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Building robust active galactic nuclei mock catalogs to unveil black hole evolution and for survey planning

Building robust active galactic nuclei mock catalogs to unveil black hole evolution and for survey planning
Building robust active galactic nuclei mock catalogs to unveil black hole evolution and for survey planning
The statistical distributions of active galactic nuclei (AGNs), i.e., accreting supermassive black holes (BHs), in mass, space, and time are controlled by a series of key properties, namely, the BH–galaxy scaling relations, Eddington ratio distributions, and fraction of active BH (duty cycle). Shedding light on these properties yields strong constraints on the AGN triggering mechanisms while providing a clear baseline to create useful mock catalogs for the planning of large galaxy surveys. Here we delineate a robust methodology to create mock AGN catalogs built on top of large N-body dark matter simulations via state-of-the-art semiempirical models. We show that by using as independent tests the AGN clustering at fixed X-ray luminosity, galaxy stellar mass, and BH mass, along with the fraction of AGNs in groups and clusters, it is possible to significantly narrow down the choice in the relation between BH mass and host galaxy stellar mass, the duty cycle, and the average Eddington ratio distribution, delivering well-suited constraints to guide cosmological models for the coevolution of BHs and galaxies. Avoiding such a step-by-step methodology inevitably leads to strong degeneracies in the final mock catalogs, severely limiting their usefulness in understanding AGN evolution and in survey planning and testing.
0004-637X
Allevato, V.
8be704a6-2a3f-4e44-b9c3-c00991e45927
Shankar, F.
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Marsden, C.
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Rasulov, U.
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Viitanen, A.
cb56f30c-e8d3-49b7-978b-0fac8dfc49d9
Georgakakis, A.
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Ferrara, A.
cb79de3b-1626-43ee-9cea-ea30c33ee9a5
Finoguenov, A.
dc4f9f99-e243-45e0-8de2-bb38530ad737
Allevato, V.
8be704a6-2a3f-4e44-b9c3-c00991e45927
Shankar, F.
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Marsden, C.
9666abab-9536-4c32-b6d8-d85777e1045f
Rasulov, U.
83072efc-986c-4231-bbf6-720ff53358d3
Viitanen, A.
cb56f30c-e8d3-49b7-978b-0fac8dfc49d9
Georgakakis, A.
af2a2453-2c1c-427b-a26f-07e40bf1d795
Ferrara, A.
cb79de3b-1626-43ee-9cea-ea30c33ee9a5
Finoguenov, A.
dc4f9f99-e243-45e0-8de2-bb38530ad737

Allevato, V., Shankar, F., Marsden, C., Rasulov, U., Viitanen, A., Georgakakis, A., Ferrara, A. and Finoguenov, A. (2021) Building robust active galactic nuclei mock catalogs to unveil black hole evolution and for survey planning. Astrophysical Journal. (doi:10.3847/1538-4357/abfe59/meta).

Record type: Article

Abstract

The statistical distributions of active galactic nuclei (AGNs), i.e., accreting supermassive black holes (BHs), in mass, space, and time are controlled by a series of key properties, namely, the BH–galaxy scaling relations, Eddington ratio distributions, and fraction of active BH (duty cycle). Shedding light on these properties yields strong constraints on the AGN triggering mechanisms while providing a clear baseline to create useful mock catalogs for the planning of large galaxy surveys. Here we delineate a robust methodology to create mock AGN catalogs built on top of large N-body dark matter simulations via state-of-the-art semiempirical models. We show that by using as independent tests the AGN clustering at fixed X-ray luminosity, galaxy stellar mass, and BH mass, along with the fraction of AGNs in groups and clusters, it is possible to significantly narrow down the choice in the relation between BH mass and host galaxy stellar mass, the duty cycle, and the average Eddington ratio distribution, delivering well-suited constraints to guide cosmological models for the coevolution of BHs and galaxies. Avoiding such a step-by-step methodology inevitably leads to strong degeneracies in the final mock catalogs, severely limiting their usefulness in understanding AGN evolution and in survey planning and testing.

Text
Building Robust Active Galactic Nuclei Mock Catalogs to Unveil Black Hole Evolution and for Survey Planning - Accepted Manuscript
Restricted to Repository staff only until 22 July 2022.
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More information

Accepted/In Press date: 4 May 2021
e-pub ahead of print date: 22 July 2021
Additional Information: arxiv is am

Identifiers

Local EPrints ID: 451004
URI: http://eprints.soton.ac.uk/id/eprint/451004
ISSN: 0004-637X
PURE UUID: cc5447a2-c0ea-488a-b1a0-83dff3bc7fe1

Catalogue record

Date deposited: 01 Sep 2021 16:31
Last modified: 01 Sep 2021 16:31

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Contributors

Author: V. Allevato
Author: F. Shankar
Author: C. Marsden
Author: U. Rasulov
Author: A. Viitanen
Author: A. Georgakakis
Author: A. Ferrara
Author: A. Finoguenov

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