Tue26Jan20214:00 pmZoom Meeting. See Below.
Colloquium: Machine Learning in Long-Baseline Neutrino Oscillation Experiments
Department of Physics and Astronomy
Iowa State University
Machine Learning in Long-Baseline Neutrino Oscillation Experiments
Neutrinos, the most abundant massive particle in the Universe have profoundly influenced its evolution, but are still the least understood fermion in the Standard Model (SM). The 2015 Nobel Prize in Physics was awarded to T. Kajita and A. McDonald following numerous experimental observations of neutrino oscillations, the process by which neutrinos created in one flavor state are observed interacting as different flavor states after traveling a given distance. This colloquium will cover two experiments focused on furthering our understanding of this phenomenon. NOνA is the current flagship long-baseline neutrino experiment in the USA and consists of two functionally identical, finely granulated detectors that are separated by 809 km. The NOνA three flavor neutrino oscillation results presented in June 2020 will be discussed with particular focus given to the impact that machine learning algorithms had increasing the sensitivity of the analysis. These algorithms use topological features for the reconstruction of neutrino interaction flavor and particle identification. The colloquium will conclude with an exploration of how machine learning tools will inform the physics reach of DUNE, a planned long-baseline neutrino experiment, which will begin data-taking in the mid-2020s.
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Meeting ID: 919 282 27187