Building a 3D Visualization Tool for Galactic Dynamics
Faculty Mentor
Jorge Villa-Vargas
Location
Russell Union Ballroom
Type of Research
On-going
Session Format
Poster Presentation
College
College of Science & Mathematics
Department
Biochemistry, Chemistry and Physics
Abstract
The goal for this project is to build an in-house visualizer for N-body computer simulations of galactic dynamics. We use Blender, an open-source 3D graphics software tool in tandem with its Python programming interface to create a customized tool that will be able to read datafiles containing position and velocity vectors of particles and render this information in 3D space through an interactive interface or as a video file showing the evolution of the system. With regards to the impact this project will have in science, higher quality representations of numerical models facilitate the detection of structures and evolution patterns from raw data, improve the dissemination of results to the scientific community and make the information more accessible to the general public.
Program Description
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Start Date
4-23-2026 10:00 AM
End Date
4-23-2026 12:00 PM
Recommended Citation
Robinson, Drake and Villa-Vargas, Jorge, "Building a 3D Visualization Tool for Galactic Dynamics" (2026). GS4 Student Scholars Symposium. 89.
https://digitalcommons.georgiasouthern.edu/research_symposium/2026/2026/89
Building a 3D Visualization Tool for Galactic Dynamics
Russell Union Ballroom
The goal for this project is to build an in-house visualizer for N-body computer simulations of galactic dynamics. We use Blender, an open-source 3D graphics software tool in tandem with its Python programming interface to create a customized tool that will be able to read datafiles containing position and velocity vectors of particles and render this information in 3D space through an interactive interface or as a video file showing the evolution of the system. With regards to the impact this project will have in science, higher quality representations of numerical models facilitate the detection of structures and evolution patterns from raw data, improve the dissemination of results to the scientific community and make the information more accessible to the general public.
