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Robust Vertex Fitters
While linear least-square estimators are optimal when the model is linear and all random noise is Gaussian, they are very sensitive to outlying tracks. Non-linear vertex reconstruction algorithms offer a higher degree of robustness against such outliers Two of the algorithms presented, the Adaptiv...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2005
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1358649 |