Título: Topological Rings for Neural Network Preprocessing in Calorimetry
Autores: Damazio, Denis O.; Seixas, José M.
Resumo: The next experiments in high energy physics depends a lot on good calorimeter (energy meters) data. During experimental beam tests for a calorimeter calibration at CERN, the European Institute for Particle Physics, contaminations on the beam line can arise as great difficult to the calibration procedure. This work presents a neural network system to identify these contaminations using a preprocessing based on the particles deposition profiles. Comparisons with other analysis methodologies shows an efficiency greater than 93.5% in data and contamination identification.
Código DOI: 10.21528/CBRN2003-029
Artigo em PDF: 6CBRN_029.PDF
Arquivo BibTex: 6CBRN_029.bib