PoS - Proceedings of Science
Volume 414 - 41st International Conference on High Energy physics (ICHEP2022) - Poster Session
First direct detection constraints on Planck-scale mass dark matter in DEAP-3600
M. Lai*  on behalf of the DEAP-3600 collaboration
Full text: pdf
Pre-published on: November 29, 2022
Published on: June 15, 2023
Several astrophysical observations suggest that about 27 \% of all the energy in the Universe is due to a non-luminous, non-relativistic kind of matter, the "dark matter". Among all the possible models that can fulfill the observed abundance, one of the most promising are Weakly Interacting Particles (WIMPs), thermal relics with masses below 100 TeV. Despite the high number of attempts during the last two decades to directly detect WIMPs, no confirmed discovery has been made. Hence, the interest in other dark matter candidates has recently increased, even motivating the search for super-massive dark matter candidates. These dark matter candidates might have been produced non-thermally, as
radiation from primordial black holes, decay products of the inflaton, or as products of a dark sector with an extended thermal production mechanism.
DEAP-3600, with a target of 3.3 tonnes of liquid argon, is the largest running direct detection experiment in terms of size. Though it is designed for the WIMP search, it is also sensitive to candidates with masses from 10$^7$ GeV to 10$^{19}$ GeV. Due to the high cross-section and the large area of the detector, the expected signal is a track of collinear nuclear recoils, different from both WIMPs and most of the backgrounds. This motivated the development of a custom analysis, looking for a multi-scattering dark matter signature. Thanks to the quality of the selection cuts, four different Regions of Interest have been defined, each with a background level of much less than one event in three years of data taking. After the unblinding, no events were found; consequently, world-leading constraints on two composite dark matter models, up to Planck-scale masses.
DOI: https://doi.org/10.22323/1.414.0947
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