We have provided an analysis strategy for inferring the properties of ultralight vector dark matter from terrestrial experiments, considering the stochastic and vector nature of the field.
Our main results are suited for observation times that are longer than a sidereal day, but shorter than the coherence time, revealing how dark matter signals behave.
We focused on the signal in Fourier space, deriving the power spectral density that such dark matter is expected to leave on an axial sensor.
We derived the likelihoods in each of the signal-containing bins in Fourier space by integrating out the six random variables exhibited by the ULDM signal.
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