Robust vertex fitters
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T. Speer; R. FrΓΌhwirth; P. Vanlaer; W. Waltenberger
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Article
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2006
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Elsevier Science
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English
β 120 KB
While linear estimators are optimal when the model is linear and all random noise is Gaussian, they are very sensitive to outlying tracks. Non-linear vertex reconstruction algorithms offer a higher degree of robustness against such outliers. Two of the algorithms presented, the Adaptive filter and t