Application of vertex and mass constraints in track-based alignment
arXiv:1207.4756 · doi:10.1016/j.nima.2012.11.192
Abstract
The software alignment of planar tracking detectors using samples of charged particle trajectories may lead to global detector distortions that affect vertex and momentum resolution. We present an alignment procedure that constrains such distortions by making use of samples of decay vertices reconstructed from two or more trajectories and putting constraints on their invariant mass. We illustrate the method by using a sample of invariant-mass constrained vertices from D^0 --> K^- pi^+ decays to remove a curvature bias in the LHCb spectrometer.
arXiv comment18 pages, 6 figures
References in corpus (6)
- Strong constraints on the rare decays Bs -> mu+ mu- and B0 -> mu+ mu-
- First evidence of direct CP violation in charmless two-body decays of Bs mesons
- The global covariance matrix of tracks fitted with a Kalman filter and an application in detector alignment
- Alignment procedure of the LHCb Vertex Detector
- Local Alignment of the BABAR Silicon Vertex Tracking Detector
- Performance of the LHCb Vertex Detector Alignment Algorithm determined with Beam Test Data
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- Curvature-bias corrections using a pseudomass method
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- A parallel algorithm for fast reconstruction of primary vertices on heterogeneous architectures