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Search for Composite Dark Matter with Optically Levitated Sensors

Fernando Monteiro1,*, Gadi Afek1, Daniel Carney2,3, Gordan Krnjaic3,4, Jiaxiang Wang1, and David C. Moore1

  • 1Department of Physics, Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
  • 2Joint Center for Quantum Information and Computer Science, and Joint Quantum Institute, University of Maryland–NIST, College Park, Maryland 20742, USA
  • 3Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
  • 4Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA

  • *fernando.monteiro@yale.edu
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Phys. Rev. Lett. 125, 181102 – Published 28 October, 2020

DOI: https://doi.org/10.1103/PhysRevLett.125.181102

Abstract

Results are reported from a search for a class of composite dark matter models with feeble long-range interactions with normal matter. We search for impulses arising from passing dark matter particles by monitoring the mechanical motion of an optically levitated nanogram mass over the course of several days. Assuming such particles constitute the dominant component of dark matter, this search places upper limits on their interaction with neutrons of αn≤1.2×10−7 at 95% confidence for dark matter masses between 1 and 10 TeV and mediator masses mϕ≤0.1  eV. Because of the large enhancement of the cross section for dark matter to coherently scatter from a nanogram mass (∼1029 times that for a single neutron) and the ability to detect momentum transfers as small as ∼200  MeV/c, these results provide sensitivity to certain classes of composite dark matter models that substantially exceeds existing searches, including those employing kilogram- or ton-scale targets. Extensions of these techniques can enable directionally sensitive searches for a broad class of previously inaccessible heavy dark matter candidates.

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Phys. Rev. Lett. 125, 181102– Published 28 October, 2020
  • Received 24 July 2020
  • Accepted 2 October 2020
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Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

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