Ponente
Descripción
Blazars are among the most powerful objects in the Universe and are prime candidates for producing ultra-high-energy cosmic rays and astrophysical neutrinos. Yet, despite decades of observations across the full electromagnetic spectrum, their emission mechanisms remain elusive. In today’s multi-messenger era, combining data from different cosmic messengers with advanced modeling tools is key to unlocking the secrets of these extreme sources.
In this contribution, we present first results from a novel, user-friendly multi-messenger modeling approach built on the open-source package Gammapy. Our framework brings together observations from optical to very-high-energy gamma rays and operates directly on instrumental counts, minimizing biases introduced by intermediate flux extraction steps. We then introduce a new implementation in Gammapy that enables direct fitting of theoretical models, starting with Synchrotron Self-Compton scenarios, to these data.
Focusing on blazars as key multi-messenger targets, we showcase how our framework enhances the ability to constraint emission models and present its extension to (lepto-)hadronic models and neutrino data. With this novel approach, we take a significant step toward true multi-messenger modeling and are paving the way to better understand extreme particle accelerators in the Universe.
