A third level trigger programmable on FPGA for the gamma/hadron separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM classifier

• Main Authors: Frailis, Marco, Mansutti, Oriana, Boinee, Praveen, Cabras, Giuseppe, De Angelis, Alessandro, De Lotto, Barbara, Forti, Alberto, Dell'Orso, Mauro, Paoletti, Riccardo, Scribano, Angelo, Turini, Nicola, Mariotti, Mose', Peruzzo, Luigi, Saggion, Antonio
• Format: Journal Article
• Language: English
• Published: 24.02.2006
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Computer Vision and Pattern Recognition
• DOI: 10.48550/arxiv.cs/0602083

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.