A third level trigger programmable on FPGA for the gamma/hadron separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM classifier
Computer Vision and Pattern Recognition
2017-08-23 v1 Artificial Intelligence
Abstract
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.
Cite
@article{arxiv.cs/0602083,
title = {A third level trigger programmable on FPGA for the gamma/hadron separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM classifier},
author = {Marco Frailis and Oriana Mansutti and Praveen Boinee and Giuseppe Cabras and Alessandro De Angelis and Barbara De Lotto and Alberto Forti and Mauro Dell'Orso and Riccardo Paoletti and Angelo Scribano and Nicola Turini and Mose' Mariotti and Luigi Peruzzo and Antonio Saggion},
journal= {arXiv preprint arXiv:cs/0602083},
year = {2017}
}