Predictive Correction of Structured Resonance Mass Discrepancies via Planetary Trait Compensation
This paper introduces a predictive correction model for resolving systematic mass discrepancies observed in structured resonance gravity derivations. While structured resonance theory accurately models gravitational field strength from mass-energy and geometric phase constraints—without using Newton’s gravitational constant GGG—minor discrepancies arise when applying the model to real planetary bodies. By analyzing the deviation patterns across solar system bodies, the paper identifies four contributing traits: planetary spin rate, axial tilt, orbital eccentricity, and number of moons. These attributes are modeled as torsional deformation factors that influence gravitational expression within the structured resonance framework. A fitted compensatory equation is derived to quantify their combined effect, yielding high correlation with observed mass deviations. This correction model refines structured resonance predictions, bridging idealized torsional geometry with real-world gravitational behavior, and offering new insights into how coherence, resonance, and motion shape a body's apparent mass.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-01
- DOI
- https://doi.org/10.5281/zenodo.15319436
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00