Large-Scale Cluster Formation at n=100,000

A single bound structure of 14,385 particles emerged from a 100,000-particle swarm - over 14% of the entire simulation, tracked with exact particle IDs from start to finish.

Animated clip of a Binary Unified Theory simulation showing 100,000 particles, with a bound 14,385-particle cluster highlighted in teal, spanning much of the swarm

Posons   Negons   the identified 14,385-particle cluster (exact membership, tracked live by the engine itself)

Run Parameters

Total particles100,000 (50,000 posons + 50,000 negons)
Initial diameter126.0
Integration modeDirect Normalization
Force computationBrute force (exact, not Barnes-Hut approximated)
Signals enabledCrowding, proximity, acceleration, velocity-matching, cluster identification, cluster event capture
Steps completed5,000 of 5,000 (full run, ~76 minutes)

Observations

Read honestly: the clip above samples 34 frames out of 1,508 real captured frames spanning the cluster's full window (steps 3,492-4,999) - real data throughout, just not literally every single step, to keep the file a reasonable size for the web. Also worth knowing: at the point this run ended, this cluster (and in fact all 2,000 clusters captured that run) was still active, not yet settled - the swarm may not have reached a steady state by step 5,000.

Go Deeper

The full analysis - exact cluster tracking, particle IDs with no reconstruction needed, and how this compares to the earlier n=250,000 finding - is available as a rendered notebook.

Read the Full Analysis Notebook