Track Reconstruction in a High-Density Environment with ALICE

Abstract

ALICE is the dedicated heavy-ion experiment at the CERN Large Hadron Collider (LHC). Its main tracking and particle-identification detector is a large volume Time Projection Chamber (TPC). The TPC has been designed to perform well in the high-track density environment created in high-energy heavy-ion collisions. In this proceeding, we describe the track reconstruction procedure in ALICE. In particular, we focus on the two main challenges that were faced during the Run 2 data-taking period (2015--2018) of the LHC, which were the baseline fluctuations and the local space charge distortions in the TPC. We present the corresponding solutions in detail and describe the software tools that allowed us to circumvent these challenges.

arXiv comment13 pages, 14 figures

References in corpus (6)

• Performance of the ALICE Experiment at the CERN LHC
• HIJING 1.0: A Monte Carlo Program for Parton and Particle Production in High Energy Hadronic and Nuclear Collisions
• The upgrade of the ALICE TPC with GEMs and continuous readout
• The ALICE Transition Radiation Detector: construction, operation, and performance
• Event-by-Event Identified Particle Ratio Fluctuations in Pb-Pb Collisions with ALICE using the Identity Method
• TPC tracking and particle identification in high-density environment

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