Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 11: Data, AI, Computing, Electronics I (Statistical Methods, Applications)
T 11.2: Vortrag
Montag, 31. März 2025, 17:00–17:15, VG 2.101
Adaptation and Optimization of Large Radius Tracking in Athena — •Doğa Elitez1, Paul Gessinger1, and Lucia Masetti2 — 1CERN — 2Johannes Gutenberg University of Mainz
Large Radius Tracking (LRT), is a specialized tuning of charged particle track reconstruction algorithms, designed for particles originating far from the main interaction point. It has been integrated into the ATLAS experiment’s primary particle reconstruction workflow as of Run-3. For the upcoming High Luminosity upgrade of the LHC, the inner detector is planned to be replaced by an all-silicon inner tracker, ITk, and the implementation of tracking algorithms plays a crucial role. This presentation describes the work focusing on the necessary adaptation and optimization of the LRT workflow within the offline ATLAS track reconstruction software, the Athena framework. The effectiveness of the LRT workflow, strongly linked to both physics and computing performance, is also examined in this study.
Keywords: ATLAS; long-lived particles; Athena; Large radius tracking