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Identification of air gaps in terahertz reflection imaging and mitigation of spectral artifact using Hilbert transform

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The applications of THz time-domain spectroscopy are rapidly growing in non-destructive testing and biomedical imaging. In many such applications, air gaps can naturally occur in a multi-layer sample geometry, which can alter the measured reflection spectra and thus influence the characterization of the sample. Here, we present an iterative computational algorithm based on the Hilbert transform and cross correlation to precisely calculate the thickness of the air gaps. Subsequently, by computationally removing the effects of the air gaps from the time-domain data in post-processing, the optical parameters of the sample can be extracted accurately.

Original languageEnglish
Title of host publicationTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVIII
EditorsLaurence P. Sadwick, Tianxin Yang
PublisherSPIE
ISBN (Electronic)9781510684782
DOIs
StatePublished - 2025
EventTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVIII 2025 - San Francisco, United States
Duration: Jan 27 2025Jan 30 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13365
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVIII 2025
Country/TerritoryUnited States
CitySan Francisco
Period01/27/2501/30/25

Keywords

  • cross-correlation
  • Hilbert transform
  • non-destructive testing
  • Terahertz time-domain spectroscopy

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