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20202026
most citedMaximum Likelihood Filtering for Particle Tracking in Turbulent Flows

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physics.data-an2026

Maximum Likelihood Particle Tracking in Turbulent Flows via Sparse Optimization

Griffin M Kearney, Kasey M Laurent, Makan Fardad

Lagrangian particle tracking is essential for characterizing turbulent flows, but inferring particle acceleration from inherently noisy position data remains a significant challeng…