Speaker
Description
Blazars, a subclass of jetted active galactic nuclei, provide exceptional laboratories for astrophysical particle acceleration processes. These extreme environments have proven difficult to model in their entirety, even with multiwavelength datasets spanning from radio waves to gamma-rays. One major point of contention is the particle composition of the jet, with the main contenders being either leptonic or lepto-hadronic plasmas. While the presence of leptons is accepted to be the origin of the lower energy parts of the emission spectra, the higher energies (x-rays to gamma-rays) can pose problems to purely leptonic scenarios. While the presence of neutrinos emitted from these jets would be definitive evidence of a hadronic component, their widespread detection from blazars remains elusive.
Recent work on the Gammapy Python package allows for the fitting of multi-wavelength data over multiple energy decades simultaneously. In the work presented, we have coupled the B13 lepto-hadronic code to the Gammapy framework, allowing for multiwavelength fitting. In addition, we have characterised the IceCube detector within the aforementioned framework, based on effective area and smearing files from the public data release “All-sky point-source IceCube data: years 2008-2018”. This permits not only the fitting of models to multi-instrument data, but also the constraining of the parameter space available based on neutrino output (or lack thereof).
