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arXiv · 1401.6813

Background subtraction using probabilistic event weights

Yadi Wang·Beijiang Liu·Xiaoyan Shen·Ziping Zhang
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Abstract

Background treatment is crucial to extract physics from precision experiments. In this paper, we introduce a novel method to assign each event a signal probability. This could then be used to weight the event's contribution to the likelihood during fitting. To illustrate the effect of this method, we test it with MC samples. The consistence between the constructed background and the background from MC truth shows that the background subtraction method with probabilistic event weights is feasible in partial wave analysis at BES III.

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Yadi Wang, Beijiang Liu, Xiaoyan Shen, Ziping Zhang. 2014-01-27. Background subtraction using probabilistic event weights. https://arxiv.org/abs/1401.6813

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