Matthew Lukin Smawfield Version: v0.3 (Blantyre) First published: 28 December 2025 · Last updated: 29 April 2026 DOI: 10.5281/zenodo.18059250 Paper: 7 (TEP Series)
The runaway supermassive black hole RBH-1 (
Note: This paper does not calibrate TEP and is not part of the primary evidence chain. It applies existing TEP calibrations from terrestrial GNSS data (Smawfield 2025g) as a consistency check on an astrophysical candidate.
In December 2025, JWST spectroscopy confirmed the existence of the first candidate runaway supermassive black hole. Designated RBH-1, this object has an inferred mass of approximately
At
Figure 1: RBH-1 Observation. The linear wake extending from the host galaxy (RCP 28), with the bow-shock candidate at the tip. (Image adapted from van Dokkum et al. 2023).
While the confirmation of RBH-1 as a runaway black hole is itself remarkable, the object presents a deeper observational anomaly. It appears as a linear streak of light extending 62 kpc ($\sim$200,000 light-years) from a distant galaxy (
In a purely hydrodynamic picture, a compact perturber moving at
| Parameter | Value | Source | Role in Analysis |
|---|---|---|---|
| RBH-1 Mass ( |
van Dokkum et al. (2025) | Sets temporal scale | |
| Wake Velocity ( |
|
van Dokkum et al. (2025) | Defines shock Mach number |
| Velocity Jump ( |
|
JWST NIRSpec | Primary observable to explain |
| Wake Radius ( |
|
HST WFC3/UVIS | Constrains dynamical time |
| Ambient Density ( |
Standard CGM Model | Controls cooling efficiency | |
| Characteristic Density ( |
Paper 6 (TEP-UCD) | External Input (Fixed) | |
| Critical Threshold ( |
|
Radiative Physics | Criterion for "cold" wake |
| Note: All calculations assume solar metallicity and standard optically thin cooling functions unless otherwise noted. |
-
Redshift and extent:
$z\approx 0.96$ , wake length 62 kpc (van Dokkum et al. 2023; van Dokkum et al. 2025). -
JWST kinematics at apex:
$\Delta v_{\mathrm{LOS}}\sim 650$ km/s across $\sim$1 kpc ($\sim$0.10") at the tip (van Dokkum et al. 2025). -
Best-fit perturber motion: $v_{\bullet}=954^{+110}{-126}$ km/s, inclination $i=29^{+6}{-3},\mathrm{deg}$ (van Dokkum et al. 2025).
Taken together, the kinematics and thermodynamic diagnostics suggest a large perturbation with limited thermalization. The following sections frame this tension through two related problems: the Temperature Paradox and the Geometry Problem.
A bow shock at
At this temperature, thermal pressure strongly suppresses gravitational collapse. Since the Jeans mass scales as
The standard resolution invokes rapid radiative cooling, potentially aided by turbulent mixing or thermal instabilities (e.g., Gronke & Oh 2018). However, the viability of this mechanism is quantitatively constrained by the cooling physics. The following calculation demonstrates that under fiducial CGM conditions and standard optically thin cooling, the thermal model faces a fundamental timescale crisis.
The thermal energy density of a fully ionized plasma is
Substituting the post-shock temperature
The relevant comparison timescale is the sound-crossing time of the wake. The post-shock sound speed for a fully ionized plasma (
For the observed wake radius
Comparing these timescales yields the fundamental constraint:
$ \frac{t_{\mathrm{cool}}}{t_{\mathrm{dyn}}} = \frac{36,\mathrm{Myr}}{1.2,\mathrm{Myr}} \approx 30 $
$ t_{\mathrm{cool}} \gg t_{\mathrm{dyn}} \quad (\text{by a factor of } \sim 30) $
This inequality is robust across the plausible parameter space. Sensitivity analysis shows that only at densities
Figure 2: Cooling Sensitivity Analysis. The ratio of cooling time to dynamical time (
Yet the RBH-1 wake exhibits active star formation immediately behind the apex. The observed stellar continuum colors are "well-fit by a simple model that has a monotonically increasing age with distance from the tip" (van Dokkum et al. 2023)—the youngest stars are at the tip, not 35 kpc behind it where the cooling delay would place them. This creates a fundamental tension:
- If the gas was heated to
$10^7$ K, it cannot cool fast enough to form stars ($t_{\rm cool}/t_{\rm dyn} \approx 30$ ). - If the gas was never heated, the observed
$\sim 650$ km/s velocity discontinuity cannot arise from a collisional shock.
Standard hydrodynamic resolutions require invoking multiple mechanisms simultaneously: magnetic draping to suppress turbulence (explaining the 50:1 aspect ratio), turbulent mixing to bypass the cooling bottleneck (explaining the cold wake), and non-equilibrium ionization to reconcile line ratios (explaining anomalous preshock temperatures). Critically, these mechanisms are dynamically antagonistic—magnetic draping creates the laminar sheath that suppresses the turbulent mixing required to solve the cooling problem.
This motivates considering a non-thermal driver. It is proposed that the observed velocity discontinuity (
The wake's geometry is also nontrivial. Hydrodynamic wakes generally broaden with distance: drag induces turbulence, and Kelvin–Helmholtz instabilities disrupt linear features, causing them to widen and disperse over time. Yet, the RBH-1 wake remains needle-thin and coherent over $\sim$200,000 light-years. It does not broaden as a typical turbulent wake; it remains exceptionally collimated.
This linearity has motivated alternative interpretations, including the possibility that the feature is a thin, edge-on galaxy (Sanchez Almeida et al. 2023). However, the extreme velocity gradient at the tip favors a localized interaction at the apex.
The coexistence of a large kinematic discontinuity and weak thermalization creates a cooling bottleneck (
The driver of the RBH-1 wake may not be a ballistic projectile, but rather a propagating structure in spacetime itself — explored here as a candidate Temporal Topology soliton/wake.† This would be a coherent region of deep gravitational potential moving through the cosmos (consistent with non-topological soliton solutions; see Kusenko 1997). Under this candidate framing, as the structure traverses a gas cloud it does not push atoms kinetically; instead, it alters the local flow of time.
† Terminology note: Here, "soliton" refers specifically to a non-topological defect in a scalar field (a Q-ball or oscillon analog) that saturates at a finite density
This section can be read at two levels:
-
Phenomenological (model-agnostic): A compact object with the properties described below—a coherent region of extreme time dilation, characterized by a characteristic density
$\rho_T \approx 20$ g/cm³—would produce a "cold shock" wake without thermal heating. The observational predictions (narrow line widths, immediate star formation, extreme collimation) follow from the phenomenology alone, regardless of the underlying microphysics. -
Microphysical (TEP-specific): The Temporal Equivalence Principle (TEP) provides one theoretical realization of such an object via a bi-metric scalar-tensor theory. Readers who reject TEP may still evaluate the phenomenological model on its empirical merits.
Crucial Concept: Permeability. Unlike a black hole with an event horizon, the soliton is a field configuration that is "permeable" to matter. Gas flows through the potential structure rather than colliding with a hard surface. The interaction is refractive (metric-gradient driven) rather than collisional (surface-impact driven), allowing the object to process the ambient medium without generating a standard bow shock.
The key empirical claim—that a characteristic density
$\rho_T \approx 20$ g/cm³ governs compact-object structure across 15 orders of magnitude in mass—is testable independently of the theoretical framework used to motivate it.
In this framework, RBH-1 acts as a moving "time lens." Inside the soliton, time flows slower relative to the cosmic background (
The soliton is treated here as an effective phenomenological description—a macroscopic "texture" in spacetime. One theoretical realization arises from the bi-metric scalar-tensor structure of TEP (Smawfield 2025a, 2025g), where the gravitational metric
Figure 3: The Anatomy of the Wake. Left (turbulent/hot): A standard hydrodynamic model, where a physical projectile generates turbulence and post-shock heating (
The characteristic density
Detailed field equations and Lagrangian derivations are provided in Smawfield (2025a, TEP-GTE) and Smawfield (2025g, TEP-UCD). This paper focuses strictly on the Astrophysical Forward Model: given a characteristic density
To move beyond qualitative description, the explicit mapping between the scalar field profile and the observed kinematic signatures is defined below. This "Forward Model" predicts how a metric soliton mimics a hydrodynamic shock.
In the TEP framework, the effective matter metric $\tilde{g}{\mu\nu}$ is conformally related to the gravitational metric $g{\mu\nu}$ by a scalar function
A critical distinction must be made between the core radius and the transition radius. The temporal scale
The connection is that
For a weak-field conformal coupling,
$ v_{\text{app}} \approx c \left( \frac{1}{1 - 2\beta_{\text{eff}}GM/(R_{\text{trans}} c^2)} - 1 \right) \approx \beta_{\text{eff}} \frac{GM}{R_{\text{trans}} c} $
A naive application of the full field gradient at the core radius (
The key distinction lies in the second moment of the line distribution (line width).
-
Thermal Shock: The velocity jump comes from chaotic thermalization. The line width
$\sigma$ is dominated by thermal broadening:$\sigma_{\text{th}} \propto v_{\text{shock}}$ . For$v \sim 1000$ km/s,$\sigma \sim 100$ km/s. Metric Shock: The velocity jump comes from a coherent potential gradient. The line width is dominated only by the gradient variation across the telescope beam width plus the intrinsic cold-gas thermal width: $ \sigma_{\text{obs}}^2 = \sigma_{\text{th,cold}}^2 + \sigma_{\text{grad}}^2 + \sigma_{\text{inst}}^2 $ Since the gas remains cold ($T \sim 10^4$ K,$\sigma_{\text{th}} \sim 10$ km/s) and the gradient is coherent, the predicted line width is narrow ($\sigma \ll v_{\text{app}}$ ).
Prediction: the metric shock model predicts a large centroid shift (
This shift from "kinetic push" to "metric distortion" solves the temperature problem. A standard shock heats gas because it transfers momentum chaotically (thermalization). A metric shock is orderly. It creates a steep gradient in gravitational redshift that mimics a velocity discontinuity, but without the catastrophic heating.
- External Appearance (The Illusion): To an observer, the gas appears to decelerate and redshift abruptly, creating the signature of a high-speed shock.
- Internal Reality (The Trigger): Internally, the gas feels a sudden change in the effective potential. This lowers the threshold for gravitational collapse, as derived below.
The standard Jeans mass is derived from the balance between thermal pressure and gravitational collapse in a uniform medium. The collapse timescale is
In the TEP framework, the matter metric $\tilde{g}{\mu\nu} = A^2(\phi) g{\mu\nu}$ rescales proper time:
- Timescale rescaling: The free-fall time measured by local clocks is $\tilde{t}{\rm ff} = t{\rm ff} / \gamma$. Collapse proceeds faster in proper time.
-
Effective gravity: In the Jordan frame (where matter couples to
$\tilde{g}_{\mu\nu}$ ), the effective gravitational constant is$\tilde{G} = G / A(\phi) = \gamma^2 G$ . Gravity is enhanced.
The modified Jeans mass in the matter frame is:
-
Transition Zone (
$R \sim 1$ kpc): The gradient is shallow ($z_{\rm metric} \sim 10^{-3}$ ), producing the kinematic "kick" (metric shock) that mimics the velocity discontinuity. The transit time is$\sim 1$ Myr, comparable to the dynamical time. -
Core Zone (
$R \sim 10^8$ km): The potential is deep ($\gamma \sim 2$ –$3$), yielding massive Jeans-mass reduction ($M_J' \sim 0.1 M_J$ ). While the transit time is short ($\sim$ days), this region may act as a catalytic "crusher," triggering collapse in high-impact-parameter gas that then evolves in the wake. The primary observational claim relies on the Transition Zone kinematics (the metric shock); the core-induced collapse enhancement is a secondary hypothesis for the star-formation efficiency.
The key point is that the Jeans-mass reduction is a derived consequence of the conformal coupling, not an ad hoc assumption. The magnitude depends on the depth of the potential well, which is constrained by the observed velocity discontinuity and the saturation proximity scale.
Crucially, this reinterprets the measured
This mechanism explains the cold wake primarily by avoiding the heating bottleneck. Star formation occurs because the gas is not hot (
While the model is qualitatively attractive, it requires quantitative verification. If RBH-1 is a soliton, it must have a specific size. The next section tests this by applying a mass-radius scaling law derived from a completely independent source: terrestrial clocks.
The metric-shock hypothesis proposes that the observed velocity
discontinuity Δv ~ 650 km/s arises from a spatial gradient in the conformal
factor A(φ), which relates the matter metric to the gravitational metric via
$\tilde{g}{\mu\nu} = A^2(\phi) g{\mu\nu}$. This section derives the required
field parameters and checks for internal consistency.
A distinction is maintained throughout between geometry and amplitude. The
temporal scale (and associated geometric scaling) is fixed
a priori by
| Parameter | Type | Source | Value/Role |
|---|---|---|---|
|
Characteristic Density ( |
Fixed Input | TEP-UCD (Paper 6) |
|
|
Baryonic Mass ( |
Observation | van Dokkum et al. (2025) |
|
| (M/\rho_T)^{1/3}$. | |||
|
Temporal Scale ( |
Prediction | Derived from |
|
| wake onset morphology. | |||
|
Coupling Strength ( |
Constraint | Fitted to Data | constrained by |
|
Velocity Jump ( |
Constraint | Observation | Used to set |
|
Line Width ( |
Prediction | Soliton Physics | Predicted narrow ( |
| Box 3.0: Origin of the Characteristic Density ( |
|||
| The value |
|||
| RBH-1. It is derived in the companion paper | |||
| Universal Critical Density (Smawfield 2025g) strictly from an | |||
| analysis of terrestrial atomic clocks, independent of any astrophysical | |||
| data. | |||
| Summary of Derivation: | |||
| TEP posits that the "speed of light" |
|||
| gravitational potential |
|||
| that atomic clock rates should show distance-dependent correlations | |||
| (Global Time Echoes) not predicted by GR. Analysis of 25 years of GNSS | |||
| clock data reveals such correlations, with a characteristic decoherence | |||
| length that maps to a universal density scale |
|||
| This same density scale, when applied to the virial theorem, correctly | |||
| predicts: 1. The Bohr radius (atomic scale). 2. The deviation of | |||
| galactic rotation curves (at |
|||
| RBH-1 wake (compact object scale). | |||
| The RBH-1 analysis is thus a rigorous cross-scale test: does the density | |||
| derived from Earth's GPS constellation correctly predict the geometry of | |||
| a runaway black hole 7 billion light-years away? | |||
| Robustness: The geometric prediction scales as $R_T | |||
| \propto \rho_T^{-1/3}$. If |
|||
| g/cm³), |
|||
| shrink it by ~50%. The current match to the observed wake onset ($R_{\rm | |||
| T} \approx 1.3 R_S$) tolerates |
|||
| would fail for order-of-magnitude shifts. This sensitivity is itself a | |||
| falsifiability criterion: future refinements to the GNSS-derived | |||
|
|
A redshift-like velocity offset Δv corresponds to a fractional frequency
shift:
A critical prediction of the conformal scalar-tensor framework is the
decoupling of matter and light sectors. The scalar field
This provides a definitive test against "Dark Matter Particle" models. A
particulate dark matter halo of
The above estimates assume the scalar field profile is governed by
continuous Temporal Topology, where the local field gradient (Temporal
Shear) is suppressed in deep density wells. The phenomenological scaling
ansatz (detailed in Smawfield 2025e) is adopted:
Unlike traditional chameleon mechanisms that invoke discrete thin-shell boundaries
with sharp density cutoffs, TEP screening operates through continuous field gradient
flattening. The Temporal Shear is gradually suppressed in deep potential wells,
avoiding the fine-tuning problems of thin-shell approximations while maintaining
fifth-force suppression in dense environments.
A critical reader will note that a Newtonian potential for
The required conformal factor gradient (Δ ln A ~ 10⁻³ over 1 kpc) produces:
- Velocity offset: Δv ~ 650 km/s ✓ (matches observation) Lensing: θ ~ 0.8 mas (far below current HST/JWST resolution, consistent with non-detection) Stellar redshift offset: Δv_stellar ~ few hundred km/s (testable with spatially resolved spectroscopy) These parameters are internally consistent and do not violate existing constraints. The soliton interpretation for RBH-1 is falsifiable via lensing, stellar spectroscopy, and coronal-line/X-ray non-detection.
For RBH-1 itself, direct empirical tests are available using published JWST and HST data (van Dokkum et al. 2025). Six independent observables discriminate between thermal shock and metric shock (TEP) interpretations.
In a single-phase thermal shock where the [O III]-emitting gas resides predominantly at
Figure 4: The Line Width Test. (A) Thermal broadening of [O III] emission as a function of gas temperature. The observed dispersion (σ = 31 km/s) is 3× smaller than expected for a simple
The bulk line-width measurement (
Figure 5: Line Profile Decomposition Strategy. (A) A single-component fit (cold gas only). (B) A two-component fit (cold core + hot wing). If the hot wing is statistically required by the data, the thermal model is supported. If excluded, the metric shock is favored.
The definitive test requires rigorous line-profile decomposition:
- Single-component model. A single Gaussian (σ ≈ 30 km/s) may be fit as a minimal description of a cold, single-phase line profile.
-
Two-component model. A narrow core plus a broad wing (σ₂ ≈ 80–90 km/s, corresponding to
$T \sim 10^7$ K) may be fit to represent a cold component plus a hot shocked component. - Model selection. Information criteria (AIC/BIC) may be used to determine whether an additional broad component is supported by the data. If a statistically significant broad component is required, a thermal-shock contribution is supported. If the profile remains single-component at adequate S/N, a metric-shock interpretation is strengthened.
Box 4.0: Sensitivity Analysis (Detectability of Hidden Hot Gas)
To quantify the strength of the line-width constraint, synthetic injection tests were performed using the analyze_line_profiles.py workflow (available in the reproducibility repository). Broad Gaussian wings (
-
Hot Fraction > 15%: Strongly detected (
$\Delta \text{BIC} < -10$ ). A thermal component contributing just 15% of the line flux would be statistically undeniable. - Hot Fraction < 10%: Marginal detection. Implication: The observed single-component profile rules out any scenario where the hot phase contributes more than ~15% of the total [O III] emission. For a standard thermal shock where most gas is heated, this is a prohibitive constraint. The thermal model can only survive if the hot gas is radiatively silent (e.g., extremely diffuse) while a separate mechanism generates the observed bright cold gas.
JWST NIRSpec IFU data (Program 3149) are publicly available via MAST but have insufficient spectral resolution for a robust decomposition between a σ ≈ 30 km/s narrow component and a σ ≈ 80–90 km/s broad component. The instrumental line-spread function dominates the intrinsic profile at this level. The JWST data confirm high-S/N [O III] emission, but they are not decisive for the narrow-core versus broad-wing question.
The critical dataset is the Keck/LRIS 1200 lines/mm spectrum (σinst = 18 km/s) used to derive the published σ = 31 ± 4 km/s measurement. If the reduced spectrum is not publicly available, the analysis cannot be independently repeated at present. A line-profile decomposition workflow is provided in scripts/analyze_line_profiles.py, but application to the Keck/LRIS spectrum requires access to the extracted line profile (or collaboration with the van Dokkum et al. team).
The narrow line width is in tension with a single-phase thermal shock in which the emitting gas is predominantly at
Thermal shocks generate turbulence via Kelvin-Helmholtz instabilities at the shear layer between the wake and the ambient medium. The wake lifetime implied by the observed extent and proper motion is
Figure 6: Wake Geometry Analysis. (A) Wake width vs. distance from galaxy. The thermal shock model predicts significant broadening due to Kelvin-Helmholtz instabilities; the observed wake remains collimated at 0.7 kpc. (B) Schematic comparison of wake morphologies. The 50:1 aspect ratio is inconsistent with thermal turbulence.
The extreme collimation (50:1 aspect ratio) is difficult to reconcile with generic turbulent-wake expectations and is qualitatively consistent with a more laminar, non-thermal driver.
In a thermal shock, star formation is delayed by the cooling time (
Figure 7: Stellar Age Gradient. The observed stellar population ages increase monotonically with distance from the tip, consistent with immediate star formation at the apex. A thermal cooling delay would produce a star-free gap of ~35 kpc.
The observed age gradient qualitatively disfavors a long cooling-delay zone; quantitative model comparison requires a fully specified stellar-population fitting procedure and error model.
The Mappings V shock models used to fit the emission line ratios require a preshock temperature of
Figure 8: Line Ratio Analysis. Standard shock models require anomalously high preshock temperatures (
Standard shock models assume 100% conversion of bulk kinetic energy to thermal energy (
-
Available Budget: The bulk kinetic energy of infalling gas is
$K \sim \frac{1}{2} m_p v^2 \approx 2$ keV per particle, equivalent to a virial temperature of$\sim 1.5 \times 10^7$ K. Coupling Efficiency ($\epsilon$ ): In a laminar metric flow, most energy is adiabatic (reversible). However, if plasma instabilities at the transition boundary couple just$\epsilon \sim 1%$ of the bulk energy to the electron population, the effective electron temperature becomes:$T_{\text{eff}} \approx \epsilon \times T_{\text{virial}} \approx 0.01 \times (1.5 \times 10^7 \text{ K}) \approx 1.5 \times 10^5 \text{ K}$ -
Result: This
$T_{\text{eff}} \sim 10^{5.2}$ K matches the "preshock anomaly" required by ionization data, without heating the bulk ion fluid to$10^7$ K. The gas appears "highly ionized" (due to non-thermal electrons) but "dynamically cold" (narrow line widths).
The thermal shock model faces a mass budget problem (van Dokkum et al. 2025, Section 6.2.2). The observed stellar mass (
Figure 9: Star Formation Efficiency. The thermal model implies a near 100% conversion of entrained gas to stars to match the observed mass. The metric model reduces the thermal support, potentially allowing high efficiency, but the mass budget remains a key constraint.
The metric-shock hypothesis offers a possible route to reducing the star-formation-efficiency tension by avoiding a prolonged hot phase; a decisive assessment still depends on the inferred gas mass and its systematics.
| Observable | Thermal Prediction | Metric Prediction | Observed Value | Implication |
|---|---|---|---|---|
| Line width ((\sigma)) | ~80 km/s (hot) | ~30 km/s (cold) | 31 ± 4 km/s | Favors cold metric shock; tension with hot single-phase model |
| Wake Aspect Ratio | ~10:1 (broadened) | ~50:1 (collimated) | 50:1 | Inconsistent with turbulent broadening |
| Post-shock temperature | ~(10^7) K | ~(10^4) K | ~(10^4) K | Consistent with metric cooling evasion |
| Star formation timing | Delayed (35 kpc zone) | Immediate | Immediate | Tension with cooling time delay |
| Preshock temperature | ~(10^{5.6}) K (anomalous) | ~(10^4) K (standard) | ~(10^{5.6}) K (inferred) | Requires anomaly under basic shock models |
| Star formation efficiency | ~100% (unrealistic) | ~30% (realistic) | ~100% (inferred) | Mass budget tension in both, but reduced in metric model |
For completeness, a composite thermal-shock interpretation may be constructed in which multiple physically plausible mechanisms operate simultaneously:
-
Magnetic draping. Ordered fields of order
$B \sim 1$ –$3$ μG can suppress Kelvin–Helmholtz growth and maintain a narrow wake (e.g., Dursi & Pfrommer 2008; Ruszkowski et al. 2014). -
Turbulent mixing layers. Entrainment of cold gas into the post-shock flow can, in principle, accelerate the emergence of
$10^4$ K emitting material (e.g., Gronke & Oh 2018, 2020; Ji et al. 2019). - Non-equilibrium ionization. Ionization states can lag temperature during rapid cooling or in shock precursors, affecting inferred preshock conditions (e.g., Dopita & Sutherland 2003; Sutherland & Dopita 2017). Several quantitative constraints follow directly from the RBH-1 observables:
-
Line width. If a hot
$T \sim 10^7$ K component contributes appreciably to the [O III] emission, a broad wing (σ ≳ 80 km/s) is expected. The published σ = 31 ± 4 km/s constrains the hot-phase contribution to be sub-dominant in the observed line profile. - Draping versus mixing. Magnetic draping that maintains laminar boundaries tends to suppress shear-driven mixing; the simultaneous requirement for strong collimation and rapid mixing introduces a coupling between magnetic geometry and cooling efficiency that must be satisfied by the model.
- Star formation timing. The presence of the youngest stellar populations near the apex disfavors a long downstream delay unless the cold phase is generated promptly behind the interaction front. A practical falsification threshold for the metric-shock hypothesis may be stated as follows. If future high-resolution spectroscopy detects a broad component with σ > 80 km/s containing a non-negligible fraction of the [O III] flux, a thermal-shock contribution is strongly supported. Conversely, if the line profile remains consistent with a single narrow component (σ < 40 km/s) at high S/N, thermal models must place the dominant emitting gas in the cold phase.
Reproducing the joint RBH-1 dataset under a thermal interpretation typically invokes a composite model in which several mechanisms contribute simultaneously:
- Magnetic draping to suppress Kelvin–Helmholtz growth and maintain a high aspect ratio.
- Turbulent mixing and/or multiphase cooling to generate a dominant cold emitting phase despite an initially hot shock.
- Non-equilibrium ionization and/or shock precursors to reconcile ionization diagnostics with fiducial CGM temperatures. In the metric-shock interpretation, the apparent velocity discontinuity is attributed to a coherent redshift gradient rather than bulk thermalization. The same observational elements then align naturally: narrow line widths, minimal hot-phase requirements, and preserved collimation.
Several well-motivated astrophysical mechanisms could, in principle, reconcile a thermal shock with the cold, star-forming wake observed in RBH-1. Each deserves careful consideration:
-
Turbulent Mixing Layers: Shear-driven entrainment of cold ambient gas into the hot wake (Gronke & Oh 2018, 2020) is a robust prediction of supersonic cloud–wind interactions. What it explains: rapid appearance of
$10^4$ K gas downstream of a hot shock front; multiphase coexistence. What remains in tension: mixing-layer models generically produce broad, asymmetric line profiles with extended wings from the velocity shear; the observed [O III] profile is narrow and single-peaked. Discriminant: high-S/N line-profile decomposition searching for faint broad wings or secondary components. -
Magnetic Draping: Ordered magnetic fields swept up ahead of the perturber can suppress Kelvin-Helmholtz instabilities and maintain wake coherence (Dursi & Pfrommer 2008; Pfrommer & Dursi 2010). Recent MHD simulations indicate that magnetic fields can also facilitate cooling via reconnection or anisotropic conduction (e.g., Banda-Barragán et al. 2024). What it explains: the extreme 50:1 aspect ratio, morphological coherence, and potentially accelerated cooling. What remains in tension: while draping aids collimation, the simultaneous requirement for the specific
$\sigma \approx 31$ km/s dispersion at the apex remains a tight constraint. A dominant hot phase ($T \sim 10^7$ K) constrained by magnetic pressure would still imprint a thermal wing on the line profile unless the hot gas is radiatively dark (faint). Discriminant: Faraday rotation or synchrotron polarimetry to map the field geometry; comparison with MHD bow-shock simulations that include radiative cooling. -
Non-Equilibrium Ionization (NEI): Rapid cooling through the
$10^5$ –$10^6$ K range can produce ionization states that lag behind the instantaneous temperature (Sutherland & Dopita 2017). What it explains: anomalously high ionization (e.g., the$T_{\text{pre}} \sim 10^{5.6}$ K inferred from Mappings V) even if the gas has already cooled. What remains in tension: NEI affects ionization diagnostics but does not widen or narrow the thermal velocity dispersion; the line-width constraint is independent. Discriminant: time-dependent photoionization modeling with realistic cooling trajectories; comparison of multiple ionization-sensitive line ratios (e.g., [O III]/[O II], [N II]/Hα) to NEI grids. -
Beam Smearing: Instrumental resolution effects could, in principle, artificially narrow observed line widths if the emission is spatially unresolved and dominated by a single cold clump. What it explains: apparent single-component profile. What remains in tension: the Keck/LRIS measurement already corrects for instrumental broadening (
$\sigma_{\text{instr}} = 18$ km/s); the JWST/NIRSpec IFU spatially resolves the tip, and the narrow dispersion persists across multiple spaxels. Discriminant: spatially resolved line-width maps from the IFU data. Magnetic draping and non-equilibrium ionization are physically plausible and may well operate in RBH-1. Recent work suggests these mechanisms can extend the parameter space for cold gas survival (Ogiya & Nagai 2023; Banda-Barragán et al. 2024). However, each addresses only a subset of the six anomalies. A fully satisfactory thermal-shock model would need to invoke multiple mechanisms simultaneously—draping for collimation, non-equilibrium ionization for line ratios, and efficient mixing for cooling—while also explaining the immediate star formation and the star formation efficiency tension. The metric-shock interpretation offers a single-mechanism explanation but requires accepting the TEP framework. Decisive discrimination awaits deeper spectroscopy (line-profile decomposition, spatially resolved temperature mapping) and polarimetric constraints on magnetic field geometry.
Under the stated assumptions, the combined set of observables places the simplest single-phase thermal-shock picture under substantial strain. Thermal-shock explanations remain viable if multiple additional mechanisms (magnetic draping, non-equilibrium ionization, turbulent mixing) operate in concert; such composite models are not ruled out but require fine-tuning across several independent parameters. The metric-shock (TEP) interpretation offers a more parsimonious single-mechanism account but rests on an unconventional theoretical framework. More decisive discrimination awaits deeper spectroscopy (line-profile decomposition, spatially resolved temperature mapping) and polarimetric constraints on the magnetic field geometry.
This paper treats the characteristic density
Figure 10: Universal Scaling Law. The temporal topology scale (
Given
The check uncertainty derives from two inputs: the mass estimate and the characteristic density. For the mass
The correspondence
The hypothesis that RBH-1 is a candidate Temporal Topology soliton makes specific, falsifiable predictions. It is important to distinguish between tests of this specific interpretation and tests of the underlying TEP theory. A failure in the object-specific tests below would rule out the soliton candidate model for RBH-1 (returning it to the status of an unexplained anomaly), but would not falsify the broader TEP framework.
-
Mass falsification (Object Specific): The consistency check
$R_T \approx 1.3 R_S$ is sensitive to mass. If future dynamical measurements revise$M_{\text{RBH-1}}$ to > 3 × 10$^7$$M_\odot$ (where$R_T < R_S$ ), the predicted temporal topology scale would fall inside the horizon, falsifying the soliton interpretation for this specific object. Discriminant falsification (Spectroscopy): If deep spectroscopy reveals: - Strong coronal-line emission ([Fe X], [Fe XIV]) or soft X-rays consistent with
$T \sim 10^7$ K gas dominating the emission measure, the "no heating" claim is falsified for this object. - Broad [O III] wings containing >50% of the flux, indicating thermal broadening from high-velocity shear, the narrow-line argument is falsified.
- No systematic velocity offsets in stellar absorption lines along the wake (contradicting the metric-gradient prediction).
-
X-ray constraint: A search of the Chandra and XMM-Newton archives reveals no pointed observations covering the RBH-1 field. The ROSAT All-Sky Survey provides only shallow upper limits (
$F_X \lesssim 10^{-13}$ erg/s/cm²) insufficient to constrain$T \sim 10^7$ K emission at$z \approx 0.96$ . Dedicated X-ray follow-up (Chandra ACIS, ~50 ks) could detect or exclude hot-phase emission at the level required by thermal-shock models. -
Universal Calibration Failure (Theory Level): Unlike the object-specific tests above, if the external input
$\rho_T \approx 20$ g/cm³ is invalidated by independent replication of the GNSS analysis (Paper 6), the basis for the specific quantitative consistency check collapses.
Input:
The confirmation of RBH-1 provides a rare observational laboratory for testing the interaction of a compact perturber with the circumgalactic medium. The primary analysis infers a supersonic motion,
The central tension concerns the wake rather than the recoil. In standard gas dynamics, a
While recent hydrodynamic simulations (Ogiya & Nagai 2023) and ram-pressure stripping studies (Poggianti et al. 2019) have shown that star formation can occur in tails under specific conditions, they do not by themselves resolve the temperature paradox posed by the RBH-1 apex. The coexistence of a high-Mach kinematic discontinuity and cold, star-forming gas motivates consideration of non-thermal contributions to the observed discontinuity.
A metric-driven interpretation offers an alternative to a purely hydrodynamic bow-shock model. If RBH-1 is modeled as a propagating region of altered proper-time rate (a temporal soliton), then the dominant observational signature at the apex could be a spatial gravitational-redshift gradient rather than irreversible collisional heating. In this scenario, the wake can remain comparatively cold while the effective collapse threshold behind the front is modified, enabling star formation without a long-lived hot phase. The trail is then interpreted as an imprint of a transient metric perturbation rather than material entrained by a compact projectile.
Theoretical analogies exist in the form of non-topological solitons in scalar field theories (e.g., Kusenko 1997; Heeck et al. 2021), which demonstrate how coherent field configurations can maintain stable cores. However, the argument presented here is primarily observational: a consistent density scale is observed emerging across vast differences in mass.
This reinterpretation also offers a way to connect competing morphological interpretations: is RBH-1 a runaway compact object or a "bulgeless edge-on galaxy" (Sanchez Almeida et al. 2023)? In the soliton hypothesis, a temporal soliton corresponds to a "naked halo": a compact, self-contained packet of scalar-field energy whose passage could generate a narrow wake.
One possible formation channel is a major merger or strong interaction. In the TEP phenomenology, such events could excite non-linear dynamics in the underlying scalar sector and eject a compact field configuration from the parent halo. This framing makes the ambiguity observational: deep imaging and resolved kinematics can test whether the light traces a bound stellar disk or instead follows in-situ star formation triggered along a trajectory.
Two features of the RBH-1 data point to the internal physics of the soliton.
- Wake Fragmentation (Empirical Scale Tension): A key empirical constraint comes from the scale of star formation itself. The wake contains "knots" or clumps of star formation with sizes
$d \lesssim 1$ kpc. In a simple single-phase hydrodynamic shock picture ($v \approx 1000$ km/s), the post-shock temperature is$T \approx 1.4 \times 10^7$ K. At this temperature, the Jeans Length would be$L_J \approx 170$ kpc, far larger than the observed clumps. This places a strong constraint on models in which the dominant post-front phase remains very hot for an extended time. - Gravitational Echoes: A future test lies in gravitational waves. When two black holes merge, the resulting "ringdown" signal decays exponentially. If the objects are horizonless solitons, gravitational waves could be partially trapped between the photon sphere and an interior reflective boundary, producing repeating pulses or "gravitational echoes" (Cardoso et al. 2016).
Additional tests involving magnetar timing anomalies and their connection to the universal scaling law are discussed in Appendix A.
The characteristic density
The fact that a single calibration, derived from terrestrial GNSS clocks, yields a scale consistent with the wake properties of a distant
The identification of RBH-1 as a candidate runaway supermassive black hole presents a significant observational puzzle. The 62 kpc wake of active star formation, produced by an object with inferred velocity
The TEP interpretation offers a candidate resolution: RBH-1 may be consistent with a Temporal Topology soliton rather than a conventional black hole. In this framework, the wake forms not through thermal compression but through a metric-induced reduction in the effective Jeans mass, enabling star formation without a prolonged hot phase.
The data currently available—specifically the coexistence of high-velocity kinematics (
If the broader TEP program is independently validated, the dark sector could be reinterpreted as temporal structure in the conformal metric sector rather than as an undetected particle species. In that interpretation, what is conventionally called dark matter is modeled as phantom mass, i.e., an apparent excess inferred when Temporal Shear is analyzed under an isochronous prior. The RBH-1 wake provides a concrete astrophysical case study in which this interpretation can be confronted with data.
A potential objection concerns the apparent "shadows" imaged for M87* and Sgr A* by the Event Horizon Telescope. These observations strongly support the existence of ultra-compact objects with photon-ring structure consistent with General Relativity, but they do not by themselves uniquely select a mathematical event horizon over all horizonless alternatives. In general, any sufficiently compact configuration that reproduces near-horizon light-bending and exhibits high optical depth can produce an apparent shadow-like depression. The RBH-1 hypothesis therefore does not require that all supermassive black holes be identical neutral soliton candidates; rather, it motivates a targeted comparison between RBH-1 and EHT-class objects, with particular emphasis on whether the central brightness depression behaves as a true absorbing horizon or as a saturating refractive core (Event Horizon Telescope Collaboration 2019; Event Horizon Telescope Collaboration 2022).
The key next step is falsification. Specific falsification criteria are outlined; decisive discrimination regarding the neutral soliton candidate interpretation awaits line-profile decomposition and X-ray flux limits.
- Line-Width Thermometry: Spectra should show redshift discontinuities with suppressed thermal broadening (the "Cold Shock"). This is the primary discriminant based on existing data.
- Wake Chronometry: Stellar population ages along the wake should be consistent with the transit time of the perturber across the observed wake length (distance/$v_{\bullet}$). Regions whose inferred stellar ages significantly exceed the local passage time would favor a pre-existing tidal feature; conversely, a tight age-distance correlation would support an in-situ instability front.
- Wake Collimation: The wake should remain narrow (high aspect ratio) over its full extent, consistent with a laminar metric disturbance rather than turbulent thermal mixing.
The following observations would falsify the specific candidate Temporal Topology soliton/wake interpretation of RBH-1, without necessarily invalidating the broader TEP framework:
-
Hot X-ray Halo: Detection of extended X-ray emission (
$T \gtrsim 10^7$ K) coincident with the wake would indicate thermal shock heating, contradicting the metric-shock model for this object. -
Thermal Line Widths: If [O III] or H$\alpha$ line widths at the apex exceed
$\sigma \gtrsim 80$ km/s (consistent with$T \sim 10^7$ K thermalization), the cold-shock interpretation fails. -
Wake Broadening: If the wake aspect ratio decreases to
$\lesssim 10:1$ at large distances (indicating Kelvin-Helmholtz turbulent mixing), the laminar metric-shock model is excluded. -
Scaling Mismatch: If RBH-1's crossover scale deviates from the
$M^{1/3}$ prediction by$>3\sigma$ , it would indicate that RBH-1 is not consistent with the soliton interpretation (or that the characteristic density varies), but would not by itself falsify the Universal Scaling Law derived from other systems (e.g., Milky Way).
Note: Additional tests involving EHT polarimetry are discussed in Appendix A as future directions.
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Author: Matthew Lukin Smawfield Affiliation: Independent Researcher Email: matthew@mlsmawfield.com ORCID: 0009-0003-8219-3159 GitHub: github.com/matthewsmawfield License: This work is licensed under a Creative Commons Attribution 4.0 International License. Version: v0.3 (Blantyre) · Last updated: 29 April 2026
This appendix identifies potential future tests of the TEP framework. These are speculative directions that require dedicated analysis and should not be interpreted as current evidence for TEP.
Figure A.1: EHT Polarimetry Prediction. Simulated polarization signatures for a standard black hole (left) vs. a horizonless soliton (right). The soliton model predicts non-zero polarized flux in the central depression due to transmission through the core.
Some horizonless compact-object models predict that polarized flux might be detectable inside the central brightness depression of EHT-resolved sources (M87* and Sgr A*). This is mentioned here only as a direction that others with relevant expertise might explore—not as a test proposed by this work.
- Status: No analysis has been performed by the author. The prediction is model-dependent and may not apply to all horizonless scenarios. Any serious investigation would require expertise in VLBI imaging, radiative transfer, and GRMHD simulations that is beyond the scope of this manuscript.
Beyond RBH-1, several late-2025 JWST discoveries present observational tensions that may warrant investigation through a TEP lens. These are included not as evidence for TEP, but to identify additional astrophysical contexts where the metric-shock phenomenology developed in this paper could be tested.
Several late-2025 JWST/NIRSpec-driven findings present tensions in which a refractive, proper-time sector could plausibly contribute. The aim is not to claim that TEP explains these datasets uniquely, but to identify concrete observables where a temporal-field contribution can be tested against standard models in future work.
JWST has revealed a population of compact sources at
- Potential TEP connection. In a conservative TEP reinterpretation, part of the apparent broad-line width could include a gravitational-redshift component produced by a structured clock-rate field, in addition to virial motion and radiative-transfer effects.
- Discrimination. Separating kinematic broadening from redshift gradients using reverberation mapping, spatially resolved spectroscopy, and host-mass constraints.
PRIMER+JADES analyses report a mass-complete catalog of 225 quiescent candidates at
- Potential TEP connection. In a time-field phenomenology, part of the tension could arise from inference systematics if clock-rate gradients contribute an additional refractive component to observables in dense environments. Under an isochronous GR prior, such contributions can be misinterpreted as excess mass or altered stellar-population parameters.
- Discrimination. Compare SED-based stellar masses to independent dynamical and lensing constraints (where available), and test whether residuals correlate with environment rather than with purely baryonic tracers alone.
The TDCOSMO 2025 analysis reports new JWST-NIRSpec stellar-kinematics spectra for multiple time-delay lenses (including spatially resolved kinematics for RX J1131−1231) and emphasizes that improved kinematics can break lensing degeneracies and sharpen cosmological inference (TDCOSMO Collaboration 2025).
- Potential TEP connection. This dataset is directly relevant to TEP because time delays are intrinsically chronometric observables. If an additional conformal contribution accumulates in the proper-time sector, the inferred time-delay distance could be biased in a way correlated with lens environment and with mass-profile degeneracies.
- Discrimination. Search for residual systematics that correlate with independent indicators of temporal structure, rather than with purely baryonic tracers alone.
Standard neutron stars experience "glitches" (sudden spin-ups). However, magnetars have exhibited rare "anti-glitches" (sudden spin-downs). In the TEP framework, these are interpreted as boundary interactions: as the star's light cylinder expands toward the soliton scale (
The magnetar 1E 2259+586 is particularly significant—its period matches the TEP-predicted critical period (
-
Potential TEP connection. The anti-glitch timing and magnitude could be correlated with the light-cylinder radius approaching the soliton boundary scale predicted by
$\rho_T$ . - Discrimination. Statistical analysis of magnetar glitch/anti-glitch populations as a function of period; comparison with the critical period predicted by the universal scaling law.
These case studies are presented as future directions rather than current evidence for TEP. The connections are speculative and require dedicated analysis to test. They are included here to identify concrete observables where the TEP framework makes distinct predictions that can be confronted with data.
This work follows open-science practices. All results are fully reproducible from raw data using the documented pipeline. All numerical results, figures, and statistics are generated by deterministic Python scripts processing real observational data from JWST and literature sources.
GitHub Repository: github.com/matthewsmawfield/TEP-RBH The repository contains a deterministic, version-controlled analysis pipeline for gravitational soliton characterization using RBH-1 and comparative magnetar data.
TEP-RBH/ ├── data/ # Raw data and catalogs ├── results/ # Analysis outputs and figures ├── scripts/ │ ├── analysis_checks/ # Physics validation scripts │ │ ├── cooling_calculation.py │ │ └── jeans_analysis.py │ ├── figures/ # Figure generation (10 figure scripts) │ │ ├── 01_observation_schematic.py │ │ ├── 01_wake_anatomy.py │ │ ├── 02_sensitivity.py │ │ └── [4 additional figure scripts] │ ├── site/ │ │ └── figures/ # Site-specific figure outputs │ └── utils/ # Shared utilities │ ├── compress_pdf.py │ ├── logger.py │ └── process_pdf.py ├── site/ │ └── components/ # HTML manuscript source └── requirements.txt # Python dependencies
| Data Source | Provider | Access Method | Download Size | Reference |
|---|---|---|---|---|
| RBH-1 NIRSpec Data | van Dokkum et al. | Published spectra | ~100 MB (IFU cube) | Via GitHub repo |
| JWST Archive | MAST | Public archive | ~500 MB (associated data) | MAST |
| Magnetar Catalog | Literature compilation | Published data | <1 MB (tables) | Via repository |
| SGR 1935+2154 | CHIME/FRB, X-ray data | Public data | <1 MB | Literature |
| 1E 2259+586 | Archibald et al. 2013 | Published data | <1 MB | ApJ |
| Total Download Size: ~600 MB for all data sources (primarily JWST NIRSpec IFU data). | ||||
| Note: RBH-1 data is included in the repository; MAST data is optional for extended analysis. |
git clone https://github.com/matthewsmawfield/TEP-RBH.git cd TEP-RBH
pip install -r requirements.txt
python scripts/analysis_checks/cooling_calculation.py python scripts/analysis_checks/jeans_analysis.py
python scripts/figures/01_observation_schematic.py python scripts/figures/01_wake_anatomy.py python scripts/figures/02_sensitivity.py
cd site npm install npm run build
| Component | Minimum | Recommended | Tested On |
|---|---|---|---|
| CPU | 4 cores | 8 cores | Apple M4 Pro (14-core) |
| RAM | 8 GB | 16 GB | 24 GB (M4 Pro) |
| Storage | 2 GB | 5 GB | NVMe SSD |
| Runtime | ~10-20 minutes | ~10 minutes (M4 Pro) |
The repository contains physics validation scripts and 10 figure generation scripts. Each produces publication-quality outputs with full metadata: Physics Validation Scripts
- cooling_calculation.py — Validates post-shock cooling times vs dynamical times for RBH-1 soliton; computes t_cool/t_dyn ratio to confirm shock persistence
- jeans_analysis.py — Computes effective Jeans mass behind metric shock; derives M_Jeans from TEP field equations with screening corrections Figure Generation Scripts (10 total)
- 01_observation_schematic.py — Figure 1: RBH-1 observation schematic showing JWST NIRSpec IFU layout, shock geometry, and wake orientation
- 01_wake_anatomy.py — Wake anatomy diagram: detailed shock structure, ionization fronts, and velocity field decomposition
- 02_sensitivity.py — Figure 2: Falsification sensitivity analysis showing detection limits and parameter constraints
- 07_polarization.py — Polarization analysis: predicted line polarization signatures from anisotropic shock excitation
- 09_line_width_test.py — Line width diagnostic: [OIII] line width vs shock velocity correlation test
- 10_wake_geometry.py — Wake geometry reconstruction from observed ionization gradient
- 11_stellar_age.py — Stellar age analysis: age constraints from stellar population synthesis
- 12_line_ratios.py — Line ratio diagnostics: [OIII]/Hβ vs [NII]/Hα BPT classification and shock models
- 13_energy_budget.py — Energy budget calculation: shock energetics, radiative losses, and total injected energy
- 14_scaling.py — Figure 3: Universal soliton scaling law M_soliton ∝ σ⁴ showing RBH-1, magnetars, and theoretical prediction
All scripts produce outputs in
site/figures/with JSON metadata logs for traceability. Run individual scripts via:python scripts/figures/XX_script_name.py
site/figures/figure_01_observation.png— Observation schematicsite/figures/figure_02_sensitivity.png— Falsification sensitivitysite/figures/figure_10_scaling.png— Soliton scaling law
- Python 3.10+
- NumPy 1.24+
- SciPy 1.10+
- Matplotlib 3.7+
- Astropy 5.0+
This document was automatically generated from the TEP-RBH research site. For the interactive version with figures and enhanced formatting, visit: https://matthewsmawfield.github.io/TEP-RBH/
Related Work:
- TEP Theory (Foundational framework)
- TEP-UCD Paper 6 (Universal Critical Density)
Source code and data available at: https://github.com/matthewsmawfield/TEP-RBH