This package provides the complete operational software, detailed construction manual, and precision technical notes for the **Puan Station 36+1 Coil Rotational Detector** – a tabletop instrument designed to detect scalar torsion fields predicted by the Universal Applicable Time (UAT) and Unified Principle of Causality (UPC) frameworks. **Key Features:** - **Dynamic Frequency Calibration:** The operating frequency is automatically calculated for the current date using the UAT Inflationary Drift (α = 0.046 Hz/day, reference epoch 2023-05-27, f₀ = 84.4 Hz). Leap years are correctly handled. - **Operational Scripts:** - `puan_36ch_generator.py`: Generates 36 phase-synchronized sinusoidal signals with 7% table rotation asymmetry and logarithmic torsion (τ = 0.3697). - `puan_rms_monitor.py`: Captures and displays the live RMS value from the central observer coil. - **Complete Construction Manual (PDF):** Includes coil specifications, mechanical layout, wiring diagrams, battery power supply design, and star-grounding scheme. - **Precision Technical Note (PDF):** Detailed instructions for INA128 instrumentation amplifier implementation, shielding, and grounding – essential for achieving the target noise floor. - **Digital Twin Simulation:** A self-contained simulation script (`simulation/puan_combined_demo.py`) validates the phase equations and demonstrates the expected RMS saturation (~0.7050, target 0.7071) in an ideal environment. **Hardware Requirements (for operational use):** - 5 × 8-channel audio interfaces with Word Clock synchronization (e.g., Behringer UMC1820) - 36 identical air-core peripheral coils + 1 central observer coil - INA128 instrumentation amplifier with precision 51 kΩ gain resistor (G = 1.9694) - Battery power supply (±12 V, ±5 V) for low-noise operation **Intended Audience:** Experimental physicists, independent researchers, and engineers interested in replicating or validating the UAT/UPC scalar torsion detection methodology. **Related DOIs:** - UAT Framework: [10.5281/zenodo.17729221](https://doi.org/10.5281/zenodo.17729221) - UPC Framework: [10.5281/zenodo.18210808](https://doi.org/10.5281/zenodo.18210808) **Author:** Miguel Ángel Percudani (ORCID: 0009-0007-1748-3212)