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arXiv · 2210.16095

Sequential hypothesis testing for Axion Haloscopes

Andrea Gallo Rosso·Sara Algeri·Jan Conrad
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Abstract

The goal of this paper is to introduce a novel likelihood-based inferential framework for axion haloscopes which is valid under the commonly applied "rescanning" protocol. The proposed method enjoys short data acquisition times and a simple tuning of the detector configuration. Local statistical significance and power are computed analytically, avoiding the need of burdensome simulations. Adequate corrections for the look-elsewhere effect are also discussed. The performance of our inferential strategy is compared with that of a simple method which exploits the geometric probability of rescan. Finally, we exemplify the method with an application to a HAYSTAC type axion haloscope.

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Andrea Gallo Rosso, Sara Algeri, Jan Conrad. 2022-10-28. Sequential hypothesis testing for Axion Haloscopes. https://doi.org/10.1103/physrevd.108.023003

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