Dataset for "Physics-informed Gaussian process regression for particle-tracking data assimilation"

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Authors: John M. Lawson
Cited by: 0

Abstract

This dataset supports the publication: Lawson, J. M. Physics-informed Gaussian process regression for particle-tracking data assimilation. Phys. Rev. Fluids 2026, 00:004900, 2026. doi:10.1103/zvm4-wtkq This dataset contains statistics for the validation of Physics-Informed Gaussian Process Regression using synthetic and experimental datasets. Summary statistics for all three cases (homogeneous isotropic turbulence, turbulent channel flow and square prism wake) are provided. Additionally, MATLAB code is provided to reproduce figures from the article.

Publication details

Journal / source
ePrints Soton (University of Southampton)
Publication date
1 January 2026
Language
EN
Document type
Dataset