Published July 1, 2016 | Version Published + Submitted
Journal Article Open

Detecting ultralight bosonic dark matter via absorption in superconductors

  • 1. ROR icon Lawrence Berkeley National Laboratory
  • 2. ROR icon University of California, Berkeley

Abstract

Superconducting targets have recently been proposed for the direct detection of dark matter as light as a keV, via elastic scattering off conduction electrons in Cooper pairs. Detecting such light dark matter requires sensitivity to energies as small as the superconducting gap of O(meV). Here we show that these same superconducting devices can detect much lighter DM, of meV to eV mass, via dark matter absorption on a conduction electron, followed by emission of an athermal phonon. We demonstrate the power of this setup for relic kinetically mixed hidden photons, pseudoscalars, and scalars, showing that the reach can exceed current astrophysical and terrestrial constraints with only a moderate exposure.

Additional Information

© 2016 American Physical Society. (Received 6 May 2016; published 18 July 2016) We thank John Clarke, Adolfo Grushin, Roni Ilan, Maxim Pospelov, and Jakub Scholtz for useful discussions. Y. H. and K. Z. thank Matt Pyle and Yue Zhao for collaboration on their earlier work establishing superconductors as viable DM detectors. We thank Yue Zhao for comments on the manuscript. Y. H. is supported by the U.S. National Science Foundation (NSF) under Grant No. PHY-1002399. T. L. is supported by the U.S. Department of Energy (DOE) Award No. DE-AC02-05CH11231 and NSF Grant No. PHY-1316783. K. Z. is supported by the DOE under Award No. DE-AC02-05CH11231.

Attached Files

Published - PhysRevD.94.015019.pdf

Submitted - 1604.06800.pdf

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Additional details

Identifiers

Eprint ID
96425
Resolver ID
CaltechAUTHORS:20190613-164150067

Related works

Funding

NSF
PHY-1002399
Department of Energy (DOE)
DE-AC02-05CH11231
NSF
PHY-1316783

Dates

Created
2019-06-18
Created from EPrint's datestamp field
Updated
2021-11-16
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Caltech groups
Physics Department