Application of Neural Networks Optimized by Genetic Algorithms to Higgs Boson Search

0404627 - UIVT-O 20020039 RIV NL eng C - Conference Paper (international conference)
Hakl, František - Hlaváček, M. - Kalous, R.
Application of Neural Networks Optimized by Genetic Algorithms to Higgs Boson Search.
Computational Science. Vol. 3. Berlin: Springer, 2002 - (Sloot, P.; Tan, C.; Dongarra, J.; Hoekstra, A.), s. 554-563. Lecture Notes in Computer Science, 2331. ISBN 3-540-43594-8. ISSN 0302-9743.
[ICCS 2002. International Conference. Amsterdam (NL), 21.04.2002-24.04.2002]
R&D Projects: GA MPO RP-4210/69/97; GA MŠMT LN00B096
Keywords : neural network * genetic algorithms * global optimization * Higgs boson search * Mbb distribution
Subject RIV: BA - General Mathematics

Neural network (NN) model with a special type of data flow is used to separate ttjj background from H-->bb events. A genetic algorithm principles are used to tune parameters of NN in order to optimize the final NN performance. Our results show that NN filters can be used to emphasize shape of M_bb distribution for events accepted by filter. This improvement can be used as a criterion of existence of Higgs boson decay in considered data.
Permanent Link: http://hdl.handle.net/11104/0124869