| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1833033 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2006 | 5 Pages |
Abstract
Genetic Algorithms are used to separate the signal from the background in the Standard Model Higgs boson search at LHC. Based on Monte Carlo events, using PYTHIA 6.1 and produced at LHC energies, two approaches are investigated. First discriminant function parameters and neural network connection weights are optimized. In a multidimensionnal search approach, hyperplanes and hypersurfaces are computed. In both cases, the performances are improved and the results compare favorably with other multivariate analysis.
Related Topics
Physical Sciences and Engineering
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Authors
Mostafa Mjahed,