Detecting dark matter waves with precision measurement tools
Andrei Derevianko

TL;DR
This paper proposes using networks of precision measurement devices, like atomic clocks, to detect ultra-light dark matter waves (VULFs) by leveraging their spatial and temporal phase information, improving detection sensitivity.
Contribution
It introduces a formalism for analyzing VULF signals across device networks, deriving correlation functions, and demonstrating enhanced sensitivity over single devices for dark matter detection.
Findings
Network of devices improves sensitivity by √N_d
Derived asymmetric line shape for VULF signals
Sensitivity estimates for atomic clock networks
Abstract
Virialized Ultra-Light Fields (VULFs) are viable cold dark matter candidates and include scalar and pseudo-scalar bosonic fields, such as axions and dilatons. Direct searches for VULFs rely on low-energy precision measurement tools. While the previous proposals have focused on detecting coherent oscillations of the VULF signals at the VULF Compton frequencies at individual devices, here I consider a network of such devices. VULFs are essentially dark matter {\em waves} and as such they carry both temporal and spatial phase information. Thereby, the discovery reach can be improved by using networks of precision measurement tools. To formalize this idea, I derive a spatio-temporal two-point correlation function for the ultralight dark matter fields in the framework of the standard halo model. Due to VULFs being Gaussian random fields, the derived two-point correlation function fully…
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