Jupyter notebooks

Some of the tutorials are provided as Jupyter notebooks. If you see this icon

on top of a page, you can click on it to download the notebook and run it on your computer. All notebooks are also available for download from this page.

• Using ctools from Python

• How to combine observations?

• How to connect observations to specific models?

• How to perform a stacked analysis?

• How to handle models from Python?

• How to do advanced model manipulation and fitting in Python?

• How to generate likelihood profiles for a fitted spectrum?

• How to perform spectral component separation?

• Data preparation for 1DC How-to

• Selecting events for H.E.S.S. public data

• Generating a sky map and finding sources for H.E.S.S. public data

• Generating a background model from H.E.S.S. public data

• Performing an unbinned analysis of H.E.S.S. public data

• Classical analysis of H.E.S.S. public data