The ALICE TPC, a large 3-dimensional tracking device with fast readout for ultra-high multiplicity events
J. Alme, Y. Andres, H. Appelshauser, S. Bablok, N. Bialas, R. Bolgen,, U. Bonnes, R. Bramm, P. Braun-Munzinger, R. Campagnolo, P. Christiansen, A., Dobrin, C. Engster, D. Fehlker, P. Foka, U. Frankenfeld, J.J. Gaardhoje, C., Garabatos, P. Glassel, C. Gonzalez Gutierrez, P. Gros

TL;DR
The paper details the design, construction, and commissioning of the ALICE TPC, a large 3D tracking detector with fast readout, optimized for high multiplicity events at the CERN LHC, and reports on its performance.
Contribution
It introduces technical innovations in hardware, infrastructure, and software for the ALICE TPC, tailored for extreme multiplicity environments at the LHC.
Findings
Performance close to design specifications
Successful calibration and operation in high multiplicity conditions
Implementation of innovative hardware and software solutions
Abstract
The design, construction, and commissioning of the ALICE Time-Projection Chamber (TPC) is described. It is the main device for pattern recognition, tracking, and identification of charged particles in the ALICE experiment at the CERN LHC. The TPC is cylindrical in shape with a volume close to 90 m^3 and is operated in a 0.5 T solenoidal magnetic field parallel to its axis. In this paper we describe in detail the design considerations for this detector for operation in the extreme multiplicity environment of central Pb--Pb collisions at LHC energy. The implementation of the resulting requirements into hardware (field cage, read-out chambers, electronics), infrastructure (gas and cooling system, laser-calibration system), and software led to many technical innovations which are described along with a presentation of all the major components of the detector, as currently realized. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
