8,213 research outputs found
Accretion Disc Particle Accretion in Major Merger Simulations
A recent approach to simulating localized feedback from active galactic
nuclei by Power et al. (2011) uses an accretion disc particle to represent both
the black hole and its accretion disc. We have extrapolated and adapted this
approach to simulations of Milky Way-sized galaxy mergers containing black
holes and explored the impact of the various parameters in this model as well
as its resolution dependence. The two key parameters in the model are an
effective accretion radius, which determines the radius within which gas
particles are added to the accretion disc, and a viscous time-scale which
determines how long it takes for material in the accretion disc to accrete on
to the black hole itself. We find that there is a limited range of permitted
accretion radii and viscous time-scales, with unphysical results produced
outside this range. For permitted model parameters, the nuclear regions of
simulations with the same resolution follow similar evolutionary paths,
producing final black hole masses that are consistent within a factor of two.
When comparing the resolution dependence of the model, there is a trend towards
higher resolution producing slightly lower mass black holes, but values for the
two resolutions studied again agree within a factor of two. We also compare
these results to two other AGN feedback algorithms found in the literature.
While the evolution of the systems vary, most notably the intermediate total
black hole mass, the final black hole masses differ by less than a factor of
five amongst all of our models, and the remnants exhibit similar structural
parameters. The implication of this accretion model is that, unlike most
accretion algorithms, a decoupling of the accretion rate on to the black hole
and the local gas properties is permitted and obtained; this allows for black
hole growth even after feedback has prevented additional accretion events on to
the disc.Comment: 17 pages, accepted to MNRA
Angular quantization and the density matrix renormalization group
Path integral techniques for the density matrix of a one-dimensional
statistical system near a boundary previously employed in black-hole physics
are applied to providing a new interpretation of the density matrix
renormalization group: its efficacy is due to the concentration of quantum
states near the boundary.Comment: 8 pages, 3 figures, to appear in Mod. Phys. Lett.
AGN Feedback models: Correlations with star formation and observational implications of time evolution
We examine the correlation between the star formation rate (SFR) and black
hole accretion rate (BHAR) across a suite of different AGN feedback models,
using the time evolution of a merger simulation. By considering three different
stages of evolution, and a distinction between the nuclear and outer regions of
star formation, we consider 63 different cases. Despite many of the feedback
models fitting the M-\sigma\ relationship well, there are often distinct
differences in the SFR-BHAR correlations, with close to linear trends only
being present after the merger. Some of the models also show evolution in the
SFR-BHAR parameter space that is at times directly across the long-term
averaged SFR-BHAR correlation. This suggests that the observational SFR-BHAR
correlation found for ensembles of galaxies is an approximate statistical
trend, as suggested by Hickox et al. Decomposing the SFR into nuclear and outer
components also highlights notable differences between models and there is only
modest agreement with observational studies examining this in Seyfert galaxies.
For the fraction of the black hole mass growth from the merger event relative
to the final black hole mass, we find as much as a factor of three variation
among models. This also translates into a similar variation in the
post-starburst black hole mass growth. Overall, we find that while qualitative
features are often similar amongst models, precise quantitative analysis shows
there can be quite distinct differences.Comment: Accepted to MNRAS. Comments welcom
Anomaly Inflow and Membrane Dynamics in the QCD Vacuum
Large and holographic arguments, as well as Monte Carlo results,
suggest that the topological structure of the QCD vacuum is dominated by
codimension-one membranes which appear as thin dipole layers of topological
charge. Such membranes arise naturally as branes in the holographic
formulation of QCD based on IIA string theory. The polarizability of these
membranes leads to a vacuum energy , providing the origin of
nonzero topological susceptibility. Here we show that the axial U(1) anomaly
can be formulated as anomaly inflow on the brane surfaces. A 4D gauge
transformation at the brane surface separates into a 3D gauge transformation of
components within the brane and the transformation of the transverse component.
The in-brane gauge transformation induces currents of an effective Chern-Simons
theory on the brane surface, while the transformation of the transverse
component describes the transverse motion of the brane and is related to the
Ramond-Ramond closed string field in the holographic formulation of QCD. The
relation between the surface currents and the transverse motion of the brane is
dictated by the descent equations of Yang-Mills theory.Comment: 22 pages, 3 figure
The Improvement Program in Nonrelativistic Lattice QCD
Progress in the improvement program in nonrelativistic lattice QCD is
outlined. The leading radiative corrections to the heavy-quark mass
renormalization, energy shift, and two important kinetic coupling coefficients
are presented. The reliability of tadpole-improved perturbation theory in
determining the energy shift and mass renormalization is demonstrated.Comment: 3 pages in uuencoded-compressed-PostScript format, to appear in the
Proceedings of LATTICE 93, Dallas, USA, October 1993; Edinburgh Preprint
93/53
Toward an Improved Analytical Description of Lagrangian Bias
We carry out a detailed numerical investigation of the spatial correlation
function of the initial positions of cosmological dark matter halos. In this
Lagrangian coordinate system, which is especially useful for analytic studies
of cosmological feedback, we are able to construct cross-correlation functions
of objects with varying masses and formation redshifts and compare them with a
variety of analytical approaches. For the case in which both formation
redshifts are equal, we find good agreement between our numerical results and
the bivariate model of Scannapieco & Barkana (2002; SB02) at all masses,
redshifts, and separations, while the model of Porciani et al. (1998) does well
for all parameters except for objects with different masses at small
separations. We find that the standard mapping between Lagrangian and Eulerian
bias performs well for rare objects at all separations, but fails if the
objects are highly-nonlinear (low-sigma) peaks. In the Lagrangian case in which
the formation redshifts differ, the SB02 model does well for all separations
and combinations of masses, apart from a discrepancy at small separations in
situations in which the smaller object is formed earlier and the difference
between redshifts or masses is large. As this same limitation arises in the
standard approach to the single-point progenitor distribution developed by
Lacey & Cole (1993), we conclude that a more complete understanding of the
progenitor distribution is the most important outstanding issue in the analytic
modeling of Lagrangian bias.Comment: 22 pages, 8 figures, ApJ, in pres
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