Speaker
Mr
Markus Preston
(Stockholm University)
Description
PANDA is one of the four experimental pillars of the upcoming FAIR facility in Darmstadt,
Germany. In PANDA, an antiproton beam with an energy between 1.5 and 15 GeV/$c$ will interact in
a hydrogen or nuclear target, allowing for studies of various aspects of non-perturbative QCD.
Motivated by the high interaction rates and the diverse physics goals of the experiment, a triggerless
readout approach will be employed. In this approach, each detector subsystem will be equipped
with intelligent front-end electronics that independently identify signals of interest in real time. In
order to detect the most forward-directed photons, electrons and positrons in PANDA, a shashlyk-
type calorimeter is being constructed. This detector consists of 1512 individual cells of interleaved
plastic scintillators and lead plates, and has been optimised to have a relative energy resolution of
approximately 3%/$\sqrt{\text{GeV}}$ and a time resolution of approximately 100 ps/$\sqrt{\text{GeV}}$. The signals from this detector will be digitised by sampling ADCs and processed in real time by FPGAs. As part of the triggerless approach, these FPGAs will perform so-called feature extraction on the digitised
signals, where the pulse-height and time of incoming pulses are extracted in real time. A substantial
pileup rate is expected, and it is foreseen that the chosen algorithm should enable reconstruction of
such events. The work presented here has consisted of developing a detailed Geant4-based model of
the shashlyk calorimeter and readout system, calibrating this model against testbeam data, and using
it to evaluate potential feature-extraction algorithms for the PANDA shashlyk calorimeter.
Primary author
Mr
Markus Preston
(Stockholm University)
Co-author
Prof.
Per-Erik Tegnér
(Stockholm University)
