- Open Access
Low-energy nuclear recoil calibration of XENONnT with a photoneutron source
Phys. Rev. D 113, 112017 – Published 29 June, 2026
DOI: https://doi.org/10.1103/rsl9-j1ky
Abstract
Characterizing low-energy, keV-range nuclear recoils near the detector threshold is one of the major challenges for large direct dark matter detectors. To that end, we have successfully used an Yttrium-Beryllium photoneutron source that emits 152 keV neutrons for the calibration of the light and charge yields of the XENONnT experiment for the first time. After data selection, we accumulated 474 events from 183 hours of exposure with this source. The expected background was accidental coincidence events, estimated using a dedicated 152 hour background calibration run with a Yttrium-PVC gamma-only source and data-driven modeling. From these calibrations, we extracted the light (charge) yield for liquid xenon at our field strength of between 0.3 (0.7) and . This calibration is crucial for accurately measuring the solar neutrino coherent elastic neutrino-nucleus scattering and searching for light dark matter particles with masses below .
Physics Subject Headings (PhySH)
Article Text
References (44)
- C. A. J. O’Hare, New definition of the neutrino floor for direct dark matter searches, Phys. Rev. Lett. 127, 251802 (2021).
- D. Z. Freedman, Coherent effects of a weak neutral current, Phys. Rev. D 9, 1389 (1974).
- V. B. Kopeliovich and L. L. Frankfurt, Isotopic and chiral structure of neutral current, JETP Lett. 19, 145 (1974).
- E. Aprile et al. (XENON Collaboration), First indication of solar neutrinos via coherent elastic neutrino-nucleus scattering with XENONnT, Phys. Rev. Lett. 133, 191002 (2024).
- Z. Bo et al. (PandaX Collaboration), First indication of solar B8 neutrinos through coherent elastic neutrino-nucleus scattering in PandaX-4T, Phys. Rev. Lett. 133, 191001 (2024).
- D. E. Kaplan, M. A. Luty, and K. M. Zurek, Asymmetric dark matter, Phys. Rev. D 79, 115016 (2009).
- S. Tulin and H.-B. Yu, Dark matter self-interactions and small scale structure, Phys. Rep. 730, 1 (2018).
- E. Aprile et al. (XENON Collaboration), First search for light dark matter in the neutrino fog with XENONnT, Phys. Rev. Lett. 134, 111802 (2025).
- E. Aprile et al. (XENON Collaboration), The XENONnT dark matter experiment, Eur. Phys. J. C 84, 784 (2024).
- E. Aprile et al. (XENON Collaboration), XENONnT analysis: Signal reconstruction, calibration and event selection, Phys. Rev. D 111, 062006 (2025).
- E. Aprile et al. (XENON Collaboration), XENONnT WIMP search: Signal & background modeling and statistical inference, Phys. Rev. D 111, 103040 (2025).
- J. I. Collar, Applications of an photo-neutron calibration source to dark matter and neutrino experiments, Phys. Rev. Lett. 110, 211101 (2013).
- A. E. Robinson, Reanalysis of radioisotope measurements of the cross-section, Phys. Rev. C 94, 024613 (2016).
- E. Aprile, A. E. Bolotnikov, A. I. Bolozdynya, and T. Doke, Noble Gas Detectors (Wiley-VCH Verlag, Weinheim, Germany, 2006), pp. 42–45.
- Hunter, Carter, and Christophorou, Low-energy electron drift and scattering in krypton and xenon, Phys. Rev. A 38 11, 5539 (1988).
- E. Aprile et al. (XENON Collaboration), First dark matter search with nuclear recoils from the XENONnT experiment, Phys. Rev. Lett. 131, 041003 (2023).
- J. Qin, Computational techniques for the direct detection of dark matter, Ph.D. thesis, Purdue University, 2023.
- J. Aalbers et al. (LZ Collaboration), The design, implementation, and performance of the LZ calibration systems, J. Instrum. 19, P08027 (2024).
- R. L. Workman et al. (Particle Data Group), Review of particle physics, Prog. Theor. Exp. Phys. 2022, 083C01 (2022).
- S. Agostinelli et al. (GEANT4 Collaboration), GEANT4–a simulation toolkit, Nucl. Instrum. Methods Phys. Res., Sect. A 506, 250 (2003).
- E. Aprile et al. (XENON Collaboration), Emission of single and few electrons in XENON1T and limits on light dark matter, Phys. Rev. D 106, 022001 (2022).
- D. Y. Akimov et al., Observation of delayed electron emission in a two-phase liquid xenon detector, J. Instrum. 11, C03007 (2016).
- N. F. Bell et al., Observing the Migdal effect from nuclear recoils of neutral particles with liquid xenon and argon detectors, Phys. Rev. D 105, 096015 (2022).
- K. Shibata et al., Jendl-4.0: A new library for nuclear science and engineering, J. Nucl. Sci. Technol. 48, 1 (2011).
- E. Aprile et al. (XENONnT Collaboration), Design and performance of the field cage for the XENONnT experiment, Eur. Phys. J. C 84, 138 (2024).
- XENON Collaboration, XENONnT/axidence: Strax- based data-driven accidental coincidence background simulation and peak-level salting (2024).
- T. Chen and C. Guestrin, XGBoost: A scalable tree boosting system, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’16 (ACM, New York, 2016), pp. 785–794.
- E. Aprile et al. (XENON Collaboration), Wfsim: The xenon waveform simulator, https://github.com/XENONnT/WFSim (2021).
- XENON Collaboration, XENONnT/appletree: A high-performance program simulates and fits response of xenon (2024).
- M. Szydagis et al., A review of nest models for liquid xenon and an exhaustive comparison with other approaches, arXiv:2211.10726.
- XENON Collaboration, XENONnT/saltax (2024).
- D. Wenz, H. S. Eißing, P. Kavrigin, J. R. Angevaare, A. Terliuk, K. Mizukoshi, P. Gaemers, and S. Shi, Xenonnt/epix: v0.3.4 (2023).
- Geant4 Collaboration, Guide for Physics Lists, Geant4 11.4 documentation (2022), https://geant4.web.cern.ch/documentation/dev/plg_html/PhysicsListGuide/index.html.
- D. Foreman-Mackey, D. W. Hogg, D. Lang, and J. Goodman, emcee: The MCMC hammer, Publ. Astron. Soc. Pac. 125, 306 (2013).
- D. Foreman-Mackey et al., emcee v3: A python ensemble sampling toolkit for affine-invariant MCMC, J. Open Source Software 4, 1864 (2019).
- S. Baker and R. D. Cousins, Clarification of the use of CHI square and likelihood functions in fits to histograms, Nucl. Instrum. Methods 221, 437 (1984).
- XENON Collaboration, XENONnT/gofevaluation (2024).
- B. Lenardo et al., Measurement of the ionization yield from nuclear recoils in liquid xenon between 0.3–6 keV with single-ionization-electron sensitivity, arXiv:1908.00518.
- D. S. Akerib et al. (LUX Collaboration), Low-energy (0.7–74 keV) nuclear recoil calibration of the LUX dark matter experiment using D-D neutron scattering kinematics, arXiv:1608.05381.
- D. S. Akerib et al. (LUX Collaboration), Improved dark matter search sensitivity resulting from LUX low-energy nuclear recoil calibration, Phys. Rev. Lett. 134, 061002 (2025).
- A. Manzur et al., Scintillation efficiency and ionization yield of liquid xenon for mono-energetic nuclear recoils down to 4 keV, Phys. Rev. C 81, 025808 (2010).
- G. Plante et al., New measurement of the scintillation efficiency of low-energy nuclear recoils in liquid xenon, Phys. Rev. C 84, 045805 (2011).
- B. Hamermesh, M. Hamermesh, and A. Wattenberg, The angular distribution of the photo-neutrons from beryllium, Phys. Rev. 76, 611 (1949).
- M. Szydagis, J. Balajthy, G. Block, J. Brodsky, J. Cutter, S. Farrell, J. Huang, E. Kozlova, B. Lenardo, A. Manalaysay, D. McKinsey, M. Mooney, J. Mueller, K. Ni, G. Rischbieter, M. Tripathi, C. Tunnell, V. Velan, and Z. Zhao, Noble element simulation technique (2022).