Neural Networks for Neutrinos

A new report outlines suggestions for federal investments needed for the next generation of transformative discoveries in particle physics and cosmology, including priority projects...

They’ll work on experiments that search for dark matter particles and exotic neutrino decays that could help explain why there’s more matter than antimatter...

Four complementary analyses by Fermilab’s MicroBooNE show no signs of a theorized fourth kind of neutrino known as the sterile neutrino. Its existence is...

Daniel Ratner, head of SLAC’s machine learning initiative, explains the lab’s unique opportunities to advance scientific discovery through machine learning.

A cheap technique could detect neutrinos in polar ice, eventually allowing researchers to expand the energy reach of IceCube without breaking the bank.

The complete data from the EXO-200 experiment provide new information on neutrinoless double beta decay and set the stage for future experiments that will...