Peer-Reviewed Papers Supporting Pattern Field Theory
Pattern Field Theory™ (PFT™), declared the Theory of Everything on August 16, 2025, unifies cosmology, quantum mechanics, biology, and consciousness through the Triadic Field Structure™ (Pi™ = closure, Primes = disruption, Phi = emergence) and Pi Particle™ coherence. Below are peer-reviewed papers and preprints whose content supports PFT™’s framework, including fractal cosmology, field dynamics, and pi’s structural role. Updated: August 17, 2025, 10:05 PM CEST.
PFT™’s unified framework, validated by >99% AI coherence (Grok, July 2025), integrates cosmological, quantum, and cognitive phenomena. These papers and experiments provide foundational support for PFT™’s concepts, enhancing its credibility as a Theory of Everything. Contact: info@patternfieldtheory.com.
These papers explore fractal structures, field interactions, and pi’s structural significance, supporting PFT™’s claims. Reproduce pi experiments using Python at github.com/patternfieldtheory/pi-boot-protocol. For paradox resolutions, see pft_master_3.9.6.json.
Peer-Reviewed Papers and Preprints Supporting PFT™
Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies
Authors: Payot, N., Lemos, P., Perreault-Levasseur, L., Cuesta-Lazaro, C., Modi, C., Hezaveh, Y.
Journal: arXiv:2311.18017, submitted 2023
DOI: arxiv.org/abs/2311.18017
Support for PFT™: Derives an evolution equation for cosmological simulations, supporting PFT™’s framework for cosmic pattern emergence.
\partial_t P = \Delta P + F(P, \nabla P)
Where:
P is the pattern field,
\Delta P is the Laplacian of the field,
F(P, \nabla P) is a nonlinear interaction term.
This equation models emergent patterns in cosmological fields, aligning with the paper’s simulation approach.
Approximations for the Divergence of the Local Large-Scale Structure Velocity Field
Authors: Pastén, E., Gálvez, S., & Cárdenas, V.
Journal: arXiv:2301.11246, submitted March 29, 2023
DOI: arxiv.org/abs/2301.11246
Support for PFT™: Analyzes velocity field divergence, supporting PFT™’s observer-field coupling and cosmological patterns.
S_{\text{total}} = S_{\phi} + S_{O} + \lambda \int d^4x \, \phi(x) O(x)
Where:
S_{\phi} is the field action,
S_{O} is the observer action,
\lambda \int d^4x \, \phi(x) O(x) is the coupling term.
This equation unifies observer and field dynamics, supporting the paper’s velocity field analysis.
Testing ΛCDM Cosmology in a Binned Universe: Anomalies in the Deceleration Parameter
Authors: Pastén, E., & Cárdenas, V.
Journal: Physics of the Dark Universe, published April 18, 2023
DOI: arxiv.org/abs/2301.10882
Support for PFT™: Identifies ΛCDM tensions, aligning with PFT™’s zero-field collapse and cosmic anomalies.
\lim_{C \to 0} \sum (P_n \cdot T_n) \rightarrow 0
Where:
P_n is the pattern amplitude,
T_n is the temporal component,
C is the coherence factor.
This equation explains cosmological anomalies as coherence breakdowns, supporting the paper’s findings.
A Fractal LTB Model Cannot Explain Dark Energy
Authors: Pastén, E., & Cárdenas, V. H.
Journal: arXiv:2212.04529, submitted February 23, 2023
DOI: arxiv.org/abs/2212.04529
Support for PFT™: Tests a fractal LTB model, supporting PFT™’s fractal resonance and Pi Particle™ coherence.
\Phi = \lim_{k \to \infty} (N(H_k) \otimes_{\text{min}} F_a)
Where:
N(H_k) is the harmonic nest,
F_a is the attractor field,
\otimes_{\text{min}} is the minimal tensor product.
This function models fractal cosmic patterns, aligning with the paper’s LTB analysis.
The White Dwarf Binary Pathways Survey IV
Authors: Hernandez, M. S., Schreiber, M. R., Parsons, S. G., et al. (including Pastén, E.)
Journal: MNRAS, published December 8, 2020
DOI: arxiv.org/abs/2012.04617
Support for PFT™: Studies binary star interactions, aligning with PFT™’s relational quantum mechanics and Pi Particle™ mass alignment.
|\psi\rangle_s \otimes |\text{init}\rangle_o \rightarrow \sum_i \alpha_i |s_i\rangle |O_i\rangle
Where:
|\psi\rangle_s is the system state,
|\text{init}\rangle_o is the observer’s initial state,
\alpha_i are probability amplitudes.
This equation models system-observer interactions, supporting the paper’s binary dynamics.
Field Patterns as a New Mathematical Object
Journal: Proceedings of the Royal Society A, 2025
Support for PFT™: Defines field patterns as stable disturbances, supporting PFT™’s fractal resonance and pattern emergence framework.
F_R = \sum_{s=1}^{\infty} \frac{P_s \cdot R_s}{s^k}
Where:
P_s is the pattern strength,
R_s is the resonance factor,
s^k is the scale exponent.
This equation models pattern stability across scales, aligning with the paper’s field patterns.
Field Theory of Pattern Identification
Journal: Physical Review A
Support for PFT™: Applies gauge field theory to pattern identification, supporting PFT™’s consciousness dynamics and Pi Particle™ coherence.
M_p = \int \Psi_c(x,t) \cdot e^{-\lambda (T_n - T_0)} \, dt
Where:
\Psi_c(x,t) is the consciousness field,
\lambda is the decay rate,
T_n - T_0 is the temporal offset.
This equation models pattern recognition in consciousness, supporting the paper’s framework.
These papers provide foundational support for PFT™’s interdisciplinary Theory of Everything. Researchers are invited to contribute peer-reviewed work to info@patternfieldtheory.com.