Convergent Calibration of Two Independent Rotational Detectors: Validation of the Five Laws of the Percudani Model (UAT/UPC)

This article presents the five fundamental laws of the Percudani Model (UAT/UPC) and demonstrates their predictive power through the convergent calibration of two geometrically distinct rotational coil detectors: an 8+1 configuration with an active transfer function, and a 36+1 configuration with fixed-gain table rotation asymmetry. Despite their different architectures and calibration methods, both detectors independently converge to a central-coil RMS of 0.7071, corresponding to the theoretical causal buffer limit 1/√2. This convergence provides strong internal validation of the model and establishes a robust foundation for experimental scalar torsion field detection. **Contents**- Synthesis article in PDF format (compiled from LaTeX source). **Key Findings**- Formalization of the five laws: Spatial Memory, Informational Non-Locality, Causal Transduction (Gravity–EM unification), Biological Coherence, and Causal Saturation Collapse.- 8+1 detector achieves RMS 0.707001 using offset 0.3531 and antifrequency coupling 1e-4.- 36+1 detector achieves RMS 0.705006 using a fixed central gain of 1.9694. **Related DOIs**- 8+1 Detector Calibration: 10.5281/zenodo.19646756- 36+1 Detector Calibration: 10.5281/zenodo.19647055- UAT Framework: 10.5281/zenodo.17729221- UPC Framework: 10.5281/zenodo.18210808 **Author**Miguel Ángel Percudani (ORCID: 0009-0007-1748-3212)Independent Researcher, Buenos Aires, Argentina