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SC2025 Bootcamp Numerical Methods Workshop

Introduction

This is some reference code for numerical methods to be used for Space Challenges 2025 Bootcamp workshops in Aug 1-2 2025. The purpose of the workshop is to familiarize cadets with numerical methods for solving differential equations and to write a basic orbital propagator which can be compared to tools such as General Mission Analysis Tool (GMAT) and Systems Toolkit (STK). The workshop is meant to be conducted as 2 sessions per ~3 hours with the following subdivision of tasks during each 1-1.5 hours:

  • Session 1: Intro to differential equations:
    • what do DEs describe and how do they look
    • what is the difference between continuous and discrete systems and how do we solve DEs with computers the simplest concept of solving ODE: Euler method
  • Session 2: Hands-on solving of an oscillator:
    • writing an Euler integrator for a simple harmonic oscillator problem
    • plotting the Euler integrator solution vs. the real solution
    • extending to an intermediate term - the Verlet Method, comparing results with Euler (HW)
  • Session 3: Extending 1D oscillator to 2D projectile motion
    • going full throttle - RK(4) method, comparing with Verlet and Euler
    • introducing the more complex right-hand side for orbital propagator or ballistic trajectory - dimensionless quantities
  • Session 4: Comparing the results of our propagator with the GMAT/STK one
    • handling multiple dimensions in the RHS function
    • writing a Verlet and RK(4) method integration for 2D ballistic trajectory (with drag)
    • making your own 3D orbital propagator - HW to compare with STK data

Files Included

  • README.md the readme file
  • main.py includes the main driver for the code where we set up the initial conditions and actually run the integrator which will be outputting in .csv files (for the satellite solution).
  • Integrators.py includes the numerical integrators and differential equations right hand sides as functions which will be called from the main code.
  • Plotter.py has a parser for reading the results and a plotting function for the Kepler problem we're going to be exporting from the solver to be compared with the GMAT solution.
  • Satellite_PVT_GMAT.csv is the .csv file with solution after propagating the trajectory for 1 day with GMAT/STK with higher order integrator and higher J terms in the potential - we wll be comparing to this file.

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