Speaker
Description
PANDA is a hadron physics research detector at the FAIR facility in Darmstadt, using antiproton beams with momenta between 1.5 and 15 GeV/c interacting with fixed proton targets. From the scientific requirements, the high-performance of electromagnetic calorimeters (EMC) is of utmost importance for the success of the PANDA experiment. Excellent identification and reconstruction of multi-photon/lepton events are crucial for the study of resonances decaying to pi0/eta, photons or electrons. In addition, final states with many photons can occur, leading to a low photon threshold as a central requirement for the EMC. To measure wide angle Compton scattering, the detection of high energy photons is also needed. Thus, high-performance of EMC over a large energy range from a few MeV up to several GeV is required. To achieve these requirements from software side, a dedicated calibration method including Machine Learning, is developed. This talk presents the calibration strategies and the implementation to Monte Carlo simulated data sample. After calibration, high-performance of PANDA EMC can be achieved with improved energy scale stability and resolution.
Details
Hang Qi, PhD student, University of Science and Technology of China, China, http://en.ustc.edu.cn/
| Is this abstract from experiment? | Yes |
|---|---|
| Name of experiment and experimental site | PANDA Experiment, Darmstadt, Germany |
| Is the speaker for that presentation defined? | Yes |
| Internet talk | Yes |
