The ALICE Transition Radiation Detector: Construction, operation, and performance
S. Acharya , Łukasz Graczykowski , Monika Jakubowska , Małgorzata Janik , Adam Kisiel , Julian Myrcha , Jeremi Niedziela , Janusz Oleniacz , Jan Pluta , Przemysław Rokita , Hanna Zbroszczyk
AbstractThe Transition Radiation Detector (TRD) was designed and built to enhance the capabilities of the ALICE detector at the Large Hadron Collider (LHC). While aimed at providing electron identification and triggering, the TRD also contributes significantly to the track reconstruction and calibration in the central barrel of ALICE. In this paper the design, construction, operation, and performance of this detector are discussed. A pion rejection factor of up to 410 is achieved at a momentum of 1 GeV/c in p–Pb collisions and the resolution at high transverse momentum improves by about 40% when including the TRD information in track reconstruction. The triggering capability is demonstrated both for jet, light nuclei, and electron selection.
|Collective author||ALICE Collaboration|
|Total number of authors||1131|
|Journal series||Nuclear Instruments & Methods in Physics Research Section A Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002, (A 25 pkt)|
|Publication size in sheets||1.95|
|Keywords in English||Transition radiation detector; Multi-wire proportional drift chamber; Fibre/foam sandwich radiator; Xenon-based gas mixture; Tracking; Ionisation energy loss; dE/dx; TR; Electron-pion identification; Neural network; Trigger|
|project||Development of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Arabas Jarosław,
, Phone: +48 22 234 7432, start date 01-06-2017, end date 31-10-2018, II/2017/DS/1, Completed
|Score|| = 20.0, 18-04-2019, ArticleFromJournal|
= 25.0, 18-04-2019, ArticleFromJournal
|Publication indicators||= 0; = 1; : 2016 = 1.352; : 2017 = 1.336 (2) - 2017=1.208 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.