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T: Fachverband Teilchenphysik

T 39: Detectors 4 (calorimeters)

T 39.4: Vortrag

Dienstag, 5. März 2024, 16:45–17:00, Geb. 30.23: 2/1

ATLAS Tile Calorimeter signal reconstruction in Phase-II — •Thomas Junkermann — Kirchhoff-Institut für Physik, Heidelberg, Deutschland

The Phase-II Upgrade of the ATLAS Tile Calorimeter remodels it's data read-out to cope with the higher amount of simultaneous proton-proton collisions of future LHC runs. To provide precise information to downstream components like the Phase-II digital trigger new back-end electronics are designed. These process the calorimeter data and prepare it for the trigger as well as buffering them for permanent storage. The energy reconstruction and bunch crossing identification, previously calculated by the trigger itself, are now being performed on the tile electronics. The calorimeter signals properties, energy and time, are reconstructed from digital samples being send from on-detector components to an off-detector pre-processing stage. The upgraded back-end offers various possibilities to reconstruct the cells signal energies and timings. The usage of neural networks is studied as a new approach at the preprocessing stage as it can learn differently than previously used classical reconstruction algorithms like optimal filters. The performance of a neural network will be presented in comparison to an optimal filter based on simulated Phase-II detector signals.

Keywords: ATLAS; Tile Calorimeter; Signal Reconstruction; Nerural Networks; Optimal Filter