2019
DOI: 10.1093/mnras/stz822
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The erratic dynamical life of black hole seeds in high-redshift galaxies

Abstract: The dynamics of black hole seeds in high redshift galaxies is key to understand their ability to grow via accretion and to pair in close binaries during galactic mergers. To properly follow the dynamics of black holes we develop a physically motivated model to capture unresolved dynamical friction from stars, dark matter and gas. We first validate the model and then we use it to investigate the dynamics of seed black holes born at z ∼ 9 in dwarf proto-galaxies. We perform a suite of zoom cosmological simulatio… Show more

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Cited by 144 publications
(131 citation statements)
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“…Callegari et al 2009;Fiacconi et al 2013;Capelo et al 2015;Tamburello et al 2017;Pfister et al 2017;Tamfal et al 2018, and references therein). In zoomed-in high redshift (z ∼ 9) simulations of dwarf protogalaxies, dynamical friction against stars is found to be the main process of BH orbital decay for ∼ 10 5 M ⊙ seeds, while erratic dy-namics is seen below this mass, implying either rapid decay or BH wandering/ejection and the presence of multiple BHs in a galaxy, each inherited from a different merger (Pfister et al 2019). Interestingly, at high redshifts (z > 6) and for BHs of ∼ 10 6 M ⊙ , global or bar-induced torques in some cases appear to be more efficient than dynamical friction in promoting BH binary formation on timescales comparable to the local Hubble time at those redshift (Bortolas et al 2020).…”
Section: Discussionmentioning
confidence: 98%
“…Callegari et al 2009;Fiacconi et al 2013;Capelo et al 2015;Tamburello et al 2017;Pfister et al 2017;Tamfal et al 2018, and references therein). In zoomed-in high redshift (z ∼ 9) simulations of dwarf protogalaxies, dynamical friction against stars is found to be the main process of BH orbital decay for ∼ 10 5 M ⊙ seeds, while erratic dy-namics is seen below this mass, implying either rapid decay or BH wandering/ejection and the presence of multiple BHs in a galaxy, each inherited from a different merger (Pfister et al 2019). Interestingly, at high redshifts (z > 6) and for BHs of ∼ 10 6 M ⊙ , global or bar-induced torques in some cases appear to be more efficient than dynamical friction in promoting BH binary formation on timescales comparable to the local Hubble time at those redshift (Bortolas et al 2020).…”
Section: Discussionmentioning
confidence: 98%
“…Tremmel et al 2015;Pfister et al 2017). For this, we follow the approach of Pfister et al (2019) to model the dynamical friction exerted both by the gas and by the collisionless particles (stars and DM), which we do not resolve directly in our simulation. For the dynamical friction exerted by the gas, the matter lagging behind the BH induces a drag force (Ostriker 1999), that we model following Dubois et al (2013).…”
Section: Bh Modelmentioning
confidence: 99%
“…In this work, we take ρ DF,th = 50 cm −3 . For the dynamical friction caused by the collisionless particles (stars and DM), we use the implementation of Pfister et al (2019): the (negative) acceleration of the gas is again caused by matter lagging behind the BH, and is a function of the BH mass, velocity, and of the detailed distribution of stars and DM within 4∆x of the BH. We note that the implementation for collisionless particles is similar to that of Tremmel et al (2015).…”
Section: Bh Modelmentioning
confidence: 99%
“…The black hole dynamics is by far more complex to describe, as halos are non-relaxed systems and subjected to repeated, multiple interactions. Gas clumps can make the dynamics stochastic, and star formation and feedback can change the underlying background, broadening significantly the lifetime distribution for the binaries in the LISA-relevant mass range (Bellovary et al 2019;Pfister et al 2019). Delay times between halo-halo mergers and black hole mergers can be computed using semi-analytical models which include also the formation of triple systems as a vehicle for the formation and coalescence of these light black holes (Bonetti et al 2019).…”
Section: Discussionmentioning
confidence: 99%