Adaptive vertex fitting
Adaptive vertex fitting
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DOI：
10.1088/0954-3899/34/12/n01
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发表时间：
2007-12-01
影响因子：
3.5
通讯作者：
Vanlaer, Pascal
中科院分区：
文献类型：
--
作者：
Waltenberger, Wolfgang;Fruehwirth, Rudolf;Vanlaer, Pascal
顶点拟合经常必须处理错误关联的轨迹和错误测量的轨迹误差。一个强大的，自适应的方法，是能够应付污染的数据。该方法被制定为一个迭代重新加权卡尔曼滤波器。引入退火以避免优化中的局部极小值。对于自适应滤波器的初始化，提出了一种鲁棒算法，该算法在广泛的应用中表现良好。退火时间表和截止参数的调整描述使用模拟数据从CMS实验。最后通过两个算例说明了该方法的自适应性。
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.