Journal article
Dark matter EFT landscape probed by QUEST-DMC
- Abstract:
- We present the projected sensitivity to non-relativistic Effective Field Theory (EFT) operators for dark matter (DM) direct detection using the QUEST-DMC experiment. QUEST-DMC employs superfluid Helium-3 as a target medium and measures energy deposition via nanomechanical resonators with SQUID-based readout to probe DM interactions. The experiment aims to explore new parameter space in the sub-GeV mass range, probing light DM and a broad range of interaction models. We analyse the sensitivity to a complete set of fourteen independent non-relativistic EFT operators, each parameterised by a Wilson coefficient that quantifies the strength of DM interactions with Standard Model particles. For each interaction channel, we determine the corresponding sensitivity ceiling due to attenuation of the DM flux incident on the detector, caused by DM scattering in the Earth and atmosphere. As a key component of this analysis, we provide the mapping between the non-relativistic EFT operators and the relativistic bilinear DM-nucleon interactions, and assess the interaction sensitivity to sub-GeV DM in the QUEST-DMC detector. Our findings demonstrate that QUEST-DMC provides a unique probe of DM interactions, particularly in previously unexplored parameter space for momentum- and velocity-dependent interactions, thereby expanding the search for viable DM candidates beyond traditional weakly interacting massive particles.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1088/1475-7516/2025/10/044
Authors
+ Science and Technology Facilities Council
More from this funder
- Funder identifier:
- https://ror.org/057g20z61
- Grant:
- ST/Y004434/1
- R11293
- Publisher:
- IOP Publishing
- Journal:
- Journal of Cosmology and Astroparticle Physics More from this journal
- Volume:
- 2025
- Issue:
- 10
- Article number:
- 044
- Publication date:
- 2025-10-10
- Acceptance date:
- 2025-09-11
- DOI:
- EISSN:
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1475-7516
- ISSN:
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1475-7516
- Language:
-
English
- Pubs id:
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2310292
- UUID:
-
uuid_002386f0-f4b5-4b52-a981-beff0531b369
- Local pid:
-
pubs:2310292
- Source identifiers:
-
W4415062409
- Deposit date:
-
2025-12-18
- ARK identifier:
Terms of use
- Copyright holder:
- IOP Publishing Ltd and Sissa Medialab
- Copyright date:
- 2025
- Rights statement:
- © 2025 IOP Publishing Ltd and Sissa Medialab. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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