Speaker
Description
To identify the sources of cosmic-rays, and characterize their astrophysical properties we need to exploit the full potential of multi-messenger observations in combination with theoretical models. We aim to ease the theoretical interpretation of multi-messenger datasets by providing to the community a minimization tool using the open-source Python package Gammapy.
For this purpose, broadband multiwavelength data from optical to gamma-rays are imported into the Gammapy framework. This enables that minimizations are performed directly on instrumental counts instead of flux points, reducing biases coming from the flux points generation, and allowing a simpler treatment of systematics between different instruments and datasets. Additionally, neutrino data can be added once the corresponding instrument responses are provided in a compatible format. These datasets can then be fit to any iterable theoretical model using minimization algorithms via Gammapy. The implementation will be agnostic enough to allow using most leptonic and hadronic models of the community.
In this contribution, we want to present our preliminary implementation focusing on blazars as one of the prime multi-messenger candidates. Additionally, we want to discuss different concrete design and realization possibilities with the community to best address their needs.
