README/Phase-Scattering Control.py at main · TN-Holdings-LLC/README · GitHub

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# Supplemental: Chapter 3.7 Technical Implementation (Pseudo-code)

This pseudo-code outlines the logic for the **Phase-Scattering Control (PSC)** engine. It translates the theoretical "surrender" of the Love-OS into an actionable, real-time control loop for nuclear fusion plasma stabilization.

## Core Algorithm: PSF-Zero Plasma Stabilization

```python
"""
PSF-Zero Plasma Control Module v1.0
Domain: Nuclear Fusion / Plasma Physics
Strategy: Minimal Phase-Scattering Intervention
"""

import signal_processing_library as sp
import quantum_sensor_interface as qsi

def run_plasma_stabilization_loop(sensor_array, actuator):
    # 1. Configuration Constants
    FS = 4000            # Sampling Frequency (4kHz)
    ALPHA_INV = 0.3      # EIT Integration Constant (300ms)
    WIN_SIZE = 1024      # Sliding window for phase analysis
    THRESHOLD_ETA = 0.5  # CUSUM Alarm Threshold

    # Initialize Love-OS Components
    eit = EITAccumulator(alpha=1.0/ALPHA_INV, fs=FS)
    cusum = CUSUMDetector(kappa=0.001, eta=THRESHOLD_ETA)

    while reactor_is_active:
        # A. Data Acquisition from Quantum (NV-Center) Array
        # Captures multi-channel magnetic phase data
        raw_magnetic_data = qsi.read_nv_array(channels=8)

        # B. Transformation to Phase-Space (Y-Axis)
        # Convert real signals to complex analytic signals (Hilbert Transform)
        z_complex = sp.hilbert_transform(raw_magnetic_data)

        # C. Exponential Integration (EIT)
        # Smooth the 'essence' of the signal, removing X-axis noise
        z_smoothed = eit.apply_filter(z_complex)

        # D. PSF-Zero Calculation (Rho-Hat)
        # Measure global phase synchrony across the sensor array
        rho_hat = calculate_global_synchrony(z_smoothed, window=WIN_SIZE)

        # E. Statistical Change Detection (CUSUM)
        # Quantify the 'accumulation of intent' (instability growth)
        confidence_score, alarm_triggered = cusum.update(rho_hat)

        # F. Intervention: Phase-Scattering
        if alarm_triggered:
            # Generate a low-duty, asynchronous 'nudge'
            # Instead of fighting force with force, we disrupt the harmony (sync)
            jitter_pulse = generate_asynchronous_pulse(
                duty_cycle=0.01,
                pulse_width_ms=10,
                random_jitter=True
            )

            # Apply intervention via RMP coils or EC antennas
            actuator.apply_phase_scatter(jitter_pulse)

            log("Phase-Scattering Intervention Deployed: Synchrony Disrupted.")

        # G. Telemetry Output
        output_kpi(rho_hat, confidence_score)

def calculate_global_synchrony(z_data, window):
    # Logic: sum of cos(phi_i - phi_j) for all sensor pairs
    # Represents the degree of 'Mode-Locking' in the plasma
    return compute_psf_zero_metric(z_data)