Resonant Spacetime Hypothesis 2.0

        grad = np.gradient(phases, m_values[1] - m_values[0])  

        grad_phase[l] = np.mean(np.abs(grad))  

    return grad_phase  # Returns ()  

```  

Step 5: Statistical Significance

Compare to Gaussian random fields (CDM null hypothesis):  

```python  

def p_value_spiral(grad_phase_data, n_sims=100):  

    # Simulate n_sims Gaussian CMB maps  

    p_values = []  

    for _ in range(n_sims):