Detecting light dark matter with prompt-delayed events in neutrino experiments

Abstract We demonstrate that the prompt-delayed signals induced by knockout neutrons from quasi-elastic scattering in liquid scintillator neutrino experiments provide a new avenue for detecting light dark matter. As an illustration, we consider the detection of atmospheric dark matter, showing that the constraint on the DM-nucleon interaction from KamLAND is approximately one order of magnitude more stringent than those derived from elastic nuclear recoil signals in dark matter direct detection experiments. Furthermore, larger-volume neutrino detectors such as JUNO are expected to further enhance the sensitivity to light dark matter through quasi-elastic scattering.

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Publication Details

Journal
Journal of Cosmology and Astroparticle Physics
Published
2026-09-01
DOI
https://doi.org/10.1088/1475-7516/2026/09/014
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Detecting light dark matter with prompt-delayed events in neutrino experiments

Lei Wu
Journal of Cosmology and Astroparticle Physics
Dark Matter and Cosmic Phenomena
article

Detecting light dark matter with prompt-delayed events in neutrino experiments

Lei Wu
article en

Abstract

Abstract We demonstrate that the prompt-delayed signals induced by knockout neutrons from quasi-elastic scattering in liquid scintillator neutrino experiments provide a new avenue for detecting light dark matter. As an illustration, we consider the detection of atmospheric dark matter, showing that the constraint on the DM-nucleon interaction from KamLAND is approximately one order of magnitude more stringent than those derived from elastic nuclear recoil signals in dark matter direct detection experiments. Furthermore, larger-volume neutrino detectors such as JUNO are expected to further enhance the sensitivity to light dark matter through quasi-elastic scattering.

Journal of Cosmology and Astroparticle PhysicsVol. 2026(09)
Nanjing Normal University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Dark Matter and Cosmic Phenomena
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