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PatSeeding: A Standalone Track Reconstruction Algorithm

A standalone pattern recognition algorithm for the LHCb T stations is presented. Its performance on B_d --> J/psi K_s and minimum bias Monte Carlo events is evaluated, and tunings for reconstruction without magnetic field, with misalignments or for reconstruction of cosmics are shown. Furthermore...

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Detalles Bibliográficos
Autores principales: Callot, O, Schiller, M
Lenguaje:eng
Publicado: 2008
Materias:
Acceso en línea:http://cds.cern.ch/record/1119095
Descripción
Sumario:A standalone pattern recognition algorithm for the LHCb T stations is presented. Its performance on B_d --> J/psi K_s and minimum bias Monte Carlo events is evaluated, and tunings for reconstruction without magnetic field, with misalignments or for reconstruction of cosmics are shown. Furthermore, this notes describes changes to the algorithm which make it suitable for trigger applications, especially for Level 0 confirmation (the performance of these modifications is evaluated in an upcoming LHCb note).