ParticleSimulator2
Code to simulate gravity and kinetic collisions with O(nlogn)
Updated the project title in the README to reference the year 2026. Given the project's evolution, it felt like the right time to acknowledge the passage of time. 
This update introduces a new hydrogen cloud simulation and significantly optimizes the energy diagnostics pipeline in Python. The diagnostic scripts now use parallelized, blockwise matrix operations for potential energy calculations, moving away from slow iterative approaches. This change improves processing efficiency for large datasets.
Added a new GIF visual demonstrating the current progress on the Barnes-Hut implementation. This proof-of-concept highlights the particle dynamics simulation in action. 
Updated the README for ParticleSimulator2 to provide a comprehensive guide on the simulator's capabilities, input parameters, and physical configuration. This documentation clarifies how to use the Barnes-Hut implementation, configure inputs via CSV, and tune simulation parameters like gravitational softening and B-H tree bounds.
Refreshed the README documentation by updating image source paths and adjusting display dimensions. These changes improve the presentation of the project's simulation examples and technical guides.
Updated the README to provide a better overview of the ParticleSimulator2 physics engine, detailing its objectives, structure, and usage. The documentation now includes comprehensive guidance on configuration inputs and performance tuning for the Barnes-Hut algorithm.
Updated the project README to provide a complete guide for the ParticleSimulator2 engine. The new documentation details project objectives, build instructions, input parameter configurations (.csv files), and provides clear guidance on usage, limitations, and physics constants. This significantly improves clarity for anyone looking to build or explore the simulation engine. 
Updated the documentation in README.md to correctly reference the image asset for the moon and planet impact simulation. Proper documentation ensures users have a clear visual reference for the engine's capabilities. 