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|Title:||Constraining AGN triggering mechanisms through the clustering analysis of active black holes||Authors:||Gatti, M.
|Issue Date:||2016||Journal:||MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY||Number:||456||Issue:||1||First Page:||1073||Abstract:||The triggering mechanisms for active galactic nuclei (AGN) are still debated. Some of the most popular ones include galaxy interactions (IT) and disc instabilities (DIs). Using an advanced semi-analytic model (SAM) of galaxy formation, coupled to accurate halo occupation distribution modelling, we investigate the imprint left by each separate triggering process on the clustering strength of AGN at small and large scales. Our main results are as follows: (I) DIs, irrespective of their exact implementation in the SAM, tend to fall short in triggering AGN activity in galaxies at the centre of haloes with M > 10 13.5 h -1 M☉. On the contrary, the IT scenario predicts abundance of active central galaxies that generally agrees well with observations at every halo mass. (II) The relative number of satellite AGN in DIs at intermediate-to-low luminosities is always significantly higher than in IT models, especially in groups and clusters. The low AGN satellite fraction predicted for the IT scenario might suggest that different feeding modes could simultaneously contribute to the triggering of satellite AGN. (III) Both scenarios are quite degenerate in matching large-scale clustering measurements, suggesting that the sole average bias might not be an effective observational constraint. (IV) Our analysis suggests the presence of both a mild luminosity and a more consistent redshift dependence in the AGN clustering, with AGN inhabiting progressively less massive dark matter haloes as the redshift increases. We also discuss the impact of different observational selection cuts in measuring AGN clustering, including possible discrepancies between optical and X-ray surveys.||URI:||http://hdl.handle.net/20.500.12386/26201||URL:||https://academic.oup.com/mnras/article/456/1/1073/1073766||ISSN:||0035-8711||DOI:||10.1093/mnras/stv2754||Bibcode ADS:||2016MNRAS.456.1073G||Fulltext:||open|
|Appears in Collections:||1.01 Articoli in rivista|
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checked on Sep 30, 2020
checked on Sep 30, 2020
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