Open access preprints and peer-reviewed publications
This journal article preprint presents a comprehensive theoretical framework for AI-mediated cognitive extension based on information physics principles. Presents seven major testable predictions with specific protocols, timelines, and falsification criteria, including cross-species sleep duration correlating with information processing intensity (R² = 0.82 vs. 0.3 for brain mass alone). Integrates DMT substrate perception and autonomic control research with neuroplastic adaptation following sensory substitution timelines.
Reports 5.49σ detection of systematic power suppression at multipole ℓ = 7 in WMAP nine-year temperature anisotropy data, exhibiting remarkable correspondence with fine structure constant α = 1/137.035999. Signal manifests as coherent electromagnetic suppression (-42.1% to -51.4%) across all five WMAP frequency bands. Monte Carlo validation using 1000 simulations yields zero detections exceeding 3σ, establishing false positive probability below 0.1%.
Presents theoretical framework for unifying quantum mechanics and general relativity through information-theoretic principles, motivated by rigorous CMB analysis demonstrating 0.15% false positive rate. Introduces dual energy-momentum tensors representing mass-energy and information-energy contributions, with testable predictions for fine structure constant variations at 10⁻¹⁵ level. All theoretical components maintain dimensional consistency and reduce to established physics in appropriate limits.
Historic discovery: First clean detection of π in cosmic microwave background data. Reports complete analysis of mathematical constant signatures across all five WMAP frequency bands (23-94 GHz), revealing systematic frequency-dependent evolution of universal constants. π demonstrates clean, monotonic evolution across all five bands with zero contamination and strong correlation (r = 0.91), representing unprecedented evidence for information-theoretic processes during cosmic inflation.
Reports systematic frequency-dependent signatures in WMAP 9-year CMB data through cross-validation using validated methodology (0.15% false positive rate). Analysis of three frequency bands (Q: 41 GHz, V: 61 GHz, W: 94 GHz) reveals consistent patterns at multipoles corresponding to φ, e, √3, and √5. Statistical analysis indicates 91% probability that observed patterns are non-random, with different constants showing distinct frequency behaviors.
Presents comprehensive, validated framework for testing mathematical constant signatures in CMB data, demonstrating gold-standard systematic control through rigorous debugging. Achieved >500× improvement in statistical rigor, transforming initially problematic methodology (85-100% false positive rate) into exceptionally controlled framework (0.15% false positive rate). Conservative analysis of Planck Legacy Archive data yields marginal evidence (2-3σ) for enhancement at e (2.06σ) and √3 (2.18σ) multipoles.
Enhanced theoretical framework motivated by novel statistical patterns in WMAP CMB data across multiple frequency bands (23-94 GHz). Analysis reveals systematic evolution of mathematical constant signatures, with π showing correlation r=0.91. Proposes COSMIC Framework unifying quantum mechanics and general relativity through information-theoretic principles via Quantum Memory Matrix (QMM) substrate. Introduces dual energy-momentum tensors (E = mc² and E = Ic²), addresses black hole information paradox, with testable predictions in quantum optics and cosmological observations.
All research data, code, and analysis scripts freely available
Complete datasets used in all analyses, including DESI measurements, JWST observations, and quantum computing results.
Browse on GitHubPython and R scripts for all statistical analyses, including Bayesian frameworks and Monte Carlo simulations.
View RepositoryOngoing analysis of Euclid galaxy survey data to test large-scale asymmetry predictions. Expected completion: 2026.
Collaborative research on quantum error correction scaling and computational boundaries. Multiple institutions involved.
Preparation for Vera C. Rubin Observatory data. Will provide unprecedented precision for dark energy measurements.