Resources

GROWTH Astronomy School 2018

The educational material from the 2018 GROWTH astronomy school are posted on this page.

There were twelve lessons covering different aspects of observing, processing, and analyzing data relevant to multi-messenger and time domain astronomy. For each lesson, there is a lecture introducing the concepts and the science behind the topic, and there is an interactive python module that you can download.

The python module contains a Jupyter Notebook with annotated python code and a number of different exercises for the student to complete on their own. The python module also contains installation instructions and relevant observational datasets necessary to complete the exercises from various telescopes around the world. Modules are listed in the order they appeared in the school program, but each of them is self-contained and can be downloaded and run separately.

The "Quick View" button provides a pre-rendered view of each of the Jupyter notebook solutions to give a taste of what the notebook covers, but in order to complete the exercises and execute the lesson locally, the user must download the module. Clicking on the "Download" button will allow you to download a tar.gz file containing the module.

If you want to download all modules at once, click on the button below.

Download ALL

 

If you have questions about the resources posted here, you can get in touch with us at growth.astro.school@gmail.com. We will do our best to answer your questions, but please note that while we make our material available to students and educators, we don't have the resources to offer ongoing support.