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AGN contamination of galaxy-cluster thermal X-ray emission: predictions for eRosita from cosmological simulations
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In this study, we present a modelling of the X-ray emission from the simulated SMBHs within the cosmological hydrodynamical Magneticum Pathfinder Simulation, in order to study the statistical properties of the resulting X-ray Active Galactic Nuclei (AGN) population and their expected contribution to the X-ray flux from galaxy clusters. The simulations reproduce the evolution of the observed unabsorbed AGN bolometric luminosity functions (LFs) up to redshift z~2, consistently with previous works. Furthermore, we study the evolution of the LFs in the soft (SXR) and hard (HXR) X-ray bands by means of synthetic X-ray data generated with the PHOX simulator, that includes an observationally-motivated modelling of an instrinsic absorption component, mimicking the torus around the AGN. The reconstructed SXR and HXR AGN LFs present a remarkable agreement with observational data up to z~2 when an additional obscuration fraction for Compton-thick AGN is assumed, although a discrepancy still exists for the SXR LF at z=2.3. With this approach, we also generate full eROSITA mock observations to predict the level of contamination due to AGN of the intra-cluster medium (ICM) X-ray emission, which can affect cluster detection especially at high redshifts. We find that, at z~1-1.5, for 20-40% of the clusters with M500>3e13 Msun/h, the AGN counts in the observed SXR band exceed by more than a factor of 2 the counts from the whole ICM.
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Cited by 2 Pith papers
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Average soft X-ray surface brightness profile of massive galaxy clusters in Magneticum simulations
Magneticum simulations reproduce the eROSITA stacked soft X-ray surface brightness profile of massive clusters out to about 3 R500, with a central difference attributed to AGN feedback.
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What's Missing in AGN Feedback? Lessons learnt from Magneticum, IllustrisTNG and Simba
No current simulation simultaneously reproduces observed halo hot-gas fractions and local galaxy star-formation/quenching demographics; strong AGN feedback overquenches, weak feedback retains too much gas.
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