Spectrum adapted the expectation-maximization algorithm for high-throughput peak shift analysis.

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ID: 2189
2019
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Abstract
We introduce a spectrum-adapted expectation-maximization (EM) algorithm for high-throughput analysis of a large number of spectral datasets by considering the weight of the intensity corresponding to the measurement energy steps. Proposed method was applied to synthetic data in order to evaluate the performance of the analysis accuracy and calculation time. Moreover, the proposed method was performed to the spectral data collected from graphene and MoS field-effect transistors devices. The calculation completed in less than 13.4 s per set and successfully detected systematic peak shifts of the C 1 in graphene and S 2 in MoS peaks. This result suggests that the proposed method can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
Reference Key
matsumura2019spectrumscience Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Matsumura, Tarojiro;Nagamura, Naoka;Akaho, Shotaro;Nagata, Kenji;Ando, Yasunobu;
Journal science and technology of advanced materials
Year 2019
DOI
10.1080/14686996.2019.1620123
URL
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