Solid-State Nuclear Magnetic Resonance Search for Axion-like Dark Matter with Broadband SQUID Magnetometry

We report the results of an experimental search for ultralight axion-like dark matter in the mass ranges 18.9–20.6 and 21.6–21.9 neV. The Cosmic Axion Spin Precession Experiment-electric probes the axion-nuclear electric dipole moment coupling. We perform solid-state nuclear magnetic resonance on 207Pb spin ensembles which reside in a polarized ferroelectric crystal. The background axion-like dark matter field induces an oscillating torque on the 207Pb spins via the electric dipole moment coupling gd. The experiment is calibrated with pulsed magnetic resonance measurements covering two frequency bands (4.57–4.97 and 5.23–5.29 MHz) that correspond to the axion Compton frequencies associated with the identified axion mass ranges. By sweeping the leading magnetic field applied to the sample, we are able to detect the 207Pb nuclear magnetic resonance in these frequency ranges using a superconducting quantum interference device, inductively coupled to the sample with a broadband circuit. We establish the upper bounds |gd|<4×10−4 GeV−2 with 95% confidence in these frequency bands. Our results demonstrate the detection and small-tip angle calibration of low-field 207Pb nuclear magnetic resonance, allowing for sensitivity to axion-like dark matter in the nanoelectron-volt axion mass range.

Authors

Institutions

Publication Details

Journal
Universe
Published
2026-10-29
DOI
https://doi.org/10.3390/universe12110327
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solid-State Nuclear Magnetic Resonance Search for Axion-like Dark Matter with Broadband SQUID Magnetometry

János Ádám, Dmitry Budker, Deniz Aybas, Derek F. Jackson Kimball et al.
1 links
Universe
Dark Matter and Cosmic Phenomena
article

Solid-State Nuclear Magnetic Resonance Search for Axion-like Dark Matter with Broadband SQUID Magnetometry

János Ádám, Dmitry Budker, Deniz Aybas, Derek F. Jackson Kimball, Andrew J. Winter, Alexander O. Sushkov, Arne Wickenbrock, Surjeet Rajendran
article en

Abstract

We report the results of an experimental search for ultralight axion-like dark matter in the mass ranges 18.9–20.6 and 21.6–21.9 neV. The Cosmic Axion Spin Precession Experiment-electric probes the axion-nuclear electric dipole moment coupling. We perform solid-state nuclear magnetic resonance on 207Pb spin ensembles which reside in a polarized ferroelectric crystal. The background axion-like dark matter field induces an oscillating torque on the 207Pb spins via the electric dipole moment coupling gd. The experiment is calibrated with pulsed magnetic resonance measurements covering two frequency bands (4.57–4.97 and 5.23–5.29 MHz) that correspond to the axion Compton frequencies associated with the identified axion mass ranges. By sweeping the leading magnetic field applied to the sample, we are able to detect the 207Pb nuclear magnetic resonance in these frequency ranges using a superconducting quantum interference device, inductively coupled to the sample with a broadband circuit. We establish the upper bounds |gd|<4×10−4 GeV−2 with 95% confidence in these frequency bands. Our results demonstrate the detection and small-tip angle calibration of low-field 207Pb nuclear magnetic resonance, allowing for sensitivity to axion-like dark matter in the nanoelectron-volt axion mass range.

UniverseVol. 12(11)
Boston University (US), Johns Hopkins University (US), Bilkent University (TR), GSI Helmholtz Centre for Heavy Ion Research (DE), California State University, East Bay (US), Johannes Gutenberg University Mainz (DE), Helmholtz Institute Mainz (DE), University of California, Berkeley (US)
National Science Foundation, U.S. Department of Energy, Gordon and Betty Moore Foundation, European Cooperation in Science and Technology, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 30%
Dark Matter and Cosmic Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon