Abstract

In our recent companion paper [arXiv:2106.00022], we pointed out a novel signature of ultralight kinetically mixed dark-photon dark matter. This signature is a quasi-monochromatic, time-oscillating terrestrial magnetic field that takes a particular pattern over the surface of the Earth. In this work, we present a search for this signal in existing, unshielded magnetometer data recorded by geographically dispersed, geomagnetic stations. The dataset comes from the SuperMAG Collaboration and consists of measurements taken with one-minute cadence since 1970, with $\mathcal{O}(500)$ stations contributing in all. We aggregate the magnetic field measurements from all stations by projecting them onto a small set of global vector spherical harmonics (VSH) that capture the expected vectorial pattern of the signal at each station. Within each dark-photon coherence time, we use a data-driven technique to estimate the broadband background noise in the data, and search for excess narrowband power in this set of VSH components; we stack the searches in distinct coherence times incoherently. Following a Bayesian analysis approach that allows us to account for the stochastic nature of the dark-photon dark-matter field, we set exclusion bounds on the kinetic mixing parameter in the dark-photon dark-matter mass range $2\times10^{-18}\,\text{eV} \lesssim m_{A'} \lesssim 7\times10^{-17}\,\text{eV}$ (corresponding to frequencies $6\times 10^{-4}\,\text{Hz}\lesssim f_{A'} \lesssim 2\times 10^{-2}\,\text{Hz}$). These limits are complementary to various existing astrophysical constraints. Although our main analysis also identifies a number of candidate signals in the SuperMAG dataset, these appear to either fail or be in tension with various additional robustness checks we apply to those candidates. We report no robust and significant evidence for a dark-photon dark-matter signal in the SuperMAG dataset.

Highlights

  • Over an enormous range of scales from the dwarf galactic to the cosmological, there is overwhelming evidence for the existence of dark matter (DM) via its gravitational effects

  • The signal Eq (1) is very narrow in frequency, so it is most appropriate to search for the signal in the frequency domain; since the total duration of the data-taking for the available SuperMAG data is in many cases significantly longer than the signal coherence time, a straightforward Fourier transform of the full time series would in general result in a nonmonochromatic peak in frequency space if a DM signal were present; extracting a rigorous limit or signal amplitude estimate would require knowledge of the exact shape of this peak, which is a fairly nontrivial problem that relies on detailed knowledge of the velocity dispersion of the DM

  • VI B, we develop and apply tests to analyze whether or not the identified candidates are fully consistent with the expected properties of a dark-photon dark matter (DPDM) signal, Eq (1): On the basis of the discussion there, we conclude that none of the 30 naive signal candidates can be considered robust evidence for a real DPDM signal in the SuperMAG data

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Summary

INTRODUCTION

Over an enormous range of scales from the dwarf galactic to the cosmological, there is overwhelming evidence for the existence of dark matter (DM) via its gravitational effects. In a recent companion paper [42], we pointed out the existence of a new signature of ultralight kinetically mixed DPDM: a spatially and temporally coherent, oscillating, terrestrial magnetic field signal that is narrow band in frequency, and that takes a particular vectorial field pattern over the whole surface of Earth This signal arises because of the same photon–dark-photon mixing effects responsible for the generation of the signal in, e.g., DM Radio [13]. [42], we provided a high-level summary and the results of an experimental search for this novel signal that we undertook using a publicly available geomagnetic field dataset maintained by the SuperMAG Collaboration [43–45] This dataset, which exists primarily for geophysical metrology and solar activity research purposes, consists of time-series magnetic field measurements obtained with unshielded three-axis magnetometers located at Oð500Þ ground stations that are widely dispersed over the surface of Earth and that, collectively, have been recording data continuously since the early 1970s with a sampling rate of (at least) once per minute [43–45]. Appendix E contains a series of detailed validation checks on the datadriven noise estimation procedures applied in our analysis

SIGNAL
Overview
SuperMAG coordinate system
Postprocessing by SuperMAG
Temporal features in SuperMAG data
ANALYSIS STRATEGY
Section V C
ANALYSIS DETAILS
Selection of VSH components
Combination of stations
Coherent-signal data subsets
Signal
Signal in other VSH modes
Noise spectra
Bayesian statistical analysis
Likelihood function
Marginalized likelihood function
Priors and posteriors
Coherence time approximation and choice of frequencies
Correction for finite signal width
Results
Naive signal candidates
Tests of candidates
Validation of analysis pipeline
Discussion
CONCLUSION
Marginalized likelihood
Jeffreys prior
Noise variation within a calendar year
Choice of τmin
Findings
Gaussianity of variables
Full Text
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