![]() | Annu. Rev. Astron. Astrophys. 2005. 43:
861-918 Copyright © 2005 by Annual Reviews. All rights reserved |
In this section we describe how the surveys allow us to measure
g(z),
the mass per unit comoving volume of neutral gas in damped
Ly
systems at redshift
z divided by the critical density,
crit.
The results, first derived by
Wolfe (1986) and
Lanzetta, Wolfe &
Turnshek (1995)
show that damped Ly
systems contain most of the neutral gas in the Universe at redshifts 1.6
< z < 5.0.
To estimate
g(z)
we first derive an expression for the column-density distribution,
f(N, X). Let the number of absorbers per sightline
with H I column densities and redshifts in the intervals (N,
N + dN) and (z, z + dz) be given by
![]() |
(1) |
where nco(N, z)dN is the comoving
density of absorbers within (N, N + dN) at z
and A(N, z) is the absorption cross-section at
(N, z). Defining dX
(H0 / c)(1 + z)3 |c
dt / dz| dz
(Bahcall & Peebles 1969)
we have
![]() |
(2) |
where
![]() |
(3) |
and Nmin and Nmax are minimum and
maximum column densities, respectively.
1
Therefore, one cannot infer the comoving density nor the area of damped
Ly systems from their
incidence along the line of sight, but only their product. Note that
d
/ dX will
be independent of redshift if the product of the comoving density and
absorption cross-section at (N, X) is independent of
redshift. Since the gaseous mass per damped
Ly
system is given by
µ mHNA(N,X), it follows from
Equation 3 that
![]() |
(4) |
where µ is the mean molecular weight, which is included to account for the contribution of He to the neutral gas content.
Using these expressions in the discrete limit, several authors have
determined f(N, X) and its first two moments,
d / dX and
g(z),
where
![]() |
(5) |
and n is the number of damped
Ly systems within
(X, X +
X).
We now discuss each of these in turn.
Figure 3 shows the most recent
determination of f(N, X) from the statistical
sample of over 600 damped Ly systems
(Prochaska, Herbert-Fort
& Wolfe 2005).
The figure also shows best-fit solutions for the three functional forms
used to describe f(N, X): a single power-law,
f(N, X) = k1
N
1; a
function (e.g.,
Pei & Fall 1993)
f(N, X) = k2(N /
N
)
2 exp(-N /
N
); and a double power-law f(N,
X) = k3(N /
N
)
where
=
3 at N
< Nd and
4 at N
Nd. The
single power-law solution with a best-fit slope of
1 = -2.20
± 0.05 is a poor description of the data since a KS test shows
there is a 0.1% probability that the data and power-law solution are
drawn from the same parent population. This result is in contrast with the
Ly
forest where a single
power-law with
1
-1.5 provies a good
fit to the data
(Kirkman & Tytler 1997).
Although a single power-law is a poor fit to the observations, the
f(N, X) distribution is steeper than
N-2 at large column densities. This is illustrated by
the other two curves in
Figure 3 that show the
function (dashed
line) and the double power-law (dashed-dot line). Both
solutions are good fits to the data. Furthermore, the solutions provide
good agreement between the "break" column densities
N
and Nd, and between the power-law
indices at low column densities, which approach a "low-end" slope
= -2.0. Most
importantly, both solutions indicate
<< - 2.0 at
N
1021.5
cm-2. The significance of this very steep slope at the "high
end" will be explored further in Section 2.4.
Prochaska, Herbert-Fort
& Wolfe (2005)
also find evidence for evolution in f(N, X), which
will be clearly visible in the redshift dependence of
d / dX, the
zeroth moment of f(N, X), and of
g(z),
the first moment of f(N, X)
(see Sections 2.3 and 2.4). At low
column densities, f(N, X) increases with redshift
by a factor of 2 at z
2.2.
Prochaska, Herbert-Fort
& Wolfe (2005)
detect a similar evolution at higher values of N. By contrast,
the shape of f(N, X) does not appear to evolve with
redshift. This is in disagreement with the earlier results of
Storrie-Lombardi &
Wolfe (2000)
and Péroux et
al. (2003b)
who used much smaller samples to claim that f(N, X)
steepened at z > 3.5.
In Figure 4 we plot the most recent evaluation
of d / dX
versus z for damped
Ly
systems with z
0 (see
Prochaska, Herbert-Fort
& Wolfe 2005).
The solid line traces the value of
d
/ dX
derived in a series of 0.5 Gyr time intervals to reveal the effects of
binning. The data points at z = 0 are three estimates of
(d
/
dX)z=0 based on the H I properties of nearby
galaxies. The figure shows a decrease by a factor of two in
d
/ dX from
z = 4 to 2. From Equations 2 and 3 we see that the decrease in
d
/ dX
reflects a decrease in either H I cross section, comoving density, or of
both quantities.
Prochaska, Herbert-Fort
& Wolfe (2005)
use the Press-Schecter formalism to show that significant variations in
comoving density with time are unlikely to occur. Therefore, within the
context of CDM models the most likely explanation for the changes in
d
/ dX is a
decrease in H I cross section with time. This is probably due to
feedback mechanisms such as galactic winds.
![]() |
Figure 4. Incidence of damped
Ly |
Figure 4 also shows that
d / dX at
z
2 is
consistent with the present-day value, i.e., the data are consistent
with an unevolving population of galaxies.
2 By comparison,
Wolfe et al. (1986)
required an increase of more than a factor of 4 with redshift in
d
/ dX. The
discrepancy arises from the earlier use of an Einstein-deSitter rather
than the modern
CDM
cosmology to estimate
X intervals,
and from the lower values of
(d
/
dX)z=0 used in the earlier work. This result
implies that between z = 1 and 2 smaller galaxies merged to
produce bigger ones such that the product of comoving density and total
H I cross-section for N(H I)
2 × 1020
cm-2 is conserved.
Figure 5 shows the most recent determination of
g(z).
From Equation 4 we see that
g(z)
is sensitive to the upper limit Nmax unless
<< -2. This led
to large uncertainties in
g(z)
in previous work because
was not measured with
sufficient accuracy to rule out
-2. However, with the large
sample of over 600 damped
Ly
systems,
Prochaska, Herbert-Fort
& Wolfe (2005)
use several tests to show that
g(z)
converges. First, they compute
1 for a
single power-law fit to f(N, X) by increasing
Nmin from 2 × 1020
cm-2. Using the full sample of damped
Ly
systems they find
1 decreases
with increasing Nmin from -2.2 at
Nmin = 2 × 1020 cm-2 to
less than -3 at Nmin >
1021cm-2. At the same time they find that
1 is
insensitive to variations in Nmax. Second, they
compute the sensitivity of
g(z)
to Nmax. Both the double power-law and
function solutions
converge to the value indicated by the data
(Equation 5). By contrast the single power-law solution does not
converge. This is the first evidence that
g(z)
converges by N
1022 cm-2.
![]() |
Figure 5. Neutral gas mass density versus
z from
Prochaska et al. (2005).
H I data at (a) z
|
Next, consider the redshift evolution of
g(z).
Starting at the highest redshifts, no increase of
g(z)
with decreasing z is present at z > 3.5, contrary to
earlier claims
(Storrie-Lombardi &
Wolfe 2000,
Péroux et al. 2003b).
On the other hand, Figure 5 shows the first
statistically significant evidence that
g(z)
evolves with redshift. Specifically,
g(z)
decreases from 1 × 10-3 at z = 3.5 to 0.5
× 10-3 at z = 2.3, which mirrors the decline in
d
/ dX
discussed in
Section 2.3. The same mechanism is likely to cause the
decline in both quantities, i.e., a decrease in H I cross section due to
feedback. But at z < 2.3 the picture is somewhat confusing.
Figure 5 shows an increase of
g(z)
by z ~ 2, which is consistent with the values of
g(z)
in the two lower redshift bins at 0 < z < 2. Indeed, the
data are consistent with no evolution, if one ignores the redshift
interval centered at z = 2.3. However,
Prochaska, Herbert-Fort
and Wolfe (2005)
emphasize that the uncertainties in the data at 0 < z < 2.3
are much larger than at z > 2.3, and thus such conclusions
should be treated with caution.
Next, we compare the high-z values of
g(z)
with various mass densities at z = 0. First, comparison with the
current density of visible stars,
*,
reveals that
g(z)
at z
3.5 is a
factor of 2 to 3 lower than
*:
If the census of visible stars were restricted to stellar disks, then
g(z)
at these redshifts would exceed
*
(z = 0). A straightforward interpretation of this concurrence is
that damped
Ly
systems provide the
neutral gas reservoirs for star formation at high redshifts. However,
since
*
(z = 0) exceeds
g(z
3.5), the reservoir
must be replenished with new neutral gas before the present
epoch. Further evidence for replenishment is that it is required to
compensate for gas depletion due to star formation detected in damped
Ly
systems (see
Section 8). As a result, the "closed box"
hypothesis for evolution in damped
Ly
systems is unlikely to be correct (see
Lanzetta et al. 1995).
Figure 5 also shows that
g(z)
at z
3.5 is
significantly higher than
g(z)
at z = 0, which is deduced from surveys for 21-cm
emission. Therefore, damped
Ly
systems provide
direct evidence for the widely held theoretical view that the neutral
gas content of the universe was larger at high redshifts than it is
today. Figure 5 also shows that
g(z)
at z
3.5 is at
least a factor of 10 greater than
*
in dwarf irregular galaxies, which argues against the idea that damped
Ly
systems evolve into
such objects (e.g.,
Jimenez et al. 1999).
Therefore, since Lyman limit systems do not contribute significantly to
the neutral gas content at any redshift (see
Prochaska, Herbert-Fort
& Wolfe 2005)
and ignoring the possible existence of a significant population of dusty
giant molecular clouds, we conclude that damped
Ly systems contain most
of the gas available for star formation at z
1.6. At low redshifts the
ionizing background is reduced and lower N(H I) systems might be
mainly neutral. But at z = 0,
Minchin et al. (2003)
find a paucity of galaxies with column densities less than N(H I)
= 2 × 1020 cm-2 measured from 21 cm emission,
implying that at the lowest redshifts, damped
Ly
system column
densities comprise most of the neutral gas in the universe. As a result,
damped
Ly
systems dominate the
neutral-gas content of the universe in the redshift interval 0 <
z < 5.
Of course, all of these conclusions ignore obscuration by dust in damped
Ly systems, which may
have biased the form of f(N, X) (see
Pei, Fall & Bechtold
1991;
Fall & Pei 1993).
We discuss this possibility in Section 10.
They also ignore biassing due to lensing, which may be present (see
Section 12).
Here we discuss attempts to use the H I content of damped
Ly systems to test
models of galaxy formation and evolution.
2.5.1. PASSIVE EVOLUTION: THE NULL HYPOTHESIS
Boissier, Péroux &
Pettini (2003)
modeled the evolution of H I content within the null hypothesis of
passive evolution. In this scenario damped
Ly absorption arises in
disk galaxies with the comoving density of current spiral galaxies. The
models are hybrids of passive evolution, in which the H I content is
changed only by processes of stellar evolution, and the spherical
collapse model in an expanding Universe, in which high-z disks
are smaller than current disks. The models successfully explain the
measurement of
d
/ dX,
f(N, X), and
g(z)
at z < 2 but fall short at higher redshifts because of delayed
disk formation. For these reasons, the authors suggest the added
presence of a population of low-surface brightness, gas-rich galaxies at
z
2. However, evidence
against the "closed box" hypothesis discussed in
Section 2.4 is a difficult challenge for this and all
passive evolution models.
Several aspects of cosmology and galaxy formation have been examined
through comparisons of numerical simulations of galaxy formation in a
CDM Universe with the observed H I properties of damped
Ly systems. A critical
feature of these models is that gas falling onto dark-matter halos is
heated to their virial temperatures, then cools off, and collapses
toward the central regions of the halos. Galaxies arise from the
formation of stars out of the cool (presumably neutral) collapsed gas
and evolve through mergers between dark-matter halos and further infall
of gas onto the halos.
The first studies
(Klypin et al. 1995,
Ma & Bertschinger 1994)
constrained the cosmological mass constituents through comparisons with
g(z).
The observations severely restricted the contribution from a hot
component (i.e., neutrinos) as these cold + hot dark matter cosmogonies
underpredicted structure formation at early times
(Katz et al. 1996).
Subsequent papers by Gardner et al.
(1997a,
b,
2001)
examined the properties of damped
Ly
systems in their
smooth particle hydrodynamic (SPH) simulations. These models generically
underpredicted the incidence of damped
Ly
systems, which the
authors argued was due to an insufficient mass resolution of
1011
M
.
They did find reasonable agreement with the data, however, by
extrapolating to halos with Mh
1010
M
using
the Press-Schechter formalism, and by assuming that the H I
cross-section followed the power-law expression A
vc1.6. As stressed by
Prochaska & Wolfe
(2001),
this power-law expression implies a vc distribution
that is incompatible with the observed damped
Ly
velocity widths (see
Section 6).
Nagamine, Springel &
Hernquist (2004a)
recently analyzed a comprehensive set of high-resolution SPH simulations
of a CDM
Universe. By contrast with
Gardner et al. (1997a),
they find that halo masses down to Mh
108
M
contribute to the H I cross-sections: halos with Mh
< 108
M
do not
contribute since they contain only photo-ionized gas. In turn, Nagamine
et al. find a steeper power-law expression A
v2.7c, i.e., massive halos make a larger
contribution to
d
/ dX than
in previous models. They conclude that
Gardner et al. (1997a)
predicted an overabundance of damped
Ly
systems with
Mh < 1010
M
because the slope of their A versus vc relation
was too shallow.
Nagamine, Springel &
Hernquist (2004a)
were the first to include mass loss of neutral gas due to winds, which
increases the median halo-mass contribution to
d
/ dX to
1011
M
.
Winds also prevent an overabundance of
g(z)
at z
4, but
underpredict
g(z)
at z < 4.
Nagamine, Springel &
Hernquist (2004a)
continue to find a deficit of damped
Ly
systems with
N(H I) < 1021cm-2. The deficit of
systems with low N(H I) is a generic effect seen in most (e.g.,
Figure 3 in
Katz et al. 1996)
but not all numerical simulations
(Cen et al. 2003)
and is a shortcoming that needs to be addressed. On the other hand, the
Nagamine, Springel &
Hernquist (2004a)
models are the most successful in reproducing the evolution of
g(z)
at z
2
(Figure 5).
2.5.3. SEMIANALYTIC AND ANALYTIC MODELS
The semianalytic models were proposed to include processes beneath the
resolution of the numerical simulations with phenomenological
descriptions of star formation, gas cooling, and the spatial
distribution of the gas. The latter is included since the simulations
failed to reproduce the correct sizes and angular momenta of present-day
galactic disks
(Navarro & Steinmetz
2000),
and we do not know whether the simulations produce the correct spatial
distribution of neutral gas at z ~ 3. This is a concern because
damped Ly systems are a
cross-section weighted population of high-redshift layers of neutral gas
and therefore the results will be sensitive to the gas distribution at
large impact parameters. By contrast with the numerical simulations, one
uses analytic expressions from Press-Schechter theory or its extensions
(Press & Schechter 1974;
Sheth, Mo & Tormen
2001)
to compute the mass function of halos that evolve from a given power
spectrum.
Mo & Miralda-Escudé
(1994)
modeled damped Ly
systems with the Press-Schechter formalism in both mixed cold + hot dark
matter and
CDM
cosmologies.
Kauffmann (1996)
used a SCDM cosmology
([
M,
,
h] = 1.0, 0.0, 0.5) to construct improved semianalytic models for
damped
Ly
systems. She assumed
spherical geometry for the halos and let the neutral-gas in a given halo
be confined to a smaller, centrifugally supported disk. To compute the
radial distribution of the neutral gas, the angular momentum per unit
mass of the disk was set equal to that of the halo. Using Monte Carlo
methods, she computed the formation and growth of individual halos with
time. The neutral-gas content was assumed to be regulated by accretion
due to mergers and star formation, but feedback due to winds was
omitted. In common with the
Nagamine, Springel &
Hernquist (2004a)
simulations, the
Kauffmann (1996)
models exhibited a deficit of systems with N(H I) <
1021cm-2.
Mo, Mao & White (1998)
constructed models for disk formation that were also based on the
Press-Schechter formalism. These models extended the work of
Kauffmann (1996)
by considering disks drawn from a distribution of halo spin parameters,
H, rather
than using Kauffmann's technique of assigning the mean value of
H to each
disk. Since disks detected in a survey for damped
Ly
systems are drawn
from a cross-section weighted sample favoring bigger disks, the
distribution of
H
will be skewed to values higher than the
unweighted mean. The result is larger H I cross-sections and higher
detected rotation speeds. Consequently, they found agreement between the
predicted and observed
d
/ dX
relation.
Maller et al. (2001)
then suggested a model in which the gas is in extended
Mestel (1963)
disks in which the surface density falls off inversely with the
radius. In this case the disks overlap and as a result the observed
f(N, X) is reproduced; i.e., there is no deficit of
systems with N(H I) < 1021cm-2. However,
it is unclear whether such extended disks will either form or survive
sufficiently long to contribute to the H I cross-sections of damped
Ly
systems. Furthermore,
most semianalytic models overestimate
g(z)
at z
2, since they
underpredict feedback processes at these redshifts
(Figure 5).
1 Note that
dX / dz = (1 + z)2[(1 +
z)2(1 + z
m) -
z(z + 2)
]-1/2
Back.
2
Ryan-Weber et al.(2003)
present evidence that f (N, X) at z = 0 is
significantly lower in amplitude than the results at higher redshifts,
but this result is puzzling
since comparison between the resultant
d / dX at
z = 0 with the higher redshift data in
Figure 4 reveals no evidence for evolution.
Back.