Coarse graining for an impeller-driven mixer system

We apply a coarse graining approach developed by Isaac Goldhirsch to data acquired from a model of an impeller-driven mixer system. The experiment uses a bidisperse system of photoelastic particles in a quasi-2D system to determine local mass and momentum densities, velocities, granular temperatures, size concentration, and pressure. Raw data consist of high speed video images obtained with polarizers (to obtain particle-scale force data) and without polarizers (to obtain particle positions). We coarse grain the experimental data using a Gaussian coarse graining function, phi, of variable width, omega.