A Proposed Network to Detect Axion Quark Nugget Dark Matter
Xunyu Liang, Egor Peshkov, Ludovic Van Waerbeke, Ariel Zhitnitsky

TL;DR
This paper proposes a network of synchronized detectors to enhance the detection of axion quark nugget dark matter, aiming to identify signals, determine flux directionality, and test dark matter models.
Contribution
It introduces an optimal detector network configuration for AQN-induced axion and X-ray detection, improving dark matter search strategies.
Findings
Triangular network of stations 100 km apart optimizes axion detection.
Tetrahedral array units are optimal for X-ray detection.
Networks can distinguish signals from background and test dark matter models.
Abstract
A network of synchronized detectors can increase the likelihood of discovering the QCD axion, within the Axion Quark Nugget (AQN) dark matter model. A similar network can also discriminate the X-rays emitted by the AQNs from the background signal. These networks can provide information on the directionality of the dark matter flux (if any), as well as its velocity distribution, and can therefore test the Standard Halo Model. We show that the optimal configuration to detect AQN-induced axions is a triangular network of stations 100 km apart. For X-rays, the optimal network is an array of tetrahedral units.
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