Field Medium Initiative: Computational Physics Frameworks
Ontological Agnosticism & Ultimate Speed
Much of modern physics is bogged down in unresolvable debates about the true nature of reality—whether the universe is a probability wave, a string, or a hologram. The Anastasov Field Medium Initiative bypasses this philosophical gridlock entirely through strict computational pragmatism.
Our guarantee is simple: Regardless of what the universe is, our continuous-variable kinematic engines calculate what it does faster than any other known framework. By replacing abstract multidimensional tensors and probabilistic wavefunctions with $O(N^2)$ deterministic hydrodynamics, we deliver the exact same empirical numbers at a fraction of the computational cost.
Operating at a time of unprecedented open-source scientific enthusiasm, this repository serves as a centralized archive for computational physics frameworks that push the boundaries of established science. Standing firmly on the shoulders of the Newtonian giants who laid our mathematical foundations, our mission is not to discard their legacy, but to boldly optimize it. By integrating the strict Quality Assurance (QA) standards, high-throughput testing, and data-driven methodologies of the modern IT revolution, we seek faster, more stable, and highly predictable mechanical solutions to the universe's most complex problems.
We do not guess whether Schrödinger's cat is dead or alive in a probabilistic superposition. Instead, we leverage the raw power of modern continuous-variable computing to look inside the box—to calculate exactly when it drank the milk, where it scratched the walls, and the precise trajectory it will take the moment the lid is opened. This is physics processed through the lens of extreme engineering.
Rather than challenging the empirical validity of standard models, this project advocates for epistemic pluralism—the active maintenance of multiple concurrent theoretical ontologies to process data. But philosophical pluralism is meaningless without raw empirical validation. By treating the laws of classical physics as a strict computational engine subject to modern QA standards, we bring these theories out of the abstract and into the code.
By offering these models as a rigorous intellectual stress-test, we demonstrate that astronomical phenomena, subatomic NIST benchmarks, and massive QM9 chemical databases can all be accurately reproduced through classical fluid kinematics (which essentially operates as an applied vector calculus framework), vector dynamics, and hydrodynamic drag. We treat the vacuum as a polarizable "Field Medium." Crucially, this is not a mystical 19th-century aether; it is simply the aggregate of all interacting fields—the underlying equations and cumulative effects that make up the "software" calculating the universe. By operating strictly within this flat Euclidean space, we push the boundaries of deterministic mechanics to their absolute computational limit.
How to Cite
If you utilize these theoretical frameworks, simulation scripts, or data audits in your research, please cite this repository:
Anastasov, I. (2026). Anastasov Theory: Unified Research on Alternative Physics, Mathematics, and Futurology. Zenodo. DOI: 10.5281/zenodo.19707919
Computational Scarcity of Viable Alternative Frameworks: The Litmus Test
A common misconception in modern physics is that the academic landscape is flooded with viable alternative theories. However, when filtered by the strict requirement of computational execution—the ability to compile a theory into a 100% working, open-source physics engine that reproduces real-world datasets—the number of viable alternatives drops to near zero.
The Anastasov Field Medium Initiative does not compete in the realm of philosophical interpretation. It competes in structural physics simulations. The underlying code is fully open-source, mathematically transparent, and subjected to rigorous public auditing, currently seeing hundreds of repository clones weekly by independent researchers.
Why EVM is Computationally Unique
Unlike standard classical Molecular Mechanics (MM) force fields, the Anastasov EVM engine does not use arbitrary, hand-coded springs, nor does it enforce predefined valency rules. We do not program a Carbon atom to have a $sp^3$ 109.5° tetrahedral geometry. There are no "octet-rule" patches.
Instead, complex stereochemistry, geometric constraints, and homolytic bond dissociation emerge autonomously from pure classical kinematics. By balancing standard Coulomb electrostatics with the Anastasov-RAKTS Phase Exclusion constraint, EVM algorithmically calculates molecular structure from the ground up, entirely bypassing the $O(N^3)$ computational bottleneck of the Schrödinger equation.
The Computational Landscape of Alternative Physics
| Domain | Established Standard | Viable Computational Alternatives | Anastasov Framework | Parity & Advantage |
|---|---|---|---|---|
| Weak-Field Gravity / Cosmology (99.9% of the cosmos) |
General Relativity (GR), $\Lambda$CDM | < 10 (e.g., MOND, TeVeS, f(R) gravity) |
Euclidean Field Relativity (EFR) | 99.9% observational parity with GR, but computed via continuous fluid optics and structural impedance rather than curved spacetime geometry. Extremely fast rendering. |
| Subatomic & Chemical Spin | Quantum Mechanics (Schrödinger / Dirac) | 0 (No known deterministic alternative has scaled to simulate molecular bonds on massive datasets) |
Rapid Alignment Kinematic Theory of Spin (RAKTS) | The only known classical engine (EVM) to achieve 99.96% structural stability and an average RMSD of 0.013 Å across 134,000+ QM9 molecules, using purely classical hydrodynamic drag and continuous boundary conditions. |
(Note: While machine learning (ML) models can predict QM9 geometries with high accuracy, they represent statistical interpolations of Quantum Mechanics, not independent physical theories. EVM is a fundamental, point-charge kinematic physics engine.)
Preliminary Benchmarks & Computational Validations
Rather than proposing a single unified field theory, the Anastasov Theory is a multi-disciplinary initiative exploring mechanical, flat-space analogues to standard physics, mathematics, and computing. At its core are two distinct kinematic models: Euclidean Field Relativity (EFR) for macroscopic gravity, and the Rapid Alignment Kinematic Theory of Spin (RAKTS) for subatomic mechanics.
The framework extends beyond theoretical derivations, encompassing empirical raw-data audits (such as the NIST Bell Test analysis), hydrodynamic computing architectures, and alternative cryptography. Below is a summary of the preliminary results, empirical validations, and computational simulations demonstrating quantitative parity with standard General Relativity (GR) and Quantum Mechanics (QM) benchmarks:
| Phenomenon / Benchmark | Standard Physics Value (GR / QM) | Field Medium Model Result (EFR / RAKTS) | Simulation & Parity Status |
|---|---|---|---|
| Mercury Anomalous Precession | $43.0''/\text{century}$ (GR) | $43.0''/\text{century}$ (EFR flat-space vector kinematics) | Recovers exact precession value without curved spacetime geometry |
| GPS Satellite Time Dilation | $38.6\,\mu\text{s/day}$ (GR + SR) | $38.6\,\mu\text{s/day}$ (EFR index of refraction & drag) | Parity with relativistic time dilation equations |
| White Dwarf Redshift (WD 0738-172) | $+34.430\,\text{km/s}$ (GR redshift) | $+34.430\,\text{km/s}$ (EFR medium impedance) | Verified via VLT/UVES archival spectra audit |
| Methane Bond Angle ($\text{CH}_4$) | $109.5^\circ$ (QM $sp^3$ orbital hybridization) | $109.5^\circ$ (RAKTS boundary layer friction minimization / Steric Shielding) | Derived via classical hydrodynamic boundary minimization |
| Water Bond Angle ($\text{H}_2\text{O}$) | $104.5^\circ$ (QM valence shell repulsion) | $104.5^\circ$ (RAKTS boundary layer friction minimization) | Derived via classical hydrodynamic boundary minimization |
| QM9 Database Chemistry Benchmark | $O(N^3)$ to $O(N^4)$ complexity (DFT scaling) | 99.96% Structural Survival / $O(N^2)$ scaling (Anastasov EVM) | Differentiable classical tensor simulation bypasses Schrödinger bottleneck |
| NIST IR Spectroscopy Frequencies | NIST standard database | <1.5% average deviation (RAKTS classical damped spring mechanics) | Parity with standard infrared absorption databases |
| Stern-Gerlach Split | Discrete spin quantization (QM) | Deterministic Vector Snap (RAKTS Landau-Lifshitz hydrodynamic drag) | Reproduced deterministically without probabilistic wave collapse |
| Frisch-Segrè Spin Transition | Non-adiabatic spin flip (QM) | Hydrodynamic drag lag ($\Delta t_{\text{flight}} < \tau_{\text{drag}}$) | S-curve reproduced as function of flight-time vs. drag lag |
| Weak Equivalence Principle limit | $|\Delta\alpha/\alpha| = 0$ (GR assumption) | $|\Delta\alpha/\alpha| \le 4.1 \times 10^{-6}$ (EFR permittivity gradient limit) | Empirical upper bound established from archival data audit |
| Turing-Complete Computing | Qubits / Transistors | RAKTS Kinematic NAND Gate (competitive background bias) | Turing completeness verified in continuous-variable fluid simulation |
"No matter the true nature of reality, EVM simply calculates it the fastest."
— I. Anastasov
Track 1: Euclidean Field Relativity (EFR)
EFR demonstrates a strict 1-to-1 algebraic isomorphism with the post-Newtonian limit of General Relativity. By modeling gravitational potential as variable medium impedance, it recovers geometric predictions using highly optimized flat-space vector kinematics.
- Orbital Precession: Recovers the exact 43.0"/century anomalous precession of Mercury without tensor calculus.
- Signal Transit: Maps the Shapiro time delay and GPS temporal dilation (38.6 $\mu$s/day) via index of refraction gradients and kinematic drag.
- Observational Limits (VLT/UVES): Includes a raw data audit of archival white dwarf spectra (WD 0738-172). Establishes macroscopic parity with GR (+34.430 km/s) and sets a rigorous observational upper bound of $|\Delta\alpha/\alpha| \le 4.1 \times 10^{-6}$ for testing element-specific quantum divergence.
- Interactive Tests: Run the Jupyter Physics Engine.
Track 2: Quantum Kinematics (RAKTS)
The Rapid Alignment Kinematic Theory of Spin replaces abstract probability wavefunctions with localized, continuous energy streams interacting within a resistive Field Medium. Operating as a comprehensive deterministic ontology, RAKTS achieves unprecedented mathematical parity with standard QM across a vast array of domains—from subatomic mechanics and cryptography to NIST empirical audits.
- Spin & Measurement: Simulates the Stern-Gerlach split and Frisch-Segrè (1933) S-curve without probabilistic superposition, utilizing continuous Landau-Lifshitz hydrodynamic drag.
- Spectroscopy: Matches NIST IR vibrational frequencies within a <1.5% average deviation using classical damped spring mechanics.
- NIST Bell Test Verification: RAKTS natively maps standard violations of Bell's inequalities through deterministic propagation delays (L-Frame time dilation), effectively resolving the local-realism paradox without superluminal 'spooky action'.
- Turing-Complete Analog Computing: Translates RAKTS fluid mechanics into the Continuous-Variable Kinematic Computer, proving that background fluid noise can be harnessed as a computational medium via a universal RAKTS Kinematic NAND gate.
- Interactive Tests: See the RAKTS Validation Dashboard.
Track 3: Emergent Valence Mechanics (EVM)
Emergent Valence Mechanics (EVM) is a high-throughput, differentiable computational chemistry engine built entirely as a proof-of-concept for the RAKTS deterministic ontology. By replacing probability wavefunctions with macroscopic fluid-dynamic vortices and employing the Anastasov-RAKTS Phase Exclusion proxy, EVM dramatically shatters the computational limits of standard computational chemistry.
- O(N²) Linear Scaling: EVM entirely bypasses the $O(N^3)$ scaling bottleneck of the Schrödinger equation and Density Functional Theory (DFT), operating flawlessly in a linear tensor environment.
- 99.96% QM9 Benchmark Accuracy: When applied to the 134,000+ stable molecules of the QM9 dataset, the Anastasov EVM Engine achieved a 99.96% structural survival rate with an average RMSD of 0.013 Å.
- Intrinsic Differentiability: Built exclusively in PyTorch, EVM is 100% differentiable out of the box, allowing Neural Networks to be trained directly on the laws of classical physics.
- Autonomous VSEPR: Resolves complex 3D molecular structures natively via Anastasov Steric Nuclear Shielding and spin pairing, without requiring hard-coded equilibrium angles.
The Falsifiability Challenge
A theoretical framework in physics is only as robust as its capacity to be proven wrong. We have compiled a catalog of 9 highly specific, falsifiable experimental predictions spanning quantum kinematics, astrophysics, and molecular chemistry.
If any of these experiments yield the orthodox prediction over the Anastasov prediction, the respective Field Medium framework is formally falsified. We invite the experimental physics community to test these claims.
| Proposed Experiment | Standard Physics Prediction | Anastasov Theory Prediction |
|---|---|---|
| Gravity Threshold Test | Entanglement is non-local and unaffected by gravity | Bell violations shift with gravitational potential |
| Lattice Artifact Test | Detectors register discrete point-particle photons | Non-Euclidean detectors fail to produce standard quantized clicks |
| Post-Trap Dissipation | Isolated electrons are eternally stable particles | Electrons dissipate into background radiation in a "dead vacuum" |
| Electron Mutation Catalog | All electrons are identical point-particles | Measurable mass/charge variance based on parent environment |
| White Dwarf Spectra Test | Uniform gravitational redshift across all elements | Element-specific differential redshift ($\Delta v \neq 0$) |
Theoretical Extrapolations & Future Horizons
While the core modules (EFR and RAKTS) are computationally anchored to established empirical data, our upcoming research explores how the Field Medium paradigm maps to cosmological anomalies and sub-chemical assembly. In accordance with Epistemic Pluralism, these tracks are separate, independent models and are not unified into a single Theory of Everything:
- Track 1: EFR Cosmology & Navigation: Exploring viscous damping for gravitational waves, flyby anomalies, and alternative models for Dark Matter and the Hubble Tension. Includes the swarm explorer roadmap (Project "Deep Space Sieve").
Explore EFR Cosmology & Navigation - Track 2: RAKTS Defenses & Methodology: Addressing quantum objections (Bell's Theorem, Stern-Gerlach, double-slit experiment) and exploring sub-chemical Precision Kinematic Assembly.
Explore RAKTS Defenses
Philosophy of Science and Pedagogy
The underdetermination of theory by data is one of the most established principles in the philosophy of science. Yet modern physics education proceeds as though underdetermination does not exist. This paper argues that the systematic exclusion of viable alternative ontologies from physics curricula constitutes a form of epistemic negligence, and proposes the integration of computational model-comparison exercises into graduate education as a practical remedy.
Mathematics and Computer Science
The Prime Number Illusion
A mathematical exploration demonstrating that prime numbers are artifacts of artificial discrete perception (base unit definitions) rather than fundamental, structurally immutable properties of an analog universe. This module investigates the transition boundaries between discrete mathematics and continuous field mechanics, with potential implications for modern cryptographic assumptions.
Contact
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