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physics.data-an2024
An information field theory approach to Bayesian state and parameter estimation in dynamical systems
Kairui Hao, Ilias Bilionis
Dynamical system state estimation and parameter calibration problems are ubiquitous across science and engineering. Bayesian approaches to the problem are the gold standard as they…
physics.data-an2024
Unbalanced optimal transport for stochastic particle tracking
Kairui Hao, Atharva Hans, Pavlos Vlachos +1
Non-invasive flow measurement techniques, such as particle tracking velocimetry, resolve 3D velocity fields by pairing tracer particle positions in successive time steps. These tra…