Titlebook: Domain Generalization with Machine Learning in the NOvA Experiment; Andrew T.C. Sutton Book 2023 The Editor(s) (if applicable) and The Aut

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Andrew T.C. SuttonNominated as an outstanding thesis by the University of Virginia, USA.Reviews the history and physics of the neutrino.Shows how domain generalization can reduce the impact of uncertainties in HEP expe

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A Review of Neutrino Physics,ystematically and unify them in a manner that obeys mathematical restrictions motivated by physical observations. From those theories we can model complex interactions and understand one of the most interesting puzzles that neutrinos have to offer: neutrino oscillations or the sponatneuous transition from one distinct particle to another.

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Social Identity in a Divided Cyprusystematically and unify them in a manner that obeys mathematical restrictions motivated by physical observations. From those theories we can model complex interactions and understand one of the most interesting puzzles that neutrinos have to offer: neutrino oscillations or the sponatneuous transitio

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https://doi.org/10.1007/978-3-319-30552-3f 2 GeV and a separation of 809 km, NOvA is setup to observe the first oscillation maximum where the majority of muon-type neutrinos have turned into either electon or tau-type neutrinos. The NOvA experiment, being composed of materials with a low atomic number, was designed to efficiently detect bo

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Pam Denbesten,Robert Faller,Yukiko Nakanoed where nearby hits in time and space are grouped together as they are likely to have come from the same source. Next, we begin to resolve individual particles, and apply machine learning techniques to determine their specific types. Finally, in order to perform our physics analyses, we must estima

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Pam Denbesten,Robert Faller,Yukiko Nakanoy simulation is inherently an imperfect representation of the real physical processes that these networks are meant to target. In the jargon of machine learning, we are training networks on one domain and then applying them to another. When we do this, it can be beneficial to “generalize” or “adapt”