Gene expression programming approach to event selection in high energy physics

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

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DC Field	Value	Language
dc.contributor.author	Teodorescu, L	-
dc.coverage.spatial	7	en
dc.date.accessioned	2007-08-31T10:38:49Z	-
dc.date.available	2007-08-31T10:38:49Z	-
dc.date.issued	2006	-
dc.identifier.citation	IEEE Transactions on Nuclear Science. 53 (4) 2221-2227, Aug 2006	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/1187	-
dc.description.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.	en
dc.format.extent	227105 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	Event selection	en
dc.subject	Evolutionary algorithms	en
dc.subject	Gene expression programming	en
dc.title	Gene expression programming approach to event selection in high energy physics	en
dc.type	Research Paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/TNS.2006.878571	-
Appears in Collections:	Mathematical Physics Dept of Electronic and Electrical Engineering Research Papers

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