Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-6880
Authors: Centers, Gary P.
Blanchard, John W.
Conrad, Jan
Figueroa, Nataniel L.
Garcon, Antoine
Gramolin, Alexander V.
Kimball, Derek F. Jackson
Lawson, Matthew
Pelssers, Bart
Smiga, Joseph A.
Sushkov, Alexander O.
Wickenbrock, Arne
Budker, Dmitry
Derevianko, Andrei
Title: Stochastic fluctuations of bosonic dark matter
Online publication date: 11-Apr-2022
Year of first publication: 2021
Language: english
Abstract: Numerous theories extending beyond the standard model of particle physics predict the existence of bosons that could constitute dark matter. In the standard halo model of galactic dark matter, the velocity distribution of the bosonic dark matter field defines a characteristic coherence time τc. Until recently, laboratory experiments searching for bosonic dark matter fields have been in the regime where the measurement time T significantly exceeds τc, so null results have been interpreted by assuming a bosonic field amplitude Φ0 fixed by the average local dark matter density. Here we show that experiments operating in the T ≪ τc regime do not sample the full distribution of bosonic dark matter field amplitudes and therefore it is incorrect to assume a fixed value of Φ0 when inferring constraints. Instead, in order to interpret laboratory measurements (even in the event of a discovery), it is necessary to account for the stochastic nature of such a virialized ultralight field. The constraints inferred from several previous null experiments searching for ultralight bosonic dark matter were overestimated by factors ranging from 3 to 10 depending on experimental details, model assumptions, and choice of inference framework.
DDC: 530 Physik
530 Physics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-6880
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Nature Communications
12
Pages or article number: 7321
Publisher: Nature Publishing Group
Publisher place: London
Issue date: 2021
ISSN: 2041-1723
Publisher DOI: 10.1038/s41467-021-27632-7
Appears in collections:JGU-Publikationen

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