Visualisation of collaborative ion trajectories on grid technologies

Abstract

Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal and collaboration among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal and collaborative among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline for iconic representation, global and local colour scale for temporal correlation, opacity scheme for spatio-temporal collaborative depiction and grid computing technologies as infrastructure for remote scientific visualisation. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.