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RICH pattern recognition for LHCb
An algorithm for performing pattern recognition in RICH detectors is described. It uses a maximum-likelihood technique, comparing the predicted and observed distributions of detected photoelectrons. The algorithm is able to handle regions of high track density, for which LHCb provides a good example...
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Lenguaje: | eng |
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1999
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Acceso en línea: | https://dx.doi.org/10.1016/S0168-9002(99)00310-1 http://cds.cern.ch/record/410848 |