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SPICY: References and material
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Publications
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* P. 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.
* P. 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
* M. 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.
* P. 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
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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