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Related Experiment Video

Updated: Jun 28, 2025

$Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2$

Studying Soft-matter and Biological Systems over a Wide Length-scale from Nanometer and Micrometer Sizes at the Small-angle Neutron Diffractometer KWS-2

Published on: December 8, 2016

Long-baseline quantum sensor network as dark matter haloscope.

Min Jiang^1,2,3, Taizhou Hong^1,2,3, Dongdong Hu^3,4

¹CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China.

Nature Communications

|April 18, 2024

Summary

This summary is machine-generated.

This study presents the first search for dark photon dark matter using a 1700 km atomic magnetometer network. The experiment sets the most stringent terrestrial constraints on dark photon dark matter kinetic mixing coefficients.

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Area of Science:

* Particle Physics
* Astrophysics
* Dark Matter Research

Background:

* Ultralight dark photons are a leading dark matter candidate.
* Dark photons can couple to Standard Model photons via kinetic mixing, inducing electromagnetic signals.
* These signals are expected to be spatially correlated within the dark photon's de Broglie wavelength.

Purpose of the Study:

* To conduct the first search for spatially correlated dark photon signals.
* To constrain the kinetic mixing coefficient of dark photon dark matter.
* To explore dark matter detection using long-baseline atomic magnetometer networks.

Main Methods:

* Deployed a long-baseline network of 15 atomic magnetometers across two separated, meter-scale shielded rooms (1700 km apart).
* Utilized the network's multiple sensors and large shield size to enhance dark photon signal detection.
* Employed long-baseline measurements to mitigate local noise sources.

Main Results:

* Established the most stringent terrestrial constraints on the kinetic mixing coefficient for dark photon dark matter.
* Covered a dark photon mass range from 4.1 meV to 2.1 peV.
* Demonstrated the effectiveness of large-scale, shielded magnetometer networks for dark matter searches.

Conclusions:

* The experiment provides significant new constraints on dark photon dark matter properties.
* Future data may surpass astrophysical constraints from the cosmic microwave background and plasma heating.
* This approach opens new avenues for terrestrial dark matter detection.