Optimization of tau identification in Atlas Experiment using multivariate Tools
نویسندگان
چکیده
Elementary particle physics experiments, searching for very rare processes, require the efficient analysis and selection algorithms able to separate signal from the overwhelming background. In the last years a number of learning machines have been developed. Three of such algorithms have been applied to identify τ leptons in the ATLAS experiment: Probability Density Estimator with Range Searches (PDE-RS), Neural Network and Support Vector Machine (SVM).
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عنوان ژورنال:
- Computer Science (AGH)
دوره 9 شماره
صفحات -
تاریخ انتشار 2008