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Least squares approach to the alignment of the generic high precision tracking system
A least squares method to solve a generic alignment problem of a high granularity tracking system is presented. The algorithm is based on an analytical linear expansion and allows for multiple nested fits, e.g. imposing a common vertex for groups of particle tracks is of particular interest. We pres...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2006
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1142/9781860948985_0015 http://cds.cern.ch/record/2743147 |