HeliosForge v9.9: Enhanced F-UFT Integration for Operational Space Weather Forecasting

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Authors: Shannon Newton Nunn
Cited by: 0

Abstract

HeliosForge v9.9 fully integrates Fractal-Unified Field Theory (F-UFT) Part 1 principles into real-time flare and geomagnetic forecasting. Building on v9.3's 94–98% retrospective accuracy, v9.9 adds explicit fractal torque drift (r^(D-3) ≈ r^(-1.17)), structured 1/f^3.17 aether noise, variance-slope locking to (D-1) ≈ 0.83, edge-of-chaos marginal stability (Lyapunov max ≈ 0), and ensemble weighting by criticality. All inputs are live from NOAA SRS/GOES, NASA DONKI, GONG farside, SOHO/LASCO. No fixed proxies — full dynamic modeling across active regions. Runs 17,000 Monte Carlo ensembles per forecast for probabilistic Kp ranges, arrival times, and infrastructure alerts (satellites, grids). Supplementary: Detailed F-UFT enhancements, live data pipeline, ensemble architecture, criticality weighting, and example forecasts (remaining pages).

Fields of Study & Subjects

Solar and Space Plasma Dynamics Ionosphere and magnetosphere dynamics Stellar planetary and galactic studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Preprint