Resource type
Date created
2021-02-15
Authors/Contributors
Author: Mohtashemi, Laleh
Author: Westlund, Paul
Author: Sahota, Derek G.
Author: Lea, Graham B.
Author: Bushfield, Ian
Author: Mousavi, Payam
Author: Dodge, J. Steven
Abstract
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.
Document
SFU DOI
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
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input_data\20938\oe-29-4-4912.pdf | 3.13 MB |