Pilot study: Experimental nuclear physics - dataset metadata generator

This is a Django & React web application for the GSI Metadata Platform. It allows the generation of dataset metadata for fundamental physics - experimental nuclear physics at GSI Helmholtzzentrum für Schwerionenforschung GmbH. This acts a pilot study for the OSCARS Funded NAPMIX project. --

JUNO sensitivity to invisible decay modes of neutrons

We explore the decay of bound neutrons in the JUNO liquid scintillator detector into invisible particles (e.g., n → 3ν or nn → 2ν), which do not produce an observable signal. The invisible decay includes two decay modes: n → inv and nn → inv. The invisible decays of s shell neutrons in 12 C will leave a highly excited residual nucleus. Subsequently, some de-excitation modes of the excited residual nuclei can produce a time- and space-correlated triple coincidence signal in the JUNO detector. Based on a full Monte Carlo simulation informed with the latest available data, we estimate all backgrounds, including inverse beta decay events of the reactor antineutrino ν̄e , natural radioactivity, cosmogenic isotopes and neutral current interactions of atmospheric neutrinos. Pulse shape discrimination and multivariate analysis techniques are employed to further suppress backgrounds. With two years of exposure, JUNO is expected to give an order of magnitude improvement compared to the current best limits. After 10 years of data taking, the JUNO expectedsensitivities at a 90% confidence level are τ/B(n → inv) > 5.0 × 1031 years and τ/B(nn → inv) > 1.4 × 1032 years