Owl Night Hunt: Acoustic Detection & Dive Interception (2D)
2D top-down owl-hunting lab: a probabilistic acoustic-detection model (inverse-range falloff, Poisson-style sampling) locks the owl onto rustling voles, then a kinematic dive-interception race decides whether the strike lands before the vole reaches its burrow.
This 2D companion strips the 3D scene down to the mechanic that actually drives the hunt: a probabilistic hearing model that decides which rustling vole the owl locks onto, and a live kinematic race between the owl's dive and the vole's sprint for its burrow. A top-down field shows the owl's hearing radius shrinking or growing with the acuity and wind-noise sliders, burrows scattered around the meadow edge, and a running catch/miss scoreboard so the detection math is directly visible instead of implied by animation.
Top-down 2D owl-hunting lab with a Poisson-style acoustic-detection model (inverse-square range falloff, wind-noise masking) and a kinematic dive-interception race against each vole's sprint to its burrow.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install