| import pandas as pd
|
| import numpy as np
|
| import matplotlib.pyplot as plt
|
|
|
| df = pd.read_csv("transizione_fase_ising.csv")
|
|
|
| g = df["Campo_g"].values
|
| E_zz = df["Expectation_H_zz"].values
|
|
|
| suscettivita = -np.gradient(E_zz, g)
|
|
|
| plt.style.use('dark_background')
|
| fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 8), sharex=True)
|
|
|
| ax1.plot(g, E_zz, color='#FF007F', linewidth=2.5, label='Measured ZZ Correlation')
|
| ax1.set_ylabel("Spin-Spin Correlation <H_zz>", color='#888888')
|
| ax1.set_ylim(-0.05, 1.05)
|
| ax1.grid(True, linestyle='--', alpha=0.2, color='#444444')
|
| ax1.legend(loc="upper right")
|
| ax1.set_title("Quantum Ising Phase Scan & Susceptibility (3500 Steps)", fontsize=11, fontweight='bold', pad=15)
|
|
|
| ax2.plot(g, suscettivita, color='#00FFFF', linewidth=2, label='Fermionic Susceptibility (dZZ/dg)')
|
| idx_max = np.argmax(suscettivita)
|
| g_critico = g[idx_max]
|
|
|
| ax2.axvline(g_critico, color='#FFFF00', linestyle=':', alpha=0.8, label=f'Critical Point g ~ {g_critico:.3f}')
|
| ax2.set_xlabel("Transverse Field Strength (g)", color='#888888')
|
| ax2.set_ylabel("Susceptibility", color='#888888')
|
| ax2.grid(True, linestyle='--', alpha=0.2, color='#444444')
|
| ax2.legend(loc="upper right")
|
|
|
| plt.tight_layout()
|
| plt.savefig("transizione_fase_ising.png", dpi=300)
|
|
|
| print("============================================================")
|
| print(f"📊 Grafico esportato! Punto critico rilevato a g = {g_critico:.3f}")
|
| print("============================================================")
|
|
|
