Spectroscopic imaging using terahertz time-domain signals

T. D. Dorney, R. G. Baraniuk, D. M. Mittleman, Robert D. Nowak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Imaging systems based on terahertz time-domain spectroscopy offer a range of unique modalities due to the broad bandwidth, sub-picosecond duration, and phase-sensitive detection of the terahertz pulses. Furthermore, an exciting possibility exists to combine spectroscopic characterization and/or identification with imaging because the radiation is broadband in nature. In order to achieve this, novel methods for real-time analysis of terahertz waveforms are required. Unfortunately, both the absorption and the phase delay of a transmitted terahertz pulse vary exponentially with the sample's thickness. We describe a robust algorithm for extracting both the thickness and the complex index of refraction of an unknown sample. In contrast, most spectroscopic transmission measurements require accurate knowledge of the sample's thickness to determine the optical parameters. We also investigate the limits of our method.

Original languageEnglish (US)
Title of host publicationProceedings - 4th IEEE Southwest Symposium on Image Analysis and Interpretation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages151-155
Number of pages5
ISBN (Electronic)0769505953
DOIs
StatePublished - 2000
Event4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 - Austin, United States
Duration: Apr 2 2000Apr 4 2000

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2000-January

Other

Other4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000
Country/TerritoryUnited States
CityAustin
Period4/2/004/4/00

Keywords

  • Absorption
  • Bandwidth
  • Delay
  • Optical imaging
  • Optical pulses
  • Optical refraction
  • Phase detection
  • Robustness
  • Spectroscopy
  • Time domain analysis

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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