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