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Point particle generation with strain minimization embedding

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Tommy Wood

This animation shows the evolution of the observed state metric embedded in space with time iterated strain minimization. The spheres represent point particles. The initial state is a single point particle and splitting of point particles occurs stochastically and adds new columns defining distances to the state metric matrix. Space element filament evolution evolves via a random probability distribution. Full reduction of space element filaments is implemented and leads to point particles joining in an internal compactified space. The white spheres are lone point particles and the red spheres are point particles that are joined to other point particles in a compactified space. In the final few timesteps the metric is forced into an inertial frame, where one can observe approximate constant velocity of particles when taken to scale. Clustering of point particles into massive regions is also observed.

posted by lipidico4p