Multiple-cavities interferometric analysis for dark matter axions directional-sensitive search based on signal cross-correlation processing
Jos\'e Reina-Valero, Alejandro D\'iaz-Morcillo, Benito Gimeno, Antonio, Jos\'e Lozano-Guerrero, Iv\'an Mart\'i-Vidal, Juan Monz\'o-Cabrera, Jose R., Navarro-Madrid, Carlos Pe\~na-Garay

TL;DR
This paper introduces a novel cross-correlation method for multiple-cavity axion detectors, enhancing directional sensitivity and daily modulation analysis, potentially reducing detection time and characterizing axion velocity distribution.
Contribution
The work applies cross-correlation techniques to multiple-cavity setups for the first time, improving axion detection sensitivity and enabling directional and daily modulation studies.
Findings
Cross-correlation increases signal-to-noise ratio faster than power summation.
Daily modulation of signals depends on cavity orientation and length.
Phase differences over 2 degrees observed between cavities in different locations.
Abstract
Current axion detection limits neglect the relevance of the relative velocity between the axion field and the detectors. However, this aspect can lead to a daily modulation of the detected axion signal. In this work, we calculate the cross-correlation of various signals potentially originated in multiple-cavity setups, and we analyze how the signal-to-noise ratio and directional sensitivity depend on the signal cross-correlation among multiple cavities. The signal-to-noise ratio after cross-correlation exhibits a greater rate of increase over time compared to the power-summation technique, making it clear that this method could be potentially employed in a real setup for the reduction of the exposure time. For the study of the daily modulation, three interferometric experiments have been proposed in this manuscript: (i) three rectangular cavities in different Earth locations; (ii) three…
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Taxonomy
TopicsOptical Polarization and Ellipsometry · Dark Matter and Cosmic Phenomena · Terahertz technology and applications
