- Finite-Difference Time Domain (FDTD): For wave propagation in fractal boundary conditions. Â
- Adaptive Mesh Refinement (AMR): Resolves high-density regions (e.g., galaxy clusters) down to 10 kpc/h. Â
- GPU Acceleration: CUDA kernels for solving the fractal Helmholtz equation. Â
2. Simulation Parameters: Â
| Parameter      | Value        | Physical Meaning          | Â
| Box size       | 500 Mpc/h      | Comoving volume side length    | Â
| Resolution      | 1024 grid cells   | Cell size: **0.5 Mpc/h**      | Â
| Initial conditions  | 20 lowest eigenmodes | Gaussian (CDM-like) vs. log-periodic (RSH) | Â
| Time steps      | 10 (t = 1 Myr)   | From z = 20 to z = 0        | Â
Initial ConditionsÂ
- Gaussian: Amplitude distribution \( A_n \sim \mathcal{N}(0, P(k_n)) \), where \( P(k) \) is the Planck 2018 power spectrum. Â