Informativity Institute · Research brief · 2 November 2026

The Bullet Cluster: an open test for MQ gravity

Observed spatial structure, the missing nonlinear prediction and the difference between an acceleration relation and a merger lensing map.

Recorded source milestone: September 8, 2026 · Brief prepared: November 2, 2026
Read the companion press release

Why this system is a spatial test

The Bullet Cluster, commonly designated 1E 0657-558 or 1E 0657-56, is a merging system in which optical galaxy concentrations, hot X-ray plasma and lensing structure occupy different locations. Clowe and colleagues’ 2006 study found the lensing concentrations near the galaxies rather than the dominant baryonic plasma. In the standard interpretation, collisionless dark matter and galaxies continue through the encounter while the plasma is slowed by ram pressure. [2]

Figure 1 is a qualitative overview of those tracers. It is not a measured mass map and does not assign observational coordinates, offsets or amplitudes. The modern reconstructions discussed below resolve more structure than the simple two-concentration picture. A theory must confront those spatial constraints rather than only reproduce a total cluster mass. [1] [3] [4]

Schematic of three Bullet Cluster tracersGold stars indicate galaxy concentrations, pink regions slowed gas and blue ellipses lensing concentrations near galaxies. Positions and shapes are illustrative, not measured maps or an MQ solution. Current reconstructions contain additional substructure. image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Galaxy concentration Slowed hot plasma Lensing concentration Three observational tracers must be compared spatially Gold: optical galaxies Pink: X-ray plasma Blue: lensing reconstruction Qualitative schematic only; no pixel coordinates, measured contours, offsets or calibrated scale.
Figure 1. Newly drawn schematic based on the qualitative tracer separation described in sources [1] and [2]. No measured contour, centroid, scale, orientation or MQ prediction is encoded. The two-concentration overview omits substructure resolved in newer studies [3] and [4].
Table 1: Observational tracers and the quantities they constrain
TracerDirect informationModeling needed before comparison
Optical and infrared galaxiesPositions, luminosities and member kinematicsMembership, stellar mass conversion and diffuse stellar light
X-ray plasmaSurface brightness, spectra, temperature and shock structureDensity, gas mass, geometry and thermodynamics
Weak lensingStatistical background-image shape distortionsSource selection, redshifts, instrumental corrections and lens reconstruction
Strong lensingMultiple-image positions and redshiftsImage identification, source distances and a lens model

Table 1 separates observed signals from inferred quantities. A blue region in a lensing visualization is not light emitted by dark matter. It represents an inferred gravitational distribution under a stated reconstruction. That distinction does not weaken the need to explain the observed image distortions and spatial separation. It specifies the observables and assumptions an alternative theory must calculate. [1] [2]

The data have advanced beyond the original overview

Cha and colleagues’ 2025 JWST study combined 146 strong-lensing constraints from 37 systems with a high-density weak-lensing catalog. Their reconstruction did not assume that light traces mass. It resolved an elongated main-cluster distribution with at least three subclumps and a more compact subcluster, and discussed a more complex merger history than a simple binary description. These are observational-model results, not an MQ merger calculation. [3]

Rihtaršič and colleagues’ 2026 study used 135 secure multiple images from 27 spectroscopically confirmed background galaxies, as well as a larger candidate catalog. It modeled an elongated double-peaked main component and a subcluster halo close to its brightest cluster galaxy. It also reported differences in detailed mass distribution between lens models using different constraints and strategies. That sensitivity must enter a fair comparison; a single smoothed map should not be treated as an uncertainty-free target. [4]

The papers therefore supply more than a demand for two peaks. A comparison must address image positions, source redshifts, extended structure, resolution and modeling uncertainty. It should predict the actual lensing data where feasible, rather than rely only on the visual similarity of reconstructed contours. [1] [3] [4]

What the stationary MQ relation does supply

Let 𝑔bar(𝑅) be the Newtonian baryonic acceleration and 𝑔real(𝑅) the realized acceleration at the same radius in the stationary spherical construction. The radial coordinate 𝑅 is measured in metres. Let 𝑎MQ be the positive MQ acceleration scale fixed upstream for the comparison epoch. All three have units m s⁻². Equation (1a) is the source’s stationary realization relation, not a complete time-dependent merger equation. [1]

𝑔real(𝑅)=𝑔bar(𝑅)1−exp(−𝑔bar(𝑅)𝑎MQ)(1a)

The relation enhances the weak-acceleration response relative to the Newtonian baryonic source and approaches the Newtonian limit at high acceleration. The institute account uses it in a spherical light-deflection consistency calculation and an exterior asymptotic limit. Those calculations connect stationary dynamics and lensing under their metric assumptions. They do not determine an arbitrary nonspherical, shocked merger by applying the scalar relation independently to image pixels. [1] [6]

In MQ terminology, primitive configuration belongs to the Internal Frame and realized observables to the System Frame, connected through the Frames mapping. The required cluster result is an evolved System Frame geometry generated by a specified material source. The current account invokes an action-derived realized stress-energy and field evolution. Stating that framework is a different achievement from solving it numerically for this cluster. [1] [8]

From a force magnitude to the observed lensing field

Galaxy dynamics constrains a gravitational acceleration, whereas lensing depends on the spacetime metric along light paths. In a weak-field treatment, both temporal and spatial metric perturbations matter to deflection. Any assumed relation between their potentials, often discussed as gravitational slip, must be justified by the theory. A radial force magnitude alone cannot determine every lensing observable. [1] [6]

Once the appropriate weak-field metric is available, a projected lensing potential can be constructed under the thin-lens assumptions. Its second angular derivatives describe convergence, the locally isotropic focusing, and shear, the anisotropic image distortion. Weak-lensing shapes constrain reduced shear; strong-lensing multiple images constrain the lens mapping more directly. The distances to lens and sources, projection convention and boundary conditions belong in the forward model. [1] [6]

For a dynamical merger, the calculation needs a three-dimensional baryonic distribution, gas pressure and shocks, galaxy motions, initial conditions and viewing geometry. The realized source and metric must evolve consistently with conservation and the field equations before photons are propagated through the geometry. A common prescription must then predict lensing peak locations, amplitudes and shapes while respecting the gas and galaxy observations. [1]

Causal propagation is not a free memory parameter

The current institute discussion uses a causal weak-field limit and rejects an arbitrary long-lived gravitational lag as an explanation. Its simple timescale comparison uses 720 kpc, the original paper’s projected galaxy-concentration separation. This is not a measured gas–lensing centroid offset, a full three-dimensional path length or an encounter age. [1] [2]

Shock speed and subcluster speed must also be separated. Springel and Farrar’s 2007 hydrodynamical model produced a shock moving at about 4500 km s⁻¹ while the subcluster mass centroid moved at about 2600 km s⁻¹. These were model-dependent values. The source’s 2600–2700 km s⁻¹ range is used below only as an illustrative alternative speed range, not as two independent velocity measurements. [1] [5]

Table 2 divides the same 720 kpc scale by the stated speeds. The calculation uses exact vacuum light speed 299792.458 km s⁻¹, a Julian year of 31557600 s and the parsec convention of 648000 astronomical units divided by pi, with one astronomical unit equal to 149597870.7 km. Displayed times are rounded. These unit conversions do not assign a measurement uncertainty to the adopted projected scale.

Table 2: Calculated crossing times for the same illustrative projected scale
Propagation or motion speedTime across 720 kpc (Myr)Time / light-crossing time
Vacuum light speed2.3481
2600 km s⁻¹270.773115.305
2700 km s⁻¹260.745111.034
Calculated times across a fixed projected scaleLight crosses seven hundred twenty kiloparsecs in about two point three five million years. Crossing the same distance at twenty-six or twenty-seven hundred kilometres per second takes about two hundred seventy-one or two hundred sixty-one million years. These are scale comparisons, not inferred merger ages. image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 0 0 1 0 1 1 0 2 Time to cross the same 720 kpc scale (million years) Light crossing at vacuum light speed Crossing at 2700 km/s Crossing at 2600 km/s 2.35 260.74 270.77 A weak-field propagation delay is a much shorter clock Constant-speed comparison across a projected scale; neither an encounter age nor a gas–lensing offset. The two subcluster speeds are illustrative alternatives, not independent measurements.
Figure 2. Table 2 shown on a logarithmic time axis. The constant-speed material crossings take over one hundred light-crossing times. These scale comparisons are neither merger ages nor measured centroid delays, and the two material speeds are alternative illustrative choices.

During one light-crossing time of that scale, motion at 2600–2700 km s⁻¹ covers only about 6.24–6.48 kpc. Figure 2 therefore makes an ordinary causal propagation timescale very different from a freely chosen hundreds-of-millions-of-years memory time. Within the cited weak-field framework, the observed morphology cannot simply be assigned to such an adjustable lag. [1]

This diagnostic is not a nonlinear stability proof, a simulation of field transients or a derivation of every possible merger-history effect. Any viable spatial offset must emerge from the actual realized source and metric evolution. The timescale arithmetic does not provide that missing solution. [1]

What would count as a completed MQ test

Table 3: Required products for a quantitative Bullet Cluster comparison
StageRequired productAssessment target
Independent source specificationGas and stellar inventory, initial velocities, geometry and uncertaintyConsistency with the observational source constraints
Dynamical evolutionConserved baryonic merger and action-derived realized sourceGas morphology, shocks, galaxy positions and epoch
Metric and light propagationSolved metric with justified potential relations and ray tracingPredicted lensing observables without a separate fitted halo
Data comparisonImage and shear residuals, centroid uncertainty, amplitudes and resolutionSpatial agreement with frozen analysis choices
RobustnessSource, projection, boundary and reconstruction sensitivityFailure modes, degeneracies and comparative performance

Table 3 gives concrete deliverables rather than a claim of completion. Independent baryonic source information must remain separate from the lensing target used to assess the prediction. If target lensing peaks are used to tune the source or a cluster-specific response, that dependence must be disclosed. A new invisible collisionless component would alter the stated baryonic-only claim. [1] [7]

Uncertainty must include source reconstruction, viewing angle, member selection, source redshifts, correlated lensing errors and relevant reconstruction degeneracies. A favorable integrated mass is not enough if the predicted concentrations appear in the wrong places. Conversely, a model-dependent difference between published reconstructions should be tested through the underlying constraints and sensitivity analysis, not selected opportunistically. [1] [3] [4]

The standard dark-matter interpretation remains the observational benchmark. The MQ source proposes a different origin for the inferred geometry and explicitly treats the Bullet Cluster as a falsification test. Neither a galactic rotation comparison nor the stationary deflection consistency relation establishes that MQ has reproduced this merger. [1] [2] [7]

Chronology and reporting status

The original lensing study was published in 2006; the newer JWST analyses cited here were published in 2025 and 2026. September 8, 2026 is the recorded source milestone used for this retrospective MQ archive entry, not the date of the original observation or a completed MQ fit. This Brief was prepared November 2, 2026 using the inspected public sources. [1] [2] [3] [4]

The current institute account explicitly states that the completed numerical experiment has not yet been performed. This Brief verifies the observational-source distinctions and crossing-time arithmetic; it does not perform a merger simulation or fit a lensing map. For an interview, request the evolved baryonic source, metric solution, ray-tracing products and frozen residual analysis before using the word explained. [1]

Research sources and further reading

  1. Informativity Institute, Galaxy Clusters and the Bullet Cluster. Current technical explanation, especially From a deflection angle to a lensing map, Causality does not provide an adjustable gravitational lag, and The Bullet Cluster is therefore a falsification test. Explicitly states that completed nonlinear merger evolution and the numerical Bullet Cluster comparison remain outstanding. Open source →
  2. D. Clowe, M. Bradač, A. H. Gonzalez, M. Markevitch, S. W. Randall, C. Jones and D. Zaritsky, A Direct Empirical Proof of the Existence of Dark Matter, Astrophysical Journal Letters 648, L109–L113 (2006), DOI 10.1086/508162. Original optical, X-ray and weak-lensing comparison; 0.72 Mpc is the projected separation of the two principal galaxy concentrations. Open source →
  3. S. Cha et al., A High-Caliber View of the Bullet Cluster through JWST Strong and Weak Lensing Analyses, Astrophysical Journal Letters 987, L15 (2025), DOI 10.3847/2041-8213/add2f0. Author preprint submitted March 27, 2025, revised July 5, 2025. Reports resolved substructure and combined strong- and weak-lensing reconstruction. Open source →
  4. G. Rihtaršič et al., Mapping dark matter in the Bullet Cluster using JWST imaging and spectroscopy, Astronomy & Astrophysics 710, A207 (2026), DOI 10.1051/0004-6361/202659214. Author preprint submitted January 29, 2026, revised July 1, 2026. Spectroscopic constraints and comparison of model-dependent mass distributions. Open source →
  5. V. Springel and G. R. Farrar, The speed of the bullet in the merging galaxy cluster 1E0657-56, Monthly Notices of the Royal Astronomical Society 380, 911–925 (2007), DOI 10.1111/j.1365-2966.2007.12159.x. Hydrodynamical models distinguish the bow-shock speed from the subcluster mass-centroid speed. Their model values are not an MQ simulation or direct velocity measurement. Open source →
  6. Informativity Institute, Gravitational Lensing. Related explanation of deflection, projected lensing observables and the need for a realized metric. Open source →
  7. Informativity Institute, Predictions of Measurement Quantization. Broader test context; galactic response and a completed merger prediction are separate evidentiary steps. Open source →
  8. Informativity Institute, Frames of Reference. Current meanings of Internal Frame, System Frame and Frames mapping. Open source →

Prepared November 2, 2026. Source status and conditional crossing-time calculations checked. Figure 1 is a qualitative schematic; Figure 2 is a scale comparison. Neither is a completed MQ lensing reconstruction.

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