Speaker
Lars Mohrmann
(Universität Erlangen-Nürnberg)
Description
An overview of past and current efforts to establish high-level data analysis with open-source tools (i.e. Gammapy or ctools) for the H.E.S.S. experiment will be presented. A focus will be given to ongoing work about the validation of these tools on public H.E.S.S. data (see https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1), as well as to the exploration of a 3D likelihood analysis technique. The latter requires a model template for the residual hadronic background; an attempt at the creation of such a model from archival H.E.S.S. data will be outlined.
Primary author
Lars Mohrmann
(Universität Erlangen-Nürnberg)
