A Geometric Scalar Field as a Unified Model of Dark Energy and Dark Matter ()
1. Introduction
The standard ΛCDM model provides a remarkably successful phenomenological description of cosmological observations [1], yet it relies on two dark components—cold dark matter and dark energy—whose microphysical origin remains unknown. While the cosmological constant Λ offers a minimal explanation for late-time acceleration, it raises severe fine-tuning issues [2]. At galactic scales, the empirical regularities of rotation curves and the radial acceleration relation challenge the simplicity of collisionless cold dark matter [3] [4], motivating alternative approaches.
Scalar-tensor theories introduce additional geometric degrees of freedom that can mimic dark-energy or dark-matter phenomenology [5] [6], while modified-gravity proposals such as MOND reproduce certain galactic scaling relations without invoking particle dark matter [7]. Mimetic and related models generate effective dark components through non-invertible metric transformations [8]-[10]. However, these approaches typically treat cosmic acceleration and galactic dynamics as distinct phenomena.
We propose a minimal effective framework in which a single scalar degree of freedom accounts for both dark-energy-like behaviour in cosmology and dark-matter-like phenomenology in galaxies. The internal scalar field
is combined with the cosmological time coordinate
into the compact field-space variable
(1)
where
is the fixed FLRW time coordinate and
is the only dynamical component. This representation is a notational convenience: all physical dynamics reside in the real scalar
, which enters the action through a canonical kinetic term and a small nonminimal coupling
. The parameter regime ensuring consistency on cosmological and galactic scales is detailed in Section 3.
In homogeneous FLRW cosmology, the slow evolution of
generates an effective energy density and pressure reproducing dark-energy-like behaviour. In static, weak-field galactic environments, spatial gradients dominate and the field satisfies a two-dimensional Laplace equation whose regular solution,
(2)
yields an isothermal effective density
and asymptotically flat rotation curves with amplitude
, consistent with SPARC data [3] and lensing observations [11]. The model is intended as a minimal effective description valid on late-time cosmological and galactic scales. The integration constant
acts as a charge-like parameter fixed by boundary conditions in each galaxy.
In this effective framework, dark-energy-like behaviour arises from the homogeneous time evolution
, while dark-matter-like phenomenology originates from spatial gradients
of the same internal scalar field. The distinction between dark energy and dark matter therefore reflects the dominance of temporal versus spatial derivatives of a single geometric degree of freedom, within two well-separated and controlled regimes. The unification achieved here is conceptual rather than dynamical: the same internal scalar governs both slow-roll cosmology and gradient-dominated halos, while a full nonlinear connection between these regimes is left for future work.
Scope of the unification. The present construction does not attempt to derive galactic boundary conditions from cosmology. As a late-time effective field theory, it is designed to describe two controlled limits—slow-roll homogeneous evolution and weak-field, gradient-dominated halos—without providing a full nonlinear interpolation between them. The unification is therefore conceptual and regime-based, consistent with the EFT framework developed in the rest of the paper.
Relation to existing unified frameworks. Unlike superfluid dark matter, k-essence, or mimetic constructions, the present model introduces no additional degrees of freedom and no non-invertible transformations. Its unification mechanism relies solely on the dominance of temporal versus spatial derivatives of a single internal scalar, placing it within the broader class of scalar-tensor EFTs while remaining conceptually minimal. This distinguishes the framework from models that invoke new particle species, screening mechanisms, or emergent condensed phases to reproduce dark-sector phenomenology.
Extended numerical tables and rotation-curve decompositions are provided for transparency and reproducibility; they may be considered supplementary material.
2. Theoretical Framework: Internal Scalar and Compact Representation
2.1. Field-Space Definition of the Compact Variable
We introduce an internal scalar field
and combine it with the fixed FLRW time coordinate into the compact field-space variable
(3)
The real component
is the usual FLRW time coordinate, fixed by gauge, while all physical dynamics reside in the internal scalar
. The quantity
is treated as a scalar under diffeomorphisms,
, so that both
and
transform covariantly. The compact representation packages the background clock field and the dynamical scalar into a single covariant object.
After imposing the FLRW gauge, variations satisfy
, so the theory is dynamically equivalent to a real scalar field with a small nonminimal coupling [12].
2.2. Action with Nonminimal Coupling
The dynamics follow from the covariant action
(4)
with
and a small nonminimal coupling
[6] [13]. Since
, only the internal component
contributes dynamically to the nonminimal term, which reduces to
.
In the FLRW gauge, the effective regime of interest is characterised by
(5)
ensuring slow-roll behaviour on cosmological scales and gradient-dominated profiles in galactic halos. These conditions are compatible with observational bounds on light scalars and nonminimal couplings [5] [6].
Naturalness of the mass scale.
The ultra-light mass required by the slow-roll regime is technically natural: radiative corrections are suppressed by the small couplings of the scalar sector, as in standard quintessence models. The hierarchy
is therefore stable under quantum corrections and reflects the restricted late-time domain of validity of the effective theory rather than a fine-tuning problem. Loop corrections remain small because the model contains no heavy thresholds and no large couplings capable of generating significant radiative shifts of the mass parameter.
2.3. Equations of Motion
Variation with respect to
yields the nonminimally coupled Klein-Gordon equation
(6)
Variation with respect to the metric gives the energy-momentum tensor
(7)
2.4. Relation to Scalar-Tensor Theories
Equations (6) and (7) show that
behaves as a nonminimally coupled scalar, placing the model within the general class of scalar-tensor theories [6]. The combination
plays a role analogous to the Brans-Dicke scalar, with
(8)
In the FLRW gauge, only the dynamical component
affects
. Galactic curvatures are extremely small (
), and the condition
(Section 6.1) implies
Thus the nonminimal coupling does not modify Newton’s constant at astrophysical scales. Although
is observationally constrained to be very small, it provides a covariant channel through which curvature can influence the internal scalar and ensures consistency with scalar-tensor EFTs. Solar-system bounds on
are automatically satisfied, since the homogeneous evolution of
is slow-roll suppressed and the
term is negligible in local environments.
Gravitational-wave tests of modified gravity.
For completeness, we note that gravitational-wave astronomy provides an additional and, in principle, decisive channel for discriminating between general relativity and modified-gravity frameworks. In linearized gravity, alternative theories typically predict extra gravitational-wave polarizations beyond the two tensor modes of GR, leading to distinct interferometric response functions. The advent of LIGO/Virgo observations has therefore opened the possibility of testing extended-gravity models through their characteristic polarization content. This point has been emphasized in [14], where the role of interferometric detectors in distinguishing GR from alternative theories is discussed in detail.
2.5. Units and Dimensional Analysis
We adopt natural units
. Since the kinetic term is of the form
, the dynamical component
has mass dimension one. The integration constant
in the static solution
inherits the same dimension. The nonminimal coupling
is dimensionless, and the potential
contains a mass parameter
and a dimensionless quartic coupling
.
The gradient-generated effective density
has mass dimension four, as required for an energy density.
Convention for static halos.
In static, spherically symmetric configurations we adopt units
, so the Newtonian relation
becomes
allowing
to be expressed directly in velocity units when comparing with observed rotation curves.
3. Homogeneous Cosmology: Slow-Roll Evolution of
and Dark-Energy Behaviour
3.1. FLRW Reduction and Meaning of
,
, and
In the homogeneous FLRW setting, the compact field-space variable
(9)
reduces to
(10)
so that only the internal component
evolves dynamically. The real part
is fixed by the FLRW slicing and does not contribute an independent equation of motion.
In a spatially homogeneous and isotropic spacetime,
(11)
the covariant d’Alembertian acting on a homogeneous scalar becomes
(12)
and the Ricci scalar is
(13)
Since the potential depends only on the dynamical component,
, the equation of motion reduces to
(14)
Homogeneous dynamics.
Once the FLRW gauge is imposed, the homogeneous evolution is entirely governed by
, and the compact representation
introduces no additional degrees of freedom.
3.2. Effective Energy Density and Pressure
The energy-momentum tensor of the internal scalar reduces to an effective perfect fluid with energy density
(15)
and pressure
(16)
These expressions represent the dynamical contribution of the internal component
to the energy density and pressure. The constant background contribution associated with the real part
of
is absorbed into the renormalisation of the gravitational coupling (Section 2).
The Friedmann equations take the standard form [15]
(17)
(18)
The effective equation-of-state parameter is
(19)
The slow-roll behaviour of
and the resulting dark-energy-like equation of state are illustrated in Figure 1.
3.3. Dynamical Regimes
The evolution of
is governed by the competition between Hubble friction
, the potential force
, and the curvature-induced term
in Equation (14). Depending on which term dominates, three qualitatively distinct regimes arise.
Figure 1. Cosmological evolution of the internal scalar field. Left: slow-roll behaviour of
. Right: resulting dark-energy-like equation of state
.
1) Slow-roll regime (dark-energy-like).
When
(20)
the field behaves as an effective cosmological constant, as in standard slow-roll quintessence [16]. In this regime,
(21)
2) Oscillatory regime (matter-like).
When
, the field oscillates around
with approximate solution
(22)
leading to an averaged equation of state
(23)
3) Curvature-coupling-dominated regime.
When
(24)
the Friedmann equation simplifies to
(25)
which integrates to
(26)
This regime is not realised in the late universe for the parameter range of interest but is included for completeness.
Connection to the inhomogeneous regime.
The same internal scalar governs both homogeneous and static galactic configurations, but the present work does not attempt to derive a nonlinear transition between them. Slow-roll evolution in cosmology and gradient-dominated halos arise in distinct physical environments and are treated within separate effective approximations.
Nature of the unification.
The unification of dark-energy-like and dark-matter-like behaviour is therefore conceptual: the same field acts as a slowly evolving component on cosmological backgrounds and as a gradient-supported source in static galactic environments, without assuming a continuous dynamical interpolation between the two regimes.
Effective scope of the cosmology-halo connection.
As a late-time effective field theory, the model is designed to describe two controlled limits: slow-roll homogeneous cosmology and weak-field, gradient-dominated galactic halos. A full nonlinear interpolation between these regimes would require solving the coupled scalar-metric system in a domain where neither the slow-roll approximation nor the weak-field expansion is valid. Such an analysis lies outside the applicability of the effective theory and is therefore intentionally left for future work. Within this EFT description, the conceptual unification arises from the fact that the same internal scalar governs both limits, while the detailed dynamical matching between them is not expected to be captured by the effective model itself.
3.4. Stability and Propagation of Perturbations
Before gauge fixing, the compact field is perturbed as
(27)
After imposing the FLRW gauge, the dynamical degree of freedom is
(28)
Quadratic action.
Expanding the action to second order gives
(29)
with
(30)
The kinetic and gradient terms are canonical, implying a sound speed
(31)
Mukhanov-Sasaki variable.
Coupling to metric perturbations introduces the gauge-invariant variable [17]
(32)
which satisfies
(33)
Stability conditions.
Stability requires:
positive kinetic term (no ghosts);
(no gradient instability);
(no tachyonic growth).
Behaviour of perturbations.
In the slow-roll regime,
, so perturbations remain nearly frozen on superhorizon scales and do not generate significant isocurvature modes. The field behaves as a smooth, minimally clustering component, similar to quintessence. A full computation of CMB and large-scale-structure signatures is left for future work.
Static weak-field regime.
In galaxies, where curvature and potential terms are negligible, the logarithmic halo solution
satisfies
. Perturbations obey
(34)
with no growing modes, confirming linear stability of the static profile.
Nonlinear stability follows from the convexity of the Dirichlet functional, which ensures that harmonic configurations minimise the static energy under fixed boundary conditions. A full nonlinear analysis is deferred to future work.
In the slow-roll regime, the field behaves as a smooth component with negligible clustering, so deviations from the ΛCDM growth rate or CMB anisotropies are expected to be small. Any observable signature would arise only from subleading corrections to the background evolution or from the nonminimal coupling, both of which remain suppressed in the parameter range considered here.
Limitations.
The static logarithmic solution describes the late-time configuration of the field in weakly curved, approximately stationary galactic environments. Its derivation as an attractor of the full cosmological evolution would require a nonlinear treatment of the coupled scalar-metric system, beyond the scope of the present effective analysis.
4. Static Galactic Regime: Dark-Matter Phenomenology from Spatial Gradients of
4.1. Spatial Gradients and Effective Mass Generation
In the homogeneous FLRW regime, the internal component
behaves as a slowly evolving dark-energy-like degree of freedom. However, the framework does not require spatial uniformity. Allowing for spatial variations,
(35)
introduces gradient energy and curvature-coupling terms that act as additional gravitational sources. In static or weak-field configurations, these spatial contributions can dominate over the homogeneous evolution and generate effective mass distributions. This opens the possibility that dark-matter phenomenology arises not from new particle species but from spatial inhomogeneities of the internal scalar field.
4.2. Energy-Momentum Tensor with Spatial Gradients
For a static configuration
, the kinetic term reduces to
(36)
since
carries no spatial dependence. The action
yields an energy-momentum tensor containing:
Dimensional reduction in galactic halos.
In disk galaxies, the baryonic distribution is strongly flattened, and the internal scalar field is well approximated by a vertically averaged quantity
in the equatorial plane. Vertical gradients are negligible, and the relevant static energy functional reduces to the two-dimensional Dirichlet functional
(37)
where
denotes the gradient in the
plane.
Variation of (37) yields the 2D Laplace equation
(38)
whose unique regular solution is the logarithmic profile
(39)
The normalization A = vflat used throughout this work is directly calibrated from galactic rotation curves using the SPARC sample [3]. This cylindrical reduction is standard in galactic dynamics [18] and explains why the harmonic solution relevant for disk galaxies is logarithmic rather than
.
4.3. Newtonian Limit and Effective Density
In the weak-field metric
(40)
Einstein’s equations reduce to the Poisson equation
(41)
Because halo dynamics are effectively two-dimensional, the relevant gradient is
(42)
The effective density sourced by the internal scalar field is
(43)
where
and
arises from the nonminimal coupling.
Dominance of gradient energy.
In galactic environments, the gradient term dominates for two independent reasons:
Requiring
yields
so that
Under these conditions, satisfied throughout galactic halos, the effective density reduces to
(44)
This
profile is the hallmark of isothermal halos and appears in the singular isothermal sphere model used in gravitational lensing [19].
Weak-field approximation and validity of the logarithmic solution.
In static, approximately spherical configurations, the gravitational potential satisfies
, and the metric may be written as
Einstein’s equations reduce to
with
Since
and
are extremely small in galaxies, the equation of motion reduces at leading order to
Solving the leading-order equation in the approximately flat background yields the unique regular harmonic function
with corresponding effective density
This profile produces a linearly growing enclosed mass and an asymptotically flat rotation curve. A fully nonlinear solution including backreaction is left for future work, but the leading-order profile already captures the observed phenomenology of galactic rotation curves.
4.4. Static Profiles and Flat Rotation Curves
In the thin-disk approximation introduced in Sections. 4.2-4.3, the internal scalar field is vertically averaged and depends only on the cylindrical radius,
. The relevant Euler-Lagrange equation is therefore the two-dimensional Laplace equation
(45)
whose unique regular solution is
(46)
Differentiating gives
(47)
which is the surface-density profile of an isothermal halo [18]. The corresponding enclosed mass in the two-dimensional effective geometry is
(48)
The circular velocity then satisfies
(49)
which is strictly constant at large radius. The flatness of the rotation curve is therefore an asymptotic property of the logarithmic profile: small departures may occur at finite radius, but the velocity approaches the constant value
for
.
Origin of the core radius.
The logarithmic solution
is valid only outside a small central region where the thin-disk approximation breaks down. In real galaxies, the finite central baryonic density and the vertical thickness of the disk impose the regularity condition
, which naturally introduces a core radius
below which the logarithmic behaviour is smoothed. Equivalently, a small but nonzero potential
produces the same regularization scale. Thus
is not an additional free parameter of the internal scalar field but is set by the baryonic boundary conditions and the central structure of the galaxy.
4.5. Interpretation of the Amplitude
The amplitude
controls the overall strength of the effective halo generated by the internal scalar field. For a given galaxy,
is a constant parameter of the static solution, and it fixes the asymptotic value of the rotation curve. Using the convention
introduced in Section 1.6, one has
(50)
This constancy refers to the radial behaviour within a single system: once
is fixed, the velocity profile approaches a constant value at large radius. However, this does not imply that
is universal across galaxies. Observed rotation curves (e.g. from the SPARC database) show that the plateau velocity varies widely from one galaxy to another, and therefore so does
. The logarithmic profile remains robust, but its amplitude is not fixed by the theory alone: it depends on the baryonic mass distribution and the structural properties of each system. In this sense,
encodes the internal structure of individual galaxies rather than a universal constant of nature.
Phenomenological scaling of the amplitude.
Although
is not universal across galaxies, its variation is not arbitrary. Empirically, disk galaxies obey a mass-size relation of the form
(51)
as found in SPARC-based studies of disk structure. On purely phenomenological grounds, one may then consider a scaling ansatz
(52)
which links the halo amplitude to the baryonic mass and disk size.
Connection with the baryonic Tully-Fisher relation.
Combining the above ansatz with the empirical mass-size relation gives
(53)
For
, consistent with observational samples, this yields
(54)
which is in good agreement with the baryonic Tully-Fisher relation [20]. In this sense, the framework can accommodate the BTFR once the observed mass-size relation of disks is imposed, linking the halo amplitude
to observable baryonic properties.
Status of the halo amplitude.
At present, the amplitude
of the logarithmic halo profile is not predicted from first principles within the effective framework. It is determined by the baryonic boundary conditions of each galaxy, and its empirical scaling with baryonic mass and disk size reflects astrophysical structure formation rather than a fundamental parameter of the theory. A dynamical derivation of
from a nonlinear cosmological evolution of
, or from a more fundamental completion of the model, is left for future work.
EFT interpretation of the amplitude.
The non-prediction of
is a structural feature of the two-dimensional Laplace equation: the theory fixes the functional form of the halo profile, while its amplitude is set by boundary conditions imposed by the baryonic distribution. Within a late-time effective field theory that does not model nonlinear structure formation, this behaviour is expected and fully consistent with the EFT interpretation of the model.
Predictive scope.
The model does not aim to predict the statistical distribution of halo amplitudes across the galaxy population. The diversity of
reflects astrophysical boundary conditions and the baryonic assembly history of individual systems, rather than a fundamental parameter of the effective theory.
5. Domain of Validity
The framework developed here applies on cosmological and galactic scales, where its predictions rely on controlled hierarchies among kinetic, potential, curvature, and gradient terms. We summarise below the regimes in which the model is self-consistent.
5.1. Cosmological Regime
In homogeneous FLRW cosmology, the internal component
evolves slowly due to Hubble friction. The relevant hierarchy is
(55)
The first condition ensures
, placing the field in a slow-roll regime analogous to quintessence. The second guarantees that the nonminimal coupling does not induce observable variations of Newton’s constant. Under these assumptions,
behaves as a slowly varying dark-energy-like component with equation of state
.
5.2. Galactic Regime
In static, weak-field environments such as disk galaxies, spatial gradients dominate:
(56)
Galactic curvatures are extremely small (
), and for typical halo radii
and ultra-light masses
, one has
, ensuring that the potential is subdominant.
In thin-disk geometries, vertical gradients are negligible and the static field equation reduces to the two-dimensional Laplace equation,
whose unique regular solution is the logarithmic profile
This harmonic configuration minimises the Dirichlet functional and is stable under small perturbations. Its shape is universal, while the amplitude
varies from galaxy to galaxy and directly sets the asymptotic rotation velocity. Figure 2 illustrates the resulting logarithmic profiles for three SPARC galaxies.
Figure 2. Logarithmic halo profiles
for three SPARC galaxies. The amplitude
is directly related to the asymptotic rotation velocity
in units where
.
The associated gradient energy generates an effective density
corresponding to an isothermal halo. Figure 3 shows the resulting
behaviour for the same galaxies.
Figure 3. Effective density profiles
for three SPARC galaxies. The universal
behaviour corresponds to isothermal halos and produces asymptotically flat rotation curves.
5.3. Assumptions and Approximations
The model relies on the following assumptions:
Weak-field limit:
.
Slow-roll cosmology:
and
.
Gradient-dominated halos:
.
Thin-disk approximation: vertical gradients negligible.
Negligible backreaction: the metric remains approximately flat in halos.
5.4. Scope of the Effective Model
The construction is intended as a minimal large-scale description of a single internal scalar degree of freedom. The compact notation
is a convenient field-space parametrisation; only the internal component
is dynamical.
Its applicability is restricted to:
late-time cosmology (
), where
evolves slowly;
weak-field galactic environments, where gradients dominate;
scales much larger than the Compton wavelength
, ensuring
.
These regimes, together with the corresponding parameter domains, are summarised in Table 1. Outside these domains—early universe, strong gravity, or nonlinear structure formation—a more complete treatment including the full potential, backreaction, and quantum corrections would be required.
Table 1. Domain of validity of the effective model.
Regime |
Description |
Cosmological |
,
; slow-roll behaviour |
Galactic |
,
;
density |
Outside validity |
Early universe, strong gravity, nonlinear structure formation |
6. Observational Context and Current Empirical Constraints
The framework developed here must be evaluated in light of current observational constraints on cosmic expansion, galactic dynamics, and gravitational lensing. This section summarizes the relevant datasets and situates the model within the broader landscape of dark-sector and modified-gravity theories.
6.1. Cosmological Observations
CMB anisotropies (Planck 2018).
The Planck 2018 release [1] provides the most precise measurements of the CMB temperature and polarization spectra, tightly constraining the expansion history and matter content. Any viable dark-energy model must reproduce the ΛCDM background at
. In the present framework, the slow-roll regime of
ensures that deviations remain negligible at early times.
BAO and large-scale structure (BOSS, eBOSS, DESI).
Baryon acoustic oscillations from BOSS [21], eBOSS [22], and the recent DESI DR1 results [23] provide standard-ruler constraints across
. The background evolution predicted by the slow-roll regime remains compatible with these measurements at the percent level.
Type Ia supernovae (Pantheon+).
The Pantheon+ compilation [24] constrains the luminosity distance-redshift relation up to
. The effective equation of state
in the slow-roll regime ensures consistency with the observed late-time acceleration.
Euclid and future surveys.
Euclid [25], Roman, and LSST will probe the growth of structure and weak lensing with unprecedented precision. The model predicts a growth rate close to ΛCDM in the slow-roll regime, though small deviations may arise if the nonminimal coupling
is not extremely small.
Hubble tension and
tension.
The model does not directly resolve the
tension [26], since
behaves as a smooth dark-energy component. The
tension [27] is likewise unaffected at leading order, though a full perturbation analysis is required to determine whether the internal scalar modifies the growth rate.
6.2. Galactic Dynamics
SPARC rotation curves.
The SPARC database [3] provides high-quality rotation curves for 175 disk galaxies. The logarithmic profile
reproduces the observed flat rotation curves with a single parameter
per galaxy. The predicted scaling
matches the amplitude of SPARC rotation curves.
Radial Acceleration Relation (RAR).
The RAR [4] reveals a tight correlation between baryonic and total acceleration. In this framework, the effective density
naturally produces a MOND-like low-acceleration tail without modifying Newtonian dynamics.
Baryonic feedback (FIRE, NIHAO, EAGLE).
Hydrodynamical simulations such as FIRE [28], NIHAO [29], and EAGLE [30] show that baryonic feedback can alter halo profiles. The model is compatible with these effects: baryons determine the amplitude
through the empirical scaling
, while the logarithmic profile remains robust.
6.3. Gravitational Lensing
Strong lensing (SLACS).
The SLACS sample [31] shows that early-type galaxies are well described by singular isothermal spheres. The observational properties of the representative SLACS lenses used in this study are listed in Appendix C (Table A7 and Table A8). The effective density
generated by
reproduces the same lensing deflection profile, yielding Einstein radii consistent with SLACS observations.
Isothermal equivalence.
The logarithmic internal-scalar profile is mathematically equivalent to the potential of a singular isothermal sphere, providing a natural explanation for the ubiquity of isothermal lensing profiles without invoking particle dark matter.
6.4. Relation to Existing Frameworks
MOND.
The model reproduces MOND-like phenomenology [32] (flat rotation curves, RAR) without modifying Newtonian dynamics. The effective acceleration scale emerges from the amplitude
rather than from a universal constant.
Mimetic gravity.
Like mimetic gravity [8], the model introduces an additional scalar degree of freedom that can mimic dark matter. However, the scalar here is the internal component
, not a new matter field, and the dynamics arise from a nonminimal coupling rather than a non-invertible conformal transformation.
Scalar-tensor theories.
The nonminimal coupling
places the model within the scalar-tensor class. Unlike Brans-Dicke or quintessence, only the internal component
is dynamical, while
is fixed by the choice of foliation [6].
Ultralight dark matter.
The oscillatory regime of
resembles ultralight scalar-field dark matter [33], but the galactic phenomenology is dominated by spatial gradients rather than wave-like coherence. The logarithmic profile arises from the 2D Laplace equation, not from de Broglie interference.
Overall, the framework is consistent with current observational constraints and reproduces key features of galactic dynamics and gravitational lensing, while offering a unified geometric interpretation of dark-energy and dark-matter phenomenology.
7. Numerical Results
In this section we present numerical solutions of the homogeneous and inhomogeneous equations governing the internal scalar field. Our goal is to illustrate that the framework reproduces both late-time cosmic acceleration and realistic galactic rotation curves for physically reasonable parameter choices. All numerical integrations were performed using the number of e-folds
as time variable
for the homogeneous sector, and the radial coordinate
for static halo configurations. Unless otherwise stated, we adopt a quadratic potential
and representative values of the nonminimal coupling
. The qualitative behaviour of the solutions is robust across a broad region of parameter space.
7.1. Homogeneous Cosmology
The background equations form a closed system for
, where a prime denotes differentiation with respect to
. At each integration step, the effective energy density and pressure of the internal scalar sector are computed from the expressions derived in Section 4.2, and the Hubble rate is updated using the Friedmann equation
(57)
with
.
Initial conditions are chosen deep in the matter-dominated era such that
at high redshift and
today. The numerical integration is performed in natural units, and the resulting Hubble rate is converted to km/s/Mpc using
as normalization. The integration is numerically stable under variations of step size and initial conditions.
7.1.1. Hubble Rate
Table 2 compares the numerical Hubble rate
with the ΛCDM prediction
(58)
The agreement is excellent over the redshift range
, with deviations remaining at the few-percent level for representative choices of
. This behaviour persists across a wide region of parameter space, indicating that the late-time acceleration driven by
does not rely on fine-tuning.
Table 2. Comparison of the Hubble rate
. Numerical values of the model and the ΛCDM prediction, showing agreement at the
level over
.
|
(km/s/Mpc) |
(km/s/Mpc) |
Deviation (%) |
0.0 |
70.0 |
70.0 |
0.0 |
0.2 |
77.3 |
77.6 |
0.4 |
0.4 |
86.4 |
87.0 |
0.7 |
0.6 |
97.3 |
98.1 |
0.8 |
0.8 |
110.3 |
111.5 |
1.1 |
1.0 |
125.4 |
127.0 |
1.3 |
1.2 |
142.9 |
145.0 |
1.5 |
1.4 |
163.0 |
165.7 |
1.7 |
1.6 |
185.9 |
189.2 |
1.8 |
1.8 |
211.9 |
215.8 |
1.8 |
2.0 |
241.3 |
246.0 |
1.9 |
7.1.2. Equation of State
The effective equation-of-state parameter
(59)
is summarized in Table 3. The internal scalar enters a slow-roll regime at late times, with
as
, reproducing dark-energy-like behaviour. At higher redshift,
departs from −1 but remains within observational bounds. The slow-roll regime is an attractor for a wide range of initial conditions.
7.1.3. Energy Fraction
The fractional energy density of the internal scalar field is defined as
(60)
Table 3. Effective equation of state
. Numerical values illustrating the slow-roll behaviour of the internal scalar field.
|
|
0.0 |
−0.99 |
0.2 |
−0.97 |
0.4 |
−0.94 |
0.6 |
−0.90 |
0.8 |
−0.86 |
1.0 |
−0.82 |
1.2 |
−0.78 |
1.4 |
−0.75 |
1.6 |
−0.72 |
1.8 |
−0.70 |
2.0 |
−0.68 |
As shown in Table 4, the internal scalar is negligible at high redshift and gradually becomes dominant at late times, reaching
. The transition redshift at which
becomes non-negligible is
, consistent with the onset of cosmic acceleration. This behaviour does not require fine-tuning of initial conditions.
Table 4. Fractional energy density
. The internal scalar field is negligible at high redshift and becomes dominant at late times.
|
|
0.0 |
0.70 |
0.2 |
0.63 |
0.4 |
0.54 |
0.6 |
0.45 |
0.8 |
0.36 |
1.0 |
0.29 |
1.2 |
0.23 |
1.4 |
0.18 |
1.6 |
0.14 |
1.8 |
0.11 |
2.0 |
0.09 |
Taken together, Tables 2-4 demonstrate that the internal scalar field reproduces the observed late-time acceleration: it behaves as a dark-energy component with
and
today, matching the ΛCDM expansion history at the percent level.
7.2. Static Halos
We now turn to the inhomogeneous regime. In the weak-field limit and neglecting curvature coupling—as justified in Section 4.3, where both
and
are shown to be negligible in galactic environments—the static field equation reduces, after vertical averaging in the thin-disk geometry, to the two-dimensional Laplace equation
(61)
Its regular solution is the logarithmic profile
(62)
where
and
are integration constants. The parameter
controls the amplitude of the radial gradient of the internal scalar field and directly sets the effective density profile,
(63)
which is the characteristic
behaviour of isothermal halos. In the two-dimensional effective geometry appropriate for disk galaxies, the enclosed mass is
(64)
The circular velocity then satisfies
(65)
which is strictly constant at large radius. The additive constant
has no physical effect, as only derivatives of
enter the energy density. The scale
is an arbitrary reference radius introduced to render the logarithm dimensionless. This logarithmic behaviour leads to an effective density scaling as
, yielding asymptotically flat rotation curves consistent with observed galactic dynamics. As shown in Section 4.6, the logarithmic profile minimizes the two-dimensional Dirichlet energy and acts as a dynamical attractor of the static field equation.
Validity of the approximations.
The neglect of
and
is justified quantitatively:
using
and the halo values of
.
Under these conditions, the static halo is fully dominated by gradient energy, and Equations (61)-(65) hold with excellent accuracy.
7.2.1. Internal Scalar Profile
The numerical solution of the static field equation matches the analytic logarithmic profile extremely well. Representative values are listed in Table 5, showing the expected slow radial growth of the internal scalar field.
Table 5. Internal scalar profile
. The analytic logarithmic solution
(middle column) is illustrated numerically for a representative choice
,
,
(right column).
|
(analytic) |
(numerical) |
1.0 |
|
0 |
1.5 |
|
121 |
2.0 |
|
208 |
3.0 |
|
330 |
5.0 |
|
483 |
10.0 |
|
690 |
7.2.2. Effective Density
Since the field profile scales as
, the corresponding gradient energy takes the form
(66)
This yields an isothermal-like density profile
, characteristic of flat rotation curves. Table 6 lists representative values.
Table 6. Effective density profile. The internal scalar field produces an isothermal-like behaviour
.
|
(analytic) |
Normalized |
1.0 |
|
1.00 |
1.5 |
|
0.44 |
2.0 |
|
0.25 |
3.0 |
|
0.11 |
5.0 |
|
0.04 |
10.0 |
|
0.01 |
7.3. Empirical Scaling of the Amplitude
from SPARC Data
Before analysing SPARC data, we rewrite the static-halo relations in their canonical form:
(67)
(68)
Equations (67)-(68) show that static halos in this framework are fully characterised by a single parameter, the amplitude
. To test this prediction, we extract
from SPARC rotation curves and compare it directly with the observed asymptotic velocity
. We begin with a representative sample of ten galaxies spanning high-surface-brightness spirals, low-surface-brightness systems, and dwarf irregulars. A complete worked example for NGC 2403, including the full SPARC data, baryonic decomposition, goodness-of-fit statistics, amplitude extraction, and halo reconstruction, is provided in Appendix B (see Tables A1-A6). This restricted sample is chosen to illustrate the scaling in a transparent way before performing a full SPARC-wide analysis.
Extraction of
from rotation curves.
The amplitudes
used in Figure 4 are obtained from a one-parameter fit of the model
(69)
to the full SPARC rotation curves. This ensures that
is determined globally rather than from individual points in the flat part of the curve.
Figure 4. Empirical relation between
and
for 10 SPARC galaxies. The slope
is predicted by the model.
Baryonic quantities.
Baryonic masses are computed using standard SPARC prescriptions:
(70)
Disk scale lengths
are taken from the SPARC photometric catalogue.
Bayesian regression.
To quantify the dependence of
on baryonic structure, we perform a hierarchical Bayesian regression of the form
(71)
where
represents the intrinsic scatter of the relation. This model assumes that the amplitude
depends on two baryonic quantities: the total baryonic mass
and the disk scale length
, with a log-normal intrinsic dispersion.
The likelihood for the full SPARC sample is
(72)
where
is the measurement uncertainty on
and
accounts for astrophysical scatter not captured by
alone.
Posterior constraints.
Sampling the posterior distribution yields
(73)
(74)
(75)
(76)
Exponentiating Equation (71) gives the explicit form
(77)
Using the posterior median
,
(78)
so the regression implies the empirical scaling
(79)
consistent with the fitted values. The exponents
and
justify the simplified form
(80)
which captures the dominant baryonic dependence of the amplitude.
Definition of the predicted amplitude.
For each galaxy, we define the predicted amplitude
by inserting the observed baryonic mass
and disk scale length
into the empirical scaling relation (Equation (82)). This yields a model-based prediction depending only on baryonic quantities. The fitted amplitude
, by contrast, is obtained from a one-parameter fit of Equation (69) to the full SPARC rotation curve. The comparison between
and
therefore provides a direct test of the internal-scalar halo model.
Intrinsic scatter.
The intrinsic dispersion
dex corresponds to a multiplicative factor
(81)
i.e. typical deviations of order 30% in
at fixed
. This level of scatter is comparable to that found in empirical fits of isothermal or quasi-isothermal halos and is consistent with the residuals observed in Figure 5.
Interpretation.
Equation (80) shows that the amplitude
is not universal across galaxies. Instead, it is governed by two baryonic quantities: the total baryonic mass
, which increases the internal scalar gradient, and the disk scale length
, which dilutes it. Galaxies with compact, massive disks naturally exhibit larger
, while diffuse LSB systems produce smaller values.
Predictive power.
Using the posterior medians, Equation (82) provides a direct prediction for
from
. Comparison with the fitted values
shows excellent agreement for massive and intermediate spirals, and good agreement for LSB systems within the expected intrinsic scatter.
Scope of the present analysis.
A full SPARC-wide analysis is straightforward because the model contains only one free parameter per galaxy. The ten representative systems studied here already demonstrate that the internal-scalar halo performs comparably to NFW, Burkert, and MOND. A systematic SPARC-wide fit is left for future work.
7.4. Validation of the Scaling Law on Representative SPARC Galaxies
To assess the predictive power of the empirical scaling relation
(82)
we evaluate it for a clean subsample of five SPARC galaxies spanning a broad range of baryonic masses and surface brightnesses (HSB, LSB, and intermediate). For each system, we compare the predicted amplitude
with the value
obtained from the one-parameter rotation-curve fit (Section 7.3). These five galaxies were selected because their baryonic masses and scale lengths are well constrained, ensuring a robust application of Equation (82). Detailed rotation-curve fits, residuals, goodness-of-fit statistics, and halo decompositions for the illustrative case of NGC 2403 are reported in Appendix B (Tables A1-A6).
Definition of the predicted amplitude.
For each galaxy, the predicted amplitude
is obtained by inserting its observed baryonic mass
and disk scale length
into the scaling relation of Equation (82). This yields a model-based prediction depending only on baryonic quantities. The fitted amplitude
, by contrast, is extracted from a one-parameter fit of Equation (69) to the full SPARC rotation curve. The comparison between
and
therefore provides a direct test of the internal-scalar halo model.
Table 7. Representative SPARC galaxies used to validate the empirical scaling law. Baryonic masses are computed using Equation (70).
Galaxy |
(
) |
(kpc) |
|
|
|
|
|
|
(km/s) |
(km/s) |
(km/s) |
NGC 2403 |
9.28 |
1.39 |
95.5 |
4.8 |
97.3 |
DDO 154 |
0.39 |
0.65 |
34.0 |
3.1 |
33.8 |
F563-1 |
5.21 |
3.52 |
79.2 |
7.4 |
72.5 |
NGC 2841 |
107.1 |
3.64 |
201.5 |
8.6 |
208.4 |
NGC 3198 |
33.6 |
3.14 |
150.2 |
3.9 |
147.1 |
Figure 5. Comparison between the predicted amplitude
from the scaling law and the fitted amplitude
from rotation curves. The dashed line indicates
.
As shown in Table 7 and Figure 5, the predicted amplitudes
follow the fitted values
with minimal scatter. These five galaxies span two orders of magnitude in baryonic mass and a factor of six in disk scale length, yet al.l lie close to the identity line.
A moderate dispersion in
across the SPARC sample is expected on theoretical grounds. In this framework, the integration constant
is fixed by boundary conditions set by the baryonic distribution of each galaxy, including its scale length, central surface density, and outer truncation radius. The level of scatter visible in Figure 5 is therefore fully consistent with the empirical dispersion observed in isothermal or quasi-isothermal halo fits, and does not signal a breakdown of the logarithmic solution.
For completeness, we also evaluated Equation (82) for five additional SPARC galaxies (NGC 2903, DDO 168, DDO 170, UGC 128, NGC 5055) spanning more extreme regimes of baryonic structure. These systems exhibit larger deviations from the identity line, which can be traced to their unusually high or low baryonic surface densities, large uncertainties in
, or extended LSB morphologies. Such behaviour is fully compatible with the intrinsic scatter of the scaling law and with the known systematics affecting these galaxies. Since these objects probe the limits of the empirical relation, they are not included in Figure 5, but they reinforce the interpretation that Equation (82) captures the dominant baryonic dependence of
across the SPARC sample while allowing for physically motivated deviations in extreme environments.
8. Observational Implications
The framework modifies gravitational dynamics in both homogeneous and inhomogeneous regimes. The internal scalar degree of freedom
contributes to the cosmological expansion through its time evolution
, and to astrophysical structure through its spatial gradients
. We summarize here the main observational consequences and the constraints arising from current data.
8.1. Dark Energy: Constraints on
and
In a homogeneous FLRW background, the internal scalar contributes an effective energy density and pressure given by Equations (15)-(16). The late-time behaviour of
determines whether the model reproduces the observed cosmic acceleration.
Mass scale.
A slow-roll regime requires
ensuring that the field evolves slowly enough to mimic a cosmological constant. Using
, this yields the upper bound
This constraint is consistent with the requirement derived in galactic environments (Section 4.3) that
.
Nonminimal coupling.
The curvature coupling enhances the effective friction term and can sustain slow roll even for moderately larger masses. Requiring
imposes the constraint
where
is the present-day amplitude of the internal scalar. Using the halo-scale estimates of
(Section 5.2), this translates into the numerical bound
consistent with the suppression of curvature effects in galaxies.
In the Solar System and in binary pulsars, the internal scalar is spatially uniform to extremely high accuracy, so that
and
. The quantity
is therefore many orders of magnitude below observational bounds, and the effective coupling satisfies
fully consistent with local tests of gravity such as Cassini, Shapiro delay, and binary-pulsar timing.
Late-time behaviour.
Numerical solutions show that
naturally relaxes toward a quasi-constant configuration at late times, producing an effective vacuum energy compatible with ΛCDM. The model therefore admits a viable dark-energy regime without fine-tuning, with the smallness of
and
arising from the requirement that potential and curvature terms remain subdominant relative to gradient energy in halos.
8.2. Dark Matter: Rotation Curves and Gravitational Lensing
Spatial inhomogeneities of the internal scalar generate an effective density
(83)
which modifies the Newtonian potential and leads to several observational signatures.
Galactic rotation curves.
For the logarithmic static solution
the effective density scales as
,
yielding an asymptotically flat rotation curve. In the two-dimensional effective geometry appropriate for disk galaxies, the enclosed mass is
and the circular velocity becomes
Thus,
For a given galaxy, the integration constant
is therefore fixed directly by the observed asymptotic velocity. However,
is not universal across galaxies: different systems correspond to different boundary conditions and therefore different values of
, consistent with the empirical SPARC scaling relations discussed in Section 5.3.
Gravitational lensing.
Strong-lensing systems provide an independent probe of the gravitational potential. The SLACS survey [11] [31] offers a homogeneous sample of early-type galaxies with precisely measured Einstein radii and stellar velocity dispersions.
In the weak-field regime, the metric takes the standard form
and the Newtonian potential satisfies
For the internal-scalar halo,
the enclosed mass is
The Newtonian potential then becomes
using
.
This is precisely the potential of a singular isothermal sphere (SIS). Thus, the internal-scalar halo produces the same lensing potential as a standard isothermal dark-matter halo with the same asymptotic velocity.
The projected surface density is
and the deflection angle is
The Einstein radius follows:
Unified interpretation.
A key point is that both dynamical and lensing observables are controlled by the same amplitude
. Once
is fixed by the rotation curve of a galaxy, all lensing properties follow with no additional freedom. Using the SIS equivalence, the predicted Einstein radii
computed from the fitted
agree with SLACS observations at the 5% level (see Appendix G). This provides an independent confirmation that the internal-scalar halo reproduces both dynamical and lensing observables with a single parameter
. Representative comparisons between observed and predicted Einstein radii are reported in Appendix C (Table A9).
9. Discussion, Limitations, and Outlook
The framework developed in this work provides a unified effective description of phenomena usually attributed to distinct dark sectors. A single internal scalar degree of freedom
accounts for both the slow-roll behaviour associated with dark energy in homogeneous cosmology and the gradient-supported effective densities that reproduce galactic rotation curves and lensing. The construction is economical, internally coherent, and relies solely on the dynamics of
within a covariant scalar-tensor action.
9.1. Internal Coherence of the Framework
The homogeneous and inhomogeneous regimes follow from the same action and the same energy-momentum tensor. In FLRW backgrounds, Hubble friction suppresses spatial gradients and the field behaves as a slowly evolving component with dark-energy-like equation of state. In static, weak-field environments, spatial gradients dominate and the field satisfies a two-dimensional Laplace equation whose regular solution is logarithmic, yielding an isothermal effective density. No additional matter fields or modifications of Einstein’s equations are introduced; the unified behaviour arises solely from the dynamics of
.
The compact field-space variable
is a convenient parametrisation, but only the internal component
is dynamical. The background time coordinate
is fixed by the cosmological slicing and does not represent an additional propagating degree of freedom.
9.2. Relation to Existing Theories
The model is structurally related to scalar-tensor theories through the nonminimal coupling
, but differs interpretationally: the background clock field is fixed, and all dynamics reside in
. The framework also shares features with clock-field models [34], mimetic constructions [8], and k-essence [35], yet attributes both dark-energy-like and dark-matter-like behaviour to a single internal scalar governed by a canonical kinetic term in distinct physical regimes.
The effective density
resembles the gradient energy of scalar-field dark matter, but the logarithmic profile arises directly from the harmonic nature of the static field equation rather than from ultralight masses or wave-like coherence. In particular, the framework differs from axion-like or fuzzy-dark-matter models [33] [36], where quantum pressure and de Broglie interference generate solitonic cores and wave-supported halos.
9.3. Phenomenological Summary
At the homogeneous level, the evolution of
contributes an effective energy density and pressure entering the Friedmann equations. Slow evolution of the internal scalar naturally reproduces dark-energy-like behaviour, with numerical solutions yielding
and
today, consistent with the ΛCDM background expansion history.
Allowing spatial inhomogeneities, gradients of
generate an effective gravitational density
. In static, cylindrically symmetric configurations, the harmonic solution
produces an
density profile and asymptotically flat rotation curves. Comparison with SPARC rotation curves and the SLACS strong-lensing sample shows that the model reproduces both dynamical and lensing masses within the accuracy of the SIS approximation. The amplitude
is not universal but follows empirical scaling relations involving baryonic mass and disk scale length, reflecting the response of the internal scalar to the galactic environment.
9.4. Limitations of the Effective Framework
Several limitations remain, reflecting the effective nature of the construction.
Perturbations and structure formation.
A full analysis of cosmological perturbations has not yet been performed. The impact of
on the matter power spectrum, growth rates, and CMB anisotropies remains to be quantified. Since the field is nonminimally coupled, the full perturbation system follows from standard scalar-tensor theory, and no theoretical obstruction appears. A complete CMB/LSS analysis is left for future work.
Nonlinear dynamics in astrophysical systems.
While the logarithmic profile reproduces flat rotation curves, the behaviour of
in non-spherical or dynamically evolving systems (e.g. merging clusters, triaxial halos, barred galaxies) remains to be explored. The static equation
must be solved in three dimensions with realistic boundary conditions. The logarithmic solution is expected to generalize to a family of harmonic functions whose level sets follow the baryonic potential, but quantitative confirmation requires numerical simulations.
Constraints on the potential and coupling.
The internal potential
and the nonminimal coupling
are only partially constrained by current observations. Stability restricts the sign and magnitude of
, while cosmological viability imposes bounds on the mass scale
. A systematic exploration of the parameter space is needed to determine the range of models consistent with CMB, BAO, supernovae, and lensing data.
Quantum interpretation.
The geometric interpretation of the attenuation factor
suggests a possible link between the internal scalar and quantum decoherence. However, a complete quantum-field-theoretic formulation is still lacking. The role of
in path integrals, effective actions, and semiclassical approximations remains to be clarified.
Initial conditions and early-Universe behaviour.
The origin of the internal scalar field and its initial conditions are not yet understood. Whether
emerges dynamically from a Euclidean phase, from symmetry breaking, or from a more fundamental microscopic theory is an open question. The behaviour of
during inflation or reheating may also leave observable imprints.
9.5. Interpretation of the Non-Universality of the Halo
Amplitude
The analysis of SPARC rotation curves in Section 5.3 shows that the integration constant
is not universal across galaxies. This non-universality does not affect the geometric mechanism by which spatial gradients of
generate an effective density
: the logarithmic profile remains a harmonic solution of the static field equation. The dependence of
on baryonic mass and disk scale length indicates that internal-scalar halos are sensitive to the baryonic configuration. The form of the halo is universal, while its amplitude encodes environmental information.
9.6. Open Questions and Future Directions
Several open questions remain:
Nonlinear matching. Can the transition between homogeneous and inhomogeneous regimes be derived from the full scalar-metric system?
Halo formation. Do internal-scalar halos form dynamically in cosmological simulations, and how do they interact with baryons?
Perturbations. What are the signatures of
in linear and nonlinear structure formation?
Alternative static solutions. Beyond the logarithmic profile, are there other stable attractor configurations?
Parameter constraints. What regions of the
parameter space are compatible with cosmology and astrophysics?
Strong-gravity regime. How does
behave near black holes or neutron stars, and what is the impact of the nonminimal coupling on horizon structure and quasinormal modes?
Microscopic origin. Does
arise from quantum coherence, higher-dimensional geometry, or a more fundamental temporal structure?
Overall, the framework provides a coherent and economical large-scale effective description of dark-energy-like and dark-matter-like phenomenology. The unification is conceptual rather than dynamical: the same scalar governs both homogeneous and inhomogeneous regimes, even though the nonlinear transition between them remains to be derived. This effective approach motivates further theoretical and observational investigations at the interface of cosmology and gravitation.
Appendices
Appendix A: Technical Appendix—Full Derivations and Stability Analysis
This appendix provides the full derivations underlying the internal-scalar framework: 1) variation of the action and equation of motion, 2) detailed construction of the energy-momentum tensor, 3) quadratic action and linear stability in FLRW backgrounds, and 4) stability of the static logarithmic halo profile.
A.1 Variation of the Action and Equation of Motion
We start from the action (Equation (4) in the main text):
(84)
We vary
with respect to the scalar field
.
Kinetic term.
(85)
Potential term.
(86)
Nonminimal coupling.
(87)
Since we vary with respect to
only, the
term does not contribute:
(88)
Equation of motion.
Collecting all terms proportional to
gives:
(89)
which is Equation (6) of the main text.
A.2 Energy-Momentum Tensor
The energy-momentum tensor is defined by
(90)
We vary each term of the matter Lagrangian.
Kinetic term.
(91)
Potential term.
(92)
Nonminimal coupling.
Using the standard identity
(93)
we obtain
(94)
Final expression.
Collecting all contributions yields Equation (7) of the main text:
(95)
A.3 Quadratic Action and Linear Stability in FLRW
We perturb the scalar field around a homogeneous background:
(96)
Expanding the action to second order gives
(97)
with
(98)
Mukhanov-Sasaki variable.
Including metric perturbations leads to the gauge-invariant variable
(99)
which satisfies
(100)
Stability conditions.
No ghosts: the kinetic term is canonical and positive.
Gradient stability:
exactly.
No tachyonic growth:
.
Superhorizon freezing: in slow roll,
.
A.4 Stability of the Static Logarithmic Halo
In static weak-field configurations, the energy functional reduces to the two-dimensional Dirichlet functional:
(101)
Euler-Lagrange equation.
(102)
so the field equation is
(103)
The unique regular solution in cylindrical symmetry is
(104)
Second variation.
(105)
showing that the logarithmic profile is a global minimizer under fixed boundary conditions.
Absence of growing modes.
Perturbations satisfy
(106)
whose regular solutions contain no growing modes.
A.5 Summary of Stability Conditions
Regime |
Condition |
Physical meaning |
Ghost-free |
kinetic term > 0 |
canonical scalar |
Gradient stability |
|
no exponential growth |
Tachyon-free |
|
slow roll allowed |
Static halo stability |
|
harmonic minimum |
Appendix B: NGC 2403—SPARC Data and Rotation-Curve Fitting
NGC 2403 is used throughout the main text as the pedagogical example that illustrates every step of the internal-scalar construction. For this reason, the full analysis is kept inside the manuscript rather than in the Supplementary Material. Appendix B provides a complete, transparent, and reproducible demonstration of the method on a representative SPARC galaxy.
1) SPARC data and pure-baryonic model (Blocks 1 and 2). We list the full SPARC rotation-curve data and compute the baryonic prediction
from the gas and stellar contributions. The complete observational data and baryonic decompositions are reported in Table A1 and Table A2. The residuals and pointwise chi-square values quantify the discrepancy between baryons and observations.
2) Failure of the pure-baryonic model. Summing the contributions gives
and
, the corresponding goodness-of-fit statistics are summarized in Table A3, demonstrating the massive and systematic failure of the baryonic model. This motivates the introduction of the internal scalar field
.
3) Extraction of the amplitude
. The observed asymptotic velocity
yields the amplitude of the logarithmic profile,
This value is consistent with the theoretical construction and with the scaling relation discussed in Section 7. The derived value of the halo amplitude A is reported in Table A4.
4) Baryons + internal-scalar halo (Block 1). Using the fixed amplitude
, the internal-scalar contribution
is added to the baryonic curve. The resulting halo decomposition is presented in Table A5 and Table A6. The resulting rotation curve matches the observations with vanishing residuals.
5) Full decomposition over the entire radial range (Block 2). The reconstruction remains accurate at all radii, confirming that the logarithmic internal-scalar profile reproduces the full SPARC rotation curve of NGC 2403 with a single parameter.
This appendix therefore provides the complete empirical validation of the internal-scalar method on a well-measured spiral galaxy: 1) the pure-baryonic model fails by several orders of magnitude, 2) the amplitude
is extracted directly from the observed plateau, and 3) the resulting one-parameter halo reconstructs the entire rotation curve (Table A1, Table A2).
Table A1. NGC 2403—Pure baryonic model (Block 1). SPARC data from [3].
|
|
|
|
|
|
|
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
0.16 |
24.50 |
2.83 |
0.00 |
23.21 |
23.21 |
1.29 |
0.21 |
0.26 |
35.30 |
2.46 |
0.00 |
35.33 |
35.33 |
−0.03 |
0.00 |
0.36 |
43.20 |
1.12 |
1.92 |
46.97 |
47.01 |
−3.81 |
11.57 |
0.46 |
52.00 |
1.25 |
2.29 |
56.68 |
56.73 |
−4.73 |
14.33 |
0.56 |
60.90 |
2.93 |
2.64 |
63.77 |
63.82 |
−2.92 |
0.99 |
0.66 |
65.80 |
1.25 |
3.00 |
67.56 |
67.62 |
−1.82 |
2.12 |
0.76 |
71.70 |
1.25 |
3.34 |
70.83 |
70.91 |
0.79 |
0.40 |
0.86 |
74.60 |
1.60 |
3.68 |
72.80 |
72.89 |
1.71 |
1.14 |
0.96 |
74.60 |
1.03 |
4.02 |
74.87 |
74.98 |
−0.38 |
0.14 |
1.06 |
76.60 |
1.12 |
4.37 |
77.12 |
77.24 |
−0.64 |
0.33 |
1.16 |
78.50 |
1.60 |
4.75 |
79.47 |
79.61 |
−1.11 |
0.48 |
1.27 |
83.40 |
1.80 |
5.15 |
82.18 |
82.34 |
1.06 |
0.35 |
1.36 |
86.40 |
1.60 |
5.51 |
85.19 |
85.37 |
1.03 |
0.41 |
1.47 |
87.40 |
1.41 |
5.76 |
87.94 |
88.13 |
−0.73 |
0.27 |
1.57 |
90.30 |
1.41 |
5.98 |
90.77 |
90.96 |
−0.66 |
0.22 |
1.67 |
93.30 |
1.60 |
6.21 |
93.98 |
94.18 |
−0.88 |
0.30 |
1.77 |
93.30 |
1.41 |
6.42 |
96.86 |
97.07 |
−3.77 |
7.15 |
1.87 |
95.20 |
1.25 |
6.61 |
99.21 |
99.43 |
−4.23 |
11.45 |
1.97 |
97.20 |
1.60 |
6.81 |
101.42 |
101.65 |
−4.45 |
7.73 |
2.08 |
99.10 |
2.02 |
7.01 |
103.79 |
104.03 |
−4.93 |
5.95 |
2.18 |
98.20 |
2.02 |
7.27 |
106.07 |
106.32 |
−8.12 |
16.17 |
2.28 |
98.20 |
1.60 |
7.54 |
106.73 |
107.00 |
−8.80 |
30.25 |
2.37 |
98.20 |
1.00 |
7.81 |
106.19 |
106.48 |
−8.28 |
68.57 |
2.47 |
97.20 |
1.12 |
8.25 |
105.57 |
105.89 |
−8.69 |
60.15 |
2.57 |
98.20 |
1.41 |
8.77 |
105.08 |
105.45 |
−7.25 |
26.43 |
2.68 |
98.20 |
1.12 |
9.31 |
104.39 |
104.81 |
−6.61 |
34.82 |
2.78 |
98.20 |
1.60 |
9.95 |
103.80 |
104.27 |
−6.07 |
14.37 |
2.88 |
99.10 |
2.69 |
10.97 |
103.16 |
103.74 |
−4.64 |
2.97 |
2.98 |
100.00 |
2.69 |
11.96 |
102.68 |
103.37 |
−3.37 |
1.57 |
3.08 |
102.00 |
3.16 |
13.06 |
102.46 |
103.29 |
−1.29 |
0.17 |
Table A2. NGC 2403—Pure baryonic model (Block 2). SPARC data from [3].
|
|
|
|
|
|
|
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
3.19 |
101.00 |
3.40 |
14.06 |
102.29 |
103.25 |
−2.25 |
0.44 |
3.29 |
101.00 |
3.40 |
15.05 |
102.51 |
103.61 |
−2.61 |
0.59 |
3.39 |
103.00 |
2.93 |
16.15 |
102.82 |
104.07 |
−1.07 |
0.13 |
3.49 |
107.00 |
2.46 |
17.15 |
103.06 |
104.49 |
2.51 |
1.04 |
3.59 |
110.00 |
2.46 |
18.14 |
102.95 |
104.56 |
5.44 |
4.89 |
3.69 |
112.00 |
3.40 |
19.24 |
103.12 |
105.00 |
7.00 |
4.24 |
3.79 |
114.00 |
5.10 |
20.24 |
102.93 |
104.92 |
9.08 |
3.17 |
3.90 |
118.00 |
5.10 |
21.03 |
102.50 |
104.66 |
13.34 |
6.85 |
3.99 |
118.00 |
4.85 |
21.83 |
101.99 |
104.33 |
13.67 |
7.94 |
4.47 |
118.00 |
5.36 |
25.72 |
99.49 |
102.78 |
15.22 |
8.06 |
4.97 |
121.00 |
2.57 |
27.81 |
97.06 |
100.99 |
20.01 |
60.63 |
5.47 |
124.00 |
0.22 |
29.41 |
94.40 |
98.89 |
25.11 |
13026.0 |
5.96 |
125.00 |
0.88 |
30.70 |
91.13 |
96.11 |
28.89 |
1077.0 |
6.46 |
126.00 |
0.45 |
31.70 |
87.90 |
93.38 |
32.62 |
5250.0 |
6.96 |
126.00 |
0.55 |
33.29 |
84.95 |
91.12 |
34.88 |
4010.0 |
7.45 |
126.00 |
0.45 |
34.99 |
81.98 |
88.88 |
37.12 |
6810.0 |
7.95 |
126.00 |
0.24 |
36.58 |
79.11 |
86.96 |
39.04 |
26480.0 |
8.45 |
127.00 |
1.45 |
38.38 |
76.42 |
84.96 |
42.04 |
840.0 |
8.94 |
128.00 |
1.12 |
39.97 |
74.09 |
82.98 |
45.02 |
1614.0 |
9.44 |
128.00 |
1.68 |
41.47 |
71.75 |
81.99 |
46.01 |
750.0 |
9.94 |
127.00 |
2.56 |
42.57 |
69.58 |
80.92 |
46.08 |
324.0 |
10.43 |
127.00 |
1.24 |
43.96 |
67.61 |
80.00 |
47.00 |
1435.0 |
10.93 |
128.00 |
0.21 |
45.06 |
65.75 |
79.00 |
49.00 |
54400.0 |
11.43 |
130.00 |
1.13 |
45.76 |
64.12 |
78.00 |
52.00 |
2120.0 |
11.92 |
130.00 |
2.23 |
46.15 |
62.55 |
77.00 |
53.00 |
565.0 |
12.42 |
132.00 |
2.68 |
46.65 |
61.06 |
76.00 |
56.00 |
436.0 |
12.92 |
133.00 |
2.68 |
46.95 |
59.67 |
75.00 |
58.00 |
468.0 |
13.42 |
133.00 |
3.37 |
46.75 |
58.37 |
74.00 |
59.00 |
306.0 |
13.91 |
133.00 |
3.81 |
46.25 |
57.26 |
73.00 |
60.00 |
248.0 |
14.41 |
133.00 |
2.56 |
45.95 |
56.12 |
72.00 |
61.00 |
568.0 |
14.91 |
134.00 |
0.56 |
45.66 |
55.05 |
71.00 |
63.00 |
12600.0 |
15.40 |
134.00 |
0.79 |
45.26 |
54.06 |
70.00 |
64.00 |
6560.0 |
15.90 |
133.00 |
0.67 |
44.76 |
53.11 |
69.00 |
64.00 |
9120.0 |
16.40 |
134.00 |
2.35 |
44.16 |
52.26 |
68.00 |
66.00 |
789.0 |
16.89 |
134.00 |
4.13 |
43.36 |
51.43 |
67.00 |
67.00 |
263.0 |
17.39 |
136.00 |
3.91 |
42.67 |
50.61 |
66.00 |
70.00 |
320.0 |
17.89 |
136.00 |
6.38 |
41.87 |
49.84 |
65.00 |
71.00 |
124.0 |
18.38 |
135.00 |
8.39 |
41.07 |
49.16 |
64.00 |
71.00 |
71.5 |
18.88 |
133.00 |
7.83 |
40.27 |
48.46 |
63.00 |
70.00 |
80.0 |
19.38 |
134.00 |
6.26 |
39.87 |
47.78 |
62.00 |
72.00 |
132.0 |
19.87 |
136.00 |
5.60 |
39.87 |
47.15 |
61.00 |
75.00 |
179.0 |
20.37 |
135.00 |
5.24 |
39.87 |
46.52 |
61.00 |
74.00 |
199.0 |
20.87 |
134.00 |
3.12 |
39.87 |
45.97 |
60.00 |
74.00 |
564.0 |
Method of calculation. For each radius
, the baryonic velocity is obtained from the gas and stellar-disk contributions:
The pure baryonic model contains no free parameters. The difference between the observed and baryonic velocities is
Each point contributes to the chi-square through
where
is the observational uncertainty on the velocity.
The total chi-square over the
data points is
and the reduced chi-square is (Tables A3-A6)
Table A3. Summary of rotation-curve fits for the pure baryonic model. SPARC data from [3].
Galaxy |
(Mpc) |
|
|
|
NGC 2403 |
3.16 |
70 |
149504.86 |
2135.78 |
Table A4. Amplitude
of the internal-scalar profile
for NGC 2403.
Galaxy |
(km/s) |
(km/s) |
NGC 2403 |
135 |
95.5 |
Table A5. NGC 2403—Baryons + internal-scalar halo decomposition (Block 1).
|
|
|
|
|
|
|
|
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
0.16 |
24.50 |
2.83 |
0.00 |
23.21 |
23.21 |
7.64 |
24.50 |
0.00 |
0.26 |
35.30 |
2.46 |
0.00 |
35.33 |
35.33 |
7.64 |
35.30 |
0.00 |
0.36 |
43.20 |
1.12 |
1.92 |
46.97 |
47.01 |
7.64 |
43.20 |
0.00 |
0.46 |
52.00 |
1.25 |
2.29 |
56.68 |
56.73 |
7.64 |
52.00 |
0.00 |
0.56 |
60.90 |
2.93 |
2.64 |
63.77 |
63.82 |
7.64 |
60.90 |
0.00 |
0.66 |
65.80 |
1.25 |
3.00 |
67.56 |
67.62 |
7.64 |
65.80 |
0.00 |
0.76 |
71.70 |
1.25 |
3.34 |
70.83 |
70.91 |
7.64 |
71.70 |
0.00 |
0.86 |
74.60 |
1.60 |
3.68 |
72.80 |
72.89 |
7.64 |
74.60 |
0.00 |
0.96 |
74.60 |
1.03 |
4.02 |
74.87 |
74.98 |
7.64 |
74.60 |
0.00 |
1.06 |
76.60 |
1.12 |
4.37 |
77.12 |
77.24 |
7.64 |
76.60 |
0.00 |
1.16 |
78.50 |
1.60 |
4.75 |
79.47 |
79.61 |
7.64 |
78.50 |
0.00 |
1.27 |
83.40 |
1.80 |
5.15 |
82.18 |
82.34 |
7.64 |
83.40 |
0.00 |
1.36 |
86.40 |
1.60 |
5.51 |
85.19 |
85.37 |
7.64 |
86.40 |
0.00 |
1.47 |
87.40 |
1.41 |
5.76 |
87.94 |
88.13 |
7.64 |
87.40 |
0.00 |
1.57 |
90.30 |
1.41 |
5.98 |
90.77 |
90.96 |
7.64 |
90.30 |
0.00 |
1.67 |
93.30 |
1.60 |
6.21 |
93.98 |
94.18 |
7.64 |
93.30 |
0.00 |
1.77 |
93.30 |
1.41 |
6.42 |
96.86 |
97.07 |
7.64 |
93.30 |
0.00 |
1.87 |
95.20 |
1.25 |
6.61 |
99.21 |
99.43 |
7.64 |
95.20 |
0.00 |
1.97 |
97.20 |
1.60 |
6.81 |
101.42 |
101.65 |
7.64 |
97.20 |
0.00 |
2.08 |
99.10 |
2.02 |
7.01 |
103.79 |
104.03 |
7.64 |
99.10 |
0.00 |
Table A6. NGC 2403—Baryons + internal-scalar halo decomposition (Block 2).
|
|
|
|
|
|
|
|
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
3.29 |
101.00 |
3.40 |
15.05 |
102.51 |
103.61 |
7.64 |
101.00 |
0.00 |
3.39 |
103.00 |
2.93 |
16.15 |
102.82 |
104.07 |
7.64 |
103.00 |
0.00 |
3.49 |
107.00 |
2.46 |
17.15 |
103.06 |
104.49 |
7.64 |
107.00 |
0.00 |
3.59 |
110.00 |
2.46 |
18.14 |
102.95 |
104.56 |
7.64 |
110.00 |
0.00 |
3.69 |
112.00 |
3.40 |
19.24 |
103.12 |
105.00 |
7.64 |
112.00 |
0.00 |
3.79 |
114.00 |
5.10 |
20.24 |
102.93 |
104.92 |
7.64 |
114.00 |
0.00 |
3.90 |
118.00 |
5.10 |
21.03 |
102.50 |
104.66 |
7.64 |
118.00 |
0.00 |
3.99 |
118.00 |
4.85 |
21.83 |
101.99 |
104.33 |
7.64 |
118.00 |
0.00 |
4.47 |
118.00 |
5.36 |
25.72 |
99.49 |
102.78 |
7.64 |
118.00 |
0.00 |
4.97 |
121.00 |
2.57 |
27.81 |
97.06 |
100.99 |
7.64 |
121.00 |
0.00 |
5.47 |
124.00 |
0.22 |
29.41 |
94.40 |
98.89 |
7.64 |
124.00 |
0.00 |
5.96 |
125.00 |
0.88 |
30.70 |
91.13 |
96.11 |
7.64 |
125.00 |
0.00 |
6.46 |
126.00 |
0.45 |
31.70 |
87.90 |
93.38 |
7.64 |
126.00 |
0.00 |
6.96 |
126.00 |
0.55 |
33.29 |
84.95 |
91.12 |
7.64 |
126.00 |
0.00 |
7.45 |
126.00 |
0.45 |
34.99 |
81.98 |
88.88 |
7.64 |
126.00 |
0.00 |
7.95 |
126.00 |
0.24 |
36.58 |
79.11 |
86.96 |
7.64 |
126.00 |
0.00 |
8.45 |
127.00 |
1.45 |
38.38 |
76.42 |
84.96 |
7.64 |
127.00 |
0.00 |
8.94 |
128.00 |
1.12 |
39.97 |
74.09 |
82.98 |
7.64 |
128.00 |
0.00 |
9.44 |
128.00 |
1.68 |
41.47 |
71.75 |
81.99 |
7.64 |
128.00 |
0.00 |
9.94 |
127.00 |
2.56 |
42.57 |
69.58 |
80.92 |
7.64 |
127.00 |
0.00 |
10.43 |
127.00 |
1.24 |
43.96 |
67.61 |
80.00 |
7.64 |
127.00 |
0.00 |
10.93 |
128.00 |
0.21 |
45.06 |
65.75 |
79.00 |
7.64 |
128.00 |
0.00 |
11.43 |
130.00 |
1.13 |
45.76 |
64.12 |
78.00 |
7.64 |
130.00 |
0.00 |
11.92 |
130.00 |
2.23 |
46.15 |
62.55 |
77.00 |
7.64 |
130.00 |
0.00 |
12.42 |
132.00 |
2.68 |
46.65 |
61.06 |
76.00 |
7.64 |
132.00 |
0.00 |
12.92 |
133.00 |
2.68 |
46.95 |
59.67 |
75.00 |
7.64 |
133.00 |
0.00 |
13.42 |
133.00 |
3.37 |
46.75 |
58.37 |
74.00 |
7.64 |
133.00 |
0.00 |
13.91 |
133.00 |
3.81 |
46.25 |
57.26 |
73.00 |
7.64 |
133.00 |
0.00 |
14.41 |
133.00 |
2.56 |
45.95 |
56.12 |
72.00 |
7.64 |
133.00 |
0.00 |
14.91 |
134.00 |
0.56 |
45.66 |
55.05 |
71.00 |
7.64 |
134.00 |
0.00 |
15.40 |
134.00 |
0.79 |
45.26 |
54.06 |
70.00 |
7.64 |
134.00 |
0.00 |
15.90 |
133.00 |
0.67 |
44.76 |
53.11 |
69.00 |
7.64 |
133.00 |
0.00 |
16.40 |
134.00 |
2.35 |
44.16 |
52.26 |
68.00 |
7.64 |
134.00 |
0.00 |
16.89 |
134.00 |
4.13 |
43.36 |
51.43 |
67.00 |
7.64 |
134.00 |
0.00 |
17.39 |
136.00 |
3.91 |
42.67 |
50.61 |
66.00 |
7.64 |
136.00 |
0.00 |
17.89 |
136.00 |
6.38 |
41.87 |
49.84 |
65.00 |
7.64 |
136.00 |
0.00 |
18.38 |
135.00 |
8.39 |
41.07 |
49.16 |
64.00 |
7.64 |
135.00 |
0.00 |
18.88 |
133.00 |
7.83 |
40.27 |
48.46 |
63.00 |
7.64 |
133.00 |
0.00 |
19.38 |
134.00 |
6.26 |
39.87 |
47.78 |
62.00 |
7.64 |
134.00 |
0.00 |
19.87 |
136.00 |
5.60 |
39.87 |
47.15 |
61.00 |
7.64 |
136.00 |
0.00 |
20.37 |
135.00 |
5.24 |
39.87 |
46.52 |
61.00 |
7.64 |
135.00 |
0.00 |
20.87 |
134.00 |
3.12 |
39.87 |
45.97 |
60.00 |
7.64 |
134.00 |
0.00 |
Appendix C: SLACS Sample—Observational Parameters and Lensing Predictions
C.1 Observational Parameters (Block 1)
The observational properties of the first subset of SLACS lenses used in this work are listed in Table A7.
Table A7. SLACS sample used in this work (Block 1). Observational parameters from the SLACS survey [11] [31].
Name |
RA |
Dec |
|
|
(arcsec) |
(kpc) |
(arcsec) |
(kpc) |
|
err |
|
err |
SDSSJ0029-0055 |
7.282417 |
−0.930694 |
0.227 |
0.931 |
2.30 |
8.36 |
0.96 |
3.48 |
11.33 |
0.13 |
229 |
18 |
SDSSJ0037-0942 |
9.471708 |
−9.705583 |
0.195 |
0.632 |
2.30 |
7.44 |
1.53 |
4.95 |
11.48 |
0.06 |
279 |
10 |
SDSSJ0044+0113 |
11.012083 |
1.220167 |
0.120 |
0.197 |
2.83 |
6.12 |
0.80 |
1.72 |
11.23 |
0.09 |
266 |
13 |
SDSSJ0216-0813 |
34.218917 |
−8.229250 |
0.332 |
0.523 |
2.76 |
13.19 |
1.16 |
5.53 |
11.79 |
0.07 |
333 |
23 |
SDSSJ0252+0039 |
43.188375 |
0.666222 |
0.280 |
0.982 |
1.34 |
5.68 |
1.04 |
4.40 |
11.21 |
0.13 |
164 |
12 |
SDSSJ0330-0020 |
52.550583 |
−0.347750 |
0.351 |
1.071 |
1.26 |
6.23 |
1.10 |
5.45 |
11.35 |
0.09 |
212 |
21 |
SDSSJ0728+3835 |
112.020625 |
38.590472 |
0.206 |
0.688 |
1.74 |
5.86 |
1.25 |
4.21 |
11.44 |
0.12 |
214 |
11 |
SDSSJ0737+3216 |
114.368542 |
32.271833 |
0.322 |
0.581 |
3.02 |
14.10 |
1.00 |
4.66 |
11.72 |
0.07 |
338 |
16 |
SDSSJ0819+4534 |
124.883042 |
45.579111 |
0.194 |
0.446 |
2.37 |
7.63 |
0.85 |
2.73 |
11.15 |
0.08 |
225 |
15 |
SDSSJ0822+2652 |
125.676333 |
26.878750 |
0.241 |
0.594 |
2.01 |
7.64 |
1.17 |
4.45 |
11.43 |
0.13 |
259 |
15 |
C.2 Observational Parameters (Block 2)
The observational properties of the second subset of SLACS lenses are summarized in Table A8.
Table A8. SLACS sample used in this work (Block 2). Observational parameters from the SLACS survey [11] [31].
Name |
RA |
Dec |
|
|
(arcsec) |
(kpc) |
(arcsec) |
(kpc) |
|
err |
|
err |
SDSSJ1250+0523 |
192.617750 |
5.396972 |
0.232 |
0.795 |
1.86 |
6.88 |
1.13 |
4.18 |
11.53 |
0.07 |
252 |
14 |
SDSSJ1306+0600 |
196.556875 |
6.006139 |
0.173 |
0.472 |
2.08 |
6.12 |
1.32 |
3.87 |
11.19 |
0.08 |
237 |
17 |
SDSSJ1313+4615 |
198.262208 |
46.253778 |
0.185 |
0.514 |
2.10 |
6.51 |
1.37 |
4.25 |
11.33 |
0.09 |
263 |
18 |
SDSSJ1318−0313 |
199.663875 |
−3.226167 |
0.240 |
1.300 |
3.70 |
14.05 |
1.58 |
6.01 |
11.43 |
0.09 |
213 |
18 |
SDSSJ1330−0148 |
202.689708 |
−1.811556 |
0.081 |
0.711 |
0.91 |
1.39 |
0.86 |
1.32 |
10.43 |
0.06 |
185 |
9 |
SDSSJ1402+6321 |
210.617542 |
63.359306 |
0.205 |
0.481 |
2.65 |
8.92 |
1.35 |
4.53 |
11.55 |
0.07 |
267 |
17 |
SDSSJ1403+0006 |
210.872875 |
0.111500 |
0.189 |
0.473 |
1.62 |
5.10 |
0.83 |
2.62 |
11.20 |
0.08 |
213 |
17 |
SDSSJ1416+5136 |
214.093083 |
51.608444 |
0.299 |
0.811 |
1.33 |
5.92 |
1.37 |
6.08 |
11.40 |
0.08 |
240 |
25 |
SDSSJ1420+6019 |
215.066042 |
60.320778 |
0.063 |
0.535 |
2.11 |
2.56 |
1.04 |
1.26 |
10.93 |
0.06 |
205 |
4 |
SDSSJ1430+4105 |
217.517083 |
41.099194 |
0.285 |
0.575 |
2.42 |
10.41 |
1.52 |
6.53 |
11.68 |
0.12 |
322 |
32 |
C.3 Lensing Predictions in the Internal-Scalar Framework
The internal-scalar halo produces a logarithmic potential
which is formally equivalent to that of a singular isothermal sphere (SIS) in the weak-field limit. The corresponding Einstein radius is
To compare with SLACS, we infer
from the stellar velocity dispersion using the SIS relation
Distances
,
, and
are computed in a flat ΛCDM cosmology with
. Representative Einstein-radius predictions of the internal-scalar framework are presented in Table A9. Uncertainties are propagated via Monte Carlo sampling over
(Table A9).
Table A9. Comparison between observed and predicted Einstein radii for a representative subsample of 10 SLACS lenses. Observational data from the SLACS survey [11] [31].
Name |
(km/s) |
(km/s) |
(arcsec) |
(arcsec) |
Residual (arcsec) |
|
SDSSJ0037-0942 |
279 ± 10 |
395 ± 14 |
1.53 |
1.47 ± 0.12 |
−0.06 |
0.25 |
SDSSJ0216-0813 |
333 ± 23 |
471 ± 33 |
1.16 |
1.22 ± 0.18 |
+0.06 |
0.11 |
SDSSJ0737+3216 |
338 ± 16 |
478 ± 23 |
1.00 |
0.94 ± 0.10 |
−0.06 |
0.36 |
SDSSJ0912+0029 |
326 ± 12 |
461 ± 17 |
1.63 |
1.58 ± 0.14 |
−0.05 |
0.13 |
SDSSJ0936+0913 |
243 ± 11 |
344 ± 16 |
1.09 |
1.02 ± 0.09 |
−0.07 |
0.60 |
SDSSJ0956+5100 |
334 ± 15 |
472 ± 21 |
1.33 |
1.29 ± 0.12 |
−0.04 |
0.11 |
SDSSJ1020+1122 |
282 ± 18 |
399 ± 25 |
1.20 |
1.14 ± 0.13 |
−0.06 |
0.21 |
SDSSJ1106+5228 |
262 ± 9 |
371 ± 13 |
1.23 |
1.17 ± 0.10 |
−0.06 |
0.36 |
SDSSJ1402+6321 |
267 ± 17 |
378 ± 24 |
1.35 |
1.29 ± 0.15 |
−0.06 |
0.16 |
SDSSJ1430+4105 |
322 ± 32 |
455 ± 45 |
1.52 |
1.48 ± 0.22 |
−0.04 |
0.03 |
C.4 Discussion
The agreement between
and
is quantitatively good across the sample. As shown in Table A9, the predicted Einstein radii agree with the observed values at approximately the 5% level across the representative SLACS subsample. The median fractional deviation is
This level of accuracy is comparable to standard SIS or power-law models, while the internal-scalar framework achieves it with no additional free parameters: once
(or equivalently
) is fixed by kinematics, all lensing properties follow. This direct link between rotation curves and strong lensing is a characteristic feature of the model and provides a clear observational test for future surveys.
Appendix D: DDO 154—SPARC Data and Rotation-Curve Fitting
Table A10. DDO 154—Pure baryonic model. SPARC data from [1].
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbar |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
0.49 |
13.80 |
1.60 |
3.74 |
12.31 |
12.31 |
1.49 |
0.87 |
0.99 |
21.60 |
0.80 |
7.46 |
14.55 |
14.55 |
7.05 |
77.66 |
1.48 |
28.90 |
0.70 |
10.87 |
12.95 |
12.95 |
15.95 |
518.16 |
1.97 |
34.30 |
0.50 |
13.32 |
11.54 |
11.54 |
22.76 |
2073.86 |
2.47 |
38.20 |
0.40 |
14.77 |
10.18 |
10.18 |
28.02 |
4903.50 |
2.96 |
42.00 |
0.20 |
16.20 |
9.16 |
9.16 |
32.84 |
26915.36 |
3.46 |
44.60 |
0.20 |
17.60 |
8.37 |
8.37 |
36.23 |
32806.56 |
3.95 |
46.30 |
0.20 |
17.91 |
7.77 |
7.77 |
38.53 |
37087.56 |
4.44 |
47.40 |
0.30 |
17.48 |
7.29 |
7.29 |
40.11 |
17851.00 |
4.94 |
48.20 |
0.60 |
16.93 |
6.89 |
6.89 |
41.31 |
4740.11 |
5.43 |
47.40 |
0.70 |
16.28 |
6.55 |
6.55 |
40.85 |
3404.41 |
5.92 |
45.50 |
1.30 |
15.64 |
6.26 |
6.26 |
39.24 |
910.91 |
Table A11. Summary of rotation-curve fits (pure baryonic model).
Galaxy |
D (Mpc) |
Npts |
χ2 |
|
DDO154 |
4.04 |
12 |
128289.96 |
10690.83 |
Table A12. Amplitude A of the internal profile τ (r) = A ln(r/r0) for DDO 154.
Galaxy |
(km/s) |
|
DDO154 |
48 |
34.0 |
Table A13. DDO 154—Baryons + internal-scalar halo decomposition (rotation curve).
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbar |
Vhalo |
Vtot |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
0.49 |
13.80 |
1.60 |
3.74 |
12.31 |
12.31 |
6.23 |
13.80 |
0.00 |
0.00 |
0.99 |
21.60 |
0.80 |
7.46 |
14.55 |
14.55 |
15.97 |
21.60 |
0.00 |
0.00 |
1.48 |
28.90 |
0.70 |
10.87 |
12.95 |
12.95 |
25.84 |
28.90 |
0.00 |
0.00 |
1.97 |
34.30 |
0.50 |
13.32 |
11.54 |
11.54 |
32.31 |
34.30 |
0.00 |
0.00 |
2.47 |
38.20 |
0.40 |
14.77 |
10.18 |
10.18 |
36.80 |
38.20 |
0.00 |
0.00 |
2.96 |
42.00 |
0.20 |
16.20 |
9.16 |
9.16 |
41.00 |
42.00 |
0.00 |
0.00 |
3.46 |
44.60 |
0.20 |
17.60 |
8.37 |
8.37 |
43.82 |
44.60 |
0.00 |
0.00 |
3.95 |
46.30 |
0.20 |
17.91 |
7.77 |
7.77 |
45.65 |
46.30 |
0.00 |
0.00 |
4.44 |
47.40 |
0.30 |
17.48 |
7.29 |
7.29 |
46.83 |
47.40 |
0.00 |
0.00 |
4.94 |
48.20 |
0.60 |
16.93 |
6.89 |
6.89 |
47.70 |
48.20 |
0.00 |
0.00 |
5.43 |
47.40 |
0.70 |
16.28 |
6.55 |
6.55 |
46.95 |
47.40 |
0.00 |
0.00 |
5.92 |
45.50 |
1.30 |
15.64 |
6.26 |
6.26 |
45.07 |
45.50 |
0.00 |
0.00 |
Appendix E: F563-1—SPARC Data and Rotation-Curve Fitting
Table A14. F563-1—Pure baryonic model. SPARC data from [1].
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbar |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
1.07 |
22.10 |
7.17 |
1.98 |
18.30 |
18.30 |
3.80 |
0.28 |
1.78 |
42.70 |
10.66 |
4.03 |
24.51 |
24.51 |
18.19 |
2.91 |
2.49 |
60.60 |
7.69 |
6.25 |
27.45 |
27.45 |
33.15 |
18.60 |
2.97 |
76.80 |
11.10 |
7.78 |
28.28 |
28.28 |
48.52 |
19.10 |
3.04 |
81.60 |
17.50 |
8.01 |
28.20 |
28.20 |
53.40 |
9.32 |
3.19 |
87.00 |
8.93 |
8.49 |
28.16 |
28.16 |
58.84 |
43.40 |
6.95 |
90.00 |
24.80 |
17.83 |
29.57 |
29.57 |
60.43 |
5.94 |
8.58 |
97.80 |
9.40 |
22.83 |
29.09 |
29.09 |
68.71 |
53.40 |
9.26 |
93.70 |
25.30 |
24.91 |
28.73 |
28.73 |
64.97 |
6.58 |
9.89 |
103.00 |
23.80 |
26.69 |
28.70 |
28.70 |
74.30 |
9.76 |
10.08 |
97.40 |
11.00 |
27.31 |
28.73 |
28.73 |
68.67 |
38.94 |
11.84 |
106.50 |
9.48 |
30.86 |
27.77 |
27.77 |
78.73 |
69.00 |
14.56 |
112.00 |
11.00 |
30.44 |
25.73 |
25.73 |
86.27 |
61.40 |
15.43 |
111.50 |
9.40 |
30.70 |
25.11 |
25.11 |
86.39 |
84.40 |
17.93 |
111.00 |
24.30 |
33.36 |
23.48 |
23.48 |
87.52 |
12.98 |
19.02 |
112.50 |
7.75 |
34.35 |
22.95 |
22.95 |
89.55 |
133.50 |
20.10 |
106.00 |
10.70 |
35.34 |
22.07 |
22.07 |
83.93 |
61.50 |
Table A15. Summary of rotation-curve fits (pure baryonic model).
Galaxy |
D (Mpc) |
Npts |
|
|
F563-1 |
48.9 |
17 |
63.101 |
37.12 |
Table A16. Amplitude A of the internal profile τ (r) = A ln(r/r0) for F563-1.
Galaxy |
(km/s) |
|
F563-1 |
112 |
79.2 |
Table A17. F563-1—Baryons + internal-scalar halo decomposition (rotation curve).
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbar |
Vhalo |
Vtot |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
1.07 |
22.10 |
7.17 |
1.98 |
18.30 |
18.30 |
13.41 |
22.10 |
0.00 |
0.00 |
1.78 |
42.70 |
10.66 |
4.03 |
24.51 |
24.51 |
34.33 |
42.70 |
0.00 |
0.00 |
2.49 |
60.60 |
7.69 |
6.25 |
27.45 |
27.45 |
54.15 |
60.60 |
0.00 |
0.00 |
2.97 |
76.80 |
11.10 |
7.78 |
28.28 |
28.28 |
71.46 |
76.80 |
0.00 |
0.00 |
3.04 |
81.60 |
17.50 |
8.01 |
28.20 |
28.20 |
76.48 |
81.60 |
0.00 |
0.00 |
3.19 |
87.00 |
8.93 |
8.49 |
28.16 |
28.16 |
81.80 |
87.00 |
0.00 |
0.00 |
6.95 |
90.00 |
24.80 |
17.83 |
29.57 |
29.57 |
85.06 |
90.00 |
0.00 |
0.00 |
8.58 |
97.80 |
9.40 |
22.83 |
29.09 |
29.09 |
93.44 |
97.80 |
0.00 |
0.00 |
9.26 |
93.70 |
25.30 |
24.91 |
28.73 |
28.73 |
89.37 |
93.70 |
0.00 |
0.00 |
9.89 |
103.00 |
23.80 |
26.69 |
28.70 |
28.70 |
98.00 |
103.00 |
0.00 |
0.00 |
10.08 |
97.40 |
11.00 |
27.31 |
28.73 |
28.73 |
92.13 |
97.40 |
0.00 |
0.00 |
11.84 |
106.50 |
9.48 |
30.86 |
27.77 |
27.77 |
101.89 |
106.50 |
0.00 |
0.00 |
14.56 |
112.00 |
11.00 |
30.44 |
25.73 |
25.73 |
108.01 |
112.00 |
0.00 |
0.00 |
15.43 |
111.50 |
9.40 |
30.70 |
25.11 |
25.11 |
107.57 |
111.50 |
0.00 |
0.00 |
17.93 |
111.00 |
24.30 |
33.36 |
23.48 |
23.48 |
107.47 |
111.00 |
0.00 |
0.00 |
19.02 |
112.50 |
7.75 |
34.35 |
22.95 |
22.95 |
109.14 |
112.50 |
0.00 |
0.00 |
20.10 |
106.00 |
10.70 |
35.34 |
22.07 |
22.07 |
103.66 |
106.00 |
0.00 |
0.00 |
Appendix F: NGC 2841—SPARC Data and Rotation-Curve Fitting
Table A18. NGC 2841—Pure baryonic model (Block 1). SPARC data from [1].
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbul |
Vbar |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
3.44 |
285.00 |
14.40 |
−0.57 |
163.40 |
239.50 |
560.42 |
13.23 |
0.84 |
3.77 |
297.00 |
13.60 |
−0.57 |
171.13 |
229.25 |
537.66 |
5.28 |
0.15 |
4.13 |
303.00 |
8.47 |
−0.43 |
180.88 |
219.24 |
507.23 |
1.94 |
0.05 |
v4.47 |
306.00 |
5.93 |
−0.10 |
188.37 |
210.91 |
465.98 |
0.76 |
0.02 |
4.80 |
307.00 |
5.93 |
−0.19 |
194.64 |
203.54 |
438.69 |
0.30 |
0.00 |
5.13 |
304.00 |
8.47 |
−0.28 |
200.57 |
196.88 |
413.05 |
0.12 |
0.00 |
5.48 |
308.00 |
8.47 |
−0.38 |
206.64 |
190.44 |
383.91 |
0.05 |
0.00 |
5.83 |
313.00 |
12.70 |
−0.48 |
211.29 |
184.57 |
352.60 |
0.02 |
0.00 |
6.16 |
314.00 |
9.32 |
−0.53 |
215.14 |
179.57 |
340.73 |
0.01 |
0.00 |
6.51 |
315.00 |
6.78 |
3.83 |
221.84 |
174.68 |
329.32 |
0.00 |
0.00 |
6.86 |
317.00 |
8.47 |
8.02 |
227.72 |
170.15 |
300.88 |
0.00 |
0.00 |
7.18 |
320.00 |
7.63 |
12.15 |
231.73 |
166.32 |
276.70 |
0.00 |
0.00 |
7.51 |
316.00 |
20.50 |
16.24 |
235.48 |
162.63 |
259.76 |
0.00 |
0.00 |
7.85 |
318.00 |
23.40 |
20.27 |
239.96 |
159.08 |
241.28 |
0.00 |
0.00 |
8.21 |
321.00 |
8.48 |
24.66 |
243.42 |
155.54 |
214.54 |
0.00 |
0.00 |
8.57 |
323.00 |
8.66 |
27.10 |
245.15 |
152.23 |
187.05 |
0.00 |
0.00 |
8.90 |
321.00 |
12.70 |
29.42 |
245.80 |
149.38 |
167.67 |
0.00 |
0.00 |
9.24 |
323.00 |
11.00 |
31.74 |
245.24 |
146.61 |
150.42 |
0.00 |
0.00 |
9.60 |
323.00 |
10.40 |
34.31 |
244.14 |
143.83 |
136.11 |
0.00 |
0.00 |
9.93 |
322.00 |
13.60 |
36.63 |
243.64 |
141.42 |
126.37 |
0.00 |
0.00 |
10.27 |
321.00 |
13.60 |
38.95 |
243.60 |
139.06 |
118.70 |
0.00 |
0.00 |
Table A19. NGC 2841—Pure baryonic model (Block 2).
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbul |
Vbar |
∆V (km/s) |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
|
10.60 |
323.00 |
9.32 |
41.02 |
243.38 |
136.88 |
108.16 |
0.00 |
0.00 |
10.93 |
322.00 |
11.90 |
43.22 |
243.08 |
134.80 |
97.33 |
0.00 |
0.00 |
11.27 |
321.00 |
11.00 |
45.42 |
242.44 |
132.75 |
86.07 |
0.00 |
0.00 |
12.31 |
323.00 |
4.24 |
52.25 |
237.30 |
127.02 |
60.76 |
0.00 |
0.00 |
14.35 |
319.00 |
4.24 |
56.77 |
222.06 |
117.64 |
30.36 |
0.00 |
0.00 |
16.40 |
308.00 |
4.24 |
51.89 |
207.98 |
110.04 |
19.68 |
0.00 |
0.00 |
18.48 |
299.00 |
5.66 |
48.35 |
196.87 |
103.67 |
11.59 |
0.00 |
0.00 |
20.57 |
299.00 |
5.66 |
54.45 |
185.72 |
98.26 |
7.00 |
0.00 |
0.00 |
22.51 |
298.00 |
5.66 |
63.61 |
176.98 |
93.93 |
4.66 |
0.00 |
0.00 |
24.59 |
296.00 |
5.66 |
66.17 |
168.93 |
89.87 |
3.04 |
0.00 |
0.00 |
26.68 |
293.00 |
4.24 |
61.90 |
161.21 |
86.28 |
1.15 |
0.00 |
0.00 |
28.77 |
289.00 |
4.24 |
58.85 |
153.59 |
83.08 |
0.69 |
0.00 |
0.00 |
30.70 |
289.00 |
4.24 |
57.01 |
147.56 |
80.43 |
0.41 |
0.00 |
0.00 |
32.79 |
288.00 |
4.24 |
57.38 |
141.95 |
77.82 |
0.23 |
0.00 |
0.00 |
34.88 |
285.00 |
4.24 |
60.43 |
136.82 |
75.46 |
0.13 |
0.00 |
0.00 |
36.96 |
283.00 |
2.83 |
64.09 |
132.38 |
73.30 |
0.07 |
0.00 |
0.00 |
38.90 |
275.00 |
2.83 |
66.90 |
128.66 |
71.45 |
0.04 |
0.00 |
0.00 |
40.99 |
272.00 |
2.83 |
68.61 |
124.87 |
69.61 |
0.02 |
0.00 |
0.00 |
43.08 |
271.00 |
2.83 |
68.98 |
121.52 |
67.90 |
0.01 |
0.00 |
0.00 |
45.16 |
274.00 |
4.24 |
67.76 |
118.47 |
66.31 |
0.01 |
0.00 |
0.00 |
47.10 |
277.00 |
4.24 |
65.19 |
115.75 |
64.93 |
0.00 |
0.00 |
0.00 |
49.19 |
281.00 |
4.24 |
62.26 |
113.11 |
63.54 |
0.00 |
0.00 |
0.00 |
51.27 |
286.00 |
4.24 |
60.55 |
110.59 |
62.24 |
0.00 |
0.00 |
0.00 |
53.36 |
282.00 |
4.24 |
60.55 |
108.30 |
61.01 |
0.00 |
0.00 |
0.00 |
55.30 |
283.00 |
4.24 |
62.39 |
106.31 |
59.93 |
0.00 |
0.00 |
0.00 |
57.38 |
288.00 |
5.66 |
64.95 |
104.23 |
58.83 |
0.00 |
0.00 |
0.00 |
59.47 |
287.00 |
5.66 |
67.27 |
102.32 |
57.79 |
0.00 |
0.00 |
0.00 |
61.56 |
289.00 |
7.07 |
68.49 |
100.51 |
56.80 |
0.00 |
0.00 |
0.00 |
63.64 |
294.00 |
7.07 |
68.73 |
98.76 |
55.86 |
0.00 |
0.00 |
0.00 |
Table A20. Amplitude A of the internal profile τ (r) = A ln(r/r0) for NGC 2841.
Galaxy |
(km/s) |
|
NGC 2841 |
285 |
201.5 |
Appendix G: NGC 3198—SPARC Data and Rotation-Curve Fitting
For most galaxies in this Supplementary Material (DDO 154, F563-1, NGC 2841, etc.), the internal-time contribution is estimated through the simplified relation
which provides a direct, model-independent measure of the asymptotic velocity.
NGC 3198, however, is treated differently for a specific reason: it is one of the cleanest galaxies in the SPARC database, with a long and exceptionally flat velocity plateau. Because of this, NGC 3198 is used as a calibration galaxy for the internal-time model. In this case we employ the full physical expression
and determine the amplitude A by minimizing the chi-square of the complete rotation curve. This procedure tests the internal-time model in its most predictive form.
The resulting asymptotic velocity,
is in excellent agreement with the SPARC value
showing that the internal-time halo reproduces the observed plateau without any fine-tuning. This justifies the use of the full one-parameter fit for NGC 3198, while the simplified estimator is sufficient for the other galaxies.
Table A21. NGC 3198—Pure baryonic model (Block 1). SPARC data from [1].
R |
Vobs |
σV |
Vgas |
Vdisk |
Vbul |
Vbar |
∆V |
|
(kpc) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
(km/s) |
|
0.32 |
24.40 |
35.90 |
0.00 |
63.28 |
0.00 |
1084.92 |
0.00 |
|
0.64 |
43.30 |
16.30 |
0.00 |
73.66 |
0.00 |
590.57 |
0.00 |
|
0.96 |
45.50 |
16.10 |
0.00 |
78.98 |
0.00 |
410.97 |
0.00 |
|
1.28 |
58.50 |
15.40 |
0.35 |
82.70 |
0.00 |
329.34 |
0.00 |
|
1.61 |
68.80 |
7.61 |
0.15 |
84.22 |
0.00 |
268.62 |
0.00 |
|
1.93 |
76.90 |
10.30 |
−0.05 |
83.17 |
0.00 |
247.67 |
0.00 |
|
2.24 |
82.00 |
8.09 |
−0.47 |
87.04 |
0.00 |
227.56 |
0.00 |
|
2.57 |
86.90 |
7.60 |
−0.95 |
88.91 |
0.00 |
205.02 |
0.00 |
|
2.89 |
97.60 |
3.03 |
−1.43 |
88.98 |
0.00 |
200.20 |
0.00 |
|
3.21 |
100.00 |
5.31 |
−1.14 |
93.81 |
0.00 |
208.58 |
0.00 |
|
3.54 |
107.00 |
7.51 |
−0.39 |
101.22 |
0.00 |
208.47 |
0.00 |
|
3.85 |
113.00 |
7.32 |
0.36 |
108.53 |
0.00 |
196.07 |
0.00 |
|
4.17 |
117.00 |
5.21 |
1.52 |
115.51 |
0.00 |
179.96 |
0.00 |
|
4.50 |
119.00 |
5.67 |
3.07 |
120.51 |
0.00 |
164.19 |
0.00 |
|
4.82 |
127.00 |
5.39 |
4.63 |
125.42 |
0.00 |
150.99 |
0.00 |
|
5.15 |
132.00 |
4.34 |
6.02 |
129.40 |
0.00 |
138.08 |
0.00 |
|
5.46 |
134.00 |
2.36 |
7.16 |
133.15 |
0.00 |
126.00 |
0.00 |
|
5.78 |
137.00 |
0.89 |
8.31 |
136.45 |
0.00 |
113.63 |
0.00 |
|
6.10 |
140.00 |
2.84 |
9.46 |
139.41 |
0.00 |
101.19 |
0.00 |
|
6.43 |
142.00 |
0.88 |
10.61 |
141.85 |
0.00 |
86.52 |
0.00 |
|
6.74 |
144.00 |
1.23 |
11.77 |
142.32 |
0.00 |
70.23 |
0.00 |
|
7.06 |
146.00 |
1.57 |
12.87 |
140.94 |
0.00 |
57.67 |
0.00 |
|
8.04 |
147.00 |
3.00 |
16.39 |
135.68 |
0.00 |
40.74 |
0.00 |
|
9.04 |
148.00 |
3.00 |
20.03 |
130.79 |
0.00 |
31.83 |
0.00 |
|
10.04 |
152.00 |
2.00 |
23.68 |
128.10 |
0.00 |
26.64 |
0.00 |
|
11.04 |
155.00 |
2.00 |
27.08 |
126.67 |
0.00 |
21.02 |
0.00 |
|
12.05 |
156.00 |
2.00 |
30.11 |
124.98 |
0.00 |
15.42 |
0.00 |
|
14.05 |
157.00 |
2.00 |
34.48 |
118.12 |
0.00 |
6.42 |
0.00 |
|
16.07 |
153.00 |
2.00 |
36.43 |
108.22 |
0.00 |
2.95 |
0.00 |
|
18.13 |
153.00 |
2.00 |
37.76 |
101.10 |
0.00 |
2.39 |
0.00 |
|
20.05 |
154.00 |
2.00 |
39.83 |
96.40 |
0.00 |
1.44 |
0.00 |
|
22.12 |
153.00 |
2.00 |
40.92 |
91.56 |
0.00 |
0.72 |
0.00 |
|
24.03 |
150.00 |
2.00 |
41.77 |
87.03 |
0.00 |
0.28 |
0.00 |
|
26.10 |
149.00 |
2.00 |
43.71 |
82.67 |
0.00 |
0.16 |
0.00 |
|
28.16 |
148.00 |
2.00 |
45.41 |
79.06 |
0.00 |
0.08 |
0.00 |
|
30.08 |
146.00 |
2.00 |
45.29 |
76.07 |
0.00 |
0.04 |
0.00 |
|
32.14 |
147.00 |
2.00 |
44.56 |
73.27 |
0.00 |
0.02 |
0.00 |
|
34.06 |
148.00 |
2.00 |
44.81 |
70.91 |
0.00 |
0.01 |
0.00 |
|
36.12 |
148.00 |
2.00 |
45.90 |
68.62 |
0.00 |
0.01 |
0.00 |
|
38.19 |
149.00 |
2.00 |
46.75 |
66.59 |
0.00 |
0.00 |
0.00 |
|
40.10 |
150.00 |
2.00 |
47.48 |
64.84 |
0.00 |
0.00 |
0.00 |
|
42.17 |
150.00 |
3.00 |
48.93 |
63.10 |
0.00 |
0.00 |
0.00 |
|
44.08 |
149.00 |
3.00 |
47.84 |
61.63 |
0.00 |
0.00 |
0.00 |
|
Table A22. Summary of rotational fits (pure baryonic model).
Galaxy |
D (Mpc) |
Npts |
|
|
NGC 3198 |
13.8 |
44 |
(already provided) |
(already provided) |
Method of calculation. For each radius
, the baryonic velocity is obtained from the gas and stellar-disk contributions:
The pure baryonic model contains no free parameters. The difference be-tween observed and baryonic velocities is
Each point contributes to the chi-square through
The total chi-square is
The reduced chi-square is
One-Parameter Fit of the Internal-Time Halo
In the internal-time framework, the halo contribution is constant:
The predicted total velocity is
The amplitude A is determined by minimizing
The best-fit value is
The corresponding asymptotic velocity is
in excellent agreement with the observed plateau.
Table A23. Internal-Time amplitude for NGC 3198.
Galaxy |
(km/s) |
|
NGC 3198 |
106.4 ± 5.2 |
150.2 ± 7.3 |