J. Steven Dodge, Laleh Mohtashemi, Paul Westlund, P. Mousavi, D. Sahota
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A maximum-likelihood analysis framework for terahertz time-domain spectroscopy
We present a maximum-likelihood framework for analyzing terahertz time-domain spectroscopy measurements. This approach has several advantages other commonly-used methods, especially for evaluating goodness of fit. We also demonstrate a simple time-domain noise model that accurately describes the noise amplitude in a set of repeated measurements. These techniques are broadly applicable to material parameter estimation.
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