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Machine Learning for New Physics Searches

High Energy Physics - Phenomenology 2018-10-01 v1
Authors: Raffaele Tito D'Agnolo
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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.

Keywords

neural networks in physics machine learning in materials science physics reviews and summaries

Cite

@article{arxiv.1809.11150,
  title  = {Machine Learning for New Physics Searches},
  author = {Raffaele Tito D'Agnolo},
  journal= {arXiv preprint arXiv:1809.11150},
  year   = {2018}
}

Comments

Talk presented CIPANP2018. 8 pages, LaTeX, 1 pdf figure

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