Local independent component analysis applied to highly segmented detectors
A novel particle discrimination strategy is proposed in this work for the ATLAS detector High-Level Trigger. The available data set, composed by electron and jet signatures, was clustered using Self-Organizing Maps and Local Independent Components were estimated for each group. A hybrid neural-genet...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | A novel particle discrimination strategy is proposed in this work for the ATLAS detector High-Level Trigger. The available data set, composed by electron and jet signatures, was clustered using Self-Organizing Maps and Local Independent Components were estimated for each group. A hybrid neural-genetic structure was used as classifier. Considered performance improvement was achieved with the proposed approach, 97.5% of electrons were correctly identified for 3 % jet misclassification. |
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ISSN: | 0271-4302 2158-1525 |
DOI: | 10.1109/ISCAS.2008.4542090 |