Evidence map›Paper›PMID 38637491›Full record

ArticleNature communications2024

Long-baseline quantum sensor network as dark matter haloscope.

Min Jiang, Taizhou Hong, Dongdong Hu, Yifan Chen, Fengwei Yang, Tao Hu, Xiaodong Yang, Jing Shu, Yue Zhao, Xinhua Peng and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Min Jiang *CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Taizhou Hong *CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Dongdong Hu *Hefei National Laboratory, University of Science and Technology of China, Hefei, 230088, China.
Yifan ChenNiels Bohr International Academy, Niels Bohr Institute, Blegdamsvej 17, Copenhagen, 2100, Denmark.
Fengwei YangDepartment of Physics and Astronomy, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0001-9873-6259
Tao HuSuzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China.
Xiaodong YangSuzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China.
Jing ShuSchool of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, 100871, China. jshu@pku.edu.cn.
Yue ZhaoDepartment of Physics and Astronomy, University of Utah, Salt Lake City, UT, 84112, USA. zhaoyue@physics.utah.edu.ORCID http://orcid.org/0000-0003-2071-7159
Xinhua PengCAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China. xhpeng@ustc.edu.cn.ORCID http://orcid.org/0000-0001-5260-2976
Jiangfeng DuCAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China.ORCID http://orcid.org/0000-0001-8085-8012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultralight dark photons constitute a well-motivated candidate for dark matter. A coherent electromagnetic wave is expected to be induced by dark photons when coupled with Standard-Model photons through kinetic mixing mechanism, and should be spatially correlated within the de Broglie wavelength of dark photons. Here we report the first search for correlated dark-photon signals using a long-baseline network of 15 atomic magnetometers, which are situated in two separated meter-scale shield rooms with a distance of about 1700 km. Both the network's multiple sensors and the shields large size significantly enhance the expected dark-photon electromagnetic signals, and long-baseline measurements confidently reduce many local noise sources. Using this network, we constrain the kinetic mixing coefficient of dark photon dark matter over the mass range 4.1 feV-2.1 peV, which represents the most stringent constraints derived from any terrestrial experiments operating over the aforementioned mass range. Our prospect indicates that future data releases may go beyond the astrophysical constraints from the cosmic microwave background and the plasma heating.

Identifiers

PMID38637491
PMCPMC11026481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.