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Probing black hole accretion tracks, scaling relations, and radiative efficiencies from stacked X-ray active galactic nuclei

Probing black hole accretion tracks, scaling relations, and radiative efficiencies from stacked X-ray active galactic nuclei
Probing black hole accretion tracks, scaling relations, and radiative efficiencies from stacked X-ray active galactic nuclei
The masses of supermassive black holes at the centres of local galaxies appear to be tightly correlated with the mass and velocity dispersions of their galactic hosts. However, the local Mbh–Mstar relation inferred from dynamically measured inactive black holes is up to an order-of-magnitude higher than some estimates from active black holes, and recent work suggests that this discrepancy arises from selection bias on the sample of dynamical black hole mass measurements. In this work, we combine X-ray measurements of the mean black hole accretion luminosity as a function of stellar mass and redshift with empirical models of galaxy stellar mass growth, integrating over time to predict the evolving Mbh–Mstar relation. The implied relation is nearly independent of redshift, indicating that stellar and black hole masses grow, on average, at similar rates. Matching the de-biased local Mbh–Mstar relation requires a mean radiative efficiency ε ≳ 0.15, in line with theoretical expectations for accretion on to spinning black holes. However, matching the ‘raw’ observed relation for inactive black holes requires ε ∼ 0.02, far below theoretical expectations. This result provides independent evidence for selection bias in dynamically estimated black hole masses, a conclusion that is robust to uncertainties in bolometric corrections, obscured active black hole fractions, and kinetic accretion efficiency. For our fiducial assumptions, they favour moderate-to-rapid spins of typical supermassive black holes, to achieve ε ∼ 0.12–0.20. Our approach has similarities to the classic Soltan analysis, but by using galaxy-based data instead of integrated quantities we are able to focus on regimes where observational uncertainties are minimized.
Black hole physics, Galaxies: fundamental parameters, Galaxies: nuclei, Galaxies: star formation, Quasars: supermassive black holes
1365-2966
1500-1511
Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Weinberg, David H
40dbbb02-c823-48be-9de0-57567338db5b
Marsden, Christopher
ccd1ecc8-3eb4-4699-a87e-0bfba0dd40b0
Grylls, Philip J.
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Bernardi, Mariangela
51f0929c-ba65-4d9c-a814-673442f48d75
Yang, Guang
19f7479e-304e-40df-9504-bd3770ea3adf
Moster, Benjamin
dc6f80b1-3ab7-44f7-b287-c38c6501a627
Fu, Hao
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Carraro, Rosamaria
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Alexander, David M.
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Allevato, Viola
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Ananna, Tonima T.
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Bongiorno, Angela
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Calderone, Giorgio
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Civano, Francesca
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Daddi, Emanuele
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Delvecchio, Ivan
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Duras, Federica
90012cff-4565-4b63-b646-2d1d9a85fdc6
La franca, Fabio
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Lapi, Andrea
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Lu, Youjun
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Menci, Nicola
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Mezcua, Mar
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Ricci, Federica
8d69561c-2eb1-4af1-84d7-1c13286f32d5
Rodighiero, Giulia
31a67294-3818-4206-b28c-45c8ea2a1ed4
Sheth, Ravi K
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Suh, Hyewon
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Villforth, Carolin
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Zanisi, Lorenzo
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Shankar, Francesco
b10c91e4-85cd-4394-a18a-d4f049fd9cdb
Weinberg, David H
40dbbb02-c823-48be-9de0-57567338db5b
Marsden, Christopher
ccd1ecc8-3eb4-4699-a87e-0bfba0dd40b0
Grylls, Philip J.
dff3e462-df6d-46cd-8366-91a75abc9a9e
Bernardi, Mariangela
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Yang, Guang
19f7479e-304e-40df-9504-bd3770ea3adf
Moster, Benjamin
dc6f80b1-3ab7-44f7-b287-c38c6501a627
Fu, Hao
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Carraro, Rosamaria
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Alexander, David M.
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Allevato, Viola
cced4e40-6a45-4261-911a-442d99a6aeb7
Ananna, Tonima T.
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Bongiorno, Angela
a5094b8a-1431-423e-99e5-447ab6b873c5
Calderone, Giorgio
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Civano, Francesca
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Daddi, Emanuele
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Delvecchio, Ivan
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Duras, Federica
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La franca, Fabio
abbb3d3c-c4e3-4e73-920a-c6c183698ed2
Lapi, Andrea
126b5f87-60fa-4a57-8b84-802d5ffb1f17
Lu, Youjun
3cfd6ee7-2257-4185-9c37-c1df34e1f35e
Menci, Nicola
e68473f0-6f7f-48b8-8b76-088d8752df6a
Mezcua, Mar
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Ricci, Federica
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Rodighiero, Giulia
31a67294-3818-4206-b28c-45c8ea2a1ed4
Sheth, Ravi K
94b203a4-bea4-461b-a237-14d548264e15
Suh, Hyewon
265bc6ab-02bb-41a8-9c40-b2c72d6e73d0
Villforth, Carolin
6853642c-f699-429a-bfb5-dc5c485f5934
Zanisi, Lorenzo
87405729-1792-4919-a0de-fc92ea450edb

Shankar, Francesco, Weinberg, David H, Marsden, Christopher, Grylls, Philip J., Bernardi, Mariangela, Yang, Guang, Moster, Benjamin, Fu, Hao, Carraro, Rosamaria, Alexander, David M., Allevato, Viola, Ananna, Tonima T., Bongiorno, Angela, Calderone, Giorgio, Civano, Francesca, Daddi, Emanuele, Delvecchio, Ivan, Duras, Federica, La franca, Fabio, Lapi, Andrea, Lu, Youjun, Menci, Nicola, Mezcua, Mar, Ricci, Federica, Rodighiero, Giulia, Sheth, Ravi K, Suh, Hyewon, Villforth, Carolin and Zanisi, Lorenzo (2020) Probing black hole accretion tracks, scaling relations, and radiative efficiencies from stacked X-ray active galactic nuclei. Monthly Notices of the Royal Astronomical Society, 493 (1), 1500-1511. (doi:10.1093/mnras/stz3522).

Record type: Article

Abstract

The masses of supermassive black holes at the centres of local galaxies appear to be tightly correlated with the mass and velocity dispersions of their galactic hosts. However, the local Mbh–Mstar relation inferred from dynamically measured inactive black holes is up to an order-of-magnitude higher than some estimates from active black holes, and recent work suggests that this discrepancy arises from selection bias on the sample of dynamical black hole mass measurements. In this work, we combine X-ray measurements of the mean black hole accretion luminosity as a function of stellar mass and redshift with empirical models of galaxy stellar mass growth, integrating over time to predict the evolving Mbh–Mstar relation. The implied relation is nearly independent of redshift, indicating that stellar and black hole masses grow, on average, at similar rates. Matching the de-biased local Mbh–Mstar relation requires a mean radiative efficiency ε ≳ 0.15, in line with theoretical expectations for accretion on to spinning black holes. However, matching the ‘raw’ observed relation for inactive black holes requires ε ∼ 0.02, far below theoretical expectations. This result provides independent evidence for selection bias in dynamically estimated black hole masses, a conclusion that is robust to uncertainties in bolometric corrections, obscured active black hole fractions, and kinetic accretion efficiency. For our fiducial assumptions, they favour moderate-to-rapid spins of typical supermassive black holes, to achieve ε ∼ 0.12–0.20. Our approach has similarities to the classic Soltan analysis, but by using galaxy-based data instead of integrated quantities we are able to focus on regimes where observational uncertainties are minimized.

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Accepted/In Press date: 9 December 2019
e-pub ahead of print date: 16 December 2019
Published date: 1 March 2020
Additional Information: Funding Information: FS acknowledges Peter Behroozi for sharing his stellar mass accretion tracks. FS acknowledges partial support from a Leverhulme Trust Research Fellowship. RC acknowledges financial support from CONICYT Doctorado Nacional N◦ 21161487 and CONICYT PIA ACT172033. DMA thanks the Science and Technology Facilities Council (STFC) for support from grant no. ST/L00075X/1. ID is supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 788679. MM acknowledges support from the Beatriu de Pinos fellowship (2017-BP-00114). Publisher Copyright: © 2019 The Author(s).
Keywords: Black hole physics, Galaxies: fundamental parameters, Galaxies: nuclei, Galaxies: star formation, Quasars: supermassive black holes

Identifiers

Local EPrints ID: 441822
URI: http://eprints.soton.ac.uk/id/eprint/441822
ISSN: 1365-2966
PURE UUID: 47b19b04-32ee-4f81-a479-f7f17adfb780
ORCID for Philip J. Grylls: ORCID iD orcid.org/0000-0001-9677-5852

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Date deposited: 29 Jun 2020 16:32
Last modified: 11 Nov 2024 18:35

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Contributors

Author: David H Weinberg
Author: Christopher Marsden
Author: Philip J. Grylls ORCID iD
Author: Mariangela Bernardi
Author: Guang Yang
Author: Benjamin Moster
Author: Hao Fu
Author: Rosamaria Carraro
Author: David M. Alexander
Author: Viola Allevato
Author: Tonima T. Ananna
Author: Angela Bongiorno
Author: Giorgio Calderone
Author: Francesca Civano
Author: Emanuele Daddi
Author: Ivan Delvecchio
Author: Federica Duras
Author: Fabio La franca
Author: Andrea Lapi
Author: Youjun Lu
Author: Nicola Menci
Author: Mar Mezcua
Author: Federica Ricci
Author: Giulia Rodighiero
Author: Ravi K Sheth
Author: Hyewon Suh
Author: Carolin Villforth
Author: Lorenzo Zanisi

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