18-22 October 2021
Matsue, Shimane Prefecture, Japan
Asia/Tokyo timezone

AI in Spin Physics and the future of spin at Fermilab

22 Oct 2021, 07:00
Room 303-304 (Kunibiki Messe)

Room 303-304

Kunibiki Messe

Parallel Session Presentation Future facilities and experiments Future facilities and experiments


dustin keller (University of Virginia)


The use of the Fermilab main injector proton beam with an energy of 120 GeV and a 4.4-second spill every minute in combination with a polarized target provides a unique opportunity for future spin physics experiments. New technology in RF manipulated dynamically polarized (DNP) target systems rely on artificial intelligence to optimally configuration the target polarization state using the signal from continuous wave nuclear magnetic renounce (NMR). The target spins can be autonomously oriented in the time between spills allowing for the access of novel observables. Machine learning tools are advancing instrumentation potential as well as information extraction in Spin Physics. Some examples are provided, with a focus on possible future experiments at Fermilab.

Primary author

dustin keller (University of Virginia)

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