Principal Component Analysis Applied to Digital Pulse Shape Analysis for Isotope Discrimination

Principal Component Analysis Applied to Digital Pulse Shape Analysis for Isotope Discrimination

Digital pulse shape analysis (DPSA) techniques are becoming increasingly important for the study of nuclear reactions since the development of fast digitizers. These techniques allow us to obtain the (A, Z) values of the reaction products impinging on the new generation solid-state detectors. In thi...

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Bibliographic Details
Main Authors:	Katherine Guerrero-Morejón, José María Hinojo-Montero, Fernando Muñoz-Chavero, Juan Luis Flores-Garrido, Juan Antonio Gómez-Galán, Ramón González-Carvajal
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Sensors
Subjects:	support vector machine (SVM) principal component analysis (PCA) isotopes discrimination digital pulse shape analysis (DPSA) machine learning (ML) edge computing
Online Access:	https://www.mdpi.com/1424-8220/23/23/9418

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