English

Setting limits on blazar-boosted dark matter with xenon-based detectors

High Energy Astrophysical Phenomena 2026-01-05 v3 High Energy Physics - Experiment Data Analysis, Statistics and Probability

Abstract

Dual-phase xenon time projection chambers achieve optimal sensitivity for dark matter in the 10 to 1000 GeV/c2^2 mass range, but sub-GeV dark matter particles lack sufficient energy to produce nuclear recoils above detection thresholds in these detectors. Blazar-boosted dark matter offers a way to overcome this limitation. Relativistic jets in active galactic nuclei can accelerate light dark matter in their host-galaxy halos to energies that can leave detectable nuclear recoil signals in xenon-based detectors on Earth. We present the first blazar-boosted dark matter search that incorporates detector response modeling, using public data from XENON1T and LZ for the blazar TXS 0506+056. We model dark matter-proton scattering in the jet environment, covering the full process from jet acceleration through to detector response, and we explore how the host-galaxy dark matter density profile impacts the analysis. We set model-dependent exclusion regions on the dark-matter-nucleon scattering cross section for mχ_{\chi} approximately 1 MeV dark matter, between 5.8×1031\times 10^{-31} cm2^2 and 6.3×1029\times 10^{-29}cm2^2 using XENON1T data, and between 9.9×1032\times 10^{-32} cm2^2 and 2.5×1028\times 10^{-28} cm2^2 from LZ effective field theory (EFT) dark matter searches. Our results show that astrophysical uncertainties, especially those in the dark-matter distribution near the supermassive black hole, are the main limitation of this search rather than detector effects. The limits are therefore model-dependent and should be seen as exploratory, highlighting both the potential and the present uncertainties of blazar-boosted dark matter as a probe of light dark matter.

Keywords

Cite

@article{arxiv.2509.07265,
  title  = {Setting limits on blazar-boosted dark matter with xenon-based detectors},
  author = {Erin Barillier and Laura Manenti and Knut Mora and Paolo Padovani and Isaac Sarnoff and Yongheng Xu and Bjorn Penning and Francesco Arneodo},
  journal= {arXiv preprint arXiv:2509.07265},
  year   = {2026}
}
R2 v1 2026-07-01T05:27:32.932Z