Research from University of Hawaii at Manoa Broadens Understanding of Machine Le arning (Machine Learning for New Physics Searches in B -> K*0 + - Decays)
Research from University of Hawaii at Manoa Broadens Understanding of Machine Le arning (Machine Learning for New Physics Searches in B -> K*0 + - Decays)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from the Uni versity of Hawaii at Manoa by NewsRx editors, the research stated, “We report th e status of a neural network regression model trained to extract new physics (NP ) parameters in Monte Carlo (MC) simulation data.” The news journalists obtained a quote from the research from University of Hawai i at Manoa: “We utilize a new EvtGen NP MC generator to generate B -> K*0+- events according to the deviation of the Wilson Coefficient C9 from its S M value, dC9. We train a three-dimensional ResNet regression model, using images built from the angular observables and the invariant mass of the di-muon system , to extract values of d C9 directly from the MC data samples.”
Key words
University of Hawaii at Manoa/Cyborgs/Emerging Technologies/Machine Learning
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