Application of vertex and mass constraints in track-based alignment

J. Amoraal, J. Blouw, S. Blusk, S. Borghi, M. Cattaneo, N. Chiapolini, G. Conti, M. Deissenroth, F. Dupertuis, R. Van Der Eijk, V. Fave, M. Gersabeck, A. Hicheur, W. Hulsbergen, D. Hutchcroft, A. Kozlinskiy, R. W. Lambert, F. MacIuc, R. Märki, M. MartinelliM. Merk, M. Needham, L. Nicolas, J. Palacios, C. Parkes, A. Pellegrino, S. Pozzi, G. Raven, E. Rodrigues, C. Salzmann, M. Schiller, O. Schneider, E. Simioni, O. Steinkamp, J. Van Tilburg, N. Tuning, U. Uwer, S. Vecchi, S. Viret

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


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 D0K-π+ decays to remove a curvature bias in the LHCb spectrometer.


  • Curvature bias
  • Detector alignment
  • Vertex fit

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


Dive into the research topics of 'Application of vertex and mass constraints in track-based alignment'. Together they form a unique fingerprint.

Cite this