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Abstract: An event reweighting technique incorporated in multivariate trainingalgorithm has been developed and tested using the Artificial Neural NetworksANN and Boosted Decision Trees BDT. The event reweighting training arecompared to that of the conventional equal event weighting based on the ANN andthe BDT performance. The comparison is performed in the context of the physicsanalysis of the ATLAS experiment at the Large Hadron Collider LHC, which willexplore the fundamental nature of matter and the basic forces that shape ouruniverse. We demonstrate that the event reweighting technique provides anunbiased method of multivariate training for event pattern recognition.



Author: Hai-Jun Yang, Tiesheng Dai, Alan Wilson, Zhengguo Zhao, Bing Zhou

Source: https://arxiv.org/



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