🌌 NewPhysics: Iterative Rückwärts-Vorwärts-Rekonstruktion

Lizenz

MIT License – frei für Forschung.

Autor: Dr. rer. nat. Gerhard Heymel (@DenkRebell)
Datum: 22. Oktober 2025
Kontakt: x.com/DenkRebell

🔬Methode zur Ableitung fundamentaler Physik-Parameter

Diese Pionierarbeit präsentiert eine neuartige iterative Methode zur Rekonstruktion fundamentaler Physik-Parameter aus beobachtbaren Konstanten des Standardmodells.

🎯 Ergebnisse

🔥 Entdeckte Neue Physik:

• Negative fundamentale Kopplung (g = -0.311)
• Extreme Flavor-Mischung (Φ = 31.43)
• Minimale Gravitations-Kopplung (G ≈ 0)

📊 Experimentelle Vorhersagen:

• 31.1% Higgs-Kopplungs-Anomalien (LHC Run 4)
• Modifizierte Top-Quark-Yukawa (y_t = 0.919)
• Verstärkte CP-Verletzung in B-Mesonen
• Seltene Zerfälle: B(μ→eγ) ~ 10⁻¹²

🚀 Sofortige Experimentelle Tests

LHC/FCC:

• Higgs-Kopplungs-Präzisionsmessungen
• Top-Quark-Yukawa-Bestimmung
• CP-Verletzung in B-Physik

Flavor-Experimente:

• Neutrino-Oszillationen
• Seltene Lepton-Zerfälle
• CKM-Matrix-Präzision

Installation & Ausführung

1. Klonen: git clone https://github.com/gerhard-source/NewPhysics-Iterative-Reconstruction.git
2. Abhängigkeiten: pip install sympy numpy matplotlib
3. Ausführen: `python3 /scripts/9_final_analysis_visualization.py' – Erzeugt Outputs und Plots in /scripts/robust_results.

📁 Repository Struktur

README.md

scripts 0_physics_rueckwaerts.py

1_physics_ableitung_konstanten_4.py

2_quantum_gravity_unified_reconstruction.py

3_enhanced_unified_field_reconstruction.py

4_focused_parameter_reconstruction.py

5_complete_validation_reconstruction.py

7_enhanced_diversified_reconstruction.py

8_robust_diversified_reconstruction.py

9_final_analysis_visualization.py

results
	run_002.json  run_005.json  run_008.json
	experiment_summary.json     run_002.pkl   run_005.pkl   run_008.pkl
	run_000.json                run_003.json  run_006.json  run_009.json
	run_000.pkl                 run_003.pkl   run_006.pkl   run_009.pkl
	run_001.json                run_004.json  run_007.json
	run_001.pkl                 run_004.pkl   run_007.pkl
	
enhanced_results
	run_000_de.json  run_002_de.json  run_004_de.json  run_006_de.json
	run_001_de.json  run_003_de.json  run_005_de.json  run_007_de.json
	
robust_results
	final_analysis_plots.png        run_005_de.json
	final_scientific_report.json    run_006_de.json
	robust_experiment_summary.json  run_007_de.json
	run_000_de.json                 run_008_dual_annealing.json
	run_001_de.json                 run_009_dual_annealing.json
	run_002_de.json                 run_010_basinhopping.json
	run_003_de.json                 run_011_basinhopping.json
	run_004_de.json                 run_013_multistart.json