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We studied the application of the Pseudo-Zernike features as image parameters(instead of the Hillas parameters) for the discrimination between the imagesproduced by atmospheric electromagnetic showers caused by gamma-rays and theones produced by atmospheric electromagnetic showers caused by hadrons in theMAGIC Experiment. We used a Support Vector Machine as classification algorithmwith the computed Pseudo-Zernike features as classification parameters. Weimplemented on a FPGA board a kernel function of the SVM and the Pseudo-Zernikefeatures to build a third level trigger for the gamma-hadron separation task ofthe MAGIC Experiment

cornell university

A THIRD LEVEL TRIGGER PROGRAMMABLE ON FPGA FOR THE GAMMA/HADRON SEPARATION IN A CHERENKOV TELESCOPE USING PSEUDO-ZERNIKE MOMENTS AND THE SVM CLASSIFIER