ASTR4004/8004 Computational Astronomy - Week 9 (2024)

Welcome to the teaching repository for Week 9 of the course ASTR4004/8004 Computational Astronomy at the Australian National University (ANU) in 2024. This repository contains essential materials, including Jupyter notebooks and supporting directories, for the week’s tutorial.

Repository Contents

Slides for Week 9

• 9a. Classification

• 9b. Model Selection and Interdisciplenary Thinking (TBD)

Jupyter Notebooks

• 1. Classification: K-means and Gaussian Mixture Models:
  This notebook includes a pre-computed notebook for applying K-means and GMMs onto APOGEE DR17 [Fe/H] vs. [Mg/Fe] and an interactive part for GALAH DR4 data.

Directories

• data/:
  Contains all datasets required for the tutorial in Week 9.

How to Use

1. Clone this repository to your local machine:

   git clone https://github.com/svenbuder/astr4004_2024_week9.git