Publications by authors named "W M Bonivento"

We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A dataset of proton-proton collisions at sqrt[s]=13.6  TeV collected by SND@LHC in 2022 is used, corresponding to an integrated luminosity of 36.

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Article Synopsis
  • - The DarkSide-50 experiment searched for dark matter particles with masses below 1 GeV/c² that interact to produce electrons using a substantial exposure of low-radioactivity liquid argon.
  • - They analyzed the ionization signals to rule out certain interactions between dark matter and electrons, providing new limits on various parameters like the dark matter-electron cross section and other coupling constants.
  • - This study also established the first direct-detection constraints for keV/c² sterile neutrinos, particularly focusing on the mixing angle related to these particles.
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Dark matter elastic scattering off nuclei can result in the excitation and ionization of the recoiling atom through the so-called Migdal effect. The energy deposition from the ionization electron adds to the energy deposited by the recoiling nuclear system and allows for the detection of interactions of sub-GeV/c^{2} mass dark matter. We present new constraints for sub-GeV/c^{2} dark matter using the dual-phase liquid argon time projection chamber of the DarkSide-50 experiment with an exposure of (12 306±184)  kg d.

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Dark matter with Planck-scale mass (≃10^{19}  GeV/c^{2}) arises in well-motivated theories and could be produced by several cosmological mechanisms. A search for multiscatter signals from supermassive dark matter was performed with a blind analysis of data collected over a 813 d live time with DEAP-3600, a 3.3 t single-phase liquid argon-based detector at SNOLAB.

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The DEAP-3600 detector searches for the scintillation signal from dark matter particles scattering on a 3.3 tonne liquid argon target. The largest background comes from beta decays and is suppressed using pulse-shape discrimination (PSD).

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