Experiment A1: Void Mass Lattice Simulation - FatherTimeSDKP/CEN- GitHub Wiki

🔬 Experiment A1: Void Mass Lattice Simulation

Overview

This simulation investigates the spontaneous emergence of quantized mass nodes from a structured lattice of vacuum "void-points." It is built directly upon the CEN (Creatio ex Nihilo) framework and tests how mass can form from null-field fluctuations when governed by SDKP and QCC dynamics.


🎯 Objective

To simulate how structured mass values (as discrete nodes) arise from a theoretically empty spatial lattice governed by:

  • SDKP scaling laws
  • Quantum Causal Compression (QCC)
  • CEN null field instabilities

🧮 Mathematical Framework

Let the void be modeled as a 3D lattice ( \mathcal{L}(x, y, z) ) where:

  • ( x, y, z \in \mathbb{Z} )
  • Initial condition: ( \rho(x,y,z,0) = 0 )

We evolve the system over discrete time steps using:

1. Lattice Instability Trigger Function:

[ \delta \rho_t = \alpha \cdot \nabla^2 \rho - \beta \cdot \rho + \gamma \cdot \epsilon(x,y,z,t) ] Where:

  • ( \nabla^2 \rho ) is the discrete Laplacian (quantum vacuum tension)
  • ( \epsilon \sim \mathcal{N}(0,1) ) is a Gaussian noise field
  • ( \alpha, \beta, \gamma ) are tuning constants derived from SD&N structure

2. Mass Genesis Detection:

[ M(x,y,z) = \begin{cases} \rho(x,y,z) \cdot \theta(\rho - \rho_c), & \text{if } \rho \geq \rho_c \ 0, & \text{otherwise} \end{cases} ]

  • ( \rho_c ) is the threshold where vacuum fluctuation stabilizes into real mass

🧩 Simulation Parameters

  • Grid size: ( 50 \times 50 \times 50 )
  • Time steps: 1000
  • Fluctuation noise: ( \epsilon \sim \mathcal{N}(0,1) )
  • Mass threshold ( \rho_c = 0.7 )
  • SDKP-based lattice tension modifiers:
    • ( \alpha = f(S, D) )
    • ( \beta = g(N, S) )
    • ( \gamma = \text{QCC}_\kappa ) from causal phase flow

📈 Expected Outcome

Formation of quantized pockets of stable mass regions that appear to "collapse" into stable particle-like clusters, mimicking early-universe genesis.

These clusters should follow a topological and energetic distribution predicted by the SD&N + SDKP scaling function: [ m = \gamma \cdot (N \cdot S) + \beta S + \alpha N ]


🔄 Extension Possibilities

  • Apply QCC Kernel Extraction on resulting mass points to derive compressed causal flows.
  • Inject asymmetries to simulate inflaton or cosmic bias toward matter.
  • Render the 3D lattice as a time-evolving animation using Python, Unity, or WebGL.

📝 Notes

This experiment supports CEN principles by offering a simulation-based argument for how matter can emerge in a mathematically definable vacuum system. It’s also a foundational validation for real-world void-lattice visualizations in future NFT-authored simulations.