EURONS Town Meeting 2008
September 17 - 19, 2008 -
Information

Title:	Mr.
Family Name:	Wranne
First Name:	Staffan
Gender:	male
E-Mail:	wrannestudent.chalmers.se
Affiliation for Badge:	Chalmers Univ. of Techn., Göteborg
Institute:	Subatomic
Address (Street):	Dr. Lindhs Gata 3
Postal Code, City:	41325 Gothenburg
Country:	Sweden
Phone:	+46705405554
Fax:
Young researcher with contribution:	Yes
Arrival Date:	September 16
Departure Date:	September 19
Author(s):	Johan Gill, Tobias Persson, Kristoffer Sjögren, Kajsa Sols, Nina Sundström, Staffan Wranne
Institute(s):	Chalmers University of Technology - Subatomic Physics
Title:	Identification of ions by pulse-shape analysis using artificial neural networks
Abstract:	Traditionally, deltaE-E detector combinations have been used for identifying ions, but at lower energies this approach fails due to the dual layer setup. In theory, the shape of the pulse from the interaction of an ion in a semiconductor detector depends on the mass and charge of the ion. Separation of ions using just one semiconductor detector should thus theoretically be possible. Previous attempts within the current project of ion separation by pulse-shape analysis using rise time was inconclusive. As a part of the Detection of Low-Energy Particles (DLEP) research, a Joint Research Action (JRA) of EURONS, artificial neural networks were used as a method to identify different ions. Data from two experiments at Centro Nacional de Aceleradores (CNA) in Seville was used. Simple feed-through back-propagation artificial neural networks were applied to the measurements. The method of using artificial neural networks for identifying the ions was in most cases successful.

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