Johannes Bilk ; Jens Sören Lange

2021
II. Institute of Physics Giessen

Abstract: Slow pions (pT<230 MeV/c) are detected and classified based exclisively upon their cluster shape in the PXD, using a neural network (NN) performing image processing. Input to the NN is a 9x9 pixel matrix. ADC values are encoded as grayscale values. The NN uses convolution to encode neighborhood relations in the pixel data. 78% efficiency ("precision") of correct pion identification and 79% rejection of background is achieved.

Note: Presented on 25 11 2021
Note: MSc