Double Right Triangle Phase Prediction with Base-12 Geometry and Modular Constraints
Year: 2025
Type: conference-paper
Abstract: This work presents a novel method for predicting relative quantum or classical phase shifts in a two-arm interferometric system with 90° separation using a discrete base-12 framework. By representing phase angles as modular ticks (30° per tick), the model simplifies prediction via modular arithmetic and a lookup table derived from geometric constraints. This approach enables exact phase class identification from a single intensity measurement and supports time-evolution forecasting with minimal computational overhead. The method offers a clean alternative to continuous-wave or Bayesian models, and aligns naturally with harmonic and geometric phase theory. Modeled with ChatGPT-5 Patent Pending
Author: Delph, Andrew
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6950012997
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