Reconstructing charged-particle trajectories in the PANDA Straw Tube Tracker using the LOcal Track Finder (LOTF) algorithm

Simon Gazagnes Gazagnes*, Nasser Kalantar-Nayestanaki, Johan Messchendorp, Jenny Regina, Tobias Stockmanns, M.H.F. Wilkinson

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We present the LOcal Track Finder (lotf) algorithm, a method that performs charged-particle
trajectory reconstruction using the Straw Tube Tracker, one of the central trackers of the antiProton
ANnihilation at DArmstadt (PANDA) detector. The algorithm builds upon the neighboring relations of
the tubes to connect individual hits and form track candidates. In addition, it uses a local fitting procedure
to handle regions where several tracks overlap and utilizes a system of virtual nodes to reconstruct the
z-information of the particle trajectories. We generated 30,000 events to assess the performance of our
approach and compared our results to two other track reconstruction methods. lotf has (1) an average
of 85% of found tracks, (2) the largest number of Fully Pure tracks, (3) the lowest amount of incorrect
reconstructions, and (4) is significantly faster than the other two approaches. Further, we tested our method
using 3,750 data sets composed of 4 events each, showing that our approach handles cases in which events
are mixed. The raw (without parallelization) average reconstruction rate is about 68,000 hits/s, which
makes the present algorithm promising for online data selection and processing.
Original languageEnglish
Article number100
Number of pages20
JournalEuropean Physical Journal A
Volume59
DOIs
Publication statusPublished - 5-May-2023

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