Machine Learning for New Physics Searches

2018/09/28 by D'Agnolo, Raffaele Tito
#FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)

paper · doi:10.48550/arxiv.1809.11150

Abstract

This is the summary of a talk given at CIPANP 2018. I briefly introduce neural networks and then discuss a new technique for model-independent new physics searches in background-dominated datasets.

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