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
复制标题
深度神经网络技术在 ALICE TPC 空间电荷畸变波动校准中的应用
DOI：
10.1051/epjconf/202125103020
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
et al.
中科院分区：
文献类型：
--
作者：
Gorbunov;Sergey;Gunji;Taku;et al.
CERN LHC ALICE实验的时间投影室(TPC)在第3次和第4次进行了升级。基于气体电子倍增器(GEM)技术和新的读出方案的读出室允许在铅-铅碰撞中以预期的最高相互作用速率连续获取数据。由于没有选通栅极系统，在倍增区产生的大量离子预计将进入TPC漂移体积，并扭曲将电子引导到读出焊盘的均匀电场。分析计算被认为可以校正空间电荷失真波动，但事实证明，对于第三轮的校准和重建工作来说，解析计算太慢了。在本文中，我们讨论了由Alice合作开发的一种新策略，该策略利用机器学习和卷积神经网络技术来执行失真-涨落校正。给出了初步研究结果，并对进一步开发和优化的前景进行了讨论。
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 the absence of a gating grid system, a significant amount of ions created in the multiplication region is expected to enter the TPC drift volume and distort the uniform electric field that guides the electrons to the readout pads. Analytical calculations were considered to correct for space-charge distortion fluctuations but they proved to be too slow for the calibration and reconstruction workflow in Run 3. In this paper, we discuss a novel strategy developed by the ALICE Collaboration to perform distortion-fluctuation corrections with machine learning and convolutional neural network techniques. The results of preliminary studies are shown and the prospects for further development and optimization are also discussed.
Ar-CO2、Ne-CO2 和 Ne-CO2-N2 混合物中的离子淌度测量以及水含量的影响
DOI：
10.1016/j.nima.2018.07.008
发表时间：
2018
期刊：
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
影响因子：
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作者：
A. Deisting;C. Garabatos;A. Szabo
通讯作者：
A. Szabo
245
影响因子：
8.8
作者：
S. Barnes;C. Traube;S. Kudchadkar
通讯作者：
S. Kudchadkar
使用轨迹残差对 ALICE TPC 进行空间点校准
影响因子：
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作者：
M. Schmidt
通讯作者：
M. Schmidt