1. Introduction
The Λ cold dark matter (ΛCDM) cosmological model, based on just 6 parameters [1], is in spectacular agreement with precision measurements of the cosmic microwave background anysotropies, the power spectrum of large scale density fluctuations, and baryon acoustic oscillations. The ΛCDM model may have tensions with observations on scales smaller than the Galaxy, e.g. too few satellites of the Milky Way and Andromeda, and galaxies with cores instead of the cusps expected from simulations. An extension of the ΛCDM cosmology that addresses the small scale tensions is Λ warm dark matter (ΛWDM) that assumes that the dark matter has a non-negligible velocity dispersion. Since the non-relativistic velocity dispersion
scales as
, we may write, for the homogeneous matter dominated universe,
(1)
where
is the density of dark matter at expansion parameter
(normalized to
at the present time), and
is the mean density of dark matter at the present time (we use the standard notation in cosmology, and astrophysical constants, as in [1] ).
Let
be the comoving power spectrum of linear relative density perturbations in the ΛCDM model after decoupling [2].
is the comoving wavenumber. The corresponding power spectrum in the ΛWDM cosmology is
, where
is a cut-off factor due to warm dark matter free-streaming. The cut-off factor, at time
when matter begins to dominate, has the approximate form (see figure 5 of [3] )
(2)
Note that we have defined the free-streaming cut-off wavenumber
so that
. We will assume that non-relativistic dark matter carries the non-relativistic Maxwell-Boltzmann momentum distribution (see Section 3 below). Given the adiabatic invariant
, the comoving free-streaming cut-off wavenumber at
is [3]
(3)
is the comoving Jeans wavenumber at matter-radiation equality. This solution corresponds to adiabatic, i.e. thermal, initial fluctuations. After
,
decreases allowing non-linear regeneration of small scale structure. An alternative
, obtained from simulations, is given in [4].
In summary, the ΛWDM extension of the ΛCDM model adds one parameter: the velocity dispersion
. Note that a typical dark matter particle becomes non-relativistic at expansion parameter
. The challenge is to measure, or set limits on,
and
. Measurements of
need to be done at high redshift
since non-linear evolution of perturbations regenerate the small scale power spectrum [5] [6] [7].
The warm dark matter extension of the ΛCDM model is not only the addition of a parameter: it is a change of our understanding of the formation of structure [5], galaxy halos [8], first stars, and reionization.
In the present article we briefly review measurements of
. These measurements are ruled out by numerous limits. The purpose of this study is to try to understand what went wrong. It turns out that the measurements of the velocity dispersion
, and of
, coincide with the predictions of the no freeze-in and no freeze-out warm dark matter scenario. We also update this scenario.
2. Measurements of
Fits to relaxed spiral galaxy rotation curves allow a measurement of the radial component of the velocity dispersions
and
, and the density runs
and
, of dark matter and baryons, respectively [9]. The velocity dispersion of dark matter is found to be independent of the radial coordinate
(out to the radius where the rotation curve remains flat), implying, in particular, that dark matter particles have the non-relativistic Maxwell-Boltzmann momentum distribution (within observational uncertainties) [8] [9]. We define the adiabatic invariant in the core of the galaxy as
(4)
is the velocity dispersion of dark matter particles that would be obtained by adiabatic expansion from the core of the galaxy to the mean dark matter density of the universe
. The adiabatic invariant
is predicted to be of cosmological origin, and hence to be equal in all relaxed galaxies [8]. In other words, the velocity dispersion of dark matter in the core of the galaxy with density
should be equal to the velocity dispersion of dark matter in the early universe when its density was
, since the early universe and the galactic core are connected by adiabatic expansion, turn-around, and adiabatic contraction [8], (see text related to figure 13 of [8] for details). Measurements indicate that “phase space dilution” in relaxed galaxies is not dominant. Therefore we identify
in Equation (4) with
in Equation (1). If this identification is correct, then the observed spiral galaxy rotation curves allows a measurement of the temperature-to-mass ratio of dark matter particles
, and also of the free-streaming cut-off wavenumber
.
Measurements of the adiabatic invariant of 10 relaxed spiral galaxies in the THINGS sample [10] obtains the following mean:
km/s (this uncertainty includes the contribution of the dark matter halo rotation parameter
km/s) [9].
The measurement of the adiabatic invariant of 40 different galaxies in the SPARC sample [11] obtains the following mean and standard deviation:
km/s [12]. This result does not depend significantly on the galaxy luminosity over three orders of magnitude, velocity dispersion, gas mass, Vaucouleurs class, disk central surface brightness, or core dark matter density [12]. Estimating
[9] [13], and including the study of known systematic uncertainties in [13], we obtain
(5)
at 68% confidence.
In summary, the prediction that
is of cosmological origin, and hence equal in the core of all relaxed galaxies, is validated within the cited uncertainty. However, the corresponding free-streaming cut-off wavevector
(from Equation (3)) has been excluded by many studies that obtain lower bounds typically in the range 8 Mpc−1 to 38 Mpc−1, corresponding to thermal relic masses
greater than 1 to 4 keV respectively (with a thermal relic defined by Equations (6) and (7) of [4] ). One purpose of the present study is to try to understand what may have gone wrong.
3. The No Freeze-In and No Freeze-Out Scenario
The measured adiabatic invariant
happens to be in agreement with the following detailed scenario. Dark matter is in thermal and diffusive equilibrium with the Standard Model sector in the early universe, and decouples (from the Standard Model sector and from self-annihilation) while still ultra-relativistic. Elastic dark matter-dark matter interactions are allowed. Thus we assume that dark matter particles decouple with an ultra-relativistic thermal equilibrium (URTE) momentum distribution, either Fermi-Dirac or Bose-Einstein, with zero chemical potential
. Due to the expansion of the universe, dark matter particles become non-relativistic. We assume that the URTE momentum distribution relaxes to the corresponding non-relativistic distribution (NRTE) due to elastic dark matter-dark matter scattering. This latter assumption is needed because only the NRTE is consistent with the flat portion of spiral galaxy rotation curves [8] [9]. Even the quantum repulsion (attraction) between identical fermions (bosons), with a mutual potential
(6)
is sufficient to acquire the NRTE in a very short time scale relative to the age of the universe, assuming quasi-degenerate dark matter [14]. For simplicity, we consider a single dark matter species.
Let
be the temperature ratio of dark matter and photons after decoupling of neutrinos, and after
annihilation, and before dark matter becomes non-relativistic. This ratio is
(7)
where
at decoupling of dark matter from the Standard Model sector [1].
(
) is the number of fermion (boson) spin polarizations. As an example, if dark matter couples to the Higgs boson, then it decouples from the Standard Model sector as the temperature drops below
and the Higgs bosons decay. Then
[1] [15]. We will assume that warm dark matter decouples from the Standard Model sector at a temperature between
and
, where
is the temperature of the confinement-deconfinement transition between quarks and hadrons (decoupling at a lower temperature compromizes the agreement with Big Bang Nucleosynthesis). Then
. The ratio of number densities of dark matter particles and photons, after
annihilation until the present time, is
(8)
where
for the dark matter [14]. Then, at the present time,
(9)
determines the dark matter particle mass corresponding to no freeze-in and no freeze-out.
The expansion of dark matter, and the transition from the URTE momentum distribution to the NRTE momentum distribution, is assumed to occur with constant number of particles, i.e. the particle number density scales as
, and (arguably) with constant entropy, see [14] for full details. For example, the number density of dark matter particles is calculated as follows:
(10)
where the particle energy is
, and
for dark matter fermions, or
for dark matter bosons. Similar equations obtain
, the pressure
, the root-mean-square velocity
, and the dimensionless entropy per particle
[14]. We note that these equations are valid for the entire range of
, from non-relativistic
to ultra-relativistic
. This scenario implies that dark matter has a dimensionless entropy per particle:
for fermions, and
for bosons, and that non-relativistic dark matter acquires a negative chemical potential
[14]. For
eV (108 eV),
(−1.618) for non-relativistic fermions, and
(−1.243) for non-relativistic bosons. For fermions, from equation (26) of [14], we obtain
(11)
(12)
where
is the dark matter-to-photon temperature ratio after
annihilation, and before dark matter becomes non-relativistic. Equation (12) is obtained from (11), (7) and (9). For bosons, from Equation (28) of [14], we obtain
(13)
(14)
Note that the measurement of the adiabatic invariant
allows a determination of the dark matter particle mass
, and of the ratio
(that determines the dark matter decoupling temperature, if sufficiently precise).
Table 1 presents a summary of measurements and predictions. The agreement is noteworthy since it depends on the measured values of
,
,
Table 1. Summary of measurements of the adiabatic invariant
with spiral galaxy rotation curves [12], the free-streaming cut-off wavenumber
with galaxy stellar mass distributions at
and 8 [13], and predictions from the no freeze-in and no freeze-out scenario.
. After
annihilation, while dark matter is ultra-relativistic,
, corresponding to decoupling at
.
*For spin 1 dark matter the predictions are model dependent [15].
and
. The (arguably) simplest extensions of the Standard Model for the present scenario, that include scalar, vector or spinor warm dark matter particles, are presented in [15].
Comments: Equations (11) to (14) update Equations (15) to (18) of [13] to the present scenario. Reference [13] assumes non-interacting dark matter (except for gravity), does not consider the URTE to NRTE transition, and assumes zero chemical potential for non-relativistic dark matter. Table 1 updates table 4 of [13]. Note that in Table 1 we no longer distinguish fermion from boson dark matter because they become indistinguishable (with the current level of precision) due to their negative non-relativistic chemical potential in the present scenario.
4. A New Paradigm
Table 1 has a big problem. Numerous studies have excluded a dark matter thermal relic mass
eV. The lower bounds are typically in the range 1 to 4 keV. These studies may well be correct, in which case we need to understand why the approximately 60 studied relaxed spiral galaxies have the same adiabatic invariant
(within statistical and systematic uncertainties), and why the measured
,
,
, and
happen to agree with the no freeze-in and no freeze-out scenario.
The ΛWDM model adds one parameter to ΛCDM, namely the velocity dispersion
. This addition implies a change in paradigm, i.e. a change in the way we understand cosmology. Dark matter no longer has an infinite phase-space density, and hence simulations need to include the velocity dispersion
[14], in addition to the small scale power suppression factor
due to free-streaming. Galaxies may form adiabatically without requiring relaxation or virialization [8]. The galaxy “virialized” mass (usually measured in simulations up to a radius
corresponding to
) is an ill-defined concept as the halo radius keeps growing with a velocity
, and the halo mass keeps increasing linearly with time [8]. The well defined mass of a galaxy is the linear mass of the Press-Schechter formalism, since the dimensions of the perturbation grow in proportion to the expansion parameter
, while the density scales as
, so the linear mass
is independent of
. All relaxed galaxies have (approximately?) the same measured adiabatic invariant
in the core. The warmest dark matter consistent with reionization has (arguably)
km/s (if the Gaussian window function turns out to be a good approximation, see Section 5). The first galaxies to form have a stellar mass of order
. Larger galaxies form hierarchically as in the ΛCDM model [16] [17], and smaller galaxies are “stripped-down” during their formation as they loose matter to neighboring galaxies [6]. This may be the main mechanism of the non-linear regeneration of the small scale structure.
In the ΛCDM scenario the first dark matter halos to collapse have arbitrarily small
, and are devoid of a full complement of baryons due to the baryon pressure [2]. The first galaxies in the ΛCDM scenario to have a full complement of baryons, and to produce first stars, have a stellar mass
of order
and form at
. Galaxy evolution proceeds hierarchically. When galaxies with
form (at
) then the evolution of ΛCDM meets the evolution of ΛWDM, and both scenarios reach half reionization at approximately the same redshift
, and thereafter are difficult to tell apart due to the non-linear regeneration of small scale structure.
5. Comments on the Press-Schechter Galaxy Mass Distribution
The derivation of the Press-Schechter galaxy mass distribution [18], and its Sheth-Tormen ellipsoidal collapse extensions [19] [20], are valid for the hierarchical structure formation of the ΛCDM model, and for redshift
before saturation sets in. The derivation of the Press-Schechter relation is based on the variance of the linear relative density perturbation on the linear mass scale
at redshift z [2]:
(15)
is a correction due to the accelerated expansion of the universe:
for
respectively.
is a window function.
is the proper power spectrum at redshift z.
For the ΛCDM model, with
, the usual choice of window function is a 3-dimensional top-hat sphere of radius
in coordinate space:
for
, and 0 for
. Note that
is normalized so that its integral over 3-dimensional space is 1. The mass of the perturbation is
(16)
The Fourier transform of
is
(17)
is ill-behaved: it is oscillatory and does not converge, and is not suited for warm dark matter with a cut-off factor
.
For warm dark matter, the usual choice of window function, is a sharp cut-off of
at
, i.e.
for
,
for
[21] [22]. The appropriate linear mass scale is
(18)
where
is calibrated with simulations at
[21]. The Fourier transform of
is
(19)
is ill-behaved: it is oscillatory and does not converge, and has an ill defined volume in r-space.
Another window function that is considered [13] [23] is the Gaussian:
(20)
with
(21)
Note that
. The Gaussian window functions
and
are well behaved. In [13] and [23] we choose the Gaussian window function because it obtains excellent agreement with stellar mass distributions at
and 3, and so the Press-Schechter formalism with Gaussian window function, and Gaussian
as in (2), is a good description of the data. Whether, or not, it is also a good description of warm dark matter is another question.
A comparison of the distributions with Gaussian and sharp-
window functions is presented in Figure 1. With the Gaussian window function excellent agreement with the data is obtained, and
is measured:
Mpc−1 [13], see Table 1. Using the sharp-
cut-off in several publications results in limits on
, typically
Mpc−1.
The cut-off factor
given by (2) and (3) is valid at
. Free-streaming continues after
, but is complicated by gravity and by non-linear regeneration of small scale structure by the time of the formation of first galaxies. During their formation, proto-galaxies may loose matter to neighboring galaxies, or break up, and populate the low mass tail [6] [24]. By
there remains little memory of
at
, see figure 2 of [5]. This regeneration has been described by Equations (13) and (14) of [25], and adds a long tail to
.
Figure 1. Press-Schechter and Sheth-Tormen ellipsoidal collapse predictions of galaxy stellar mass functions are shown (see [23] for details), with Gaussian (top) and sharp-k (bottom) window functions. To match prediction to data at the high mass end we have set
for the Gaussian window function, and
for the sharp-k window function. The top figure is taken from [13] where references to the data are given.
In summary, the discrepancy between the limits and the measurements of
can be traced to the different
and window functions used. Additional simulations and studies are needed to settle this issue.
6. Simulations
The Press-Schechter formalism with Gaussian window function, describes the observed stellar mass distributions at
, and even 3 [13]. But does it describe warm dark matter? To investigate this question, we generate galaxies with a simple generator described in [16] and [17]. Briefly, we apply periodic boundary conditions in a cube of comoving side
Mpc at a given expansion parameter
, i.e. we do not step galaxy evolution in time. We calculate the density
in the linear approximation by summing Fourier terms (with random phases) for comoving wavevectors with
, where I is an integer. We search for maximums of
. If the maximum exceeds
and the proto-galaxy “fits”, we generate a galaxy i with proper radius
, (
is
in the linear approximation), and total linear mass
(which is different from the often used “virialized” mass). A galaxy “fits” if it does not overlap previously generated galaxies. The integer I is then increased by 1 and galaxies of a smaller generation are formed. Note that a galaxy that did not fit at generation I may fit at a “generation” with larger I, and hence be created with a reduced mass. These are “stripped down” galaxies that have lost matter to neighboring galaxies in the course of their formation [6]. This is a simplified way to regenerate small scale structure in the warm dark matter scenario.
To compare the simulations with data it is necessary to make the transition from the “linear” halo mass
to the stellar mass
. Here we approximate the transformation as a fixed factor, which is adjusted so that data and simulation agree at the high stellar mass end (this factor is very sensitive to the power spectrum normalization
). The results for
, and 6 are presented in Figure 2, upper panels. The simulations shown are ΛCDM, ΛWDM with
, and the same plus a “tail”:
(22)
The bottom left panel of Figure 2 shows the cut-off factors
of (2) and (22), as well as the “linear” cut-off factor (6) and (7) of [4], and the “non-linear” regenerated cut-off factor of (13) and (14) of [25].
An alternative way to estimate the stellar mass is to obtain the galaxy dark matter particle 1-dimensional dispersion velocity as
(23)
where the factor ≈1.2 is calibrated from simulations described in [8], and
is the proper Jeans length. The stellar luminosity in the R band is then obtained from the Tully-Fisher relation [26]
(24)
Finally, to obtain the stellar mass
we assume
. The comparison is shown in Figure 2 bottom right panel.
We conclude that the data are in agreement with the Press-Schechter prediction with the Gaussian window function [13], and are also in agreement with
Figure 2. Upper panels: stellar mass distributions, from simulations and data, at
and 6. The simulations correspond to ΛCDM, ΛWDM with Gaussian
with
, and the same plus a “tail”, see equation (22). For references to the original data points see [13]. Bottom left: warm dark matter cut-off factor
with the Gaussian function (2) with
, the Gaussian+tail of Equation (22), the “linear”
from [4], and the “non-linear” regenerated
from [25] with
keV and
. The Gaussian and “linear” curves overlap in this figure. Bottom right: comparison of distributions of halo mass
and stellar luminosity
of the simulation with
.
simulations of ΛWDM if the Gaussian
develops a “tail”. This tail need not be of primordial origin: it may be due to limitations of current galaxy generators. Let us mention that the simulations in [21] and [24] are warm dark matter only, they do not include baryons, and baryons act as a cold “tail”. The needed extra tail is much smaller than the tail that current generators already obtain [5] [25]. The simulations in [24] include proto-galaxies, and go a long way between simulations in [21] (similar to the Press-Schechter prediction with a sharp-
window function) and data. In any case, the “tail” needs to be in place by
in order to obtain timely reionization even for
, see figure 4 of [27]. To settle this issue, future simulations are needed that have enough resolution to describe the formation of “stripped down” galaxies, and that bridge the gap between the halo mass
and the observable galaxy stellar luminosity
.
7. Comments on the Lyman-α Forest
Reionization is beautifully illustrated in [28]. During the dark ages the universe baryonic matter is mostly neutral hydrogen and neutral helium. At about
, first quasars begin ionizing and heating the gas in bubbles expanding away from the quasar. As a result, peaks in the dark matter density correspond to minimums of the neutral hydrogen density. The bubbles overlap at about
.
Light from quasars is observed to have a “forest” of absorption lines due to Lyman
transitions (at
Å) of intervening clouds of neutral hydrogen [29]. In principle, each line obtains the redshift z of the cloud, the column density of neutral hydrogen
(typically 1013 to 1014 cm−2), the thickness of the cloud along the line-of-sight (tens to hundreds of kpc), and (partially degenerate) its temperature (typically 104 to 3 × 104 K). Simulations of the inter-galactic medium at
show that the (mostly ionized) baryon density tracks the dark matter density down to the Jeans length where baryon pressure dominates gravity, with a fraction of neutral atomic hydrogen (HI) of order 10−5 that depends on temperature T, and on the ionization rate
due to ultra-violet photons.
The inter-galactic dark matter resembles a honey-comb of voids, surrounded by sheets, that meet at filaments, that meet at spheroidal nodes. Most of the Galaxies form in nodes and filaments.
“For a characteristic hydrogen number density of 55 m−3, corresponding to 5 times the mean baryon density at
, and a characteristic temperature of 2 × 104 K, the pressure is 106 K·m−3, and the baryon Jeans length is 320 kpc” [29]. In comparison, the warm dark matter Jeans length, at
with
km/s, corresponding to thermal
eV, is
kpc. Filament thicknesses are of order 100 kpc [29].
Let us comment on figure 3 of [30] that presents the Lyman-α relative flux 1-dimensional power spectrum
for
in the range 0.0005 to 0.02 s/km. We consider
, so the measured range of
is 0.05 to 1.75 Mpc−1 (the conversion factor is
). The relation between the 1-dimensional and 3-dimensional flux power spectrum is [29]
(25)
where
. Note that this integral must reach well past the maximum observed
to avoid a drop in
. We select a “bias factor”
such that
obtains the measured
, where
is the ΛCDM dark matter comoving linear power spectrum [2]. Agreement is obtained with
independent of
, so flux fluctuations
appear to track the dark matter density fluctuations, at least in low density regions of the universe, i.e. away from nodes. Multiplying
by the linear cut-off factor
obtained from [4] rules out
keV if non-linear regeneration of small scale structure is neglected, which is not justified [5]. If instead of the linear cut-off factor
from [4], we take the non-linear regenerated cut-off factor of [25], then we find that
keV is allowed!
Now consider figure 11 of [25] that presents the Lyman-α 1-dimensional power spectrum
for
in the range 0.0013 to 0.08 s/km, see Figure 3. We consider
, so the range of
is 0.12 to 7.6 Mpc−1. In this case, for ΛCDM, we obtain a bias factor
independent of
that obtains the measured
for
s/km. For
s/km, the measured
drops below the values obtained from
. As an exercise, let us assume that this drop is due to warm dark matter free-streaming. Again we take the linear cut-off factor
from [4]. Then we obtain
(stat) keV, and
, with
for 8 degrees of freedom, if we neglect non-linear regeneration of small scale structure. In this case
keV is excluded with
for 9 degrees of freedom, see Figure 3. If instead of the linear cut-off factor
from [4], we take the non-linear regenerated cut-off factor of [25], we obtain the measurement
(stat) keV, and
, with
for 8 degrees of freedom. Fixing
keV obtains
and
for 9 degrees of freedom (with statistical uncertainties only), so
keV is not ruled out! For the ΛCDM model we obtain
and
for 9 degrees of freedom. See Figure 3. The results of this section are in line with pioneering studies in [5].
Question: Why does
in [25] or [30] decrease with decreasing
, while the proper dark matter density power spectrum has the opposite behaviour?
Figure 3. Left: Measured Lyman-α forest power spectrum at
from figure 11 of [25], compared with ΛCDM, and with ΛWDM with
keV, and linear [4] or non-linear [25] cut-off factors
. Right: 1-standard deviation contour in the (
, b) plane assuming the non-linear cut-off factor
[25], see text.
8. Conclusions
A detailed no freeze-in and no freeze-out warm dark matter scenario has emerged from fits to approximately 60 relaxed spiral galaxy rotation curves, and from measurements of galaxy stellar mass distributions. The resulting thermal relic dark matter mass is of order
eV, depending on the spin and decoupling temperature of the dark matter particles, see Table 1. Numerous studies have ruled out such a low thermal relic mass
. These studies may well be correct, in which case we need to understand why the measured dispersion velocity
is approximately the same for all studied relaxed galaxies, why the measured
(stat) km/s and
each happen to coincide with the no freeze-in and no freeze-out scenario, why the free-streaming mass
(from (21) with
) is of Galactic mass, and hence addresses the missing satellite issue, and why
happens to be the warmest dark matter that may be consistent with reionization.
It is significant that the Particle Data Group quotes lower limits to the dark matter particle mass of 70 eV for fermions, and 10−22 eV for bosons [1]. It is also interesting to note that the onset of degeneracy spoils the fits to spiral galaxy rotation curves, obtaining lower limits of 48 eV for fermions, see figure 5 of [13], and 45 eV for bosons [9]. We find that different treatments of the non-linear regeneration of small scale structure, within current uncertainties, may change a measurement of
into a limit, and vice verse, see Figures 1-3. The core of galaxies is (arguably) evidence that dark matter is warm [8]. New studies, with data and simulations, are needed to better understand the warm dark matter tail. These simulations need to have sufficient resolution to reliably generate “stripped down” galaxies, and need to include the baryon physics to obtain the observable stellar luminosity
, as well as first stars to understand reionization.