1. Introduction
This is our motivation. Collisionless non-relativistic dark matter can only expand adiabatically conserving
, where
is the root-mean-square (rms) of the dark matter particle velocities, and
is the density of dark matter. It turns out that we are able to measure
in the core of spiral galaxies by fitting their rotation curves. In the early universe, when density perturbations are relatively small,
of non-relativistic dark matter can be written in the form
(1)
and
, where
is the expansion parameter. Note that the expansion is adiabatic. Consider a free observer in a density peak. The dark matter in this peak expands, reaches maximum expansion, and then contracts forming a galaxy, conserving
. Let
be the root-mean-square of the radial component of the dark matter particle velocities, and let
be the dark matter density in the core of the galaxy. Adiabatic expansion then implies that [1] [2]
(2)
Note that
is, by definition, the rms velocity of dark matter particles when dark matter with density
in the core of the galaxy is expanded adiabatically until it acquires the present mean dark matter density of the universe
[3] . We predict that the “adiabatic invariant”
is the same for all relaxed, steady state, galaxies. The purpose of the present analysis is to test this prediction. Note that measuring
obtains the ratio of dark matter temperature
to mass
in the early universe.
In this article, we present a study of the adiabatic invariant
of galaxies in the “Spitzer Photometry and Accurate Rotation Curves” (SPARC) sample [4] .
2. Spiral Galaxy Data
We analyze the publicly available data of the SPARC galaxy sample [4] . This sample contains 175 galaxies with new surface photometry at 3.6 μm, and extended rotation curves of atomic hydrogen (HI) from the literature (see individual references in [4] ). Approximately one third of the galaxies also have Hα rotation curves. The SPARC sample includes a very broad range of luminosities, surface brightnesses, rotation velocities, and Hubble types.
In the present analysis, we study the 99 galaxies with high-quality rotation curves, i.e. galaxies with quality flag Q = 1. We further visually examine the galaxy rotation curves, in order to guarantee sufficient data points in the flat part (to constrain
), and sufficient data points in the galaxy core (to constrain
). We are interested in galaxies with a relaxed structure in a steady-state, and so, by visual inspection, remove galaxies with rotation curves with extraneous features that may indicate recent mergers, strong warps, or galaxies with multi-spin components.
The rotation velocity
is by definition the velocity of a test particle in a circular orbit of radius r in the plane of the galaxy.
has contributions from baryons (stars in the disk and bulge, and gas), and the halo of dark matter [4] :
(3)
(4)
and
are stellar contributions to the rotation velocity inferred from the 3.6 μm photometry assuming a stellar mass-to-light ratio
. The mass-to-light ratios of stars in the disk and bulge in units of
are taken to be
and
respectively [4] . Estimates of
range from 0.5 to 0.2, see the discussion in Reference [4] .
3. Fits to Spiral Galaxy Rotation Curves
Examples of spiral galaxy rotation curves are presented in Figures 1-3. The flat rotation velocity
at large r determines
. The slopes of
and
at small r determine
Figure 1. Top figure: Observed rotation curve
(dots) and the baryon contribution
(triangles) of galaxy DDO161. The dot-dash line is from Equation (3). The solid lines are obtained by numerical integration as explained in the text. The fitted parameters are given in Table A1 and Table A3. Bottom figure: Mass densities of baryons and dark matter obtained by the numerical integration. The fit obtains
.
Figure 2. Top figure: Observed rotation curve
(dots) and the baryon contribution
(triangles) of galaxy UGCA442. The dot-dash line is from Equation (3). The solid lines are obtained by numerical integration as explained in the text. The fitted parameters are given in Table A1 and Table A3. Bottom figure: Mass densities of baryons and dark matter obtained by the numerical integration. The fit obtains
.
.
is a correction to account for possible dark matter rotation.
To take full advantage of the measured rotation curves, we integrate differential equations describing two self-gravitating non-relativistic gases: baryons and dark matter, see Reference [1] for details. These differential equations require four boundary conditions:
, and
for dark matter, and two similar parameters for baryons, where
is the radial coordinate of the first measured point. The four boundary conditions are fitted to minimize
Figure 3. Top figure: Observed rotation curve
(dots) and the baryon contribution
(triangles) of galaxy UGC11914. The dot-dash line is from Equation (3). The solid lines are obtained by numerical integration as explained in the text. The fitted parameters are given in Table A1 and Table A3. Bottom figure: Mass densities of baryons and dark matter obtained by the numerical integration. These fits have
fixed.
a
between the measured rotation curves
and
, and the corresponding calculated rotation curves. The calculated rotation curves are presented in Figures 1-3 with continuous lines. Note that good fits are obtained with
and
taken to be independent of r. A core correction
is obtained by extrapolation.
In Reference [1] we estimate
and
.
is model dependent and uncertain. In the present analysis, we will not consider dark matter rotation, i.e. we set
. To correct for dark matter rotation, all
in this article need to be multiplied by
.
The
of the fits requires the assignment of uncertainties to
and
. The uncertainties of the
measurements are given by the SPARC data. We generally assign
to cover point-to-point fluctuations (this may vary in some galaxies), plus a term
in the
to allow for coherent fluctuations of
. The fit is accepted only if the fitted
lies in the range from 0.2 to 0.5. We set
to some large value, e.g. 500 eV, to avoid the onset of Fermi-Dirac or Bose-Einstein degeneracy [1] . Fits for 40 galaxies passing our default selections are presented in Table A1 and Table A3 in the Appendix. The distribution of the adiabatic invariant
for these 40 galaxies is presented in Figure 4. The distribution of
has a mean 0.87 km/s and a standard deviation of 0.27 km/s.
Additionally we perform fits with fixed
and
. Finally, we perform a fit for fermions with
degrees of freedom,
corresponding to chemical potential
[2] , free
, and
, to test the onset of Fermi-Dirac degeneracy. The distributions of the adiabatic invariant
for these additional fits are presented in Figures 5-7 respectively.
For comparison, in Figure 8 we present the distribution of the adiabatic invariant
of galaxies of the THINGS sample [5] . These
are taken from Table 2 of Reference [2] divided by
to refer the result to the case of no dark matter rotation, i.e.
, for direct comparison with the distributions of SPARC galaxies in Figures 4-7. Note that the method to normalize
for the SPARC and THINGS galaxy samples are different [4] [5] (see also discussion in Reference [1] ). In Figure 4, 37 out of 40 SPARC galaxies have
. In Figure 5, 39 out of 44 SPARC galaxies have
. In Figure 8, no THINGS galaxy has
.
Note that fluctuations of the measured
are expected from irregularities of the rotation curves (for example, see Figures 1-3), as well as due to dark matter rotation, and statistical uncertainties.
Figure 4. Distribution of the adiabatic invariant
corresponding to the fit with
free and large
. See Table A1 and Table A3 for details. Each entry has weight
.
Figure 5. Distribution of the adiabatic invariant
corresponding to the fit with
fixed and large
. See Table A3 for details. Each entry has weight
.
Figure 6. Distribution of the adiabatic invariant
corresponding to the fit with
fixed and large
. See Table A3 for details. Each entry has weight
.
Figure 7. Distribution of the adiabatic invariant
corresponding to the fit with
free,
,
, and fermions with
degrees of freedom. This
corresponds to chemical potential
[2] , to see the effect of the onset of Fermi-Dirac degeneracy. See Table A3 for details. Each entry has weight
.
Figure 8. Distribution of the adiabatic invariant
of galaxies in the THINGS sample for the case of no dark matter rotation
[2] . These galaxies are not contained in Table A1. Each entry has weight
.
4. Discussion of Results
The galaxies listed in Table A1 have absolute luminosities, central densities, and central surface brightnesses that span three orders of magnitude, and baryonic angular momenta that span five orders of magnitude. The small relative standard deviation of
is therefore noteworthy. The adiabatic invariant
does not depend significantly on the properties of the galaxies as shown in Table 1. These observations suggest a cosmological origin of
.
5. Cosmological Implications of the Adiabatic Invariant
We consider the case of dark matter that decouples from the Standard Model sector and from self-annihilation while density perturbations are still linear. We neglect interactions of non-relativistic dark matter particles, except for gravity, or elastic dark matter-dark matter collisions. A non-relativistic gas of non-interacting particles can only expand or contract adiabatically conserving
. When dark matter particles are non-relativistic, and density perturbations are still linear, the rms velocity of dark matter particles in the expanding universe has the form
(5)
with
given by Equation (2). In conclusion, if dark matter decouples while density perturbations are still linear, then the adiabatic invariant
given by Equation (2) should be the same for all relaxed, steady-state galaxies, independently of their history of hierarchical formation and mergers (except for a correction due to dark matter rotation).
Consider a galaxy with
. From the adiabatic invariant, the dark matter density in the core of this galaxy is approximately 8 × 107 times the mean dark matter density of the universe. What stopped the dark matter collapse
Table 1. Mean and standard deviation of
for several galaxy selections. The default galaxy fit with free
and large
is used. N is the number of galaxies in the selection.
is the absolute luminosity at 3.6 μm.
is the mass of atomic hydrogen gas (HI). “SBdisk” is the Disk Central Surface Brightness at 3.6 μm. The galaxy classes are 5 = Sc, 6 = Scd, 7 = Sd, 9 = Sm, 10 = Im.
from reaching infinite density? Why a core and not a cusp? We consider three alternatives:
1) The collapse is ongoing. Then the distribution of
would be very wide contrary to observation.
2) If
is of cosmological origin, i.e. if
is the same for all relaxed, steady-state galaxies, then a galaxy with a given
, has a well defined dark matter density in the core
given by Equation (2).
3) Fermi-Dirac degeneracy of fermion dark matter may halt the collapse.
Note that
in Equation (5) obtains the ratio of dark matter temperature
to mass
in the early universe. To obtain the mass
and temperature
separately, one more relation is needed, for example, the chemical potential
of dark matter [1] [2] . We find that the particular value
is very special: it obtains a detailed, precise and consistent picture of dark matter [1] [2] . This particular value
is close to case 3, and both cases 2 [1] [2] and 3 [6] obtain similar dark matter masses
.
6. Conclusions
We have obtained the adiabatic invariant
of 40 galaxies in the SPARC sample. The distribution of
has a mean 0.87 km/s and a standard deviation of 0.27 km/s for relaxed galaxies with properties in wide ranges. This small relative standard deviation suggests a cosmological origin of
. If so, non-relativistic dark matter in the early universe, when density perturbations are still linear, satisfies
(6)
In summary, the adiabatic invariant
obtains the ratio of dark matter temperature
to mass
in the early universe. Note that temperature can be assigned to dark matter because it satisfies the Boltzmann distribution [1] . The present study confirms the results obtained with galaxies in the THINGS sample [1] [2] .
Appendix: Fits to Spiral Galaxy Rotation Curves
Table A1. Fitted parameters with free
and large
. Entries with an * obtain fitted
outside of the range from 0.2 to 0.5. For these entries, we show the fit with
or
fixed, whichever has smaller
. Uncertainties are statistical at 68% confidence as returned by the fitter. Correlations are presented in Reference [1] . The correction
is obtained by extrapolation.
Table A2. Continuation of Table A1. For UGC11914,
fixed.
Table A3. Measured adiabatic invariants
for several fits described in Section 3. Uncertainties are statistical at 68% confidence. A systematic uncertainty, due to galaxies not fully relaxed and to possible dark matter rotation, needs to be added. We do not estimate this systematic uncertainty, but rather rely on the standard deviation of
in this sample of galaxies as an upper bound to the total uncertainty.
Table A4. Continuation of Table A3. For UGC11914,
fixed.