1995
DOI: 10.1016/0168-9002(95)00274-x
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A multidimensional unfolding method based on Bayes' theorem

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Cited by 1,001 publications
(599 citation statements)
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“…The results obtained from the bin-by-bin correction are crosschecked using an iterative Bayesian approach [34] and found to be consistent. In addition, a consistency test is performed by correcting the MC@NLO signal sample using the PYTHIA-derived C DY factor.…”
Section: Bin-by-bin Correctionmentioning
confidence: 99%
“…The results obtained from the bin-by-bin correction are crosschecked using an iterative Bayesian approach [34] and found to be consistent. In addition, a consistency test is performed by correcting the MC@NLO signal sample using the PYTHIA-derived C DY factor.…”
Section: Bin-by-bin Correctionmentioning
confidence: 99%
“…To measure the cross section, the background is subtracted bin-by-bin. The migration due to the p t resolution is corrected by a one-step Bayesian unfolding [20]. The data are corrected for the selection efficiency which includes acceptance, and is calculated bin-by-bin as the ratio of the number of fully simulated jets selected in PYTHIA over the number of generated jets, as formed by the KTCLUS algorithm applied to particles at generator level.…”
Section: Differential Cross Sectionmentioning
confidence: 99%
“…At p T 70 GeV, the correction becomes more important again and it reaches up to 6% at the highest p T . Track momentum resolution is corrected with an iterative Bayesian unfolding procedure [19]. Results are obtained with two iterations.…”
Section: Discussionmentioning
confidence: 99%