2008
DOI: 10.1016/j.nima.2008.07.154
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Performance of the LHCb vertex detector alignment algorithm determined with beam test data

Abstract: LH C b i s the dedi cated heavy avour experi m ent at the Large H adron C ol l i der at C ER N . T he parti al l y assem bl ed si l i con vertex l ocator (V ELO ) of the LH C b experi m ent has been tested i n a beam test.T he data from thi sbeam testhave been used to determ i ne the perform ance ofthe V ELO al i gnm ent al gori thm .T he rel ati ve al i gnm ent ofthe two si l i con sensors i n a m odul e and the rel ati ve al i gnm ent ofthe m odul es has been extracted.T hi s al i gnm ent i s show n to be ac… Show more

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Cited by 15 publications
(6 citation statements)
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“…A comprehensive overview of the performance of the alignment software with beam test data is given in Ref. [6]. A first indication of the quality of the alignment algorithms can be obtained by studying residual distributions.…”
Section: Beam Test Resultsmentioning
confidence: 99%
“…A comprehensive overview of the performance of the alignment software with beam test data is given in Ref. [6]. A first indication of the quality of the alignment algorithms can be obtained by studying residual distributions.…”
Section: Beam Test Resultsmentioning
confidence: 99%
“…The first method [34,35] performs the Φ sensor alignment by fitting an analytical form to the residuals as a function of φ , and performs the remaining alignment stages using a matrix inversion method, based on Millepede [36], which performs a χ 2 minimisation that depends upon both the track and alignment parameters. This alignment method is fast but the implementation fits straight line tracks in the VELO.…”
Section: Track-based Alignment Methodsmentioning
confidence: 99%
“…The performance of this algorithm has also been demonstrated with beam test data and is reported in Ref. [10].…”
Section: Simulation Studiesmentioning
confidence: 99%