Compton step calibration feasibility study for SuperCDMS SNOLAB detectors

ORAL

Abstract

SuperCDMS SNOLAB will be a direct detection experiment with world-leading sensitivity for low-mass dark matter (DM) that employs cryogenic silicon and germanium calorimeters. The experimental infrastructure is expected to be commissioned in early 2024. Because of an expected non-linear energy response of SNOLAB detectors, a precise calibration over the entire energy range of DM models under investigation will be required. Insertable radioactive sources with known gamma lines and germanium activation lines constitute the primary calibration method for SuperCDMS detectors. One of the complementary methods proposed for silicon-based detectors is to make use of Compton steps providing two energy signatures at ∼0.1 keV and ∼2 keV which covers the energy range for sub-GeV DM searches. Compton step calibration is actively explored at test facilities running SuperCDMS silicon high-voltage, eV-scale (HVeV) prototype detectors. In this talk, we will present the status of the Compton step calibration performed on the HVeV detectors.

*The SuperCDMS collaboration gratefully acknowledges the TUNL facility and its staff. Funding and support were received from the National Science Foundation, the U.S. Department of Energy (DOE), Fermilab URA Visiting Scholar Grant No. 15-S-33, NSERC Canada, the Canada First Excellence Research Fund, the Arthur B. McDonald Institute (Canada), the Department of Atomic Energy Government of India (DAE), the Department of Science and Technology (DST, India) and the DFG (Germany) - Project No. 420484612 and under Germany's Excellence Strategy - EXC 2121 "Quantum Universe" – 390833306. Femilab is operated by Fermi Research Alliance, LLC, SLAC is operated by Stanford University, and PNNL is operated by the Battelle Memorial 345 Institute for the U.S. Department of Energy under contracts DE-AC02-37407CH11359, DE-AC02-76SF00515, and DE-AC05-76RL01830, respectively. This research was enabled in part by support provided by SciNet (www.scinethpc.ca) and Digital Research Alliance of Canada (www.allia

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Presenters

  • Ata Sattari

    • University of Toronto

Authors

  • Ata Sattari

    • University of Toronto