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Signal Alignment Problems on Multi-element X-Ray Fluorescence Detectors

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2021)

Abstract

X-ray fluorescence (XRF) is a spectroscopic technique with applications in several fields, such as biology, food science and forensics. Often setups have multi-element detectors in order to improve the signal-to-noise ratio. The relative set of produced spectra have to be aligned to a reference spectrum, in a procedure that is referred to as energy calibration, which is necessary for the fitting. Automated methods fail and a manual procedure is typically employed instead. In this paper, we discuss the signal alignment problem of such systems and we illustrate the preliminary results of a new automated method for linear XRF spectra alignment, which potentially can be used also for other time-series like data.

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Correspondence to Francesco Guzzi .

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Guzzi, F., Kourousias, G., Billé, F., Di Credico, G., Gianoncelli, A., Carrato, S. (2022). Signal Alignment Problems on Multi-element X-Ray Fluorescence Detectors. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2021. Lecture Notes in Electrical Engineering, vol 866. Springer, Cham. https://doi.org/10.1007/978-3-030-95498-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-95498-7_24

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