Constraining Effective Field Theories with Machine Learning

30 Apr 2018Johann BrehmerKyle CranmerGilles LouppeJuan Pavez

We present powerful new analysis techniques to constrain effective field theories at the LHC. By leveraging the structure of particle physics processes, we extract extra information from Monte-Carlo simulations, which can be used to train neural network models that estimate the likelihood ratio... (read more)

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