TL;DR
This paper proposes a novel dark matter detection method based on asymmetries and annual modulations in noise distributions of quantum sensors, demonstrated using GPS atomic clock data to constrain macroscopic dark matter objects.
Contribution
It introduces a new signature for dark matter detection involving noise asymmetries and annual modulation, applicable to existing quantum sensor data.
Findings
Detected no significant asymmetry in GPS clock data.
Placed new constraints on macroscopic dark matter objects with radii less than 10^4 km.
Demonstrated the method's potential with 6 years of satellite data.
Abstract
Dark matter may be composed of self-interacting ultralight quantum fields that form macroscopic objects. An example of which includes Q-balls, compact non-topological solitons predicted by a range of theories that are viable dark matter candidates. As the Earth moves through the galaxy, interactions with such objects may leave transient perturbations in terrestrial experiments. Here we propose a new dark matter signature: an asymmetry (and other non-Gaussianities) that may thereby be induced in the noise distributions of precision quantum sensors, such as atomic clocks, magnetometers, and interferometers. Further, we demonstrate that there would be a sizeable annual modulation in these signatures due to the annual variation of the Earth velocity with respect to dark matter halo. As an illustration of our formalism, we apply our method to 6 years of data from the atomic clocks on board…
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