ASTR4004/8004 Computational Astronomy - Week 7 (2024)

Welcome to the teaching repository for Week 7 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

Jupyter Notebooks

• 1. Preprocessing:
  This notebook covers some techniques for reading and preparing astronomical datasets.

• 2. Statistics:
  This notebook covers some statistical methods relevant to computational astronomy.

• 3. Plot Clinic:
  In this notebook, we explore effective data visualization techniques.

• 4. Extra: Commenting and Outsourcing Code:
  In this notebook, I showcase how you can better comment (for your future self and others) with # and DocString as well as how to outsource code.

Directories

• data/:
  Contains all datasets required for the tutorial in Week 7.

• figures/:
  A directory to store figures generated during the notebooks, as well as pre-generated figures for reference.

• latex_input/:
  This directory contains LaTeX files for generating scientific reports and publications using the output from the notebooks.

• outsourced_code/:
  This directory contains example python functions that were outsourced from a larger file. For more information check out the *7d_code_outsourcing.ipynb.

How to Use

1. Clone this repository to your local machine:

   git clone https://github.com/svenbuder/astr4004_2024_week7.git