Heidelberg 2022 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

T: Fachverband Teilchenphysik

T 16: Experimental Methods (general) 1

T 16.3: Vortrag

Montag, 21. März 2022, 16:45–17:00, T-H29

Clustering and Tracking in Dense Environment studies of the ATLAS ITk Strip Detector for the HL - LHC Upgrade — Katharina Behr, Nicholas Styles, and •Akhilesh Tayade — DESY, Hamburg, Germany

The new Inner Tracker (ITk) in the ATLAS detector is being built as a part of the HL-LHC upgrade. The High Luminosity upgrade will see an increase in track density, pile up and collisions per bunch crossing. Correspondingly, the current offline tracking reconstruction is being upgraded to handle this. Strongly boosted objects give highly collimated tracks. Reconstructing these tracks can be crucial in discovering new physics. Highly collinear and dense tracks are likely to share pixel or strip clusters for which they are penalized in the track reconstruction. Machine learning techniques are employed for the current ATLAS Pixel Detector to resolve the ambiguities due to cluster merging. In this talk, we discuss whether similar techniques are needed for clusters in the ITk strip detector.