Raffaele Tito D’Agnolo (SLAC) “Neural Networks for New Physics Searches”

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Abstract: After an introduction to machine learning from the perspective of a theoretical physicist, I will describe a new method to perform a model independent search for new phenomena on data, with an emphasis on the LHC. I will discuss a systematic way to address the look-elsewhere effect and other issues that led similar attempts to fail rather spectacularly in the past.