Numerical removal of water-vapor effects from THz-TDS measurements

TL;DR

This paper introduces a computational deconvolution method to remove water vapor effects from THz-TDS measurements, enabling clearer spectroscopic data without the need for a closed measurement chamber.

Contribution

The study develops a novel deconvolution approach to computationally eliminate water vapor resonances from T-ray signals, improving measurement accuracy in open-air conditions.

Findings

Effective removal of water vapor resonances demonstrated

Minimal distortion of the original T-ray signal achieved

Method applicable in scenarios where closed chambers are impractical

Abstract

One source of disturbance in a pulsed T-ray signal is attributed to ambient water vapor. Water molecules in the gas phase selectively absorb T-rays at discrete frequencies corresponding to their molecular rotational transitions. This results in prominent resonances spread over the T-ray spectrum, and in the time domain the T-ray signal is observed as fluctuations after the main pulse. These effects are generally undesired, since they may mask critical spectroscopic data. So, ambient water vapor is commonly removed from the T-ray path by using a closed chamber during the measurement. Yet, in some applications a closed chamber is not applicable. This situation, therefore, motivates the need for another method to reduce these unwanted artifacts. This paper presents a study on a computational means to address the problem. Initially, a complex frequency response of water vapor is modeled from a spectroscopic catalog. Using a deconvolution technique, together with fine tuning of the strength of each resonance, parts of the water-vapor response are removed from a measured T-ray signal, with minimal signal distortion.