jpvantassel/pivpostprocess: v1.0.0

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Arefe Ghazi Nezami, B. A. Johnson, J. P. Vantassel
DOI: 10.5281/zenodo.18794852
Cited by: 0

Abstract

Initial release of PIVPostProcess 🎉! This release of PIVPostProcess was used for the paper, "An Open-Source, Physics-Aware, Data-Driven Tool for Automated Particle Image Velocimetry Post-Processing" by Ghazi Nezami, A., Johnson B. A., and Vantassel, J. P. as submitted for peer review. Note if changes are needed to the code as a result of the peer review process a new release will be created. This release includes: ✨ Trained gradient boosted trees (GBT) model. ✨ Implementation of PIV data pre-processing workflow. 📚 No-coding-required examples of using PIVPostProcess on real datasets.

Fields of Study & Subjects

Fluid Dynamics and Turbulent Flows Model Reduction and Neural Networks Advanced Measurement and Detection Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN