{
  "id": "2007.12967",
  "version": "v1",
  "published": "2020-07-25T16:21:01.000Z",
  "updated": "2020-07-25T16:21:01.000Z",
  "title": "OpenPIV-Matlab -- An open-source software for particle image velocimetry; test case: birds' aerodynamics",
  "authors": [
    "Hadar Ben Gida",
    "Roi Gurka",
    "Alex Liberzon"
  ],
  "categories": [
    "physics.flu-dyn",
    "cond-mat.soft"
  ],
  "abstract": "We present an open-source MATLAB package, entitled OpenPIV-Matlab, for analyzing particle image velocimetry (PIV) data. We extend the PIV analysis with additional tools for post-processing the PIV results including the estimation of aero/hydrodynamic forces from the PIV data of a wake behind an immersed (bluff or streamlined) body. The paper presents a detailed description of the packages, covering the three main parts: generating two-dimensional two component velocity fields from pairs of images (OpenPIV-Matlab), spatial and temporal flow analysis based on the velocity fields (Spatial and Temporal Analysis Toolbox), and wake flow analysis along with the force estimates (getWAKE Toolbox). A complete analysis with a variety of post-processing capabilities is demonstrated using time-resolved PIV wake data of a freely flying European starling (\\emph{Sturnus vulgaris}) in a wind tunnel.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2020-07-25T16:21:01.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "test case",
      "open-source software",
      "openpiv-matlab",
      "aerodynamics",
      "velocity fields"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}