Track finding in silicon trackers with a small number of layers

We present software based on novel techniques, aiming at track finding in silicon trackers with a small number of layers. The core algorithm is a cellular automaton, followed by a Kalman filter and a Hopfield neural network. The first of two test cases is the forward tracking detector (FTD) of the...

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Detalles Bibliográficos
Autores principales: Frühwirth, R., Glattauer, R., Lettenbichler, J., Mitaroff, W., Nadler, M.
Formato: info:eu-repo/semantics/article
Lenguaje:eng
Publicado: Nucl. Instrum. Methods Phys. Res., A 2013
Materias:
Detectors and Experimental Techniques
2: Common software tools
2.3: Reconstruction toolkit for HEP
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2013.06.035
http://cds.cern.ch/record/1670269

Internet

https://dx.doi.org/10.1016/j.nima.2013.06.035
http://cds.cern.ch/record/1670269

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