Paper
8 May 2018 Agile optoelectronic fiber sources for hyperspectral chemical sensing from SWIR to LWIR
Inuk Kang, Andrew Grant, Mihaela Dinu, James Jaques, Luke Pfister, Rohit Bhargava, P. Scott Carney
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Abstract
The use of optical frequency combs (OFCs) for multi-heterodyne spectroscopy has enabled unprecedented measurement capabilities for spectroscopic sensing, including rapid acquisition speed, high resolution and high sensitivity1,2. Development of field deployable OFC sources that are widely tunable in the important chemical fingerprint region in the long-wavelength infrared (LWIR) is a major research challenge. In this paper, we report our recent efforts towards developing LWIR comb source for SILMARILS (Standoff ILluminator for Measuring Absorbance and Reflectance Infrared Light Signatures) program by IARPA. LGS has developed fiber optic sources producing spectral combs in the SWIR (1.52 to 1.56 μm and 1.7 to 2.0 μm) and in the LWIR (7.7 to 12.1 μm) regions. The spectral combs in the LWIR are generated by difference-frequency mixing one OFC centered around 1.54 μm with another OFC, whose center wavelength is tunable between 1.7 and 2.0 μm, in a nonlinear optical crystal. Average power of the generated LWIR is 1.2-12 mW and its instantaneous spectral breadth of the combs is > 80 cm-1, sufficiently broad to cover multiple molecular absorption peaks. We demonstrate standoff sensing of chemical targets having concentration as low as 12 μg/cm2 by measuring LWIR transflectance spectra using the comb source.
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Inuk Kang, Andrew Grant, Mihaela Dinu, James Jaques, Luke Pfister, Rohit Bhargava, and P. Scott Carney "Agile optoelectronic fiber sources for hyperspectral chemical sensing from SWIR to LWIR", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106441E (8 May 2018); https://doi.org/10.1117/12.2305120
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KEYWORDS
Long wavelength infrared

Biological and chemical sensing

Short wave infrared radiation

Spectroscopy

Standoff detection

Detection and tracking algorithms

Solitons

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