TGAval

TGAval is a software tool designed for analyzing and visualizing trajectory data. It is particularly useful in fields such as computational biology, physics, and materials science where understanding the movement of objects or particles over time is crucial. The software allows users to import trajectory data from various sources, including simulations and experimental measurements.

Once imported, TGAval provides a suite of functionalities for data exploration. Users can visualize trajectories in two or three dimensions, track particle paths, and analyze parameters such as velocity, acceleration, and displacement. The tool also offers statistical analysis capabilities, enabling users to calculate properties like diffusion coefficients, root-mean-square displacement, and correlation functions.

TGAval supports a range of common trajectory file formats, ensuring compatibility with different experimental setups and simulation packages. Its user interface is designed to be intuitive, facilitating quick data loading and analysis without requiring extensive programming knowledge. Advanced users can also leverage its scripting capabilities for more complex or automated analysis tasks. The visualization features allow for the generation of high-quality plots and animations, which are valuable for presentations and publications. TGAval aims to streamline the process of extracting meaningful insights from time-dependent spatial data.