Application of vertex and mass constraints in track-based alignment

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.

18 pages, 6 figures

References in corpus (4)

• Strong constraints on the rare decays Bs -> mu+ mu- and B0 -> mu+ mu-
• The global covariance matrix of tracks fitted with a Kalman filter and an application in detector alignment
• Alignment procedure of the LHCb Vertex Detector
• Performance of the LHCb Vertex Detector Alignment Algorithm determined with Beam Test Data