6 citations · 14 across the 7 of their papers we have counts for
7 papers
A third level trigger programmable on FPGA for the gamma/hadron separation in a Cherenkov telescope using pseudo-Zernike moments and the SVM classifier
Marco Frailis, Oriana Mansutti, Praveen Boinee +11
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 e…
Simulating the High Energy Gamma-ray sky seen by the GLAST Large Area Telescope
F. Longo, P. Azzi, D. Bastieri +26
This paper presents the simulation of the GLAST high energy gamma-ray telescope. The simulation package, written in C++, is based on the Geant4 toolkit, and it is integrated into a…
Neural networks for gamma-hadron separation in MAGIC
P. Boinee, F. Barbarino, A. De Angelis +2
Neural networks have proved to be versatile and robust for particle separation in many experiments related to particle astrophysics. We apply these techniques to separate gamma ray…
The MAGIC Experiment and Its First Results
D. Bastieri, R. Bavikadi, C. Bigongiari +16
With its diameter of 17m, the MAGIC telescope is the largest Cherenkov detector for gamma ray astrophysics. It is sensitive to photons above an energy of 30 GeV. MAGIC started oper…
Multidimensional data classification with artificial neural networks
P. Boinee, F. Barbarino, A. De Angelis
Multi-dimensional data classification is an important and challenging problem in many astro-particle experiments. Neural networks have proved to be versatile and robust in multi-di…
Self-Organising Networks for Classification: developing Applications to Science Analysis for Astroparticle Physics
A. De Angelis, P. Boinee, M. Frailis +1
Physics analysis in astroparticle experiments requires the capability of recognizing new phenomena; in order to establish what is new, it is important to develop tools for automati…