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, V. Fave, M. Gersabeck, A. Hicheur, W. Hulsbergen*, D. Hutchcroft, A. Kozlinskiy, R. W. Lambert, F. Maciuc, R. Maerki, M. Martinelli, M. MerkM. Needham, L. Nicolas, J. Palacios, C. Parkes, A. Pellegrino, S. Pozzi, G. Raven, E. Rodrigues, C. Salzmann, O. Schneider, E. Simioni, O. Steinkamp, J. van Tilburg, N. Tuning, U. Uwer, S. Vecchi, S. Viret

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

30 Citations (Scopus)


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. (c) 2013 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)48-55
Number of pages8
JournalNuclear instruments & methods in physics research section a-Accelerators spectrometers detectors and associated equipment
Publication statusPublished - 1-Jun-2013
Externally publishedYes


  • Detector alignment
  • Vertex fit
  • Curvature bias

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