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dc.contributor.advisorHeckel, Blayne R
dc.contributor.authorChen, Yi
dc.date.accessioned2019-02-22T17:08:02Z
dc.date.available2019-02-22T17:08:02Z
dc.date.submitted2018
dc.identifier.otherChen_washington_0250E_19508.pdf
dc.identifier.urihttp://hdl.handle.net/1773/43441
dc.descriptionThesis (Ph.D.)--University of Washington, 2018
dc.description.abstractThe objective of this dissertation is to search for axion dark matter through the coupling between the axion field and the electric dipole moment(EDM) of mercury-199 atoms. If the axion is the significant fraction of dark matter, the coupling leads to a time-varying nuclear EDM that oscillates at the frequency proportional to the axion mass, $m_{a}$. We use the data that measures the static EDM of $^{199}Hg$ atoms to look for a simple sinusoidal signal on the top of the static EDM value. The Lomb-Scargle periodogram, as a power spectrum estimator, allows us to analyze our unequally spaced EDM data in time. With two different approaches both with and without error weighting, they give a consistent result on no detection of dark matter. The most significant peak among the four EDM periodograms has a false alarm probability of 31$\%$ calculated with the Bootstrap method. The magnitude of the maximum peak can be generated by injecting a sinusoidal signal with the amplitude of 1.81$\times 10^{-29}$ $e \cdot cm$. The smallest periodic signal our measurement can detect as the maximum peak in the periodogram with 95$\%$ confidence in the frequency range of 0 to 6.17$\times 10^{-4}$ Hz is 2.3$\times 10^{-29}$ $e \cdot cm$. The static EDM of $^{199}Hg$ by itself is an important topic. This thesis will only briefly mention it and mainly cover the parts that are relevant to time-varying EDM analysis.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.rightsnone
dc.subjectBootstrap
dc.subjectelectric dipole moment
dc.subjectperiodogram
dc.subjecttime-varying EDM
dc.subjectAtomic physics
dc.subject.otherPhysics
dc.titleAxion-like Dark Matter Detection with Mercury-199 Atoms
dc.typeThesis
dc.embargo.termsOpen Access


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