The High Energy Stereoscopic System (H.E.S.S.) detects gamma-rays in the TeV (Tera-electron Volt ≡ 10¹² eV) energy range, and has contributed significantly to our understanding of the high energy universe. A complete survey of the galaxy at the TeV energies was carried out by H.E.S.S., known as the H.E.S.S. Galactic Plane Survey (HGPS). The HGPS recorded nearly one hundred objects with various source types identified, including shell-type supernova remnants, pulsar powered nebulae (PWNe), compact X-ray binary systems, etc. However, the exact nature of over 30% of these sources remain unknown. Since the release of the first HGPS catalog, many new observations have been taken which provide deeper insight into many sources. The second catalog (2HGPS) is currently under development, with its anticipated release in the near future.

The intern will utilise the data from the 2HGPS to perform a systematic search for energy-dependent morphologies. The project will focus on investigating the PWN source class. Here, we are looking for signatures of radiative cooling of high-energy electrons, which are expected to give rise to energy-dependent morphology. In this situation, the gamma-ray morphology is expected to be extended at low energies away from the position of the pulsar, but at high energies the emission becomes more compact and towards the pulsar position. One such source is HESS J1356-645. The intern will gain valuable experience in data analysis algorithms, with an emphasis on analysing the H.E.S.S. data using the open source Python package Gammapy. They will analyse the H.E.S.S. data across the galactic plane and perform a search for extended morphologies utilising already existing tools within Gammapy. The main goal is to understand further the emission processes and characteristics of the source. In the broader context, this contributes to better understanding the classification of the unidentified gamma-ray sources, as some of those may be part of the PWN source class.