Gersabeck, M. et al. (2008) Performance of the LHCb vertex detector alignment algorithm determined with beam test data. Nuclear Instruments and Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment, 596(2), pp. 164-171. (doi: 10.1016/j.nima.2008.07.154)
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Abstract
LHCb is the dedicated heavy flavour experiment at the Large Hadron Collider at CERN. The partially assembled silicon vertex locator (VELO) of the LHCb experiment has been tested in a beam test. The data from this beam test have been used to determine the performance of the VELO alignment algorithm. The relative alignment of the two silicon sensors in a module and the relative alignment of the modules has been extracted. This alignment is shown to be accurate at a level of approximately 2 mm and 0:1 mrad for translations and rotations, respectively, in the plane of the sensors. A single hit precision at normal track incidence of about 10 mm is obtained for the sensors. The alignment of the system is shown to be stable at better than the 10 mm level under air to vacuum pressure changes and mechanical movements of the assembled system.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Eklund, Prof Lars and Szumlak, Professor Tomasz and Parkes, Dr Christopher and Viret, Dr Sebastien |
Authors: | Gersabeck, M., Viret, S., Parkes, C., Akiba, K., Artuso, M., Borel, J., Bowcock, T.J.V., Buytaert, J., Collins, P., Dumps, R., Dwyer, L., Eckstein, D., Eklund, L., Ferro-Luzzi, M., Frei, R., Haefeli, G., Hennessy, K., Huse, T., Jans, E., John, M., Ketel, T.J., Keune, A., Lastovicka, T., Mountain, R., Neufeld, N., Papadelis, A., Stone, S., Szumlak, T., Tobin, M., Van Beuzekom, M., Van Lysebetten, A., Versloot, T.W., de Vries, H., and Wang, J.C. |
College/School: | College of Science and Engineering > School of Physics and Astronomy |
Journal Name: | Nuclear Instruments and Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment |
Publisher: | Elsevier |
ISSN: | 0168-9002 |
ISSN (Online): | 1872-9576 |
Published Online: | 13 August 2008 |
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