Stellar Energy Relaxation around A Massive Black Hole
arXiv:1209.4594 · doi:10.1088/0004-637X/764/1/52
Abstract
[abridged] Energy relaxation around a massive black hole (MBH) is key to establishing the dynamical state of galactic nuclei, and the nature of close stellar interactions with the MBH. The standard description of relaxation as diffusion provides a perturbative 2nd-order solution in the weak two-body interaction limit. We run N-body simulations and find that this solution fails to describe the non-Gaussian relaxation on short timescale, which is strongly influenced by extreme events even in the weak limit, and is thus difficult to characterize and measure. We derive a non-perturbative solution for relaxation as an anomalous diffusion process, and develop a robust estimation technique to measure it in simulations. These enable us to analyze and model our numerical results, and validate in detail, for the first time, this model of energy relaxation around an MBH on all timescales. We derive the relation between the energy diffusion time, t_E, and the time for a small perturbation to return to steady state, t_r, in a relaxed, single mass cusp around a MBH. We constrain the contribution of strong encounters, measure that of the weakest encounters, determine the value of the Coulomb logarithm, and provide a robust analytical estimate for t_E in a finite nuclear stellar cusp. We find that t_r ~ 10t_E ~(5/32)Q^2P_h/N_h log Q, where Q=M_bh/M_* is the MBH to star mass ratio, the orbital period P_h and number of stars N_h are evaluated at the energy scale corresponding to the MBH's sphere of influence, E_h=sigma_inf^2, where sigma_inf is the velocity dispersion far from the MBH. We conclude, using the observed cosmic M_bh/sigma correlation, that cusps around lower-mass MBHs (M_bh<10^7 Mo), which evolved passively over a Hubble time, should be relaxed. We consider the effects of anomalous energy diffusion on orbital perturbations of stars observed near the Galactic MBH.
20 pages, 11 figures, submitted to ApJ
References in corpus (2)
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