Brunel University Research Archive (BURA) >
College of Engineering, Design and Physical Sciences >
Dept of Electronic and Computer Engineering >
Dept of Electronic and Computer Engineering Research Papers >

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1187

Title: Gene expression programming approach to event selection in high energy physics
Authors: Teodorescu, L
Keywords: Event selection
Evolutionary algorithms
Gene expression programming
Publication Date: 2006
Publisher: IEEE
Citation: IEEE Transactions on Nuclear Science. 53 (4) 2221-2227, Aug 2006
Abstract: Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented. The algorithm was successfully used for event selection on samples with both low and high background level. It allowed automatic identification of selection rules that can be interpreted as cuts applied on the input variables. The signal/background classification accuracy was over 90% in all cases.
URI: http://bura.brunel.ac.uk/handle/2438/1187
DOI: http://dx.doi.org/10.1109/TNS.2006.878571
Appears in Collections:Mathematical Physics
Dept of Electronic and Computer Engineering Research Papers

Files in This Item:

File Description SizeFormat
Fulltext.pdf221.78 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.