کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1831557 1027498 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust vertex fitters
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم ابزار دقیق
پیش نمایش صفحه اول مقاله
Robust vertex fitters
چکیده انگلیسی

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 the Trimmed Kalman Filter are able to down-weight or discard these outlying tracks, while a third, the Gaussian-sum filter, offers a better treatment of non-Gaussian distributions of track parameter errors when these are modelled by Gaussian mixtures.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 566, Issue 1, 1 October 2006, Pages 149–152
نویسندگان
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