Uncertainty-Aware Jacobi Set Computation

A new method for computing Jacobi sets now propagates uncertainty analytically instead of relying on repeated sampling. For teams doing multi-field visualization, that means more stable topological features when scalar inputs are noisy or ensemble-based. The approach is aimed at fluid dynamics and weather data, but the underlying math is relevant anywhere developers need robust field analysis.