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#93 A CERN Odyssey, with Kevin Greif

Learning Bayesian Statistics

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Unfolding in Particle Physics

This chapter explains the concept of unfolding in particle physics, where machine learning is used to unfold data sets in higher dimensions, providing more detailed measurements. It discusses the integration of statistics and physics within the Bayesian statistics framework and highlights the similarity between unfolding and backward sampling. The chapter also explores the Atlas experiment at CERN and how the data from the detector is analyzed to infer what happened in the collision.

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