par D'Hondt, J.;Tavernier, S.;Frühwirth, Rudolf;Waltenberger, Wolfgang;Vanlaer, Pascal
Référence IEEE Nuclear Science Symposium conference record, 2, page (858-862), N26-115
Publication Publié, 2003
Article révisé par les pairs
Résumé : Robust vertex fitting algorithms are expected to improve the knowledge of the vertex position and of its uncertainty, in the presence of mis-measured or mis-associated tracks. Such contaminations are likely to happen in high luminosity HEP experiments. We have performed a simulation study of the sensitivity of two types of robust algorithms: a trimmed least-squares estimator and an adaptive estimator. Their statistical properties are studied as a function of the source and the level of contamination, and compared to the results obtained with classical least-squares estimators.