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    Gravitational Wave Signals from the First Massive Black Hole Seeds


    Hartwig, Tilman, Agarwal, Bhaskar and Regan, John (2018) Gravitational Wave Signals from the First Massive Black Hole Seeds. Monthly Notices of the Royal Astronomical Society, 479. ISSN 1365-2966

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    Abstract

    Recent numerical simulations reveal that the isothermal collapse of pristine gas in atomic cooling haloes may result in stellar binaries of supermassive stars with M∗≳104 M⊙. For the first time, we compute the in-situ merger rate for such massive black hole remnants by combining their abundance and multiplicity estimates. For black holes with initial masses in the range 104−6 M⊙ merging at redshifts z≳15 our optimistic model predicts that LISA should be able to detect 0.6 mergers per year. This rate of detection can be attributed, without confusion, to the in-situ mergers of seeds from the collapse of very massive stars. Equally, in the case where LISA observes no mergers from heavy seeds at z≳15 we can constrain the combined number density, multiplicity, and coalesence times of these high-redshift systems. This letter proposes gravitational wave signatures as a means to constrain theoretical models and processes that govern the abundance of massive black hole seeds in the early Univer
    Item Type: Article
    Keywords: quasars; supermassive black holes; cosmology; dark ages; reionization; first stars; galaxies; high-redshift; gravitational waves;
    Academic Unit: Faculty of Science and Engineering > Theoretical Physics
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 13181
    Identification Number: 10.1093/mnrasl/sly091
    Depositing User: John Regan
    Date Deposited: 07 Aug 2020 20:17
    Journal or Publication Title: Monthly Notices of the Royal Astronomical Society
    Publisher: The Royal Astronomical Society
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/13181
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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