A step toward resolving the reactor antineutrino anomaly
The Daya Bay Reactor Neutrino Experiment, which ran from 2012 to 2020, detected electron antineutrinos from the commercial nuclear fission reactors at the Daya Bay Nuclear Power Plant complex in Guangdong, China.
Roy Kaltschmidt/Berkeley Lab
It’s no coincidence that some of the world’s leading neutrino-detection experiments are located in the vicinity of nuclear power plants. Hundreds of the fission products of nuclear-fuel isotopes such as uranium-235 and plutonium-239 undergo beta decay and release enormous amounts of both electrons and electron antineutrinos. More than a decade ago, researchers including Alain Letourneau of the French Alternative Energies and Atomic Energy Commission noticed that multiple experiments had reported fewer electron-antineutrino detections than expected from the nearby reactors.
A precise measurement in 2016 by the Daya Bay collaboration in China confirmed a roughly 6% overall shortfall in detections and introduced another puzzle: a surplus of antineutrinos in the 4–6 MeV energy range (see Physics Today, May 2016, page 16
An important clue toward resolving the anomaly came in 2017, when Daya Bay researchers reported that the antineutrino flux changed along with the relative amounts of 235U and 239Pu in the nearby reactors’ fuel supplies (see “As nuclear fuel ages, an antineutrino anomaly changes,” Physics Today online, 10 May 2017
The team’s predictions for antineutrino flux largely mirror those of the leading model. But the spectra forecasted by the new model better match the experimental findings of Daya Bay and others, including the overall antineutrino flux and the bump at around 5 MeV. As for isotopes, the old and new models are in good agreement for species such as 239Pu but not for 235U. The researchers conclude that the neutrino-physics community should work to replace the 40-year-old spectral measurements of 235U and other isotopes that are currently used to inform theory with newer, more precise ones. Eliminating subtle systematic errors that were present in previous data, they say, could be the ticket to eliminating the anomaly. Working toward that goal, Letourneau and another team reported fresh measurements
More about the Authors
Andrew Grant. agrant@aip.org