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Article

Track Reconstruction in a High-Density Environment with ALICE

1
European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
2
Wright Lab, Physics Department, Yale University, New Haven, CT 06520, USA
3
Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, 69120 Heidelberg, Germany
4
GSI Helmholtzzentrum für Schwerionenforschung, 64291 Darmstadt, Germany
5
Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, 60438 Frankfurt, Germany
*
Authors to whom correspondence should be addressed.
Academic Editors: Diego González-Díaz and Paul Colas
Particles 2022, 5(1), 84-95; https://doi.org/10.3390/particles5010008
Received: 30 December 2021 / Revised: 24 February 2022 / Accepted: 3 March 2022 / Published: 10 March 2022
(This article belongs to the Special Issue Selected Papers from "New Horizons in Time Projection Chambers")
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. View Full-Text
Keywords: heavy-ion collisions; tracking; Time Projection Chamber (TPC); space charge distortions; event pileup; interactive visualization heavy-ion collisions; tracking; Time Projection Chamber (TPC); space charge distortions; event pileup; interactive visualization
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MDPI and ACS Style

Arslandok, M.; Hellbär, E.; Ivanov, M.; Münzer, R.H.; Wiechula, J. Track Reconstruction in a High-Density Environment with ALICE. Particles 2022, 5, 84-95. https://doi.org/10.3390/particles5010008

AMA Style

Arslandok M, Hellbär E, Ivanov M, Münzer RH, Wiechula J. Track Reconstruction in a High-Density Environment with ALICE. Particles. 2022; 5(1):84-95. https://doi.org/10.3390/particles5010008

Chicago/Turabian Style

Arslandok, Mesut, Ernst Hellbär, Marian Ivanov, Robert H. Münzer, and Jens Wiechula. 2022. "Track Reconstruction in a High-Density Environment with ALICE" Particles 5, no. 1: 84-95. https://doi.org/10.3390/particles5010008

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