26–30 Jul 2021
Zoom
Europe/Berlin timezone

Tracking and track reconstruction at a muon collider in the presence of beam-induced background

Not scheduled
20m
Zoom

Zoom

Poster Detector R&D and Data Handling T12: Detector R&D and Data Handling

Speaker

Hannsjörg Weber (Humboldt-Universität zu Berlin)

Description

Among the projects currently under study for the post-LHC generation of particle accelerators the muon collider represents a unique machine, which has the capability to provide very high energy leptonic collisions and to open the path to a vast and mostly unexplored Physics program.
However, on the experimental side, such a great Physics potential is accompanied by unprecedented technological challenges, due to the fact that muons are unstable particles. Their decay products interact with the machine elements and produce an intense flux of background particles that eventually reach the detector and might degrade its performance. Being the closest detector to the beamline, the tracker is the most affected by the beam-induced background. This contribution will outline the measures adopted in order to mitigate the background effects on the track reconstruction and will present the tracking performance in the presence of the beam-induced background. We will discuss considerations on the tracker design, ideas of 5D tracking (position, time, and direction), and strategies using novel tracking algorithms based on the A Common Tracking Software (ACTS) library, which was developed with a focus on hadronic environments with high pile-up - we explore the usage of ACTS to perform the track reconstruction in the presence of the beam-induced background.

First author Hannsjörg Weber
Email hannsjoerg.weber@desy.de
Collaboration / Activity Muon Collider Detector&Physics

Primary authors

Hannsjörg Weber (Humboldt-Universität zu Berlin) Federico Meloni (ATLAS (ATLAS SM and Beyond)) Nazar Bartosik (INFN Torino) Simone Pagan Griso (Lawrence Berkeley National Lab. (US)) David Yu (Brown University) Sergo Jindariani (Fermilab) Lawrence Lee (Harvard University) Paolo Andreetto (INFN Padua and University of Padua) Laura Buonincontri (INFN Padua and University of Padua) Alessio Gianelle (INFN Padua and University of Padua) Donatella Lucchesi (INFN Padua and University of Padua) Lorenzo Sestini (INFN Padua and University of Padua) Massimo Casarsa (INFN Trieste and University of Trieste) Alessandro Montella (INFN Trieste and University of Trieste) Nadia Pastrone (INFN Turin) Karol Krizka (LBNL) Elodie Resseguie (LBNL) Philip Chang (UCSD)

Presentation materials