1. Introduction
Most matter in the universe is in a “dark matter” form that has only been observed through its gravitational interaction. In the ΛCDM cosmology model it is assumed that dark matter is cold, i.e. is a gas of particles with negligible thermal velocity to affect galaxy formation. Cold dark matter is in agreement with large scale observations, but runs into several tensions at small scales, notably the galaxy core-cusp problem. Cold dark matter simulations obtain galaxy cusps, while observations often obtain cores. One alternative to cold dark matter is warm dark matter, either collisionless or collisional. The “warmness” of dark matter can be measured by studying the density runs of galaxy cores. These density runs can be measured with galaxy rotation curves, strong gravitational lensing, or by measuring stellar velocities. An alternative way to study warm dark matter is to observe the consequences of “free-streaming”: the motion of dark matter particles erases small scale density fluctuations suppressing the number densities of small galaxies. It turns out that these two approaches, cores and free-streaming, obtain results that are in disagreement with each other, and this disagreement is not currently understood.
In the present work we try to measure the “warmness” of dark matter studying the cores of nearly 3000 spiral galaxies with data in the Photometry and Rotation Curve Observations from Extragalactic Surveys (PROBES) catalog [1]. This data includes rotation curves obtained from long slit Hα spectra and HI (21 cm) velocity maps, combined with photometry of GALEX, DESI-LIS, and WISE images.
The following sections describe the theoretical framework, the data set, studies of this data, a discussion of how the thermal velocity is extracted from this data, a comparison with previous measurements, a comment on the discrepancy between measurements and limits, a comment on collisional vs collisionless dark matter, and conclusions.
2. The Theoretical framework
We measure the warm dark matter adiabatic invariant
(1)
with data of nearly 3000 spiral galaxies in the PROBES catalog [1]. We assume dark matter is a gas of particles of mass
. These particles are assumed to be collisionless, or have dark matter-dark matter elastic collisions, but otherwise only have gravitational interactions.
is the expansion parameter of the universe, normalized to
at the present time
.
is the root-mean-square of the non-relativistic warm dark matter particle thermal velocities, and
is the warm dark matter density, when the early universe is nearly homogeneous at
.
scales as
[2] and
is proportional to
, so the comoving thermal velocity
is an adiabatic invariant: it defines the “warmness” of dark matter.
We use the standard notation in cosmology as defined in [3], and the parameter values therein. For example,
is the present day mean dark matter density. We use the sub-indices
and
to denote the dark matter halo and “baryons” respectively (in cosmology, “baryons” generally refer to all non-relativistic matter, excluding dark matter and neutrinos).
Imagine an observer in a density peak in the early universe. This observer feels no gravity and “sees” dark matter expand and then contract into the core of a galaxy. If this expansion and contraction were adiabatic we could extract the adiabatic invariant
from two galaxy observables: the root-mean-square of the radial thermal velocity of the dark matter particles
and the galaxy core dark matter density
:
(2)
Note that if dark matter is an ideal noble gas, i.e. has elastic dark matter-dark matter collisions (that do not excite the particles), then the velocity distribution of the dark matter particles is the Maxwell distribution,
, and
with
remains constant in an adiabatic expansion, which is equivalent to
constant. Here
and
are temperature and volume. If dark matter is collisionless, there is a geometrical factor
to be presented below.
From studies of baryon and total (dark matter plus baryon) spiral galaxy rotation curves, we describe the galaxy as two self-gravitating gases, dark matter and baryons, separately in thermal equilibrium (the fits obtain different temperatures so we neglect dark matter-baryon interactions). The densities
and
are obtained by integrating numerically hydrostatic equations [4] [5].
The PROBES galaxies generally have
, so we will treat baryons as a correction, see Figure 1. In this case the solution to the hydrostatic equations is the cored isothermal sphere. Let us recall that a cored isothermal sphere is defined by two parameters: the central dark matter density
, and the root-mean-square of the radial thermal velocity
that is independent of the radial coordinate
. At large
the dark matter density is
(3)
The core radius is defined as
(4)
Let
be the velocity of rotation of a test particle. At
,
is independent of
(in the cored isothermal approximation). At a small
the derivative of the rotation velocity determines the core density:
(5)
where
(6)
is the correction factor shown in Figure 1.
is the total (dark matter plus baryon) mass within
(obtained from the rotation curves), and
is the corresponding stellar mass (obtained from multy-filter stellar mass synthesis models). We neglect the mass of gas and dust. For this correction, we choose
so 25% of the dynamical mass comes from within
.
To summarize, our studies will focus on two spiral galaxy observables:
and
. From these two observables we obtain
,
and
. The relation between
and
is
(a) (b)
Figure 1. Left: Distribution of galaxy stellar mass
and dynamical (total dark matter plus baryon) mass
within a radius
containing 25% of the dynamical mass. Right: Correction factor
. All data in this article is obtained from the PROBES catalog [1].
(7)
where
if dark matter is collisional, or
(8)
if dark matter is collisionless, i.e. has less than one collision per orbit.
is a geometrical factor derived in the Appendix, and is presented in Figure 2.
is the background density. We consider Equation (8) to be approximate because it does not take into account the detailed formation of the galaxy halo, and because the background density
depends on each galaxy and the redshift of observation, but, for this study, we simply take the extreme case
with
. Alternatively, for collisionless dark matter the paricle orbits are mostly radial so we may take
, see (2).
Consider a cored isothermal sphere. Its radius
, where it meets the background density, grows due to the expansion of the universe that reduces
. If dark matter is cold, the new particles falling into the cored isothermal sphere gravitational potential go through the center of the galaxy producing a cusp as observed in cold dark matter simulations. Often small galaxies are observed to have a core, not a cusp. This is the cold dark matter “core-cusp problem”. If dark matter is warm, then the angular momentum of the particles falling into the gravitational potential well has a Maxwell distribution, and the collisionless particles have a distance of closest approach to the center of the galaxy that has a Maxwell distribution that defines the core radius of the galaxy, and obtains the factor
mentioned above and derived in the Appendix. Note that
is of cosmological origin, i.e. it depends on
. Note that the core radius
, or core density
, distinguishes cold from warm dark matter. For cold dark matter,
and
.
![]()
Figure 2. Geometrical correction factor
for collisionless warm dark matter, for
with
.
In Equation (7) the equal sign applies if there is no dark matter relaxation or rotation. Rotation of the dark matter halo can only increase the observed
, see [4]. Also relaxation can only increase the observed
, else the phase space density (proportional to
) increases. We hope to extract
from the lower bounds of the histograms of
.
3. Data
The data is obtained from the PROBES catalog file https://zenodo.org/api/records/10456320/files-archive [1]. This file contains three coma-separated-values files main_table.csv, model_fits.csv and structural_parameters.csv. The file main_table.csv contains general information for 3163 galaxies. The file model_fits.csv contains the fit parameters to the galaxy rotation curves of 3161 spiral galaxies. To obtain the fit quality parameter AutoProf_flags and the distances to the galaxies we need to match galaxies in main_table.csv and model_fits.csv. This leaves 2899 galaxies. The corresponding histograms below are labeled “histf”. Two functional forms for
are fitted:
(9)
(10)
The file structural_parameters.csv contains detailed parameters of 1675 galaxies obtained from multi-band photometry and spectroscopy. The corresponding histograms below are labeled “histp”. The rotation curves are obtained from Hα long-slit spectra and aperture synthesis HI (21 cm) velocity maps. If both fit parameters and photometry data are desired, the corresponding match leaves 579 galaxies. The corresponding histograms below are labeled “histm”. These numbers are needed to understand the statistics of the histograms. The PROBES catalog includes data from multiple data sets [6]-[14].
4. Studies
A summary of results
and tests is presented in Figure 3. In the end we still need to extract the lower bound of these histograms to obtain a measurement of
with
, corresponding to collisional dark matter. The first two histograms of Figure 3 show results with full statistics for the tanh and C97 fits, respectively. These fits require a match of galaxies between the files main_table.csv and model_fits.csv, in order to be able to require the AutoProf_flags confirmation of a good fit, and to convert
of the fits from arcsec to kpc with the distance to each galaxy. For these first two histograms we take
since the information to calculate
is not yet available. The third histogram in Figure 3 is obtained after matching galaxies in all three files main_table.csv, model_fits.csv and structural_parameters.csv.
(a) (b)
(c) (d)
(e) (f)
Figure 3. Histograms of
for collisional dark matter.
. The histograms are described in the labels and in the main text.
As a cross-check, we present results without using the fits. In this case we take
and
, where Rp20 is the radius enclosing 20% of the stellar light. Also shown is the case for Rp30, and the case for Rp20 with additional quality cuts.
(a) (b)
(c) (d)
Figure 4. Distributions of
for collisional dark matter.
.
Distributions of
as a function of core radius
, the flat rotation velocity
, the core density
, and the absolute magnitude
, for the case
of collisional dark matter, are presented in Figure 4.
Corresponding histograms and distributions of
are presented in Figure 5 and Figure 6 with
of (8) for collisionless dark matter.
(a) (b)
(c) (d)
(e) (f)
Figure 5. Histograms of
for collisionless dark matter.
from (8). The histograms are described in the labels and in the main text.
(a) (b)
(c) (d)
Figure 6. Distributions of
for collisionless dark matter.
from (8). Note that, from the equations in Section 1,
is proportional to
up to a logarithmic term.
A careful comparison of collisional and collisionless histograms and distributions shows that the correction
increases their relative widths, indicating that the data have some preference for collisional dark matter.
To test whether the lower bounds of these distributions are of cosmological origin, we present in Figure 7 extreme cases of low and high absolute luminosity
, stellar mass
, and dynamical mass
. In Figure 8 we present the distributions for several galaxy morphologies. We observe no significant dependence on
,
,
, or morphology, suggesting that
is indeed of cosmological origin.
Two complementary graphs are presented in Figure 9 and Figure 10.
5. Discussion
We try to extract
, for the case
, from the distribution of the observed
in the first histogram of Figure 3. If there were no dark matter relaxation or dark matter halo rotation, then the distribution of
would have a width determined by observational uncertainties. Relaxation and rotation
(a) (b)
(c) (d)
(e) (f)
Figure 7. Histograms of
are shown for extreme low and high absolute luminosities
, stellar mass
and dynamical mass
(within the radius containing 80% of the dynamical mass).
(a) (b)
(c) (d)
(e) (f)
Figure 8. Histograms of
are shown for several galaxy morphologies.
Figure 9. The lower bound for
is illustrated in 2-dimensions. This graph shows the difficulty of defining the lower bound of
.
Figure 10. It is interesting to note that, on average, less than 20% of the star light comes from within the core radius
.
increase the observed
by varying amounts for each galaxy. The result is an asymmetrical distribution. Indeed, the distribution has a mean 1030 m/s, and left and right standard deviations 530 m/s and 690 m/s (at points where the histogram is reduced by a factor 1/e).
We are able to reproduce the observed distribution of
assuming a Gaussian with mean 700 m/s and standard deviation 275 m/s plus a shift to the right, due to relaxation and rotation, with an exponential distribution with mean 560 m/s, see top left histogram of Figure 11. Therefore for collisional dark matter we estimate
for
,(11)
where the uncertainty is estimated as
. To check that the width of the Gaussian distribution is reasonable, see Table 1. The corresponding estimate for collisionless dark matter is
for
from (8),(12)
see top right histogram of Figure 11. Equation (12) is approximate because (8) is approximate, and depends on the background density.
(a) (b)
(c) (d)
Figure 11. Top-left: Histogram of
for the tanh fit and collisional dark matter with
(as in the first histogram of Figure 3; black), Gaussian with mean 700 m/s and width 275 m/s (green), and same Gaussian plus an exponential distribution to the right, representing relaxation and rotation, with mean 560 m/s (red). Top-right: Same for collisionless dark matter with
from (8). The parameters are Gaussian 280 ± 150 m/s (green), plus exponential distribution to the right with mean 280 m/s (red). Bottom-left: Same for collisional dark matter with
after match. The parameters are Gaussian 800 ± 225 m/s (green), plus exponential distribution to the right with mean 520 m/s (red). Bottom-right: Same for collisionless dark matter with
from (8) after match. The parameters are Gaussian 320 ± 120 m/s (green), plus exponential distribution to the right with mean 240 m/s (red).
As a cross-check, we extract the results from the matched histograms that have a relative width smaller than the corresponding un-matched histograms. We obtain
Table 1. Comparison of galaxy parameters in the PROBES file structural_parameters.csv with parameters in [4] plus [5].
is calculated with
and with the correction
. The root-mean-square of the statistical uncertainties of
in [4] plus [5] is 137 m/s (from the next-to-last column). The root-mean-square difference of
between PROBES and [4] plus [5] is 281 m/s (from the last column).
|
|
PROBES |
|
|
[4] and [5] |
|
Difference |
Galaxy |
VRlast |
|
|
|
|
|
|
|
[km/s] |
[M⨀/pc3] |
[m/s] |
[km/s] |
[M⨀/pc3] |
[m/s] |
[m/s] |
NGC0100 |
86.6 |
0.071 |
802 |
86 |
0.0271 |
1120 ± 160 |
−318 |
NGC2366 |
51.2 |
0.030 |
632 |
50 |
0.0337 |
616 ± 44 |
16 |
NGC3972 |
133.5 |
0.071 |
1159 |
118 |
0.0708 |
1080 ± 120 |
79 |
NGC4183 |
110.4 |
0.052 |
1096 |
101 |
0.0522 |
1010 ± 80 |
86 |
NGC4559 |
119.4 |
0.033 |
1270 |
129 |
0.0259 |
1070 ± 50 |
200 |
NGC6503 |
111.3 |
0.317 |
615 |
119 |
0.1866 |
750 ± 90 |
−135 |
UGC01230 |
68.5 |
0.023 |
889 |
97 |
0.0418 |
1070 ± 130 |
−181 |
UGC01281 |
64.1 |
0.026 |
845 |
56 |
0.0233 |
770 ± 100 |
75 |
UGC04499 |
79.7 |
0.082 |
714 |
65 |
0.0291 |
780 ± 100 |
−66 |
UGC05005 |
206.2 |
0.026 |
2731 |
87 |
0.0076 |
1740 ± 250 |
991 |
UGC05750 |
77.8 |
0.005 |
1757 |
71 |
0.0065 |
1450 ± 270 |
307 |
UGC06399 |
88.2 |
0.038 |
1006 |
78 |
0.0346 |
910 ± 120 |
96 |
UGC06446 |
83.5 |
0.106 |
688 |
71 |
0.0811 |
610 ± 50 |
78 |
UGC06667 |
87.3 |
0.033 |
1042 |
76 |
0.0389 |
840 ± 70 |
202 |
UGC06917 |
103.7 |
0.039 |
1129 |
95 |
0.0354 |
1040 ± 150 |
89 |
UGC07125 |
67.4 |
0.010 |
1179 |
55 |
0.0083 |
1000 ± 130 |
179 |
UGC07608 |
41.2 |
0.009 |
740 |
61 |
0.0388 |
690 ± 170 |
50 |
UGC10310 |
47.4 |
0.049 |
482 |
61 |
0.0405 |
650 ± 130 |
−168 |
for
,(13)
for
from (8).(14)
A simpler procedure that we used in the past (with fewer numbers of galaxies) is to estimate the lower bound of the distributions of
.
The measurements (11) or (12) are in disagreement with limits summarized in Table 2. These limits would push the green Gaussians in Figure 11 to the left. In this case the measured distributions of
would be due dominantly to relaxation and rotation. To break the degeneracy, we need to complement the measurements (11) or (12) with independent measurements. We also need an understanding of the limits.
6. Comparison with Previous Measurements
Let us compare the
case with previous measurements. In [4] we fit the rotation curves of 11 dwarf galaxies with the result
Table 2. Tightest published lower limits on the “standard thermal relic” [15] warm dark matter mass
obtained from different observables (from Figure 3 of [16]; see citations therein). Also shown are corresponding limits on
,
and
, and an approximate redshift of the measurements. The actual dark matter particle mass is model dependent [17].
Observable |
|
|
|
|
Typical
|
|
[keV] |
|
[m/s] |
[Mpc−1] |
|
Milky Way satellites |
|
|
|
|
0 |
Strong lensing |
|
|
|
|
0 to 1 |
Lyman-α forest |
|
|
|
|
6 |
Galaxy UV luminosity |
|
|
|
|
6 to 8 |
ray burst |
|
|
|
|
4 to 8 |
(15)
The rotation curves where obtained by the “Local Irregulars That Trace Luminosity Extremes—The HI Nearby Galaxy Survey” (LITTLE THINGS) collaboration [18]. In [17] we fit the rotation curves of 36 co-added dwarf disk galaxies, obtained from [19], with the result
(16)
These measurements are in agreement with lower bounds of distributions of
with dwarf [4] and spiral [5] galaxy rotation curves, or density runs of elliptical galaxies [20]. Since the absolute luminosity of these galaxies span 4 orders of magnitude, and the baryon central densities span 6 orders of magnitude, we interpret these lower bounds to be of cosmological origin, i.e.
.
The warm dark matter comoving thermal velocity
causes a cut-off of the comoving cold dark matter linear density power spectrum by a factor of the form
due to free-streaming (assuming the dark matter particles have a Maxwell distribution of velocities). The comoving cut-off wavevector
is related to
by [21] [22]
(17)
This equation is approximately valid for collisionless or collisional dark matter [22].
is a time prior to the formation of first galaxies and the corresponding non-linear re-generation of perturbations. The independent measurements of
and
cross-check each other. Limits in the literature are often expressed as limits on the “standard thermal relic mass”
. The relation between
and
is often given by Equations (6) and (7) of [15].
From galaxy stellar mass and ultra-violet luminosity distributions in a wide redshift range we obtain [23]
(18)
The observed re-ionization of the universe requires a delayed galaxy formation compared to the ΛCDM scenario. This delay requires
keV [24], or
[25], or
keV [26], or
keV [26].
All of these measurements are in agreement with each other within
, but in disagreement with the limits summarized in Table 2. These disagreements may have been partially understood in [27].
7. A Comment on Warm Dark Matter Limits
The “warmness” of dark matter is defined by two related parameters: the comoving root-mean-square thermal velocity
, and the linear density power spectrum comoving cut-off wavevector
due to warm dark matter free-streaming. Studies of galaxy cores obtain measurements of
. Studies of dwarf galaxy number densities or stellar masses obtain limits on
. The relation (17) between
and
seems reliable [21] [22]. Both measurements and limits have issues. In this section we briefly present issues with the limits.
The limits on
are often expressed in terms of a lower limit to the “standard therml relic mass” defined by equations (6) and (7) in [15], see Table 2. To obtain reliable limits at least the following four issues need to be fully understood and included in the analysis:
1) Most limits are based on observations at low redshift when non-linear regeneration of the power spectrum is large or even dominant [28]-[31].
2) During galaxy formation and hierarchical evolution, small galaxies loose mass to larger galaxies, so “stripped down” galaxies need to be included in the analysis [27] [32].
3) Consider a linear density perturbation on the mass scale . Choose
so dark matter free-streaming can be neglected. The Press-Schechter formalism assumes that the observed galaxies have a peak linear relative over-density filtered on the scale
equal to the critical value 1.686 (corresponding to spherical collapse in the linear approximation, that has already broken down). If the peak is less than 1.686 the halo on this mass scale has not yet collapsed. If the peak is greater than 1.686 then the halo collapsed earlier and belongs to a larger mass
. This assumption is an approximation: it does not apply to lower density regions. Density perturbations of comoving radius
have a distribution of relative overdensities
(assumed Gaussian in the Press-Schechter formalism), so that galaxy halos with a given
are formed with a distribution of times that extend to the present and future, and distributions of flat orbital velocities and stellar masses that extend to zero in less dense regions of the universe. In conclusion, observations of dwarf galaxy stellar masses or number densities can not place a limit on
unless the time of formation of the galaxy halos is well known and included in the analysis. In other words, the initial linear perturbation is described by three parameters, i.e.
,
and the initial background density
, while the observations are often based on a single parameter, so there is no one-to-one relation between these observations and
or
. The relation between multiple observations and
is complex.
4) Observed galaxies are biased to regions of high background density. Accounting for this bias weakens the limits based on dwarf galaxy counts in overdense regions (because of the reduced expansion of overdense regions that form the sheets, filaments and nodes where most galaxies reside).
8. A Comment on Collisional Dark Matter
Consider a dark matter particle falling into a cored isothermal sphere from
to
. Let
be the dark matter-dark matter collision cross-section, which we take to be independent of the center of mass energy for non-relativistic dark matter [33]. The cross-section per unit mass corresponding to one collision on average is
(19)
The same result is obtained for traversing the radius
of the core with 1 collision on average. For
kpc and
km/s we obtain
cm2/g. The current limit is <0.47 cm2/g [3]. In conclusion, it seems that as far as the size of the galaxy halo is concerned, we may consider dark matter to be collisionless. This argument favors the collisionless solution (12) over the collisional solution (11). On the other hand, a detailed comparison of Figure 3 and Figure 4 with Figure 5 and Figure 6 favors the collisional solution.
9. Conclusion
We have measured the dark matter “warmness”, i.e. the adiabatic invariant
, with nearly 3000 spiral galaxy rotation curves in the PROBES catalog, assuming collisional or collisionless dark matter [1]. Within statistical fluctuations, the results are independent of the absolute luminosity, stellar mass, dynamical mass and galaxy morphology, suggesting that the measured
is of cosmological origin. The main uncertainty of the measurements is due to the unknown contribution from relaxation and rotation. To lift this degeneracy it is necessary to complement the present measurement with as many independent measurements as possible. Indeed, we find agreements within
with previous measurements. There is, however, a discrepancy between the measurements and limits summarized in Table 2 that is not currently understood.
Acknowledgements
The data in this study was obtained from the PROBES catalog [1]. I thank all authors of [1], and in particular Connor Stone for his help along the way. This catalog has inputs from data sets [6]-[14], which in turn have inputs from many astronomers, so a large community of researchers has made this study possible. I thank Karsten Müller for his early interest in this work and for many useful discussions.
Appendix
Core radius
Consider a cored isothermal sphere with core density
and core radius
in a background of density
. The halo meets the background density at
. As the universe expands, the background density decreases and
increases. The new particles being captured by the growing halo have a transverse root-mean-square velocity component
. We assume collisionless dark matter.
Conservation of angular momentum tells us that these particles pass the center ofthe halo at a root-mean-square distance
.
Identifying
with
, we obtain
(20)
with
(21)
Note that, if the core is dominated by warm dark matter and there is no relaxation or halo rotation,
is of cosmological origin.