par Waltenberger, Wolfgang;Frühwirth, Rudolf;Vanlaer, Pascal 
Référence Journal of physics. G, Nuclear and particle physics, 34, 12, page (343-356)
Publication Publié, 2007
Référence Journal of physics. G, Nuclear and particle physics, 34, 12, page (343-356)
Publication Publié, 2007
Article révisé par les pairs
| Résumé : | Vertex fitting frequently has to deal with both mis-associated tracks and mis-measured track errors. A robust, adaptive method is presented that is able to cope with contaminated data. The method is formulated as an iterative re-weighted Kalman filter. Annealing is introduced to avoid local minima in the optimization. For the initialization of the adaptive filter a robust algorithm is presented that turns out to perform well in a wide range of applications. The tuning of the annealing schedule and of the cut-off parameter is described using simulated data from the CMS experiment. Finally, the adaptive property of the method is illustrated in two examples. |
