%0 Conference Paper
%A Alicke, Anna
%A Stockmanns, Tobias
%A Ritman, James
%T Track Finding for the PANDA Detector Based on Hough Transformations
%J The European physical journal / Web of Conferences
%V 251
%@ 2100-014X
%C Les Ulis
%I EDP Sciences
%M GSI-2021-01273
%P 04002
%D 2021
%Z This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
%X The PANDA experiment at FAIR (Facility for Antiproton and Ion Research) in Darmstadt is currently under construction. In order to reduce the amount of data collected during operation, it is essential to find as many true tracks as possible and to be able to distinguish them from false tracks. Part of the preparation for the experiment is the development of a fast online track finder. This work presents an online track finding algorithm based on Hough transformations, which is comparable in quality and performance to the currently best offline track finder in PANDA. In contrast to most track finders the algorithm can handle the challenge of extended hits delivered by PANDA’s central Straw Tube Tracker and thus benefit from its precise spatial resolution. Furthermore, optimization methods are presented that improved the ghost ratio as well as the speed of the algorithm by 70 
%B 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
%C 17 May 2021 - 21 May 2021, Virtual Event hosted by CERN (USA)
Y2 17 May 2021 - 21 May 2021
M2 Virtual Event hosted by CERN, USA
%F PUB:(DE-HGF)16 ; PUB:(DE-HGF)8
%9 Journal ArticleContribution to a conference proceedings
%U <Go to ISI:>//WOS:001329391600157
%R 10.1051/epjconf/202125104002
%U https://repository.gsi.de/record/245580