SPICY: References and material

Publications

    1. Sperotto, S. Pieraccini, M.A. Mendez, A Meshless Method to Compute Pressure Fields from Image Velocimetry, Measurement Science and Technology 33(9), May 2022. The pre-print is available at https://arxiv.org/abs/2112.12752.

    1. Sperotto, S. Pieraccini, M.A. Mendez, A RANS approach to the Meshless Computation of Pressure Fields from Image Velocimetry, 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics. LISBON, Portugal, July 11-14, 2022. The pre-print is available at https://arxiv.org/abs/2207.04975

    1. Ratz, M.A. Mendez, A, A meshless and binless approach to compute statistics in 3D ensemble PTV, Experiments in Fluids 65(142), 2024. The pre-print is available at https://arxiv.org/abs/2403.11828.

    1. Sperotto, M. Ratz, M.A. Mendez, SPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functions, Journal of Open Source Software 9(93), 2024.

Tutorials

All the video tutorials related to SPICY are available in our YouTube channel :

  • Theory of constrained RBF Regression and Meshless PDE Integration

  • An overview of the SPICY class in Python

  • Tutorial 1: the Laplace equation in 2D

  • Tutorial 2: Penalized regression of a vector field in 2D

  • Tutorial 3: From constrained velocity regression to pressure computation

  • Tutorial 4: A 3D case of data assimilation - the Stokes flow

  • Ongoing work and perspectives