Abstract
The Error and Monitor signals of the Mössbauer driver can be used to infer the true velocity in the acquisition of a Mössbauer spectrum. This information can be recorded to substantially improve the collected data. It can be used to perform quality control of the spectra, validate regions of good linearity and correct non-linearities. In particular the error waveform is essential to account for possible deviations of the channel-to-velocity relation from the expected one. These deviations are mainly due to the physical limitations of the feedback control system. They are almost impossible to anticipate and they vary considerably when modifying the amplitude or shape of the velocity reference, or when modifying the parameters of the closed-loop control system. The sampling of the Error and Monitor waveforms can be carried out with a standard digital oscilloscope, while maintaining a correct synchronization and resolution, necessary for a correct post-analysis. In this paper a method for wave acquisition and reconstruction is proposed. The effects of non-controlled oscillations at the abrupt changes of velocity variation in alpha Fe spectra are discussed. It is also shown how the acquisition can be performed remotely and automatically, without disturbing the measurement or decreasing the efficiency of the spectrometer.
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The financial support for this work was granted by Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación (ANPCyT) and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) of Argentina, with projects, PICT 2017-1748 and PUE 22920170100066CO respectively.
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Gustavo A. Pasquevich and Alejandro L. Veiga contributed equally to this work.
This article is part of the Topical Collection on Proceedings of the International Conference on the Applications of the Mössbauer Effect (ICAME 2021), 5-10 September 2021, Brasov, Romania
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Pasquevich, G.A., Veiga, A.L. Velocity waveform digitalization for quality control and enhancement of Mössbauer effect spectra acquisition. Hyperfine Interact 242, 12 (2021). https://doi.org/10.1007/s10751-021-01741-7
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DOI: https://doi.org/10.1007/s10751-021-01741-7