A great triumph of the
CDM scenario was
the overall consistency found between predicted and observed CMBR
anisotropies generated at the recombination epoch. In this scenario, the
gravitational evolution of CDM perturbations is the driver of cosmic
structure formation. At scales much larger than galaxies, (i) mass
density perturbations are still in the (quasi)linear regime, following
the scaling law of primordial fluctuations, and (ii) the dissipative
physics of baryons does not affect significantly the matter
distribution. Thus, the large-scale structure (LSS) of the Universe is
determined basically by DM perturbations yet in their (quasi)linear regime.
At smaller scales, non-linearity strongly affects the primordial scaling law
and, moreover, the dissipative physics of baryons "distorts" the
original DM distribution, particularly inside galaxy-sized DM halos.
However, DM in any case provides the original "mold" where gas dynamics
processes take place.
The CDM scenario
describes successfully the observed LSS of the Universe
(for reviews see e.g.,
[49,
58],
and for some recent observational results see e.g.
[115,
102,
109]).
The observed filamentary structure can be explained as a natural
consequence of the CDM gravitational instability occurring
preferentially in the shortest axis of 3D and 2D protostructures (the
Zel'dovich panckakes). The clustering of matter in space, traced mainly
by galaxies, is also well explained by the clustering properties of
CDM. At scales r much larger than typical galaxy sizes, the
galaxy 2-point correlation function
gal(r)
(a measure of the average clustering strength on spheres of radius
r) agrees rather well with
CDM(r). Current large statistical galaxy
surveys as SDSS and 2dFGRS, allow now to measure the redshift-space
2-point correlation function at large scales with unprecedented
accuracy, to the point that weak "bumps" associated with the baryon
acoustic oscillations at the recombination epoch begin to be detected
[41].
At small scales (
3 Mpch-1),
gal(r) departs from the
predicted pure
CDM(r) due to the emergence of two
processes:
(i) the strong non-linear evolution that small scales underwent, and (ii)
the complexity of the baryon processes related to galaxy formation. The
difference between
gal(r) and
CDM(r) is parametrized
through one "ignorance" parameter, b, called bias,
gal(r) = b
CDM(r).
Below, some basic ideas and results related to the former processes will
be described. The baryonic process will be sketched in the next Section.
4.1. Nonlinear clustering evolution
The scaling law of the processed
CDM perturbations,
is such that
M at
galaxy-halo scales decreases slightly with mass (logarithmically)
and for larger scales, decreases as a power law (see
Fig. 6).
Because the perturbations of higher amplitudes collapse first, the
first structures to form in the
CDM scenario are
typically the smallest ones. Larger structures assemble from the smaller
ones in a process called hierarchical clustering or bottom-up
mass assembling. It is interesting to note that the concept of hierarchical
clustering was introduced several years before the CDM paradigm emerged.
Two seminal papers settled the basis for the current theory of galaxy
formation: Press & Schechter 1974
[98]
and White & Rees 1979
[131].
In the latter it was proposed that "the smaller-scale virialized [dark]
systems merge into an amorphous whole when they are incorporated in a
larger bound cluster. Residual gas in the resulting potential wells
cools and acquires sufficient concentration to self-gravitate, forming
luminous galaxies up to a limiting size".
The Press & Schechter (P-S) formalism was developed to calculate the
mass function (per unit of comoving volume) of halos at a given epoch,
n(M, z). The starting point is a Gaussian density
field filtered (smoothed)
at different scales corresponding to different masses, the mass variance
M
being the characterization of this filtering process. A collapsed halo
is identified when the evolving density contrast of the region of mass
M,
M(z),
attains a critical value,
c, given by the
spherical top-hat collapse model
11. This way, the
Gaussian probability distribution for
M is used to
calculate the mass distribution of
objects collapsed at the epoch z. The P-S formalism assumes
implicitly that the only objects to be counted as collapsed halos at a given
epoch are those with
M(z)
=
c. For a
mass variance decreasing
with mass, as is the case for CDM models, this implies a "hierarchical"
evolution of n(M, z): as z decreases, less
massive collapsed objects disappear in favor of more massive ones (see
Fig. 8).
The original P-S formalism had an error of 2 in the sense that integrating
n(M, z) half of the mass is lost. The authors
multiplied n(M, z) by 2,
argumenting that the objects duplicate their masses by accretion from the
sub-dense regions. The problem of the factor of 2 in the P-S analysis
was partially solved using an excursion set statistical approach
[17,
73].
To get an idea of the typical formation epochs of CDM halos, the spherical
collapse model can be used. According to this model, the density contrast
of given overdense region,
, grows with z
proportional to the growing factor, D(z), until it reaches
a critical
value,
c,
after which the perturbation is supposed to collapse and virialize
12.
at redshift zcol (for example see
[90]):
![]() |
(11) |
The convention is to fix all the quantities to their linearly extrapolated
values at the present epoch (indicated by the subscript "0") in such a way
that D(z = 0)
D0 = 1. Within this convention, for an Einstein-de Sitter
cosmology,
c,0
= 1.686, while for the
CDM cosmology,
c,0 = 1.686
M,00.0055, and the growing factor is
given by
![]() |
(12) |
where a good approximation for g(z) is [23]:
![]() |
(13) |
and where M
=
M,0(1
+ z)3 / E2(z),
=
/ E2(z), with E2(z)
=
+
M,0(1 +
z) 3. For the Einstein-de Sitter model,
D(z) = (1 + z). We need now to connect the top-hat
sphere results to a perturbation of mass M. The processed
perturbation field, fixed at the present epoch, is characterized
by the mass variance
M and we may
assume that
0 =
M, where
0 is
linearly extrapolated
to z = 0, and
is the peak
height. For average perturbations,
= 1, while for rare,
high-density perturbations, from which the first structures arose,
>> 1. By introducing
0
=
M into
eq. (11) one may infer zcol for
a given mass. Fig. 7 shows the typical
zcol
of 1
,
2
, and
3
halos. The collapse
of galaxy-sized 1
halos
occurs within a relatively small range
of redshifts. This is a direct consequence of the "flattening" suffered
by
M during
radiation-dominated era due to stangexpansion (see
Section 3.2). Therefore, in a
CDM Universe it is
not expected to observe a significant population of galaxies at z
5.
The problem of cosmological gravitational clustering is very complex due to non-linearity, lack of symmetry and large dynamical range. Analytical and semi-analytical approaches provide illuminating results but numerical N-body simulations are necessary to tackle all the aspects of this problem. In the last 20 years, the "industry" of numerical simulations had an impressive development. The first cosmological simulations in the middle 80s used a few 104 particles (e.g., [36]). The currently largest simulation (called the Millenium simulation [111]) uses ~ 1010 particles! A main effort is done to reach larger and larger dynamic ranges in order to simulate encompassing volumes large enough to contain representative populations of all kinds of halos (low mass and massive ones, in low- and high-density environments, high-peak rare halos), yet resolving the inner structure of individual halos.
Halo mass function
The CDM halo mass function (comoving number density of halos of
different masses at a given epoch z, n(M,
z)) obtained in the N-body simulations is consistent
with the P-S function in general, which is amazing given the approximate
character of the P-S analysis. However, in more detail, the results of large
N-body simulations are better fitted by modified P-S analytical functions,
as the one derived in
[103]
and showed in Fig. 8. Using the
Millennium simulation, the halo mass function has been accurately measured
in the range that is well sampled by this run
(z 12,
M
1.7 ×
1010 M
h-1). The mass function is described
by a power law at low masses and an exponential cut-off at larger masses.
The "cut-off", most typical mass, increases with time and is
related to the hierarchical evolution of the
1
halos shown in
Fig. 7. The halo mass function is the starting
point for modeling the luminosity function of galaxies. From
Fig. 8 we
see that the evolution of the abundances of massive halos is much more
pronounced than the evolution of less massive halos. This is why
observational studies of abundance of massive galaxies or cluster
of galaxies at high redshifts provide a sharp test to theories
of cosmic structure formation. The abundance of massive rare halos
at high redshifts are for example a strong function of the fluctuation
field primordial statistics (Gaussianity or non-Gaussianity).
![]() |
Figure 8. Evolution of the comoving number density of collapsed halos (P-S mass function) according to the ellipsoidal modification by [103]. Note that the "cut-off" mass grows with time. Most of the mass fraction in collapsed halos at a given epoch are contained in halos with masses around the "cut-off" mass. |
Subhalos. An important result of N-body simulations is the existence of subhalos, i.e. halos inside the virial radius of larger halos, which survived as self-bound entities the gravitational collapse of the higher level of the hierarchy. Of course, subhalos suffer strong mass loss due to tidal stripping, but this is probably not relevant for the luminous galaxies formed in the innermost regions of (sub)halos. This is why in the case of subhalos, the maximum circular velocity Vm (attained at radii much smaller than the virial radius) is used instead of the virial mass. The Vm distribution of subhalos inside cluster-sized and galaxy-sized halos is similar [83]. This distribution agrees with the distribution of galaxies seen in clusters, but for galaxy-sized halos the number of subhalos overwhelms by 1-2 orders of magnitude the observed number of satellite galaxies around galaxies like Milky Way and Andromeda [70, 83].
Fig. 9 (right side) shows the subhalo cumulative
Vm-distribution
for a CDM Milky Way-like halo compared to the
observed satellite Vm-distribution. In this Fig. are
also shown
the Vm-distributions obtained for the same Milky-Way halo
but using the power spectrum of three WDM models with particle masses
mX
0.6, 1, and 1.7 KeV. The smaller mX, the larger is the
free-streaming (filtering) scale, Rf, and the more
substructure is washed out (see Section 3.2).
In the left side of Fig. 9 is shown the DM
distribution
inside the Milky-Way halo simulated by using a CDM power spectrum (top)
and a WDM power spectrum with mX
1 KeV (sterile
neutrino, bottom).
For a student it should be exciting to see with her(his) own eyes
this tight connection between micro- and macro-cosmos: the mass of
the elemental particle determines the structure and substructure
properties of galaxy halos!
![]() |
Figure 9. Dark matter distribution in a sphere of 400 Mpch-1 of a simulated Galaxy-sized halo with CDM (a) and WDM (mX = 1 KeV, b). The substructure in the latter case is significantly erased. Right panel shows the cumulative maximum Vc distribution for both cases (open crosses and squares, respectively) as well as for an average of observations of satellite galaxies in our Galaxy and in Andromeda (dotted error bars). Adapted from [31]. |
Halo density profiles
High-resolution N-body simulations
[87]
and semi-analytical techniques (e.g.,
[3])
allowed to answer the following questions: How is the
inner mass distribution in CDM halos? Does this distribution depend
on mass? How universal is it? The two-parameter density profile
established in
[87]
(the Navarro-Frenk-White, NFW profile) departs
from a single power law, and it was proposed to be universal and not
depending on mass. In fact the slope
(r)
-d log
(r)
/ d logr of the NFW profile changes from -1 in the center to -3
in the periphery. The two parameters, a normalization factor,
s
and a shape factor, rs, were found to be related in a
such a way that the profile depends only on one shape parameter that
could be expressed as the concentration,
cNFW
rs / Rv. The more massive the halo,
the less concentrated on the average. For the
CDM model,
c
20-5 for
M ~ 2 × 108 - 2 × 1015
M
h-1, respectively
[42].
However, for a given M, the scatter of cNFW is
large (
30 - 40%),
and it is related to the halo formation history
[3,
21,
125]
(see below). A significant fraction of halos depart from the NFW profile.
These are typically not relaxed or disturbed by companions or external
tidal forces.
Is there a "cusp" crisis? More recently, it was found that the inner
density profile of halos can be steeper than
= -1 (e.g.
[84]).
However, it was shown that in the limit of resolution,
never
is as steep a -1.5
[88].
The inner structure of CDM halos can be tested in principle with
observations of (i) the inner rotation curves of DM dominated galaxies
(Irr dwarf and LSB galaxies; the inner velocity dispersion of dSph
galaxies is also being used as a test ), and (ii)
strong gravitational lensing and hot gas distribution in the inner
regions of clusters of galaxies. Observations suggest that the DM
distribution in dwarf and LSB galaxies has a roughly constant density
core, in contrast to the cuspy cores of CDM halos (the literature on
this subject is extensive; see for recent results
[37,
50,
107,
128]
and more references therein). If the observational studies confirm that
halos have constant-density cores, then either astrophysical mechanisms
able to expand the halo cores should work efficiently
or the
CDM
scenario should be modified. In the latter
case, one of the possibilities is to introduce weakly self-interacting
DM particles. For small cross sections, the interaction is effective
only in the more dense inner regions of galaxies, where heat inflow
may expand the core. However, the gravo-thermal catastrophe can also be
triggered. In
[32]
it was shown that in order to avoid the gravo-thermal instability
and to produce shallow cores with densities approximately constant
for all masses, as suggested by observations, the DM cross section per unit
of particle mass should be
DM /
mX = 0.5 - 1.0 v100-1
cm2 / gr, where v100 is the relative
velocity of the colliding particles in
unities of 100 km/s; v100 is close to the halo maximum
circular velocity, Vm.
The DM mass distribution was inferred from the rotation curves of dwarf and LSB galaxies under the assumptions of circular motion, halo spherical symmetry, the lack of asymmetrical drift, etc. In recent studies it was discussed that these assumptions work typically in the sense of lowering the observed inner rotation velocity [59, 100, 118]. For example, in [118] it is demonstrated that non-circular motions (due to a bar) combined with gas pressure support and projection effects systematically underestimate by up to 50% the rotation velocity of cold gas in the central 1 kpc region of their simulated dwarf galaxies, creating the illusion of a constant density core.
Mass-velocity relation. In a very simplistic analysis, it
is easy to find that M
Vc3 if the average halo density
h
does not depend on mass. On one hand, Vc
(GM /
R)1/2, and on the other hand,
h
M /
R3, so that Vc
M1/3
h1/6. Therefore, for
h
= const, M
Vc3.
We have seen in Section 3.2 that the CDM
perturbations at galaxy scales have similar amplitudes (actually
M
lnM) due to
the stangexpansion effect in the
radiation-dominated era. This implies that galaxy-sized perturbations
collapse within a small range of epochs attaining more or less similar
average densities. The CDM halos actually have a mass distribution that
translates into a circular velocity profile
Vc(r). The maximum of this profile,
Vm,
is typically the circular velocity that characterizes a given halo of virial
mass M. Numerical and semi-numerical results show that
(
CDM model):
![]() |
(14) |
Assuming that the disk infrared luminosity LIR
M, and that
the disk maximum rotation velocity Vrot,m
Vm,
one obtains that LIR
Vrot,m3.2, amazingly similar to the
observed infrared Tully-Fisher relation
[116],
one of the most robust and intriguingly correlations in the galaxy
world! I conclude that this relation is a clear imprint of the CDM
power spectrum of fluctuations.
Mass assembling histories
One of the key concepts of the hierarchical clustering scenario is
that cosmic structures form by a process of continuous mass aggregation,
opposite to the monolithic collapse scenario. The mass assembly of CDM
halos is characterized by the mass aggregation history (MAH), which can
alternate smooth mass accretion with violent major
mergers. The MAH can be calculated by using semi-analytical approaches
based on extensions of the P-S formalism. The main idea lies in
the estimate of the conditional probability that given
a collapsed region of mass M0 at z0,
a region of mass M1 embedded within the volume
containing M0, had collapsed at an
earlier epoch z1. This probability is calculated based
on the excursion set formalism starting from a Gaussian density field
characterized by an evolving mass variance
M
[17,
73].
By using the conditional probability and random trials at each temporal
step, the "backward" MAHs corresponding to a fixed mass
M0 (defined for instance at z = 0) can be
traced. The MAHs of isolated halos by definition
decrease toward the past, following different tracks
(Fig. 10),
sometimes with abrupt big jumps that can be identified as major mergers
in the halo assembly history.
![]() |
Figure 10. Upper panels (a). A score
of random halo MAHs for a present-day virial mass of 3.5 ×
1011
M |
To characterize typical behaviors of the halo MAHs, one may calculate
the average MAH for a given virial mass M0, for a
given "population" of halos selected by its environment, etc. In the
left panels of Fig. 10 are shown 20 individual
MAHs randomly selected from 104 trials for
M0 = 3.5 × 1011
M in a
CDM cosmology
[45].
In the bottom panel are plotted the average MAH from these
104 trials as
well as two extreme deviations from the average. The average MAHs
depend on mass: more massive halos have a more extended average MAH,
i.e. they aggregate a given fraction of M0 latter than
less massive
halos. It is a convention to define the typical halo formation redshift,
zf, when half of the current halo mass
M0 has been aggregated. For instance, for the
CDM cosmology the
average MAHs show that zf
2.2,
1.2 and 0.7 for M0 = 1010
M
, 1012
M
and
1014
M
, respectively.
A more physical definition of halo formation time is when the halo maximum
circular velocity Vm attains its maximum value. After
this epoch, the mass can continue growing, but the inner gravitational
potential of the system is already set.
Right panels of Fig. 10 show the present-day halo circular velocity profiles, Vc(r), corresponding to the MAHs plotted in the left panels. The average Vc(r) is well described by the NFW profile. There is a direct relation between the MAH and the halo structure as described by Vc(r) or the concentration parameter. The later the MAH, the more extended is Vc(r) and the less concentrated is the halo [3, 125]. Using high-resolution simulations some authors have shown that the halo MAH presents two regimes: an early phase of fast mass aggregation (mainly by major mergers) and a late phase of slow aggregation (mainly by smooth mass accretion) [133, 75]. The potential well of a present-day halo is set mainly at the end of the fast, major-merging driven, growth phase.
From the MAHs we may infer: (i) the mass aggregation rate evolution of
halos (halo mass aggregated per unit of time at different z's),
and (ii) the major merging rates of halos (number of major mergers per
unit of time per halo at different z's). These quantities should
be closely related to the star formation rates of the galaxies formed
within the halos as well as
to the merging of luminous galaxies and pair galaxy statistics. By using
the CDM model,
several studies showed that most of the mass of the
present-day halos has been aggregated by accretion rather than major
mergers (e.g.,
[85]).
Major merging was more frequent in the past
[55],
and it is important for understanding the formation of massive galaxy
spheroids and the
phenomena related to this process like QSOs, supermassive black hole
growth, obscured star formation bursts, etc. Both the mass aggregation rate
and major merging rate histories depend strongly on environment: the denser
the environment, the higher is the merging rate in the past. However,
in the dense environments (group and clusters) form typically structures
more massive than in the less dense regions (field and voids). Once a large
structure virializes, the smaller, galaxy-sized halos become subhalos
with high velocity dispersions: the mass growth of the subhalos is
truncated,
or even reversed due to tidal stripping, and the merging probability
strongly decreases. Halo assembling (and therefore, galaxy assembling)
definitively depends on environment. Overall, by integrating the MAHs
of the whole galaxy-sized
CDM halo
population in a given volume, the
general result is that the peak in halo assembling activity was at
z
1-2.
After these redshifts, the global mass aggregation rate strongly decreases
(e.g.,
[121].
To illustrate the driving role of DM processes in galaxy evolution, I mention briefly here two concrete examples:
1). Distributions of present-day
specific mass aggregation rate,
(
/ M)0, and halo lookback
formation time, T1/2.
For a
CDM model,
these distributions are bimodal, in particular the former. We have found
that roughly 40% of halos (masses larger than
1011
M
h-1) have (
/ M)0
0;
they are basically subhalos. The remaining 60% present a broad
distribution of (
/ M)0 > 0 peaked at
0.04 Gyr-1.
Moreover, this bimodality strongly changes with large-scale environment:
the denser is the environment the, higher is the fraction of halos
with (
/ M)0
0. It is interesting enough that similar fractions
and dependences on environment are found for the specific star formation
rates of galaxies in large statistical surveys
(Section 2.3); the situation
is similar when confronting the distributions of T1/2
and observed colors. Therefore, it seems that the the main driver of
the observed bimodalities in z = 0 specific star formation rate
and color of galaxies is the nature of the CDM halo mass aggregation
process. Astrophysical processes
of course are important but the main body of the bimodalities can be
explained just at the level of DM processes.
2. Major merging rates. The observational inference of galaxy major
merging rates is not an easy task. The two commonly used methods are
based on the statistics of galaxy pairs (pre-mergers) and in the
morphological distortions of ellipticals (post-mergers). The results
show that the merging rate increases as (1 + z)x, with
x ~ 0-4. The predicted major merging rates in the
CDM scenario agree
roughly with those inferred from statistics of galaxy pairs. From the
fraction of normal galaxies in close companions (with separations less than
50 kpch-1) inferred from observations
at z = 0 and z = 0.3
[91],
and assuming an average
merging time of ~ 1 Gyr for these separations, we estimate that
the major merging rate at the present epoch is ~ 0.01 Gyr-1 for
halos in the range of 0.1 - 2.0 × 1012
M
, while at
z = 0.3 the rate
increased to ~ 0.018 Gyr-1. These values are only slightly
lower than predictions for the
CDM model.
Angular momentum
The origin of the angular momentum (AM) is a key ingredient in theories of
galaxy formation. Two mechanisms of AM acquirement were proposed for the
CDM halos (e.g.,
[93,
22,
78]):
1. tidal torques of
the surrounding shear field when the
perturbation is still in the linear regime, and 2. transfer of orbital
AM to internal AM in major and minor mergers of collapsed halos. The angular
momentum of DM halos is parametrized in terms of the dimensionless
spin parameter
J
(E)1/2 / (GM5/2, where J is
the modulus of the total angular momentum and E is the total
(kinetic plus potential). It is easy to show that
can be interpreted as
the level of rotational support of a gravitational system,
=
/
sup,
where
is the angular
velocity of the system and
sup
is the angular velocity needed for the system to be rotationally supported
against gravity (see
[90]).
For disk and elliptical galaxies,
~ 0.4-0.8 and ~
0.01-0.05, respectively. Cosmological N-body
simulations showed that the CDM halo spin parameter is log-normal
distributed, with a median value
0.04 and a standard
deviation
0.5; this
distribution is almost independent from cosmology. A related quantity,
but more straightforward to compute is
'
J /
[(2)1/2 M Vv Rv]
[22],
where Rv is the virial radius and Vv the
circular velocity at this radius. Recent simulations show that
(
',
')
(0.035,0.6), though
some variations with environment and mass are measured
[5].
The evolution of the spin parameter depends on the AM acquirement
mechanism. In general, a significant systematical change of
with time is not expected, but relatively strong changes are measured in
short time steps, mainly after merging of halos, when
increases.
How is the internal AM distribution in CDM halos? Bullock et al.
[22]
found that in most of cases this distribution can be described by a simple
(universal) two-parameter function that departs significantly from the
solid-body rotation distribution. In addition, the spatial distribution of
AM in CDM halos tends to be cylindrical, being well aligned for 80% of
the halos,
and misaligned at different levels for the rest. The mass distribution
of the galaxies formed within CDM halos, under the assumption of specific
AM conservation, is established by
, the halo AM
distribution, and its alignment.
4.2. Non-baryonic dark matter candidates
The non-baryonic DM required in cosmology to explain observations and cosmic structure formation should be in form of elemental or scalar field particles or early formed quark nuggets. Modifications to fundamental physical theories (modified Newtonian Dynamics, extra-dimensions, etc.) are also plausible if DM is not discovered.
There are several docens of predicted elemental particles as DM candidates. The list is reduced if we focus only on well-motivated exotic particles from the point of view of particle physics theory alone (see for a recent review [53]). The most popular particles beyond the standard model are the supersymmetric (SUSY) particles in supersymmetric extensions of the Standard Model of particle physics. Supersymmetry is a new symmetry of space-time introduced in the process of unifying the fundamental forces of nature (including gravity). An excellent CDM candidate is the lightest stable SUSY particle under the requirement that superpartners are only produced or destroyed in pairs (called R-parity conservation). This particle called neutralino is weakly interacting and massive (WIMP). Other SUSY particles are the gravitino and the sneutrino; they are of WDM type. The predicted masses for neutralino range from ~ 30 to 5000 GeV. The cosmological density of neutralino (and of other thermal WIMPs) is naturally as required when their interaction cross section is of the order of a weak cross section. The latter gives the possibility to detect neutralinos in laboratory.
The possible discovery of WIMPs relies on two main techniques:
(i) Direct detections. The WIMP interactions with nuclei (elastic scattering) in ultra-low-background terrestrial targets may deposit a tiny amount of energy (< 50 keV) in the target material; this kinetic energy of the recoiling nucleus is converted partly into scintillation light or ionization energy and partly into thermal energy. Dozens of experiments worldwide -of cryogenic or scintillator type, placed in mines or underground laboratories, attempt to measure these energies. Predicted event rates for neutralinos range from 10-6 to 10 events per kilogram detector material and day. The nuclear recoil spectrum is featureless, but depends on the WIMP and target nucleus mass. To convincingly detect a WIMP signal, a specific signature from the galactic halo particles is important. The Earth's motion through the galaxy induces both a seasonal variation of the total event rate and a forward-backward asymmetry in a directional signal. The detection of structures in the dark velocity space, as those predicted to be produced by the Sagittarius stream, is also an specific signature from the Galactic halo; directional detectors are needed to measure this kind of signatures.
The DAMA collaboration reported a possible detection of WIMP particles
obeying the seasonal variation; the most probable value of the WIMP mass
was ~ 60 GeV. However, the interpretation of the detected signal as WIMP
particles is controversial. The sensitivity of current experiments
(e.g., CDMS and EDEL-WEISS) limit already
the WIMP-proton spin-independent cross sections to values
2 ×
10-42 - 10-40 cm-2 for the range
of masses ~ 50 - 104 GeV, respectively; for smaller masses, the
cross-section sensitivities are larger, and WIMP signals were not
detected. Future experiments will be able to test the regions in the
cross-section-WIMP mass diagram, where most of models make certain
predictions.
(ii) Indirect detections. We can search for WIMPS by looking for the
products of their annihilation. The flux of annihilation products is
proportional to the square of the WIMP density, thus regions of interest
are those where the WIMP concentration is relatively high. There are
three types of searches according to the place where WIMP annihilation
occur: (i) in the Sun or the Earth, which gives rise to a signal in
high-energy neutrinos; (ii) in the galactic halo, or in the halo
of external galaxies, which generates
-rays and
other cosmic rays such as positrons and antiprotons; (iii) around black
holes, specially around the black hole at the Galactic Center. The
predicted radiation fluxes depend on the particle physics model used to
predict the WIMP candidate and on astrophysical quantities such as the
dark matter halo structure, the presence of sub-structure, and the
galactic cosmic ray diffusion model.
Most of WIMPS were in thermal equilibrium in the early Universe (thermal
relics). Particles which were produced by a non-thermal mechanism and
that never had the chance of reaching thermal equilibrium are called
non-thermal relics (e.g., axions, solitons produced in phase
transitions, WIMPZILLAs produced
gravitationally at the end of inflation). From the side of WDM, the most
popular candidate are the ~ 1 KeV sterile neutrinos. A sterile neutrino
is a fermion that has no standard model interactions other than a
coupling to the standard neutrinos through their mass generation
mechanism. Cosmological probes, mainly the power spectrum of
Ly forest at high redshifts,
constrain the mass of the sterile neutrino to values larger than ~ 2 KeV.
11 The spherical top-hat model refers to the exact calculation of the collapse of a uniform spherical density perturbation in an otherwise uniform Universe; the dynamics of such a region is the same of a closed Universe. The solution of the equations of motion shows that the perturbation at the beginning expands as the background Universe (proportional to a), then it reaches a maximum expansion (size) in a time tmax, and since that moment the perturbation separates of the expanding background, collapsing in a time tcol = 2tmax. Back.
12 The mathematical solution gives that
the spherical perturbed region collapses into a point (a black hole)
after reaching its maximum expansion. However, real
perturbations are lumpy and the particle orbits are not perfectly radial.
In this situation, during the collapse the structure comes to a dynamical
equilibrium under the influence of large scale gravitational potential
gradients, a process named by the oxymoron "violent relaxation" (see e.g.
[14]);
this is a typical collective phenomenon. The end result is a system that
satisfies the virial theorem: for a self-gravitating system this means
that the internal kinetic energy is half the (negative) gravitational
potential energy. Gravity is supported by the velocity dispersion of
particles or lumps. The collapse factor is roughly 1/2, i.e. the typical
virial radius Rv of the collapsed structure is
0.5 the radius
of the perturbation at its maximum expansion.
Back.