Inside the Simulation Suite
This framework is not presented merely as a verbal reinterpretation of existing cosmological data, an alternative story told about the same underlying numbers, and it does not ask to be evaluated as one. It makes explicit, checkable simulation-level claims. If large-scale organization, apparent recession structure, rotational hierarchy, and related observational signatures can be reproduced, at least qualitatively, under this framework's own assumptions, without invoking the standard dark matter and dark energy package anywhere in the code, then the framework becomes empirically vulnerable in a stronger and more useful way than a purely rhetorical alternative could ever be.
It's worth being explicit about why simulation, specifically, matters so much more than argument alone in this context. A verbal description of a mechanism can always be adjusted, after the fact, to sound consistent with whatever the data eventually shows, a flexibility that makes purely verbal theorizing notoriously difficult to hold accountable. A running simulation, with its assumptions and initial conditions fixed and published before the results are examined, doesn't have that flexibility. Once the code is written and the parameters are set, the output is whatever the mathematics actually produces, not whatever would be convenient to claim afterward. That's precisely what makes a working simulation a stronger form of evidence than a compelling narrative, even when both are pointing toward the same conclusion: the simulation can genuinely fail, in a way a sufficiently flexible verbal argument rarely does.
Six Working Simulations, Open to Anyone
Six proof-of-concept simulations have been developed and made available as open-source, interactive demonstrations, all implemented in standard JavaScript with no external dependencies, meaning anyone with an ordinary, unmodified web browser can run them directly and immediately, with Python reference implementations also made separately available for researchers who prefer a scriptable, script-based environment instead. The full universe simulation demonstrates pre-ignition gravitational sorting, the Big Flare-Up cascade itself, post-ignition thermal equilibrium, vortex formation, and continuous CMB temperature tracking, all within one running model. A dedicated vortex formation simulation demonstrates that gravitational vortices form naturally from confirmed physics alone, across all three formation mechanisms discussed in Paper Six.
A galaxy gravitational sorting simulation demonstrates the emergent Hubble Law directly, the same simulation referenced throughout this framework's discussion of galactic recession: 200 galaxies with random initial conditions produce a Pearson correlation of 0.675 between distance and recession velocity after sorting, with 84% of surviving galaxies found to be receding, a result independently verified on Google Colab by parties outside the original research. A flat rotation curve simulation demonstrates vortex dynamics producing flat rotation without any dark matter component: 200 bodies produce a flat rotation curve with an outer-to-inner velocity ratio of 0.71, rising to between 0.78 and 0.85 at larger body counts, with angular momentum conserved throughout the entire run.
A separate simulation, built around the metaphor of an invisible loom, shows pre-ignition gravitational sorting producing the cosmic web's filament structure before the Big Flare-Up ever occurs: hydrogen emerges continuously from the underlying substrate, gravity forms filaments and dense nodes from it, and the flare-up fires automatically once fusion density is reached somewhere, cascading along the pre-existing structure and revealing it, exactly as described in Papers Eight and Nine. Post-ignition, the same simulation demonstrates ongoing, ordinary star formation continuing indefinitely. Finally, a highway analogy simulation demonstrates gravitational sorting as the literal mechanism behind galactic recession, visually: vehicles on incompatible trajectories collide and are eliminated, and what remains sorts itself into parallel, diverging streams, showing directly why Hubble-like recession doesn't require expanding space to produce it.
Archived, Citable, and Open for Extension
The complete simulation source code is freely and openly available for download, and is permanently archived with a citable DOI through Zenodo, meaning the specific version of the code underlying these results is preserved indefinitely and cannot be quietly altered after the fact. The invitation extends beyond simply viewing the results: computational astrophysicists with access to supercomputing facilities are directly invited to collaborate on designing and running a full-scale version of this simulation. The required computing scale, while substantial, sits within reach of existing national and institutional supercomputing resources already in operation. Building it would mean taking established, already validated gravitational and hydrodynamic simulation frameworks already used widely across the field, modifying them to remove Big Bang-specific assumptions, and implementing the open-world boundary condition this framework proposes instead. This is described, deliberately, as a tractable engineering problem instead of a speculative one, and the question a full-scale run would settle, whether large-scale structure genuinely emerges from these initial conditions without any imposed expansion history, is decisive and falsifiable on its own terms, independent of anything else in this framework.
What the Simulation Actually Does, Without Being Told To
The simulation operates under four conditions, stated plainly: N-body gravitational dynamics as the sole organizing force, with nothing else added; hydrogen-only initial matter, with no structure seeded into the starting conditions by hand; open-world boundary conditions, in which matter exiting one edge of the simulated volume is balanced by equivalent hydrogen entering from the opposite edge, representing the continuous matter production of the infinite substrate established in Paper Eight; and a fusion threshold based purely on local matter density, directly analogous to the standard, well-established Jeans instability criterion already used throughout astrophysics.
From those four inputs alone, without any of the following outcomes being separately programmed in, the simulation produces: self-organized clustering and void formation consistent with observed large-scale structure; a genuine three-phase ignition sequence, in which a pre-ignition field of drifting matter self-organizes until local density thresholds trigger a cascading ignition event, the Big Flare-Up itself, after which the field settles into a permanently altered post-ignition state; dynamic CMB tracking that holds steady near 2.725 kelvin during the pre-ignition phase and stabilizes near 2.82 kelvin afterward; and gravitational vortex formation events, in which collapsing high-mass remnants produce void openings and jet ejections directly, with no singularity appearing anywhere in the code.
The Honest Limitations
These results are offered explicitly as a proof-of-concept demonstration, not as a final, cosmologically validated simulation, and the limitations are stated directly instead of buried. The simulation runs in two dimensions, not three. Its timescales are dimensionless and deliberately compressed, not calibrated to real elapsed time. Its particle counts are far below the scale that would be required for genuine cosmological fidelity. It is published openly with the specific intention of inviting researchers with access to greater computational resources to extend it, challenge it, and test it at a scale that would actually constitute formal scientific validation, instead of being presented as though the proof-of-concept version already settles the matter. The source code itself is documented and structured specifically to support that kind of extension by other researchers, not merely to produce a one-off demonstration video.
It's worth being specific about what scaling this simulation up would actually require, instead of leaving the invitation vague or abstract. Moving from two dimensions to three multiplies the computational cost substantially, since gravitational force calculations between particles scale unfavourably with particle count even before the added dimension is accounted for. Moving from dimensionless, compressed timescales to something calibrated against real physical units requires careful cross-checking against known astrophysical rates, stellar fusion timescales, galactic dynamical timescales, so that the simulation's internal clock can be meaningfully related to actual elapsed cosmic time. And moving to cosmologically realistic particle counts, enough individual bodies to meaningfully represent galaxy-scale and cluster-scale structure instead of a small illustrative sample, is exactly the kind of computational demand that existing supercomputing infrastructure, already used for standard cosmological simulations like IllustrisTNG or EAGLE, is well suited to handle, if a research group were willing to adapt that infrastructure to this framework's specific initial conditions instead of the standard model's.
Independent replication and scaling of this simulation, starting from only confirmed physics and hydrogen as the initial condition, constitutes a genuinely falsifiable test of this framework's core claims about how structure emerges. If a properly scaled, three-dimensional version, built by researchers with no stake in the outcome, fails to reproduce anything resembling the large-scale structure actually observed in the universe, that would count as real evidence against the mechanism proposed here, not evidence that could be explained away after the fact, and that possibility is stated here plainly instead of hedged around.
A Note on Where This Work Comes From
The history of science includes numerous instances of substantive contributions from researchers working outside the established academic structures of their own era. The value of a theoretical proposal is properly determined by its logical consistency, its explanatory power, and the testable predictions it makes, not by the institutional affiliation of whoever happens to be making it. This entire collection is offered in that spirit, presented for evaluation on its scientific merits, with the working code, the raw simulation results, and the underlying mathematics all made available for exactly that evaluation to take place, instead of asking for trust in place of verification.
All DOIs linked below.