![]() | Annu. Rev. Astron. Astrophys. 1998. 36:
267-316 Copyright © 1998 by Annual Reviews. All rights reserved |
5.1. Hydrodynamic Simulations of the
Ly Forest
NUMERICAL APPROACHES
From the early 1990s on hydrodynamic cosmological simulations became
sufficiently realistic to be able to quantitatively predict the
physical properties of the intergalactic medium and the high redshift
Ly forest from the initial
conditions of a given structure formation model (e.g.,
Cen & Ostriker 1993).
A Ly
forest
spectrum is completely specifed by the Hubble constant, gas density,
temperature, peculiar velocity, and neutral fraction along the LOS.
By predicting these quantities for artificial QSO LOS through simulated
slices of the universe it becomes possible to examine the
correspondence between Ly
forest absorbers and the physical
properties of the underlying gaseous structures. This approach was
first taken by
Cen et al 1994
(see also
Miralda-Escudé et al
1996)
using an Eulerian hydro-simulation of a
CDM model. Since then
a range of other numerical techniques have been applied to different
cosmological models. The basic properties of the
Ly
forest
turn out to be only weakly dependent on the cosmological model, and
similar answers have been obtained with a variety of approaches:
Petitjean et al (1995)
grafted the baryons onto a COBE
normalized cold dark matter distribution from an DM particle mesh
simulation, using an analytic prescription to track the thermal history
of the gas. A standard CDM model has been studied by
Zhang et al (1995,
1997)
with an Eulerian code, and by
Hernquist et al (1996),
with a Lagrangian, Smoothed Particle Hydrodynamics (SPH) technique. As
a crude general rule of thumb the Eulerian codes are capable of higher
resolution for the void regions producing the lowest column density
Ly
forest, whereas the
Lagrangian codes are superior for
regions like minihalos or galaxies where a larger dynamic range is
required. Thus the use of SPH codes has been extended to study damped
Ly
systems
(Katz et al 1996)
and metal absorption systems
(Haehnelt et al 1996a).
Hybrid schemes (e.g.,
Wadsley & Bond 1997)
can be tailored to capture the influence of both, large
scale (long wavelength) gravitational effects and the small scale gas
dynamics, on the
formation of Ly
absorbers.
THE NATURE OF LYMAN ALPHA ABSORBERS Inspite
of some quantitative differences a generic picture of the
Ly
forest has emerged from these studies: Low column density systems
(log N(HI)
14) are associated
with sheet-like structures, not
unlike small versions (length scale ~ a few hundred kpc to 1 Mpc
proper) of Zeldovich pancakes. Gas accretes through weak shocks
(creating a double humped temperature profile), and settles in a dense,
central cooling layer, presumably to form stars. At the lowest column
densities gas remains unshocked and just bounces back because of the
hydrostatic pressure. The gas is partly confined by gravity and partly
by ram-pressure. Higher column density clouds arise in more
filamentary structures, with column density contours of
log N(HI) ~ 14 extending continously and with relatively
constant thickness (~ 40 - 100 kpc proper) over Mpc distances. With
increasing column
density the absorber geometry becomes rounder; column density contours
at log N(HI)
16 invariably are
spherical, entering the regime
where the absorbers more closely correspond to minihalos; there the
enclosed gas column is high enough to make the absorption system appear
as a Lyman limit or damped
Ly
system.
Figure 2 shows the spatial appearance of the
Ly
absorbers. The
visual appearance of the low column density, sheetlike-filamentary structure
has been aptly described as a "Cosmic Web"
(Bond & Wadsley 1997).
Looking at the higher column density, optically thick gas on
scales of several Mpcs one gets a somewhat different impression of
chains of mini- or larger halos, lining up like pearls on a string,
quite similar to the structure seen in N-body simulations of the dark
matter distribution. Confirming earlier analytical work, a large
fraction of all baryons (80 - 90%) resides in the low column density
Ly
forest, mostly in the
column density range 14 < log N(HI) < 15.5
(Miralda-Escudé et al
1996).
![]() |
Figure 2. HI column density contours for a
slice of the 10 h-1 Mpc (comoving) box from the
|
A glance at a typical density-temperature diagram (Figure 3) for random lines of sight through one of the SPH simulations (Haehnelt et al 1996b) reveals significant departures from thermal photoionization equilibrium for all but the highest density gas (nH < 10-3cm-2). The temperature density relation is generally steeper than the equilibrium curve, because the lower density gas cools by expansion, while the gas in the density range nH ~ a few times 10-5 - 10-3 cm-3 is heated by adiabatic compression or shock heating. Temperatures below 104K occur in voids where the expansion velocity is largest.
![]() |
Figure 3. Density - temperature (n -
T) diagram of the
Ly |
The gas is
still being accreted at the epoch of observations (z ~
3). Nevertheless, the lower column
density flattened gas structures expand in proper coordinates because
the gravitational pull decreases together with the dark matter surface
density,
as the universe expands. Many of the weaker absorption lines arise in
low density, relatively extended regions, which expand with a
substantial fraction of the Hubble velocity. The expansion, and the low
temperatures due to the low density and the adiabatic cooling in voids
ensure that at column densities (log N(HI)
13) bulk motion
becomes the dominant source of line broadening
(Miralda-Escudé et al
1996;
Weinberg et al 1997).
MATCHING THE OBSERVATIONS The simulations have
been quite successful in matching the overall observed properties of
the absorption systems, and the agreement ranges from the acceptable to
the amazing. The shape of the column density distribution and the
Doppler parameter distribution are reasonably well reproduced by the
simulations.
(Cen et al 1994;
Zhang et al 1995,
1997;
Hernquist et al 1996;
Miralda-Escudé et al
1996).
Although the approximate range of
Doppler parameters is hard to miss (with photoionization being the
great equalizer), subtle effects can raise or lower the mean line width
by ~ 30% and change the shape of the Doppler parameter
distribution. There may be some discrepancy for the Doppler parameters
between different simulations
(Zhang et al 1997,
Davé et al 1997,
Miralda-Escudé et al
1996)
but it is not yet clear whether this is
due to different types of data analysis, different assumptions about
the process of reionization, or limited numerical resolution. A
departure from Voigt profile shapes, especially the broad wings of weak
lines signifying bulk motion broadening in sheets, is seen in the
simulations
(Cen et al 1994)
and appears to be present in real high resolution spectra
(Rauch 1996).
The large transverse sizes of the absorbers seen against background
QSO pairs and lensed QSOs are readily explained by the coherence length
of the sheets and filaments
(Miralda-Escudé et al
1996;
Charlton et al. 1997;
Cen & Simcoe 1997).
The weak clustering amplitude appears
to be in agreement with the observations. The histogram of residual
fluxes in the Ly forest is
reproduced very well by the models
(Rauch et al 1997).
Conversely, we may take this as observational
evidence in favor of some sort of hierarchical structure formation model.
The evolution of the Ly
forest with time at high redshift is
mainly driven by the Hubble expansion and the resulting increase in the
mean ionization of the gas, and to a lesser degree by the gas streaming
along the filaments
(Miralda-Escudé et al
1996).
Muecket et al (1996),
from their simulation, find that the number of absorbers per
redshift is given by a broken power law, with
~ 2.6
(1.5 < z < 3) and
~ 0.6 (0 < z
< 1.5), (log N(HI) > 14)
(Riediger et al 1998),
a remarkable agreement with the
observed data. The break in the power law can be understood as a
change with time in the dimensionality of the structures dominating the
absorption. The sheetlike absorbers dominating the high redshift
Ly
forest are expanding with
time and are dropping below the
detection threshold first because of their low column density, leaving
the absorption from the less rapidly evolving gas distribution in the
filaments and knots to dominate. There the column density also
decreases, but since the original column was higher, the filaments
remain visible for longer. Continuing infall also contributes to the
increasing prominence of the more compact structures.