A unified simulation and analysis framework comparing three dark photon production models:
- SGCV: Superluminal Graviton Condensate Vacuum
- ALP: Axion-Like Particle scenario
- KM: Kaluza–Klein photon excitations
It includes Monte Carlo event generation for Higgs → γγ + γ′ decays, simplified detector geometry (ATLAS/SHiP-like), and visualization tools for analyzing spatial and temporal displacement (Δx vs Δt) distributions.
SGCV_ALP_KM_Comparison/
│
├── SGCV_ALP_KM_Comparison_v1.1_post_geom.ipynb # ✔ Updated Colab notebook
├── SGCV_ALP_KM_Comparison_v_e31ca7f9.ipynb # Colab notebook
├── main_simulation_runner.py # Main orchestrator
├── sgcv_simulation.py # SGCV model
├── alp_simulation.py # ALP model
├── km_simulation.py # Kaluza–Klein model
├── event_generator.py # Higgs → γγ + γ′ event generator
├── plot_utils.py # Plotting functions
├── detector_geometry.gdml # Detector geometry file
├── detector_geometry_layered.gdml # ✔ Layered detector (tracker + ECAL + HCAL)
├── requirements.txt # Python dependencies
├── __init__.py # Package initializer
├── LICENSE # (MIT )
└── README.md # Project description
Clone the repository and install the dependencies:
git clone https://github.com/Galactic-Code-Developers/SGCV_ALP_KM_Comparison.git
cd SGCV_ALP_KM_Comparison
pip install -r requirements.txt
Run the simulation from the notebook or terminal:
python main_simulation_runner.py
- Δx vs Δt scatter plots
- Overlaid histograms for SGCV, ALP, and KM
- Model comparison visuals for publication and export
MIT License
Copyright (c) 2025 Kapodistrian Academy of Science