2021
DOI: 10.48550/arxiv.2111.06732
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Dissecting axion and dark photon with a network of vector sensors

Yifan Chen,
Min Jiang,
Jing Shu
et al.

Abstract: We develop formalisms for a network of vector sensors, sensitive to certain spatial components of the signals, to identify the properties of light axion or dark photon background. These bosonic fields contribute to vector-like signals in the detectors, including effective magnetic fields triggering the spin precession, effective electric currents in a shielded room, and forces on the matter. The interplay between a pair of vector sensors and a baseline that separates them can potentially uncover rich informati… Show more

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Cited by 2 publications
(2 citation statements)
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References 61 publications
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“…Our focus here is on the detection prospects of this kind of dark matter. Many dedicated studies have been conducted on the detection or exclusion of vectors [34][35][36][37][38][39][40][41][42] as well as scalars [35,39,[42][43][44][45][46][47][48][49]. However, for the vector case, the analyses focusing on the Fourier space signal did not fully account for the vector nature and stochastic aspects of the field in their statistical treatment, and nor did they model the effect of the rotation of the Earth [36,38].…”
Section: Jcap06(2024)050mentioning
confidence: 99%
“…Our focus here is on the detection prospects of this kind of dark matter. Many dedicated studies have been conducted on the detection or exclusion of vectors [34][35][36][37][38][39][40][41][42] as well as scalars [35,39,[42][43][44][45][46][47][48][49]. However, for the vector case, the analyses focusing on the Fourier space signal did not fully account for the vector nature and stochastic aspects of the field in their statistical treatment, and nor did they model the effect of the rotation of the Earth [36,38].…”
Section: Jcap06(2024)050mentioning
confidence: 99%
“…Using distributed networks of sensors 2 in this fashion carries many advantages (see, e.g., Refs. [73,74] for some recent discussions). This search can make use of the same public database maintained by the SuperMAG Collaboration [75,76] that was previously analyzed in Refs.…”
Section: Contentsmentioning
confidence: 99%