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A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
by
Vindas-Yassine, Nabil
, Lampin, Jean-François
, Lavancier, Mélanie
, Vlieghe, Juliette
, Peretti, Romain
, Hannotte, Theo
, Orieux, François
in
Lactose
/ Molecular dynamics
/ Open source software
/ Permittivity
2024
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A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
by
Vindas-Yassine, Nabil
, Lampin, Jean-François
, Lavancier, Mélanie
, Vlieghe, Juliette
, Peretti, Romain
, Hannotte, Theo
, Orieux, François
in
Lactose
/ Molecular dynamics
/ Open source software
/ Permittivity
2024
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Do you wish to request the book?
A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
by
Vindas-Yassine, Nabil
, Lampin, Jean-François
, Lavancier, Mélanie
, Vlieghe, Juliette
, Peretti, Romain
, Hannotte, Theo
, Orieux, François
in
Lactose
/ Molecular dynamics
/ Open source software
/ Permittivity
2024
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A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
Paper
A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
2024
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Overview
We present a robust method, as well as a new metric, for the comparison of permittivity models in terahertz timedomain spectroscopy (THz-TDS). In this work, we perform an extensive noise analysis of a THz-TDS system, we remove and model the unwanted deterministic noises and implement them into our fitting process. This is done using our open-source software, Fit@TDS, available at : https://github.com/THzbiophotonics/Fit-TDS. This work is the first step towards the derivation of uncertainties, and therefore the use of error bars. We hope that this will lead to performing analytical analysis with THz-TDS, as results obtained from different setups will be comparable. Finally, we apply this protocol to the study of a \\(\\alpha\\)-lactose monohydrate pellet in order to give more insight on the molecular dynamics behind the absorption peaks. The comparison with simulation results is made easier thanks to the probabilities derived from the metric.
Publisher
Cornell University Library, arXiv.org
Subject
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