Resonant Spacetime Hypothesis 2.0

        map_Q, map_U = generate_spiral_CMB(beta=0)  # =0 Gaussian  

        grad_phase_null = phase_gradient(map_Q, map_U, L)  

        p = np.sum(grad_phase_null > grad_phase_data) / n_sims  

        p_values.append(p)  

    return np.mean(p_values)  

```  

4. Results & Validation

Output Metrics

| Metric               | RSH (=0.8) | CDM (=0) |  

| Phase gradient (=1000) | 0.72 0.05      | 0.11 0.03    |  

| \(TB\) correlation (r)   | 0.41             | <0.01          |