PANDA experiment is one of the main scientific pillars of the fu-
ture Facility for Antiproton and Ion Research, currently under construc-
tion in Darmstadt, Germany. It will investigate hadron physics measur-
ing antipron-proton annihilation reactions. The antiproton beam with mo-
, will allow to explore a broad physics
program including hyperon, open-charm and exotic hadronic states.
The Micro Vertex Detector (MVD) is the innermost sub-detector of the
tracking system of the
PANDA experiment. It is based on silicon sensors
with pixel and micro strip segmentation and its main task is the precise
spatial identification and measurement of primary and secondary decay
This thesis describes the key features of the
PANDA Strip ASIC (PASTA),
a full-custom chip developed to read out the double-sided micro strip sen-
sors of the MVD. PASTA aims at highly resolved time-stamping and charge
information gathering through a time-digital approach. A Time to Digital
Converter (TDC), allowing a time bin width down to
, measures the
Time over Threshold (ToT) of the sensor signals processed by a application
specific, newly developed front-end amplifier. In particular, this thesis re-
ports the theoretical studies yielding to the final implementation showing
the performance of the front-end stage evaluated with professional simula-
This thesis aims to study low-energy strong interaction effects of open-charm mesons. Our studies are based on the chiral Lagrangian supplemented by constraints from the heavy-quark spin symmetry. The pseudoscalar and vector open-charm-meson masses are calculated up to next-to-next-to-next leading order (N^3LO) corrections. Different assumptions on the counting rules are investigated. It is illustrated that a chiral expansion uniformly converges rapidly up to Goldstone boson masses as heavy as the kaon masses if formulated in terms of physical meson masses. First estimates of the relevant low-energy parameters are extracted from lattice QCD data on the quark mass dependence of the D meson masses. Such low-energy parameters are of crucial importance for the low-energy interaction of the Goldstone bosons with the D mesons.
To study rare processes, such as the formation of exotic particles, the PANDA experiment has been set up. To process the large dataflow, the subsystems preprocess the data. One example is the algorithm to search online for clusters in the data of the calorimeter, developed in this thesis. Due to the high interaction rates, the time is important. Optima have been determined to assign the data to (time)bunches (257, 97, and 15 ns) and hits to clusters (282, 122, and 40 ns), for interaction rates of 200 kHz and less, 2 MHz, and 20 MHz, respectively, and each hit must have a minimal energy of 3 MeV. Using these optima, the efficiencies for the investigated two- and seven-photon channels are 70-80% and 9-20%, respectively, depending on the interaction rate. In addition, it was investigated if the algorithm can run on the readout system, making use of the processing power in the data concentrators and the nodes in the data collection network. This was found to be possible, and, furthermore, the processing time using this approach is much lower. An important note to the efficiencies is that there were problems in creating the time stamps for the hits, which may cause the obtained results to deviate from reality. In addition, another step needs to be added to the reconstruction, where the event selection takes place, to determine the final efficiencies. It is recommended to proceed with the development of the cluster finding algorithm, as it delivers good performance at low costs.