This theoretical course with hands-on activities will focus on astrophysical searches for dark matter using Gammapy, an open-source Python package for high-level gamma-ray data analysis. Gammapy provides tools for spectral, temporal, and spatial modeling of gamma-ray sources, and is being developed as the core analysis package for the Cherenkov Telescope Array Observatory (CTAO), the next-generation ground-based gamma-ray observatory.

The course will be taught by Júlia Mamprim, who has experience in gamma-ray astronomy and the application of Gammapy to astrophysical research. It will consist of 3 lectures, combining theoretical explanations with classroom activities using Gammapy.

The event will take place at the International Institute of Physics (IIP), Universidade Federal do Rio Grande do Norte (UFRN), from August 27 to 29.

Lecture Program:

• Lecture 1 – Spectral Analysis of Point Sources

• Lecture 2 – Modeling Extended Sources

• Lecture 3 – Indirect Dark Matter Detection

It is essential to have Gammapy properly installed in order to carry out the practical sessions. We recommend the following tutorial for proper installation:

https://github.com/juliagouveamamprim/gammapy-tutorial-Natal

For further information about Gammapy, please visit the official site:

https://gammapy.org/

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