Dual Optical Comb LWIR Source and Sensor

Abstract

In this program we developed a compact dual-optical frequency comb (OFC) sensor for standoff detection of national security relevant compounds. These compounds are primarily solids at room temperature and consequently have low vapor pressure. In realistic application scenarios these materials are found on common diffusely reflective Because the target materials have their strongest spectral signatures in the longwave infrared (LWIR) regime, our OFC sources are based on dispersion compensated quantum cascade lasers (QCLs) in the 8 to 12 micron regime. The lasers emit about 1W of optical power under cw operation near room temperature and produce combs with optical bandwidths exceeding 100 wavenumbers. We developed processing algorithms for reducing the high bandwidth multi-heterodyne data stream into the desired spectral information with up to 0.3 cm-1 resolution and optimizing the signal to noise ratio. Finally, we tested a prototype dual-comb system against diffusely scattering surfaces at standoff distances up to 1 meter and demonstrated spectral discrimination at the few microgram mass loading level, a relevant metric for national security needs.

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Document Details

Document Type
Technical Report
Publication Date
Oct 12, 2017
Accession Number
AD1040498

Entities

People

  • Andreas Hugi
  • Joel M. Hensley
  • Justin M. Brown
  • Jérôme Faist
  • Mark G. Allen
  • Markus Geiser
  • Markus Mangold
  • Pierre Jouy
  • Pitt Allmendinger

Organizations

  • Physical Sciences (United States)

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Antireflection Coatings
  • Computational Science
  • Detection
  • Detectors
  • Frequency
  • Frequency Combs
  • Lasers
  • Materials
  • Measurement
  • National Security
  • Optics
  • Quantum Cascade Lasers
  • Reflection
  • Scattering
  • Spectroscopy
  • Wave Mixing

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Optical Physics and Photonics.

Technology Areas

  • Directed Energy
  • Quantum Computing