ are extreme, relatively less variable, but more separate in IRAS 13224-3809 than in 1H 0707-495. This suggests that the IRAS 13224-3809 corona may be more patchy in the sense that it has two more clear distinct spectral zones of ${\Gamma }_1$ and ${\Gamma }_2$ (possibly relating to two distinct zones of coronal temperature) when compared to 1H 0707-495.

arXiv comment15 pages, 9 figures

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Cited by in corpus (2)

• Coronal height constraint in IRAS 13224-3809 and 1H 0707-495 by the random forest regressor
• Extracting the X-ray reverberation response functions from the AGN light curves using an autoencoder