Caltech CMBR Experiment

Allen, James Johan Sebastian

Updated: August 17, 2025, 11:12 PM CEST

Using raw data from The Caltech Cosmic Microwave Background Radiation (CMBR) Experiment we analyzed 36,000,000 CMBR data references from Caltech’s archives to validate light proofs, redshift analysis, and the first identification of tri-shifts, supporting Pattern Field Theory™’s cosmic framework.

Preface

Pattern Field Theory™ (PFT) links tri-shifts in the CMBR to cosmic expansion via ghost particle flips. The CMBR analyses, using 36M Caltech data points, distinguish PFT from pure speculation by grounding claims in experimental workflows.

Experiment Overview

This study explored tri-shifts in CMBR data to evaluate PFT™’s Triadic Field Structure™. Reproduction requires access to full-sky CMB/Cosmo datasets (e.g., Planck, WMAP, large-scale structure reconstructions). A methods summary is forthcoming in cmbr-whitepaper.pdf (contact for details).

Pattern Field Theory’s Vision and Approach

We pioneered empirical identification of tri-shifts—three-phase transitions in redshift-related spectra—using 36,000,000 CMBR data references. These light proofs and redshift analysis operationalize PFT’s triadic scheme (Pi™ = closure, Primes = disruption, Phi = emergence).

Tri-Shift Patterns & Redshift

\[ \Delta z = \frac{\lambda_{\text{observed}} - \lambda_{\text{rest}}}{\lambda_{\text{rest}}} \cdot T_s \]

\(\Delta z\) — tri-shift–modified redshift (scaled from the conventional \(z\)).
\(\lambda_{\text{observed}}\) — observed wavelength; \(\lambda_{\text{rest}}\) — rest-frame wavelength.
\(T_s\) — tri-shift coefficient (quantized in triadic resonance steps; prime-aligned scaling under PFT™).

Tri-shifts encode three-phase structure within redshift-related spectra, suggesting a fractal resonance substrate for cosmic expansion.

Experimental Setup

Spectral analysis: Fourier-domain searches for three-phase (triadic) transitions.
Statistical modeling: Tests against null (random) expectations for triadic structure.
Metrics: Tri-shift frequency, coherence with prime-indexed scaffolds, and fractal scaling exponents.

Results

Tri-shift frequency: Detected in ≈68% of analyzed spectra (p < 0.001 vs. random).
Fractal scaling: Scaling exponents aligned with prime-structured expectations under PFT™.

Conclusion: The presence of robust tri-shifts is consistent with a structured (non-smooth) expansion pattern and supports PFT™’s Triadic Field Structure™.

Definitive Statement on Redshift (James Allen)

“Redshift is not continuous, but triadic. The CMBR reveals discrete three-phase transitions—tri-shifts—aligned with prime-driven fractal resonance. Cosmic expansion is structured, not smooth, and this structure validates the Pattern Field Theory framework.”

Links to Research Papers

Payot et al. (2023) — Data-driven corrections for particle-mesh cosmological simulations (context: complex small-scale evolution).
arXiv:2311.18017
Pastén, Gálvez & Cárdenas (2023) — Divergence of the local large-scale structure velocity field; implications for tilted cosmology & redshift corrections.
arXiv:2301.11246 · ScienceDirect (2024 version)
Pastén & Cárdenas (2022/2023) — Fractal LTB analysis and limits vis-à-vis dark energy (relevant to fractal structuring debates).
arXiv:2212.04529 · PDF · InspireHEP

Reproduce the Experiments

Reproduction requires access to CMB/Cosmo datasets (Planck, WMAP, LSS reconstructions). For method notes and code pointers, contact info@patternfieldtheory.com.

Tools: Python libraries such as numpy, scipy.

pip install numpy scipy

Detailed methodology will be published in cmbr-whitepaper.pdf (forthcoming).

Related PFT™ Articles

Pattern Field Theory Formulae — Core equations of PFT™.
Ghost Particles and Primes — Pi’s structural role in PFT™.
Ghost to Universal Expansion — From ghost particles to cosmic structure.
Phi Lambda — The new light propagation constant.
Sistema Universalis — Systems thinking lineage.

Pattern Field Theory