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Three-dimensional pattern recognition for linear sections of forward tracker in
PANDA experiment

Publication date: 14.12.2016

Technical Transactions, 2016, Fundamental Sciences Issue 1-NP 2016, pp. 175 - 185

https://doi.org/10.4467/2353737XCT.16.150.5761

Authors

Joanna Płażek
Institute of Teleinformatics, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology
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Titles

Three-dimensional pattern recognition for linear sections of forward tracker in
PANDA experiment

Abstract

Straw tube detectors operating as drift detectors are commonly used in nuclear and particle physics experiments. The straw tubes are arranged in layers and placed in areas both with and without magnetic field. In order to resolve the 3D coordinates of a track, the straws are placed in multiple overlapping layers at varying angles of inclination. By measuring the drift time and then converting it to the drift distance, a position resolution per straw can be achieved. Knowing the geometry of the detector, the position of hit straws and the drift distances, it is possible to determine the tracks of the moving particles. In the paper we present the algorithm for the 3D track reconstruction in areas without magnetic field by using vertical and skewed straws. The algorithm has been prepared for the Forward Tracker in the PANDA experiment.

References


Information

Information: Technical Transactions, 2016, Fundamental Sciences Issue 1-NP 2016, pp. 175 - 185

Article type: Original article

Titles:

Polish:

Three-dimensional pattern recognition for linear sections of forward tracker in
PANDA experiment

English:

Three-dimensional pattern recognition for linear sections of forward tracker in
PANDA experiment

Authors

Institute of Teleinformatics, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology

Published at: 14.12.2016

Article status: Open

Licence: None

Percentage share of authors:

Joanna Płażek (Author) - 100%

Article corrections:

-

Publication languages:

English