HomeSpace & AstronomyConjunction Risk 2D: Monte Carlo Sampler & Pc-vs-Horizon Curve

Conjunction Risk 2D: Monte Carlo Sampler & Pc-vs-Horizon Curve

2D-native pair to the orbital conjunction simulator: a live Monte Carlo B-plane sampler that empirically estimates collision probability by drawing random debris positions from the tracking-uncertainty distribution, plus a Pc-vs-horizon curve showing how an avoidance burn's effectiveness depends on lead time.

Space & Astronomy2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version
2d-space-debris-collision-avoidance-tracking ↗ Open standalone

Orbit-determination centers condense every close approach into one number, Pc, computed from a closed-form Gaussian-overlap formula. This 2D companion checks that formula the way a statistician would: by drawing thousands of random debris positions from the same tracking-uncertainty distribution and directly counting how many actually fall inside the hard-body threat circle. Watch the Monte Carlo estimate converge toward the analytic value as samples accumulate, then sweep the propagation horizon on a log-probability curve to see why operators sometimes wait before maneuvering — more lead time both grows the position uncertainty and gives a tiny radial burn more time to work, and the two effects compound to push Pc below the standard 10⁻⁴ threshold.

⚙ Under the hood

2D-native pair to the orbital conjunction simulator: a live Monte Carlo B-plane sampler that empirically estimates collision probability by drawing random debris positions from the tracking-uncertainty distribution and counting hits against the hard-body circle, plus a Pc-vs-horizon curve showing how an avoidance burn's effectiveness compounds with lead time.

orbital mechanicsspace debriscollision probabilitymonte carlo simulationconjunction assessment

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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