Computational_Astronomy

Code for classes and 3 projects.

Project 1: Polytropic Indices

• Goal: Find the polytrope (of index n) that best models a real star, using the Lane-Emden equations, assuming that energy production occurs through hydrogen fusion in the core, and predict a star's density, pressure, luminosity and emmisivity throughout its radius relatively to the Sun.

• Stars used: Epsilon Eridani and Theta Persei A

• Tools: Python (NumPy, SciPy and MatPlotLib)

• Folders and relevant files:

  • classes: 00_integrals_ode up to 04_monte_carlo_*
  • Project1

Project 2: Stellar Paremeters

• Goal: Predict stellar parameters based on an observed spectrum through the comparison of multiple simulated spectra to find the best possible fit.

• Spectra used: 2 provided observed spectrums of 2 stars and hundreds of generated spectra based on Pollux's database.

• Tools: Python (NumPy, SciPy, Pandas and MatPlotLib)

• Folders and relevant files:

  • classes: 05_spectral_analysis up to 08_stellar_params
  • Project2