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Learning Bayesian Statistics

#93 A CERN Odyssey, with Kevin Greif

Oct 18, 2023
Doctoral candidate in particle physics at UC Irvine, Kevin Greiff, takes a tour of the CERN campus with the host. They discuss topics such as unfolding in particle physics, muons, calorimeters, dark matter, limitations of the standard model, data storage challenges, antimatter, and Boltzmann's contributions to physics.
01:49:05

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Particle physics, dark matter, dark energy, and machine learning were discussed during the CERN visit.
  • The challenge of pileup interactions and the statistical models used to mitigate their effects were explored.

Deep dives

Overview of the podcast episode

The podcast episode takes place at CERN, the heart of Particle Physics research. The host visits Kivinkive, a doctoral candidate in Particle Physics, to explore topics such as Particle Physics, Dark Matter, Dark Energy, and Machine Learning. They discuss the purpose of Atlas, one of the experiments at CERN, and its role in understanding the properties of particles. The episode also delves into the challenges of dealing with pileup interactions and the statistical models used to mitigate their effects. Overall, the episode provides an in-depth look at the research and discoveries in the field of Particle Physics.

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