The DOI matches its Crossref record.
Resonantly Detecting Axion-Mediated Forces with Nuclear Magnetic Resonance
Open accessAbstract
We describe a method based on precision magnetometry that can extend the search for axion-mediated spin-dependent forces by several orders of magnitude. By combining techniques used in nuclear magnetic resonance and short-distance tests of gravity, our approach can substantially improve upon current experimental limits set by astrophysics, and probe deep into the theoretically interesting regime for the Peccei-Quinn (PQ) axion. Our method is sensitive to PQ axion decay constants between 10(9) and 10(12) GeV or axion masses between 10(-6) and 10(-3) eV, independent of the cosmic axion abundance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
di Cortona, G. G., Hardy, E., Vega, J. P., & Villadoro, G. (2016) · Journal of High Energy Physics · doi:10.1007/jhep01(2016)034 · Cited by 747
New experimental approaches in the search for axion-like particles
Irastorza, I. G., & Redondo, J. (2018) · Progress in Particle and Nuclear Physics · doi:10.1016/j.ppnp.2018.05.003 · Cited by 745
Cosmological Relaxation of the Electroweak Scale
Graham, P. W., Kaplan, D. E., & Rajendran, S. (2015) · Physical Review Letters · doi:10.1103/physrevlett.115.221801 · Cited by 657
The landscape of QCD axion models
Di Luzio, L., Giannotti, M., Nardi, E., & Visinelli, L. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.06.002 · Cited by 657
Arvanitaki, A., Dimopoulos, S., Galanis, M., Lehner, L., Thompson, J. O., & Van Tilburg, K. (2020) · Physical Review D · doi:10.1103/physrevd.101.083014 · Cited by 175
Self-citation
Metadata
- Authors
- Arvanitaki, A., & Geraci, A. A.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2014-10-14
- Volume
- 113
- Issue
- 16
- Pages
- 161801-161801
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2078971509
- Cited by
- 248
- References
- 0
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Resonantly Detecting Axion-Mediated Forces with Nuclear Magnetic Resonance. https://app.cochat.ai/papers/10.1103/physrevlett.113.161801
- The paper
- Arvanitaki, A., & Geraci, A. A. (2014). Resonantly Detecting Axion-Mediated Forces with Nuclear Magnetic Resonance. Physical Review Letters. https://doi.org/10.1103/physrevlett.113.161801
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.