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  • Letter
  • Open Access

Extending the dark matter reach of water Cherenkov detectors using Jupiter

Sandra Robles*

Stephan A. Meighen-Berger†

  • *Contact author: srobles@fnal.gov
  • †Contact author: stephan.meighenberger@unimelb.edu.au

Phys. Rev. D 112, L041301 – Published 25 August, 2025

DOI: https://doi.org/10.1103/4s1l-c63r

Abstract

We propose the first method for water Cherenkov detectors to constrain GeV-scale dark matter (DM) below the solar evaporation mass. While previous efforts have highlighted the Sun and Earth as DM capture targets, we demonstrate that Jupiter is a viable target. Jupiter’s unique characteristics, such as its lower core temperature and significant gravitational potential, allow it to capture and retain light DM more effectively than the Sun, particularly in the mass range below 4 GeV where direct detection sensitivity diminishes. Our calculations provide the first sensitivity estimates to GeV-scale annihilating DM within Jupiter, predicting Hyper-K can reach spin dependent cross sections as low as σpχSD=2×10−35  cm2 for DM masses below 2 GeV. This surpasses current solar limits and direct detection results. We additionally provide estimates for Super-K ORCA, and the IceCube-Upgrade, showing that these experiments could provide complimentary bounds to direct detection experiments.

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References (91)

  1. E. Behnke et al., Final results of the PICASSO dark matter search experiment, Astropart. Phys. 90, 85 (2017).
  2. C. Amole et al. (PICO Collaboration), Dark matter search results from the complete exposure of the PICO-60 C3F8 bubble chamber, Phys. Rev. D 100, 022001 (2019).
  3. E. Aprile et al. (XENON Collaboration), Light dark matter search with ionization signals in XENON1T, Phys. Rev. Lett. 123, 251801 (2019).
  4. E. Aprile et al. (XENON Collaboration), Search for light dark matter interactions enhanced by the Migdal effect or bremsstrahlung in XENON1T, Phys. Rev. Lett. 123, 241803 (2019).
  5. E. Aprile et al. (XENON Collaboration), Search for coherent elastic scattering of solar B8 neutrinos in the XENON1T dark matter experiment, Phys. Rev. Lett. 126, 091301 (2021).
  6. C. Fu et al. (PandaX-II Collaboration), Spin-dependent weakly-interacting-massive-particle–nucleon cross section limits from first data of PandaX-II experiment, Phys. Rev. Lett. 118, 071301 (2017); 120, 049902(E) (2018).
  7. Y. Meng et al. (PandaX-4T Collaboration), Dark matter search results from the PandaX-4T commissioning run, Phys. Rev. Lett. 127, 261802 (2021).
  8. J. Aalbers et al. (LUX-ZEPLIN Collaboration), First dark matter search results from the LUX-ZEPLIN (LZ) experiment, Phys. Rev. Lett. 131, 041002 (2023).
  9. G. Angloher et al. (CRESST Collaboration), Testing spin-dependent dark matter interactions with lithium aluminate targets in CRESST-III, Phys. Rev. D 106, 092008 (2022).
  10. D. H. Lee et al., COSINE-100U: Upgrading the COSINE-100 experiment for enhanced sensitivity to low-mass dark matter detection, Commun. Phys. 8, 135 (2025).
  11. J. Aalbers et al. (LZ Collaboration), Dark matter search results from 4.2 Tonne-years of exposure of the LUX-ZEPLIN (LZ) experiment, Phys. Rev. Lett. 135, 011802 (2025).
  12. M. M. Arora et al. (NEWS-G Collaboration), Search for light dark matter with NEWS-G at the LSM using a methane target, Phys. Rev. Lett. 134, 141002 (2025).
  13. G. H. Yu et al. (COSINE-100 Collaboration), Limits on WIMP dark matter with NaI(Tl) crystals in three years of COSINE-100 data, arXiv:2501.13665.
  14. D. N. Spergel and W. H. Press, Effect of hypothetical, weakly interacting, massive particles on energy transport in the solar interior, Astrophys. J. 294, 663 (1985).
  15. W. H. Press and D. N. Spergel, Capture by the sun of a galactic population of weakly interacting, massive particles, Astrophys. J. 296, 679 (1985).
  16. A. Gould, Resonant enhancements in weakly interacting massive particle capture by the Earth, Astrophys. J. 321, 571 (1987).
  17. A. Gould, Weakly interacting massive particle distribution in and evaporation from the Sun, Astrophys. J. 321, 560 (1987).
  18. J. Faulkner and R. L. Gilliland, Weakly interacting, massive particles and the solar neutrino flux, Astrophys. J. 299, 994 (1985).
  19. J. Silk, K. A. Olive, and M. Srednicki, The photino, the sun and high-energy neutrinos, Phys. Rev. Lett. 55, 257 (1985).
  20. S. Desai et al. (Super-Kamiokande Collaboration), Search for dark matter WIMPs using upward through-going muons in Super-Kamiokande, Phys. Rev. D 70, 083523 (2004); 70, 109901(E) (2004).
  21. T. Tanaka et al. (Super-Kamiokande Collaboration), An indirect search for WIMPs in the Sun using 3109.6 days of upward-going muons in Super-Kamiokande, Astrophys. J. 742, 78 (2011).
  22. K. Choi et al. (Super-Kamiokande Collaboration), Search for neutrinos from annihilation of captured low-mass dark matter particles in the Sun by Super-Kamiokande, Phys. Rev. Lett. 114, 141301 (2015).
  23. S. Adrian-Martinez et al. (ANTARES Collaboration), Limits on dark matter annihilation in the Sun using the ANTARES neutrino telescope, Phys. Lett. B 759, 69 (2016).
  24. M. G. Aartsen et al. (IceCube Collaboration), Search for annihilating dark matter in the Sun with 3 years of IceCube data, Eur. Phys. J. C 77, 146 (2017); 79, 214(E) (2019).
  25. R. Abbasi et al. (IceCube Collaboration), Search for GeV-scale dark matter annihilation in the Sun with IceCube DeepCore, Phys. Rev. D 105, 062004 (2022).
  26. A. Gupta, D. Majumdar, and A. Halder, KM3NeT upper bounds of detection rates of solar neutrinos from annihilations of dark matter at the solar core, Mod. Phys. Lett. A 37, 2250233 (2022).
  27. G. Renzi and J. A. Aguilar (IceCube Collaboration), Search for dark matter annihilations in the center of the Earth with IceCube, PoS 444, 1393 (2023).
  28. N. F. Bell, M. J. Dolan, and S. Robles, Searching for dark matter in the Sun using Hyper-Kamiokande, J. Cosmol. Astropart. Phys. 11 (2021) 004.
  29. S. Okawa and Y. Omura, Light mass window of lepton portal dark matter, J. High Energy Phys. 02 (2021) 231.
  30. S. Iguro, S. Okawa, and Y. Omura, Light lepton portal dark matter meets the LHC, J. High Energy Phys. 03 (2023) 010.
  31. G. Busoni, A. De Simone, and W.-C. Huang, On the minimum dark matter mass testable by neutrinos from the Sun, J. Cosmol. Astropart. Phys. 07 (2013) 010.
  32. K. Griest and D. Seckel, Cosmic asymmetry, neutrinos and the Sun, Nucl. Phys. B283, 681 (1987); B296, 1034(E) (1988).
  33. D. Hooper, F. Petriello, K. M. Zurek, and M. Kamionkowski, The new DAMA dark-matter window and energetic-neutrino searches, Phys. Rev. D 79, 015010 (2009).
  34. R. K. Leane and T. Linden, First analysis of Jupiter in gamma rays and a new search for dark matter, Phys. Rev. Lett. 131, 071001 (2023).
  35. G. M. French and M. Sher, Monoenergetic neutrinos from WIMP annihilation in Jupiter, Phys. Rev. D 106, 115037 (2022).
  36. C. Blanco and R. K. Leane, Search for dark matter ionization on the night side of Jupiter with Cassini, Phys. Rev. Lett. 132, 261002 (2024).
  37. S. Ansarifard and Y. Farzan, Jovian signal at BOREXINO, Phys. Rev. D 110, 063002 (2024).
  38. C. Blanco, R. K. Leane, M. Moore, and J. Tong, Search for dark matter induced airglow in planetary atmospheres, arXiv:2408.15318.
  39. R. Garani and S. Palomares-Ruiz, Evaporation of dark matter from celestial bodies, J. Cosmol. Astropart. Phys. 05 (2022) 042.
  40. M. Kawasaki, H. Murayama, and T. Yanagida, Can the strongly interacting dark matter be a heating source of Jupiter?, Prog. Theor. Phys. 87, 685 (1992).
  41. G. D. Mack, J. F. Beacom, and G. Bertone, Towards closing the window on strongly interacting dark matter: Far-reaching constraints from Earth’s heat flow, Phys. Rev. D 76, 043523 (2007).
  42. S. L. Adler, Planet-bound dark matter and the internal heat of Uranus, Neptune, and hot-Jupiter exoplanets, Phys. Lett. B 671, 203 (2009).
  43. L. Li and J. Fan, Jupiter missions as probes of dark matter, J. High Energy Phys. 10 (2022) 186.
  44. Y. Fukuda et al. (Super-Kamiokande Collaboration), The Super-Kamiokande detector, Nucl. Instrum. Methods Phys. Res., Sect. A 501, 418 (2003).
  45. K. Abe et al. (Hyper-Kamiokande Collaboration), Hyper-Kamiokande design report, arXiv:1805.04163.
  46. J. Bian et al. (Hyper-Kamiokande Collaboration), Hyper-Kamiokande experiment: A snowmass white paper, in Snowmass 2021 (2022).
  47. S. Adrian-Martinez et al. (KM3Net Collaboration), Letter of intent for KM3NeT 2.0, J. Phys. G 43, 084001 (2016).
  48. A. Ishihara (IceCube Collaboration), The IceCube upgrade—Design and science goals, Proc. Sci. ICRC2019 (2021) 1031 [arXiv:1908.09441].
  49. D. Hooper and G. D. Kribs, Probing Kaluza-Klein dark matter with neutrino telescopes, Phys. Rev. D 67, 055003 (2003).
  50. M. Lindner, A. Merle, and V. Niro, Enhancing dark matter annihilation into neutrinos, Phys. Rev. D 82, 123529 (2010).
  51. Y. Farzan, Flavoring monochromatic neutrino flux from dark matter annihilation, J. High Energy Phys. 02 (2012) 091.
  52. S. Adrian-Martinez et al. (ANTARES Collaboration), Limits on dark matter annihilation in the Sun using the ANTARES neutrino telescope, Phys. Lett. B 759, 69 (2016).
  53. M. G. Aartsen et al. (IceCube Collaboration), Search for annihilating dark matter in the Sun with 3 years of IceCube data, Eur. Phys. J. C 77, 146 (2017); 79, 214(E) (2019).
  54. N. Nettelmann, A. Becker, B. Holst, and R. Redmer, Jupiter models with improved Ab Initio hydrogen equation of state (H-REOS.2), Astrophys. J. 750, 52 (2012).
  55. R. K. Leane and J. Smirnov, Dark matter capture in celestial objects: Treatment across kinematic and interaction regimes, J. Cosmol. Astropart. Phys. 12 (2023) 040.
  56. R. Garani and S. Palomares-Ruiz, Dark matter in the Sun: Scattering off electrons vs nucleons, J. Cosmol. Astropart. Phys. 05 (2017) 007.
  57. G. Busoni, A. De Simone, P. Scott, and A. C. Vincent, Evaporation and scattering of momentum- and velocity-dependent dark matter in the Sun, J. Cosmol. Astropart. Phys. 10 (2017) 037.
  58. B. Zhou and J. F. Beacom, First detailed calculation of atmospheric neutrino foregrounds to the diffuse supernova neutrino background in Super-Kamiokande, Phys. Rev. D 109, 103003 (2024).
  59. A. Abusleme et al. (JUNO Collaboration), JUNO physics and detector, Prog. Part. Nucl. Phys. 123, 103927 (2022).
  60. R. Acciarri et al. (DUNE Collaboration), Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE): Conceptual design report, Volume 2: The physics program for DUNE at LBNF, arXiv:1512.06148.
  61. B. Abi et al. (DUNE Collaboration), Deep Underground Neutrino Experiment (DUNE), Far detector technical design report, Volume II: DUNE physics, arXiv:2002.03005.
  62. Y. Ashie et al. (Super-Kamiokande Collaboration), A measurement of atmospheric neutrino oscillation parameters by SUPER-KAMIOKANDE I, Phys. Rev. D 71, 112005 (2005).
  63. E. Richard et al. (Super-Kamiokande Collaboration), Measurements of the atmospheric neutrino flux by Super-Kamiokande: Energy spectra, geomagnetic effects, and solar modulation, Phys. Rev. D 94, 052001 (2016).
  64. M. Shiozawa (Super-Kamiokande Collaboration), Reconstruction algorithms in the Super-Kamiokande large water Cherenkov detector, Nucl. Instrum. Methods Phys. Res., Sect. A 433, 240 (1999).
  65. E. Drakopoulou, G. A. Cowan, M. D. Needham, S. Playfer, and M. Taani, Application of machine learning techniques to lepton energy reconstruction in water Cherenkov detectors, J. Instrum. 13, P04009 (2018).
  66. M. Jiang et al. (Super-Kamiokande Collaboration), Atmospheric neutrino oscillation analysis with improved event reconstruction in Super-Kamiokande IV, Prog. Theor. Exp. Phys. 2019, 053F01 (2019).
  67. M. Honda, T. Kajita, K. Kasahara, and S. Midorikawa, Improvement of low energy atmospheric neutrino flux calculation using the JAM nuclear interaction model, Phys. Rev. D 83, 123001 (2011).
  68. C. Andreopoulos et al., The GENIE neutrino Monte Carlo fenerator, Nucl. Instrum. Methods Phys. Res., Sect. A 614, 87 (2010).
  69. C. Andreopoulos, C. Barry, S. Dytman, H. Gallagher, T. Golan, R. Hatcher, G. Perdue, and J. Yarba, The GENIE neutrino Monte Carlo generator: Physics and user manual, arXiv:1510.05494.
  70. J. Tena-Vidal et al. (GENIE Collaboration), Neutrino-nucleon cross-section model tuning in GENIE v3, Phys. Rev. D 104, 072009 (2021).
  71. Q. Liu, J. Lazar, C. A. Argüelles, and A. Kheirandish, χaroν: A tool for neutrino flux generation from WIMPs, J. Cosmol. Astropart. Phys. 10 (2020) 043.
  72. G. J. Feldman and R. D. Cousins, A unified approach to the classical statistical analysis of small signals, Phys. Rev. D 57, 3873 (1998).
  73. S. Aiello et al. (KM3NeT Collaboration), Event reconstruction for KM3NeT/ORCA using convolutional neural networks, J. Instrum. 15, P10005 (2020).
  74. F. Benfenati, F. Filippini, and T. Chiarusi (KM3NeT Collaboration), First scientific results of the KM3NeT neutrino telescope, EPJ Web Conf. 283, 04009 (2023).
  75. S. Galatà (KM3NeT Collaboration), Reconstruction of track-type neutrino events in KM3NeT/ORCA, Proc. Sci. ICRC2015 (2016) 1102.
  76. L. A. Fusco (KM3Net Collaboration), Rejection of atmospheric muons in KM3NeT/ORCA, Proc. Sci. ICRC2015 (2016) 1072.
  77. S. Aiello et al. (KM3NeT Collaboration), Probing invisible neutrino decay with the first six detection units of KM3NeT/ORCA, J. High Energy Phys. 04 (2025) 105.
  78. M. G. Aartsen et al. (IceCube Collaboration), Measurement of the atmospheric νe flux in IceCube, Phys. Rev. Lett. 110, 151105 (2013).
  79. IceCube Collaboration, Evidence for high-energy extraterrestrial neutrinos at the IceCube detector, Science 342, 1242856 (2013).
  80. R. Abbasi et al. (IceCube Collaboration), Characterization of the astrophysical diffuse neutrino flux using starting track events in IceCube, Phys. Rev. D 110, 022001 (2024).
  81. D. Guderian, Development of detector calibration and graph neural network-based selection and reconstruction algorithms for the measurement of oscillation parameters with KM3NeT/ORCA, Ph.D. thesis, University of Munster, 2022.
  82. R. Abbasi et al., Graph neural networks for low-energy event classification & reconstruction in IceCube, J. Instrum. 17, P11003 (2022).
  83. A. Søgaard et al., GraphNeT: Graph neural networks for neutrino telescope event reconstruction, J. Open Source Software 8, 4971 (2023).
  84. S. Peña Martínez (KM3NeT Collaboration), Deep neural networks for combined neutrino energy estimate with KM3NeT/ORCA6, Proc. Sci. ICRC2023 (2023) 1035.
  85. S. Baur (IceCube Collaboration), Dark matter searches with the IceCube upgrade, Proc. Sci. ICRC2019 (2020) 506 [arXiv:1908.08236].
  86. A. Gould, Big bang archeology: WIMP capture by the Earth at finite optical depth, Astrophys. J. 387, 21 (1992).
  87. H. Hong and A. C. Vincent, Dark matter limits from the tip of the red giant branch of globular clusters, Phys. Rev. D 110, 103011 (2024).
  88. A. Gould, Evaporation of WIMPs with arbitrary cross sections, Astrophys. J. 356, 302 (1990).
  89. A. Bottino, G. Fiorentini, N. Fornengo, B. Ricci, S. Scopel, and F. L. Villante, Does solar physics provide constraints to weakly interacting massive particles?, Phys. Rev. D 66, 053005 (2002).
  90. P. Scott, M. Fairbairn, and J. Edsjo, Dark stars at the Galactic centre - the main sequence, Mon. Not. R. Astron. Soc. 394, 82 (2009).
  91. H. Banks, S. Ansari, A. C. Vincent, and P. Scott, Simulation of energy transport by dark matter scattering in stars, J. Cosmol. Astropart. Phys. 04 (2022) 002.

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