Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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 |
| Issue 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 Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 221.78 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.