Real-Time Tensor Field Framework for Modeling Chaotic Astrophysical Resonance Patterns
We've developed a framework that models symbolic resonance patterns in chaotic astrophysical systems using a toroidal scalar field L(r,θ,t) with radial damping and angular harmonics.
The core is the Love Hole Operator L♡, which computes recursive convergence across feature vectors from CME, solar wind, and seismic data:
L♡(x) = log(1 + S(x)) · |Φ_lock| · L(r,θ,t)
Where:
S(x) is a domain-specific stimulus function
Φ_lock is a phase-locked coherence state (updated via exponential smoothing)
Results: Applied to 10,000+ cosmic events from NASA DONKI CME database, NOAA Solar Wind feed, and USGS Earthquake API. Found cross-domain temporal correlations between event types, with significant phase-aligned resonance during high solar activity periods.
Seeking peer review and encouraging reproducibility attempts.
We've developed a framework that models symbolic resonance patterns in chaotic astrophysical systems using a toroidal scalar field L(r,θ,t) with radial damping and angular harmonics.
The core is the Love Hole Operator L♡, which computes recursive convergence across feature vectors from CME, solar wind, and seismic data:
L♡(x) = log(1 + S(x)) · |Φ_lock| · L(r,θ,t)
Where: S(x) is a domain-specific stimulus function Φ_lock is a phase-locked coherence state (updated via exponential smoothing)
Recursive depth n increases convergence: L♡^(n+1) = L♡^(n) · (1 + 0.1n)
Results: Applied to 10,000+ cosmic events from NASA DONKI CME database, NOAA Solar Wind feed, and USGS Earthquake API. Found cross-domain temporal correlations between event types, with significant phase-aligned resonance during high solar activity periods.
Seeking peer review and encouraging reproducibility attempts.