26-30 June 2023
Centro Congressi Federico II
Europe/Rome timezone

Investigating high-$\lambda_\mathrm{Edd}$ accretion with X-HESS: a new XMM-Newton sample of serendipitous highly accreting AGN

Not scheduled
Aula Magna (Centro Congressi Federico II)

Aula Magna

Centro Congressi Federico II

Via Partenope, 36, Napoli, Italy
Poster Poster


Marco Laurenti (INFN - Università di Roma "Tor Vergata", ASI - Space Science Data Center)


The Eddington ratio $\lambda_\mathrm{Edd}$\, is the key parameter that describes the accretion mode of active galactic nuclei (AGN). Among the different modes, high-$\lambda_\mathrm{Edd}\,$ accretion is particularly fascinating because of its implications in the context of accretion physics, as well as AGN feedback. However, due to their relative paucity in the local Universe (z$<$0.1), only a limited number of AGN accreting in the high-$\lambda_\mathrm{Edd}\,$ regime can benefit of currently available dedicated observations, especially at higher $z$. To tackle this issue we exploit the vast database of XMM-Newton serendipitous observations to create a new, large sample of highly accreting AGN named as XMM-Newton High-Eddington Serendipitous AGN Sample (X-HESS).
X-HESS includes 143 observations of 61 AGN, $\sim$40% of which disposing of multi-epoch observations, disclosing the unprecedented possibility to study not only the spectral but also variability features of high-$\lambda_\mathrm{Edd}\,$ AGN in much broader intervals of redshift, black hole mass, bolometric luminosity and $\lambda_\mathrm{Edd}\,$ with respect to the bulk of pre-existing AGN samples. Approximately two-thirds of the X-HESS observations are complemented with simultaneous OM measurements.
Thanks to the high-quality XMM-Newton observations we probe a large variety of correlations between the X-ray spectral, variability, optical/UV and physical properties of high-$\lambda_\mathrm{Edd}\,$ AGN, extending the dynamical range of previously reported relations towards poorly explored intervals.

Primary author

Marco Laurenti (INFN - Università di Roma "Tor Vergata", ASI - Space Science Data Center)

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