Aug 5 – 10, 2019
Westin Harbour Castle, Toronto Canada
America/Toronto timezone

Efficient Neutrino Oscillation Parameter Inference with Gaussian Processes

Aug 8, 2019, 10:30 AM
Harbour Ballroom (Westin Harbour Castle, Toronto Canada)

Harbour Ballroom

Westin Harbour Castle, Toronto Canada

1 Harbour Square, Toronto, Ontario, Canada
Poster submission Neutrino Oscillations and Masses Poster Session (Thu/Fri)


Jianming Bian (University of California Irvine (US))


Neutrino oscillation is so far the only experimental observation beyond the standard model. Many experiments have been set-up to measure the parameters governing the oscillation probabilities. Feldman-Cousins method is a unified approach to create frequentist confidence intervals near physical limits or with low statistics. It is broadly used in neutrino oscillation parameter extraction. However, the Feldman-Cousins method is very computationally expensive, on the order of tens of millions of CPU hours. In this work, we propose an iterative method using Gaussian Process to efficiently estimate a frequentist confidence contour for the neutrino oscillation parameters and show that it produces the same results at a small fraction of the computation cost of the standard Feldman-Cousins method.

Primary author

Jianming Bian (University of California Irvine (US))

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