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Improvement and generalization of ABCD method with Bayesian inference
We propose that a dataset consisting of a signal and many backgrounds is well described through a mixture model.
Towards a method to anticipate dark matter signals with deep learning at the LHC
We study several simplified dark matter (DM) models and their signatures at the LHC using neural networks.
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