Project Title

Notebooks from the teaching sessions and the workshops of the 2019 Summer School for Astrostatistics in Crete

Getting Started

The repository is organized in one folder per subject. You will have to download the notebooks as well as the data (which are on an other server). See "Installing" below.

Prerequisites

Python v3.6
Jupyter notebook

Instructions on retrieveing Jupyter notebook are here: https://jupyter.org

Installing

First download or clone this repository on your machine:

git clone https://github.com/astrostatistics-in-crete/2019_summer_school.git

Then download the data. To do this, from within the repository folder, run:

python get_data.py

This will automatically create the "data" subfolders within each subject folder, and download the data.

If you are running the notebooks from the school, run:

./new_day.sh

This will download the data, set up the conda environment and start the jupyter notebook.

Running the notebooks

jupyter-notebook <notebook_name>.ipynb &

Authors

• Andrew, Jeff - University of Copenhagen

• Bonfini, Paolo - University of Crete and National Observatory of Athens

• Kovlakas, Kostantinos - University of Crete

References

All the material provided here (notebooks and scripts) is licenced under the Creative Commons BY-SA licence.

The notebooks have adopted publicly available material from several sources, most notably AstroML. All the references to published papers, data, and software tools are properly addressed within each notebook.

Acknowledgments

If the material you learned through this summer school directly and significantly contributed to your work, we invite you to include the following acknowledgement in your manuscript:

We wish to thank the "2019 Summer School for Astrostatistics in Crete" for providing training on the statistical methods adopted in this work.