1. Introduction
If dark matter is warm instead of cold, the power spectrum of density fluctuations becomes cut-off at short wavelengths due to dark matter particle free-streaming, first generation galaxies acquire a finite mass
, the number of galaxies per unit volume and mass range decreases at the low mass end, galaxy halos acquire a finite core density
(if no central black hole) with finite radius
, the number density of isolated dwarf galaxies in the Local Field becomes reduced, reionization becomes delayed and the optical depth increases, the formation of low mass galaxies becomes delayed, and the number of satellite galaxies becomes reduced. Each of these effects offers an opportunity to measure the dark matter warmness.
Recently it has become possible to obtain the dark matter density
of dwarf spheroidal galaxies dSph by measuring the line-of-sight velocity of individual stars. This dark matter dominates the density
of the dSph galaxies. Fitting
of 27 dwarf spheroidal galaxies [1] we arrive at the following tentative conclusions: i) dark matter is warm, ii) some dwarf spheroidal galaxies are first generation galaxies in the warm dark matter scenario, iii) rotating dwarf irregular galaxies dIrr and spiral galaxies have dark matter halos that are rotating strongly, and iv) the dark matter halo rotation of some dSph is negligible. With this new perspective, in the present article we update four published estimates of the dark matter warmness. Each of these estimates depends on assumptions and has its own delicate issues. It is the broad agreement of the four largely independent estimates that gives weight to the conclusion that dark matter is warm. The results of this study may also be applied to other extensions of the standard cold dark matter cosmology ΛCDM that have a power spectrum with a cut-off wavevector
[2].
2. Definitions
The mass of a galaxy is often defined as the mass within a radius
corresponding to a mean galaxy matter density
.
is the present day mean matter density of the universe. We assume that warm dark matter is a noble (i.e. not excitable), non-degenerate, non-relativistic, gas of particles of mass
that are collisional or collisionless. It is in this scenario that we interpret the dSph data. The “warmness” of this gas may be specified by any of the equivalent parameters
,
,
,
or
.
is the comoving root-mean-square of the thermal velocity of the dark matter particles defined as
(1)
is the expansion parameter normalized to
at the present time
.
is the root-mean-square of the thermal velocity of the dark matter particles when the nearly homogeneous universe has expansion parameter
.
is proportional to
, so
is an adiabatic invariant. Due to the velocity dispersion
, dark matter particles move into, or out of, density minimums, or maximums, thereby attenuating short wavelength density perturbations. As a result of this dark matter free-streaming, the comoving density fluctuation power spectrum of the ΛCDM cosmology becomes multiplied by a cut-off factor
, where
is the comoving wavevector [3]. We assume that the dark matter particles have a Maxwell distribution of velocities (for a justification of the negative chemical potential of the non-relativistic warm dark matter, see [4]). In this case
has the form
[5]. This is our definition of
. (Other definitions in the literature are
or 1/2.) The relation between
and
is given by Equation (38) of [5]. Instead of specifying
, it is customary in the literature to give the “standard thermal relic mass”
(of spin 1/2) defined by Equations (6) and (7) of [6]. Note however, that the dark matter particle mass is model-dependent. For boson dark matter with
(assumed to have zero chemical potential while ultra-relativistic) the mass
is given by Equation (20) of [1] (see also Equation (26) of [7]). Finally, the expansion parameter
at which dark matter becomes non-relativistic, is defined as
. For convenience, the relation between these parameters is presented in Table 1.
Table 1. The warmness of dark matter can be specified by any of the equivalent parameters
,
,
,
or
defined in Section 2. Their relations are presented in this Table.
|
|
|
|
|
[m/s] |
[Mpc−1] |
[keV] |
[keV] |
[] |
25 |
27.81 |
4.29 |
1.39 |
|
50 |
13.90 |
2.30 |
0.83 |
|
75 |
9.27 |
1.60 |
0.61 |
|
100 |
6.95 |
1.23 |
0.49 |
|
150 |
4.63 |
0.85 |
0.36 |
|
200 |
3.48 |
0.66 |
0.29 |
|
300 |
2.32 |
0.46 |
0.22 |
|
500 |
1.39 |
0.29 |
0.15 |
|
700 |
0.99 |
0.21 |
0.11 |
|
3.
from Dwarf Spheroidal Galaxies
Recently it has become possible to derive the dark matter density
of dwarf spheroidal galaxies dSph from the observed line-of-sight velocities of individul stars. In [1] we fit the solution of hydrostatic equations to the density runs
of 27 dSph. The fits minimize a
by varying three parameters: the density
of the first measured point (at
kpc), the variable
, and the mass
of a possible central black hole.
is the fraction of gravity supported by dark matter halo rotation. We neglect
for some dSph (to be discussed below). The definition of
is
(2)
is the root-mean-square of the radial component of the velocities of the dark matter particles, assumed to be independent of
(see, for example, [8]). The warm dark matter adiabatic invariant
is obtained from
as follows:
(3)
if dark matter is collisional. For collisionless dark matter, see discussion below.
if the first generation galaxies formed without relaxation, or
if there is relaxation. If the dSph has a black hole, then
becomes dependent on the first measurement at
so a correction
needs to be applied [1].
Equations (2) and (3) may be understood as follows. Consider collisional warm dark matter, and an observer in a density peak in the early universe. This observer feels no gravity, “sees” warm dark matter expand and then contract to form the core of a galaxy (as shown by hydrodynamical equations [9]). If the contraction is adiabatic, Equations (2) and (3) follow.
Figure 1. Measured dark matter density
of dwarf spheroidal galaxies (data from [13]-[17]). The continuous lines are solutions of hydrostatic equations [1] fitted with fixed
.
A comment on collisional vs collisionless dark matter. As and example take a core density
, core radius
kpc (see Figure 1 and Figure 2), and, tentatively, a dark matter-dark matter collision cross-section per unit mass
cm2/g (see Table 1 and Figure 13 of [10], and
[11]). For this example,
km/s, and the mean number of collisions of a particle with this velocity and permanently in the core (unrealistic) in the age of the Universe is of order 0.3. So dark matter may be significantly collisional if
cm2/g, while
cm2/g seems to be ruled out (see studies in [11]).
Figure 2. Measured dark matter density
of dwarf spheroidal galaxies (data from the link https://github.com/koreshk/Estimation-of-phase-space-density-in-dwarf-galaxies on 30 January 2026 given in [17]). The continuous lines are solutions of hydrostatic equations [1] fitted with fixed
.
Consider the case of collisionless warm dark matter. In this case
, where
, and the background density is
(see Appendix of [12]). For example, for galaxies observed at
,
, respectively. For our present estimate, we will take, as a bench-mark,
.
To avoid the uncertainty of
due to the black hole, here we will study a subset of the 27 dwarf spheroidal galaxies that have a black hole mass that is not significantly different from zero, i.e. we require that the
of the fit increase by less than 3 units when
is fixed to zero. We also require that the galaxy have
(to favor first generation galaxies). This selection leaves 11 dSph. Fitting these 11 dSph with
fixed to zero, obtains the results in Figure 1 and Figure 2, and summarized in Table 2.
Table 2. For dwarf spheroidal galaxies dSph with black hole mass
consistent with zero (see text), and
, we present the stellar mass
and neutral hydrogen mass
(from the LVDB catalog [18]), and
and
(from the fit with fixed
). Some entries are not available.
Dwarf |
|
|
|
[kpc] |
|
|
|
|
to
|
|
[m/s] |
Leo I |
6.96 |
|
9.9 |
62.4 |
116 ± 10 |
Andromeda VI |
6.75 |
|
9.9 |
64.1 |
208 ± 37 |
Andromeda XXIII |
6.14 |
|
9.0 |
32.2 |
154 ± 24 |
Andromeda XXI |
5.81 |
|
8.7 |
26.1 |
169 ± 24 |
Andromeda XXV |
5.87 |
|
7.9 |
13.3 |
78 ± 21 |
Aquarius |
6.42 |
6.54 |
9.9 |
66.8 |
211 ± 31 |
CVn I |
|
|
9.8 |
56.8 |
262 ± 45 |
Cetus |
6.71 |
|
9.2 |
35.9 |
101 ± 23 |
Coma |
|
|
9.4 |
41.7 |
91 ± 20 |
Hercules |
4.56 |
|
8.5 |
21.2 |
62 ± 23 |
Sgr dIG |
|
|
9.6 |
49.2 |
219 ± 47 |
Let us now discuss dwarf spheroidal galaxy rotation. For baryons, the fraction of gravity supported by stellar rotation with velocity
is
. The measured value of
for Draco, Sextans, Umi, Fornax and Sculptor, assuming
, is
, see last column of Table 3 of [21]. See also [22], and Table 1 of [1]. For dark matter we expect
, so neglecting
for our sample of 11 dSph may be justified. The upper panel of Figure 3 presents measured distributions of
for the dSph (red), dwarf irregular dIrr (green) and spiral galaxies (blue). The three distributions in the top panel of Figure 3 become approximately overlaid if
for dSph,
for dIrr, and
for spiral galaxies. So our interpretation is that the dark matter halos of dIrr and spiral galaxies are rotating strongly.
![]()
Figure 3. Top: Measurements of
.
is defined in (2). The distributions correspond to the 11 dwarf spheroidal galaxies dSph from Table 2 (red), rotating irregular dwarfs dIrr from Figure 2 and Table 2 of [19] (green), and spiral galaxies from Figure 4 and Table A3 of [20] (blue). Bottom: Distribution of the mass
of the 11 dwarf spheroidal galaxies (from Table 2).
The distribution of the 11 measured
in Table 2 with equal weights, has a mean 152 m/s and a standard deviation 64 m/s. This standard deviation is due to residual rotation, and experimental uncertainties. We seek the lower bound of the distribution of
presented in Figure 3, to be able to set
. We estimate
(4)
For comparison, the estimate in [1] is
. Note that we no longer have the correction
due to a central black hole, nor the correction
due to relaxation.
From Figure 1 and Figure 2 we observe a tendency of
to increase at
kpc. If this effect is significant, it may be due to a central black hole, and/or baryons, and/or non-isotropic velocities of collisionless dark matter. If dark matter velocities are not isotropic then there is a tendency of
to increase at
kpc. To investigate this possibility we define
(5)
Now the spherically symmetric non-rotating hydrostatic equations become
(6)
Fits to the data for Leo I, for three values of
(assumed, for simplicity, to be independent of
), are presented in Figure 4. This test shows that the dark matter particle velocities are approximately isotropic, so we should take
. Note that dark matter may be collisional.
Figure 4. Three fits to the observed
of Leo I [13] are shown. The fits correspond, from top to bottom, to
with
, respectively, for 11 degrees of freedom.
is fixed. This figure tests the degree of anisotropy of dark matter particle velocities.
4. kfs from the Mass of First Generation Galaxies
Distributions of galaxy mass exhibit a minimum mass
. For redshift
the minimum observed
is ≈10.9, 8.7, 8.7, 8.7, 8.7, 8.7 respectively [23]. So first generation galaxies appear to have a mass
or
. This minimum
is confirmed by Table 2 and Figure 3, so it appears that some dwarf spheroidal galaxies are first generation galaxes in the warm dark matter scenario.
We wish to obtain
from
. Simulations in [24] obtain
for
keV, corresponding to
Mpc-1, respectively. For
we estimate
Mpc−1, and
keV.
As another estimate we use Equation (8) of [25] to calculate the Jeans Mass
given
, and then estimate
(that is not critical, see Figure 2 of [25]). For
we obtain
keV or
Mpc−1. (For
we obtain
keV or
Mpc−1. For
we obtain
keV, or
Mpc−1).
So, from the mass
of first generation galaxies in the warm dark matter scenario, we estimate
(7)
The agreement with other determinations of
reinforce the conclusion that some dSph may be first generation galaxies in the warm dark matter scenario.
5. kfs from the Galaxy Mass Distributions
The observed stellar mass
distributions as well as Press-Schechter predictions, and ellipsoidal collapse extensions, of the halo mass
distributions are presented in [23]. The predictions are calculated with a Gaussian window function. The relation between
and
is assumed to be
, independently of
. Here we wish to obtain a quantitative estimate of
from these distributions.
First we anchor the predictions to the Millenium simulations corresponding to the cold dark matter cosmology ΛCDM at
. From Figure 2 of [26] we obtain, at redshift
and
,
, corresponding to
dex−1∙Mpc−3. Correcting this number from
to
obtains
dex−1∙Mpc−3. The Millenium simulation assumes
. We correct to
multiplying the power spectrum by (0.811/0.90)2. The result is
dex−1∙Mpc−3, see small red star in Figure 5.
Secondly, we consider an improved relation between
and
which now becomes dependent on
. For the star formation efficiency
we use Equation (11) of [27] with
measured to be in the range 0.5 to 1.0, see Figure 4 of [27]. So at
we obtain
in the range 0.128 to 0.255. So
is in the range
to
. Also
is in the range 1.7 to 1.4 (instead of 1.5 in Figure 1 of [23]). So we neglect this correction.
Finally, we switch from the Gaussian window function to the top-hat window function in r-space. We obtain Figure 5, calibrated at
to the ΛCDM Millenium simulation, i.e.
dex−1∙Mpc−3, and estimate
(8)
Compare in detail with [23].
Figure 5. Comparison of predicted and observed distributions of
at redshift
. Stellar mass data are from the Hubble Space Telescope [28] (black squares), from the continuity equation [29] (red triangles), and from the James Webb Space Telescope [30] (green triangles). The predictions are the ellipsoidal collapse extension of the Press-Schechter formalism (Equation (5) of [31] with the top-hat window function in r-space) normalized to ΛCDM at
(small red star) as explained in the text.
6. kfs from the Number Density of Isolated Dwarf Galaxies in the Local Field
In [32] we obtain
from the number density of isolated dwarf galaxies in the Local Field, i.e. within 3 Mpc of the Milky Way, excluding the Milky Way and Andromeda galaxies and satellites. We obtain
before applying a large correction due to the non-linear regeneration of the density fluctuation power spectrum at large wave vector
. This regeneration occurs during the hierarchical formation of galaxies. I now realize that this non-linear regeneration correction should be applied to the universe at large, but not to first generation isolated dwarf galaxies in the Local Field that has a density approximately equal to the mean density of the universe. Consider and overdense region. This overdense region expands slower than a region with the mean density, and hence the comoving wavelength of density fluctuations in the overdense region decreases. This is a cause of the regeneration of the power spectrum at short wavelength or large wave vector. So, for first generation isolated dwarf galaxies in the Local Field, the non-linear regeneration correction should not be applied (only an uncertainty due to the uncertain density of the Local Field needs to be included). Omitting the non-linear regeneration correction in [32] obtains
(9)
7. Cross-Checks
As a cross-check with data, consider Figure 1, Figure 3 and Figure 7 of [33] for the pseudo-isothermal sphere
. The dark matter temperature-to-mass ratio is
K/eV at the “edge” of the halo, i.e. at
defined such that
. This value of
is also valid in the center of halos with the least mass, i.e.
that are not rotating significantly (see Figure 1, Figure 3 and Figure 7 of [33]). Note that for the pseudo-isothermal sphere,
is approximately independent of
(see Figure 6 of [33]). The corresponding
is 5300 m/s for the lightest dwarfs with
, with non-rotating dark matter halo, and with core density
(see Figure 1 and Figure 2 above). Then the dark matter comoving thermal velocity is
m/s. This cross-check with data validates, within a factor ≈2, the measurement method of
presented in Section 3 for non-rotating first generation galaxies in the warm dark matter scenario.
Cross-check with simulations: The central dark matter densities of the dSph in Figure 1 and Figure 2 range from
to
, or
to
. From Figure 2 of [34] we obtain
keV. From Figure 1 and Figure 2 the core radius is
(within a factor ≈2). From Figure 8 of [34] we obtain
.
In [32] we obtain
from the number density of isolated dwarf galaxies in the Local Field. We repeat that analysis at redshift
that corresponds approximately to the redshift of half-reionization. We vary
to obtain the observed number density of galaxies at
. The result is
Mpc−1. One simulation is presented in Figure 6. Corrections need to be studied. Never-the-less,
can not be very different from ≈7 Mpc−1.
Figure 6. Warm dark matter density
, at redshift
with
Mpc−1, and coordinate sg_zz = 3.3 Mpc, obtained from the comoving power spectrum of density fluctuations
. The contours of relative overdensity are
(red), 1.0 (green), and 1.686 (blue) corresponding to collapsed galaxy halos. For details, see [32].
8. Conclusions
We tentatively conclude that some dwarf spheroidal galaxies have negligible dark matter halo rotation, while rotating irregular dwarf and spiral galaxies have dark matter halos that rotate strongly (so rotation may be mainly due to the hierarchical formation of galaxies). We tentatively conclude that some dwarf spheroidal galaxies may indeed be first generation galaxies in the warm dark matter scenario. A summary of the four estimates discussed in this article is presented in Table 3. These estimates are in disagreement with published limits based on the number of Milky Way satellites, the Lyman-α flux power spectrum, and strong gravitational lensing, summarized in Figure 3 of [35]. Each of these estimates and limits has its own delicate issues, so more studies, measurements and cross-checks are needed to understand the disagreements. Comments on the number of Milky Way satellites, and on the Lyman-α flux power spectrum, are presented in Appendix A and Appendix B. Never-the-less, the broad agreement of these four largely independent estimates is evidence in favor of warm dark matter (or other extensions of ΛCDM with a power spectrum with a cut-off wavevector
). These estimates allow an extrapolation of the dark matter temperature to the past [1] [7]. The suggestion is that the warm dark matter particles couple to a high-energy extension of the Standard Model of quarks and leptons [1].
Table 3. Summary of four estimates of
or
.
(see Figure 4). These estimates imply
, see Table 1.
[Mpc−1] |
[m/s] |
Comments |
|
|
From 11 dSph density runs
, see (4). |
|
|
From the mass
of first generation galaxies. |
|
|
From distributions of
, see [23] and text. |
|
|
From nmber density in LF, see [32] and text. |
Appendix
A. Comment on the Number of Milky Way Satellites
The Milky Way has 67 observed satellites, and counting [18]. Let us take a nominal Milky Way mass
. The Local Field has 55 observed dwarf galaxies, and counting, in a volume 56.5 Mpc3 [18] [32]. We take a nominal density of the Local Field
[32], corresponding to a Local Field mass
. If the number of satellites were proportional to mass, we would estimate
satellites for the Milky Way. We need to correct this estimate due to the excess average background density of Milky Way satellites compared to Local Field dwarfs. This correction factor can be estimated with simulations as in [32]. In conclusion, the number of Milky Way satellites appears to be consistent, within a factor ≈2, with the observed number of dwarf galaxes in the Local Field, which in turn is consistent with Table 3.
B. Comment on the Lyman-α Forest
As shown in Figure 7 of [36], the observed Lyman-α flux power spectrum has a cut-off starting at
or
Mpc−1. This cut-off is attributed to the temperature of the inter-galactic gas. However, this cut-off is degenerate with the warm dark matter free-streaming cut-off at wavevector
, so setting limits at
Mpc−1 with Lyman-α data is difficult [37]. If the cut-off is due to warm dark matter free-streaming, instead of the inter-galactic gas temperature, we obtain, from Figure 7 of [36],
Mpc−1, in agreement with Table 3.