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Astron. Astrophys. 333, 399-410 (1998) AppendixA.1. Initial density fieldsIn hierarchical clustering models, structure forms by the gravitational growth of small inhomogeneities in the density field. The fluctuations in the density are conveniently characterised by the density contrast where To single out sites where objects of mass M are likely to form, the density contrast is first smoothed on the corresponding length scale where s is the smoothing length scale and is given by s
and Hoffman et al. (1992) extended the formalism of BBKS to investigate
the influence of the background density field on a given smaller scale
peak. By proceeding in a similar manner we consider two Gaussian
random fields, a peak field and The combined field Dimensionless field values, is the mean square density contrast (BBKS). Galaxies are believed
to form around peaks of height Inside radius s, the statistical properties of the density field
are primarily determined by the small scale peak constraint. But,
further away from the peak, the statistical properties depends on the
value of The approach then, is to set up a density field
To ensure that the field has an extremum at the center, it is also
required to have vanishing first derivatives there. These constraints
specifies the statistical properties of the field. The second
derivative of the field could also have been used as a constraint, to
ensure that the central extremum is in fact a maximum. This is
neglected since it would be a largely redundant constraint. It is very
unlikely that a Hoffmann & Ribak (1992) showed how to create a random
realization of a Gaussian field, that is subject to constraints that
are linear in the field. The method is computationally efficient, and
it is easy to handle several constraints. Any quantities, or
combinations of, that can be represented within linear theory, can be
used as constraints for the field. In addition to the "seeding' peak
itself, we have found it useful to also specify
The field is set up in a cubic region of size
Table A1. Simulation parameters. The background field cannot be accurately represented inside the
cubic region, where the density field is constructed, since it
consists of modes with wavelengths exceeding the size of the region.
These long wavelength modes can still have important dynamical
effects, because, by changing the overall density inside the cube,
these modes change the collapse times for structures in the region. A
constant density contrast of There is, however, by no means a one-to-one correspondence between
such density peaks and the galaxies that later form (Katz et al.
1993). Objects that form when peaks collapse at a high redshift can at
later times merge with other collapsed objects, and form new, more
massive, objects. Peaks in the density field at a high redshift will
then not be in a one to one correspondence with the galaxies that
later form. This is a nonlinear dynamical process that cannot be
handled by linear theory. N-body calculations have shown that a
significant number of the galactic halos that form, do in fact
correspond to peaks in the early density field. It may be argued that
the "peaks formalism" would generate atypical initial conditions. This
should not be the case however, as long as the parameters are within
statistically reasonable limits, i.e. The gravitational particle smoothing used in the simulations are shown in Table A1. A.2. Two-body heatingThere have been recent results showing that there can be undesired,
artificial heating of the gas component, due to two-body relaxation
like effects, caused by the dark matter halo (Steinmetz & White
1997). This could be the case for our simulations, where the dark
matter particles are of higher mass. (i.e. the simulations of
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