A third level trigger programmable on FPGA for the gamma/hadron   separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM   classifier
  We studied the application of the Pseudo-Zernike features as image parameters (instead of the Hillas parameters) for the discrimination between the images produced by atmospheric electromagnetic showers caused by gamma-rays and the ones produced by atmospheric electromagnetic showers caused by hadrons in the MAGIC Experiment. We used a Support Vector Machine as classification algorithm with the computed Pseudo-Zernike features as classification parameters. We implemented on a FPGA board a kernel function of the SVM and the Pseudo-Zernike features to build a third level trigger for the gamma-hadron separation task of the MAGIC Experiment. 
Marco Frailis, Oriana Mansutti, Praveen Boinee, Giuseppe Cabras,   Alessandro De Angelis, Barbara De Lotto, Alberto Forti, M...