Ab initio calculations for DM-electron scattering rates: what level of theory is sufficient? A case study with silicon

ORAL

Abstract

As the search space for dark matter (DM) has shifted to sub-GeV DM candidate particles, increased attention has turned to solid state detectors built from quantum materials. While traditional solid state detector targets (e.g. Si or Ge) have been utilized in searches for dark matter for decades, more complex, anisotropic materials with narrow band gaps are promising for detecting sub-MeV dark matter through DM-electron scattering and absorption channels. Determining the DM-electron scattering rates in, and the sensitivity of detectors made of, these materials can be calculated from first principles with knowledge of the loss function, however the accuracy of these predictions is limited by the first-principles level of theory used to calculate the dielectric function.



Here, we show a case study on silicon to demonstrate how the expected sensitivity of such a detector varies with level of theory, using traditional Kohn-Sham density functional theory (DFT) calculations and incorporating self-energy corrections as implemented in the GW approximation. We compare results to other state-of-the-art codes and discuss implications for the DM field for detectors based on novel materials.

LA-UR-24-31339, PNNL-SA-205049

*This work was supported by the U.S. DOE NNSA under Contract No. 89233218CNA000001. E.A.P., C. L. and J.-X.Z. acknowledge support by the LANL LDRD Program through project number 20220135DR. S.L.W. acknowledges support from the LANL Director's Postdoctoral Fellowship award 20230782PRD1. This work was supported in part by the Center for Integrated Nanotechnologies, a DOE Office of Science user facility, in partnership with the LANL Institutional Computing Program for computational resources. Additional computations were performed at the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award ERCAP0020494.

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Publication: https://arxiv.org/abs/2310.00147

Presenters

  • Samuel Linton Watkins

    • Pacific Northwest National Laboratory (PNNL)

Authors

  • Samuel Linton Watkins

    • Pacific Northwest National Laboratory (PNNL)

  • Elizabeth Peterson

    • Los Alamos National Laboratory (LANL)

  • Christopher A Lane

    • Los Alamos National Lab
    • Los Alamos National Laboratory
    • Los Alamos National Laboratory (LANL)

  • Jian-Xin Zhu

    • Los Alamos National Laboratory (LANL)
    • Los Alamos National Laboratory