| Animated Figures |
| Below are animated versions of figures 1 through 3 which show evolution with redshift. Click the image to view the animations, or right-click to save them. |
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| Figure 1. The black hole vs. galaxy bulge mass relation at z = 0.
The colour dots show the relation obtained using one tenth of the
Millennium simulation. The colours distinguish galaxies according
to whether they are satellites (green points) or central galaxies
of halo of masses < 3×1011h-1MSun; (black points), 3×1011-
1012h-1MSun (blue points) or > 1012h-1MSun (red points). The
points with error bars are local data from Haering & Rix (2004);
the black line gives the best fitting relation to these data. |
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| Figure 2. The contribution of different processes to the volume
averaged rate of growth of black hole mass as a function
of redshift. The colour lines illustrate the contribution to the
black hole mass growth rate from: galaxy mergers (red); disk
instabilities (green); accretion associated with AGN feedback in
quasi-hydrostatic flows (blue). At high redshift, the growth of
black holes is dominated by instabilities in the rapidly forming
disks. At lower redshifts, it is dominated by accretion from quasihydrostatic
cooling in massive halos. |
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| Figure 3. The luminosity function of galaxies in the local Universe.
The upper panel compares the model bJ -band luminosity
function (red lines) with the observational determination from the
2dF galaxy redshift survey by Norberg et al. (2002). Here and
in the panel below the dotted line shows the model prediction
without dust obscuration and the solid line the prediction taking
obscuration into account, while the dashed lines show models in
which feedback from AGN has been switched off. The lower panel
compares the K-band luminosity function in the model to the observational
determinations by Cole et al. (2001) and Huang et al.
(2003). Arrows indicate the approximate magnitude faintwards of
which of sample of model galaxies becomes incomplete due to the
limited mass resolution of the Millennium simulation. |