Anastasia Karavdina

The construction, digitizing electronics and results of test with cosmic rays of cylindrical drift chamber for CMD-3 detector are described. To uniformly fill the sensitive volume small hexagonal cells were chosen. The coordinate along the wire is measured by charge division technique. A resolution in the R–ϕ-plane of better than 110μm and about 3 mm along the wire as well as a dE/dx resolution of about 12% were obtained in cosmic test runs.

In 2018 data taking for hadronphysics facility PANDA is planned to commence. It will be build at the antiproton accelerator HESR, which itself is a part of the FAIR complex (GSI, Darmstadt, Germany). The luminosity at PANDA will be measured by a dedicated sub-detector, which will register scattered antiproton tracks from pp elastic scattering. From a software point of view, the Luminosity Detector is a tracking system. Therefore the most of its offline software parts are typical for a track reconstruction. The basic concept and Monte Carlo based performance studies of each reconstruction step is presented in this paper.

The construction, digitizing electronics and results of test with cosmic rays of cylindrical drift chamber for CMD-3 (Cryogenic Magnetic Detector) detector are described. To uniformly fill sensitive volume small hexagonal cells were chosen. A coordinate along wire is measured by charge division technique. Resolution in R–φ-plane better than 100μm and about 2 mm along wire as well as dE/dx resolution about 12% in cosmic test runs were obtained.

A large part of the physics program of the PANDA experiment at FAIR deals with the search for new conventional and exotic hadronic states like e.g. hybrids and glueballs. For many analyses PANDA will need an amplitude analysis, e.g. a partial wave analysis (PWA), to identify possible candidates and for the classification of known states. Therefore, a new, agile and efficient amplitude analysis framework ComPWA is under development. It is modularized to provide easy extension with models and formalisms as well as fitting of multiple datasets, even from different experiments. Experience from existing PWA programs was used to fix the requirements of the framework and to prevent it from restrictions. It will provide the standard estimation and optimization routines like Minuit2 and the Geneva library and be open to insert additional ones. The challenges involve parallelization, fitting with a high number of free parameters, managing complex meta-fits and quality assurance / comparability of fits. To test and develop the software, it will be used with data from running experiments like BaBar or BESIII. These proceedings show the status of the framework implementation as well as first test results.