Sensitivity of seismically cued antineutrino detectors to nuclear explosions

TL;DR

This paper assesses the potential of large, gadolinium-doped water detectors, combined with seismic data, to detect antineutrinos from nuclear explosions, offering a possible method for rapid verification of nuclear tests.

Contribution

It demonstrates that with current technology, seismic cues can trigger antineutrino detection, enabling potential confirmation of nuclear fission events at significant distances.

Findings

Detection of 250-kiloton fission explosions is feasible within hundreds of kilometers.

Seismic data can effectively trigger antineutrino observations for nuclear test monitoring.

Detector size and cost remain limiting factors for practical deployment.

Abstract

We evaluate the sensitivity of large, gadolinium-doped water detectors to antineutrinos released by nuclear fission explosions, using updated signal and background models and taking advantage of the capacity for seismic observations to provide an analysis trigger. Under certain realistic conditions, the antineutrino signature of a 250-kiloton pure fission explosion could be identified several hundred kilometers away in a detector about the size of the largest module currently proposed for a basic physics experiment. In principle, such an observation could provide rapid confirmation that the seismic signal coincided with a fission event, possibly useful for international monitoring of nuclear weapon tests. We discuss the limited potential for seismically cued antineutrino observations to constrain fission yield, differentiate pure fission from fusion-enhanced weapon tests, indicate that the seismic evidence of an explosion had been intentionally masked, or verify the absence of explosive testing in a targeted area. We conclude that advances in seismic monitoring and neutrino physics have made the detection of explosion-derived antineutrinos more conceivable than previously asserted, but the size and cost of sufficiently sensitive detectors continue to limit applications.