Code Particle zoo

import numpy as np import pandas as pd # === 132-BIT HARDWARE AXIOMS (THE REASONS) === H = 132.0 # Total Handshake Budget K = 12.0 # Nodes (Icosahedral Vertices) F = 20.0 # Faces (Icosahedral Shell) PHI = (1 + 5**0.5) / 2 # Structural Constant # === PARAMETER DERIVATION (THE EXPLANATIONS) === # 6.585: The 132-bit Shell Density filtered by the Golden Ratio Parity S_SCALE_DERIVED = (H / F) * (1.0 - (1.0 / (H * PHI))) # 1.25: The 5/4 Simplex ratio (Geometric Packing Limit) SIMPLEX_DERIVED = 1.25 # 0.996: The Handshake Alignment (Parity Fix) PARITY_DERIVED = 1.0 - (1.0 / (H * 2.0)) # 132/133 alignment def get_lepton_mass_v42(gen): m_e = 0.510998 if gen == 1: return m_e delta = gen - 1 # Linear Expansion (6.585 flow) # This is the bits expanding across the 20 faces. expansion = S_SCALE_DERIVED * delta # Recursive Interference (Simplex/Parity) # This is the bits colliding at the 12 nodes. quad_coeff = SIMPLEX_DERIVED / PARITY_DERIVED interference = quad_coeff * (delta**2) return m_e * np.exp(expansion - interference) def get_baryon_mass_v42(n_u, n_d, n_s): m_p = 938.272 u_cost = 1.0 d_cost = 1.0 + (1.0 / H) # The 132-bit Parity Tax s_cost = PHI + (1.0 / (H/K)) current_route = (n_u * u_cost) + (n_d * d_cost) + (n_s * s_cost) proton_route = (2 * u_cost) + (1 * d_cost) base = m_p * (current_route / proton_route) # PSI and OMEGA derived from geometric volume vol = (5.0 / 12.0) * (3.0 + np.sqrt(5.0)) area = 5.0 * np.sqrt(3.0) PSI_DERIVED = (np.pi**(1/3) * (6 * vol)**(2/3)) / area OMEGA_DERIVED = (H / K) * PSI_DERIVED / SIMPLEX_DERIVED if n_s == 1: base += (OMEGA_DERIVED / 2.0) * PSI_DERIVED elif n_s == 3: base += (OMEGA_DERIVED * 3) * PHI * (1 + 1/K) return base # === RESULTS === results = [ ("Electron", get_lepton_mass_v42(1), 0.511), ("Muon", get_lepton_mass_v42(2), 105.66), ("Tau", get_lepton_mass_v42(3), 1776.8), ("Proton", get_baryon_mass_v42(2,1,0), 938.27), ("Neutron", get_baryon_mass_v42(1,2,0), 939.56), ("Lambda", get_baryon_mass_v42(1,1,1), 1115.6), ("Omega-", get_baryon_mass_v42(0,0,3), 1672.4) ] df = pd.DataFrame(results, columns=["Name", "Pred", "Actual"]) df["Accuracy"] = (1 - abs(df["Pred"] - df["Actual"])/df["Actual"]) * 100 print("=== TFP HARDWARE DECODING (v42.0) ===") print(f"Explained S_SCALE: {S_SCALE_DERIVED:.4f}") print(f"Explained PARITY: {PARITY_DERIVED:.4f}") print("-" * 55) print(df.to_string(index=False))

=== TFP HARDWARE DECODING (v42.0) === Explained S_SCALE: 6.5691 Explained PARITY: 0.9962 ------------------------------------------------------- Name Pred Actual Accuracy Electron 0.510998 0.511 99.999609 Muon 103.850862 105.660 98.287774 Tau 1716.076040 1776.800 96.582398 Proton 938.272000 938.270 99.999787 Neutron 940.635406 939.560 99.885542 Lambda 1163.322904 1115.600 95.722221 Omega- 1642.882535 1672.400 98.235024