Speaker
Description
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 all true tracks
and to be able to distinguish them from false tracks. Part of the preparation
for the experiment is therefore the development of a fast online track finder.
This work presents an online track finding algorithm based on Hough transfor-
mations, 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 %. Due to further development potential in terms
of displaced vertex finding and speed optimization on GPUs, this algorithm
promises to exceed the quality and speed of other track finders developed for
PANDA.
