Deep neural network techniques in the calibration of space-charge distortion fluctuations for the ALICE TPC

Deep neural network techniques in the calibration of space-charge distortion fluctuations for the ALICE TPC

The Time Projection Chamber (TPC) of the ALICE experiment at the CERN LHC was upgraded for Run 3 and Run 4. Readout chambers based on Gas Electron Multiplier (GEM) technology and a new readout scheme allow continuous data taking at the highest interaction rates expected in Pb-Pb collisions. Due to t...

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Bibliographic Details
Main Authors: Gorbunov Sergey, Hellbär Ernst, Innocenti Gian Michele, Ivanov Marian, Kabus Maja, Kleiner Matthias, Riaz Haris, Rohr David, Sadikin Rifki, Schweda Kai, Sekihata Daiki, Shahoyan Ruben, Völkel Benedikt, Wiechula Jens, Zampolli Chiara, Appelshäuser Harald, Büsching Henner, Graczykowski Łukasz, Grosse-Oetringhaus Jan Fiete, Hristov Peter, Gunji Taku, Masciocchi Silvia
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03020.pdf

Internet

https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03020.pdf

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