Modeling Rough-Surface and Granular Scattering at Terahertz Frequencies Using the Finite-Difference Time-Domain Method
Abstract
Exploration of the terahertz (THz) portion of the electromagnetic spectrum has recently expanded due to advances in ultrafast optical laser systems. The application of THz imaging to detect explosive materials (and other chemical agents) is a promising potential application because of the unique spectral signatures found for many explosives in the THz band. However, since the wavelength of THz radiation is on the order of tens to hundreds of micrometers, the rough interface between materials and the granular nature of material mixtures (such as explosives) may cause frequency-dependent scattering, which could mask the spectral signature. Thus, to evaluate the effectiveness of THz imaging systems, it is necessary to characterize the combined volume and rough-surface scattering effects. Because of the complexity of the media and the requirement for broadband modeling, the finite-difference time-domain (FDTD) formulation is an ideal tool. In this paper, transmission measurements through granular media and reflection measurements from controlled rough surfaces are shown to be in good agreement with FDTD results. Methods for extracting the material spectral peaks from a limited number of measurements are presented and discussed.
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Existing models do not account for the large degree of intra-batch variation in spectra observed when measuring samples prepared with the same morphological properties.
“Further, these models do not account for the large degree of intra-batch variation in spectra which have been observed when performing measurements on samples prepared with the same morphological properties [14].”
From Unveiling the Origin of Spurious Features in THz-TDS of Powder Compacts (2025) · cites this paper as [14]
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- Authors
- Sundberg, G., Zurk, L. M., Schecklman, S., & Henry, S.
- Affiliations
- Portland State University (US)
- ORCID
- Schecklman, Scott
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2010-10
- Volume
- 48
- Issue
- 10
- Pages
- 3709-3719
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2144181289
- Cited by
- 37
- References
- 32
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 1 · 2023: 4 · 2022: 2 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 1 · 2012: 4
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Geoscience and Remote Sensing (publishedVersion)
- PDXScholar (Portland State University) (submittedVersion)
- Funders
- Washington State University
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Terahertz technology and applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electromagnetic Simulation and Numerical Methods
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Electromagnetic Scattering and Analysis
- Keywords
- terahertz scattering, rough surface scattering, granular materials, explosives detection, terahertz imaging, spectral signatures, frequency-dependent scattering, volume scattering
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