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Maximum-likelihood parameter estimation in terahertz time-domain spectroscopy
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DOI：10.1364/OE.417724.png)
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摘要
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We present a maximum-likelihood method for parameter estimation in terahertz time-domain spectroscopy. We derive the likelihood function for a parameterized frequency response function, given a pair of time-domain waveforms with known time-dependent noise amplitudes. The method provides parameter estimates that are superior to other commonly used methods and provides a reliable measure of the goodness of fit. We also develop a simple noise model that is parameterized by three dominant sources and derive the likelihood function for their amplitudes in terms of a set of repeated waveform measurements. We demonstrate the method with applications to material characterization. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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