Windowing in terahertz time-domain spectroscopy: resolving resonances in thin-film samples

TL;DR

This paper provides a practical, systematic approach for applying time-domain windowing in terahertz time-domain spectroscopy to accurately extract the optical properties of thin films, addressing artifacts caused by reflections and limited measurement windows.

Contribution

It formalizes a decision-making routine for windowing in THz-TDS data analysis, including guidelines for window type, length, and shape, tailored to specific signal conditions.

Findings

Window parameters significantly influence spectral accuracy.

Different window functions impact the resolution of resonant features.

The proposed routine improves the reliability of permittivity extraction.

Abstract

Terahertz time-domain spectroscopy (THz-TDS) has become a powerful tool for investigating the optical properties of thin films, offering direct access to the complex permittivity in the terahertz range. However, in transmission-based measurements of thin films on thick substrates, multiple reflections and limited time windows can introduce artifacts that obscure resonant features such as phonon modes. Time-domain windowing remains one of the most widely adopted strategies to mitigate these effects, yet systematic guidelines on its application remain scarce. In this work, we organize a practical routine for extracting the complex permittivity from THz-TDS data, focusing on when and how to apply time-domain windowing. The routine incorporates decision points for truncation versus smooth apodization, and emphasizes tailoring the window length and shape to specific signal conditions. We demonstrate the approach using representative measurements on PbTe thin films, highlighting cases in which truncation suffices, where apodization is essential, and how different window functions and lengths influence the resulting spectra. We also propose simple metrics to assess signal continuity and guide window selection. Although other analysis techniques exist, including parametric spectral estimation, this study focuses on formalizing windowing-based processing into an accessible experimental workflow. Our results show that the choice of window parameters can significantly affect the accuracy of extracted material parameters, particularly for sharply resonant systems. This work provides an accessible framework for improving spectral fidelity in THz-TDS of thin-film samples.