Karlsruhe 2024 – scientific programme
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T: Fachverband Teilchenphysik
T 36: Gamma astronomy 2
T 36.5: Talk
Tuesday, March 5, 2024, 17:00–17:15, Geb. 30.22: kl. HS A
Optimization of the image cleaning performance of H.E.S.S. telescopes — •Jelena Celic1, Stefan Funk1, Rodrigo Guedes Lang1, Simon Steinmaßl2, and Jim Hinton2 for the H.E.S.S. collaboration — 1ECAP, FAU Erlangen-Nürnberg, Deutschland — 2MPIK, Heidelberg, Deutschland
One of the challenges in the analysis of Imaging Atmospheric Cherenkov Telescope (IACT) data is minimizing the impact of night sky background (NSB) light. The goal is to reduce this noise while retaining a maximum amount of shower light to reconstruct the the physical quantities of the primary particle. Among the current generation of IACTs, the High Energy Stereoscopic System (H.E.S.S.) is the only southern hemisphere IACT system. Comprising five telescopes in Namibia, H.E.S.S. commonly uses a two-threshold image cleaning technique referred to as tailcut cleaning. However, this established method has drawbacks, particularly in dealing with low-energy shower events. These events produce fainter images near the pixel noise level. The upgraded H.E.S.S. cameras, which provide more accurate pixel timing information, inspired the introduction of a novel time-based image cleaning method. This method aims to optimize the retention of shower event light while efficiently cleaning NSB pixels. This presentation evaluates the performance of both traditional two-threshold and novel time-based image cleaning techniques in various image cleaning properties. Additionally, it establishes a new pipeline for optimizing the image cleaning performance at early data processing to achieve a better sensitivity with H.E.S.S. at lower energies.
Keywords: Cherenkov camera; IACT; Instrumentation; Image cleaning; NSB