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Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter

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Title
Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter
Author(s)
Andrew Yi; Saebyeok Ahn; Byeong Rok Ko; Yannis Semertzidis
Publication Date
2023-11
Journal
Journal of High Energy Physics, v.2023, no.11
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
The signal to noise ratio efciency ϵSNR in axion dark matter searches has been estimated using large-statistic simulation data refecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even with the assistance of powerful computing resources. Employing a Savitzky-Golay flter for background subtraction, in this work, we estimated a fully analytical ϵSNR without relying on large-statistic simulation data, but only with an arbitrary axion mass and the relevant signal shape information. Hence, our work can provide ϵSNR using minimal computing time and resources prior to the acquisition of experimental data, without the detailed information that has to be obtained from real experiments. Axion haloscope searches have been observing the coincidence that the frequency independent scale factor ξ is approximately consistent with the ϵSNR. This was confrmed analytically in this work, when the window length of the Savitzky-Golay flter is reasonably wide enough, i.e., at least 5 times the signal window.
URI
https://pr.ibs.re.kr/handle/8788114/14271
DOI
10.1007/jhep11(2023)115
ISSN
1126-6708
Appears in Collections:
Center for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단) > 1. Journal Papers (저널논문)
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