Ever wondered how spacecraft navigate the solar system or how planets maintain their celestial dance? This repository transforms complex astrophysics concepts into interactive Python simulations, making the mathematics of the cosmos accessible to students and researchers alike. From Newton’s universal gravitation to the intricacies of interplanetary transfers, these tools bridge the gap between theoretical physics and practical computation.
The current collection features a comprehensive orbital mechanics simulator that visualizes planetary motion using gravitational physics, plus a sophisticated Hohmann transfer calculator that determines the delta-V requirements for spacecraft maneuvers between orbits. Built with NumPy for robust mathematical computation and matplotlib for publication-quality visualizations, each simulation provides both graphical output and quantitative analysis. The codebase demonstrates real orbital dynamics principles used by mission planners at space agencies worldwide.
What makes this repository particularly exciting is its roadmap: upcoming projects include light curve analysis for exoplanet detection, AI-powered galaxy classification, and N-body gravitational simulations. These tools serve educational institutions teaching computational astrophysics, amateur astronomers exploring orbital mechanics, and anyone curious about the mathematical beauty underlying our universe’s mechanics.
⭐ Stars: 4
💻 Language: Python
🔗 Repository: Urknall25/astrophysics-with-python