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Proceedings Paper

System optimization of a field-widened Michelson interferometric spectral filter for high spectral resolution lidar
Author(s): Dong Liu; Ian Miller; Chris Hostetler; Anthony Cook; Johnathan Hair
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Paper Abstract

High spectral resolution lidars (HSRLs) have recently shown great value in aerosol measurements form aircraft and are being called for in future space-based aerosol remote sensing applications. A quasi-monolithic field-widened, off-axis Michelson interferometer had been developed as the spectral discrimination filter for an HSRL currently under development at NASA Langley Research Center (LaRC). The Michelson filter consists of a cubic beam splitter, a solid arm and an air arm. The input light is injected at 1.5° off-axis to provide two output channels: standard Michelson output and the reflected complementary signal. Piezo packs connect the air arm mirror to the main part of the filter that allows it to be tuned within a small range. In this paper, analyses of the throughput wavephase, locking error, AR coating, and tilt angle of the interferometer are described. The transmission ratio for monochromatic light at the transmitted wavelength is used as a figure of merit for assessing each of these parameters.

Paper Details

Date Published: 23 August 2011
PDF: 10 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81924N (23 August 2011); doi: 10.1117/12.904037
Show Author Affiliations
Dong Liu, NASA Langley Research Ctr. (United States)
Ian Miller, LightMachinery Inc. (Canada)
Chris Hostetler, NASA Langley Research Ctr. (United States)
Anthony Cook, NASA Langley Research Ctr. (United States)
Johnathan Hair, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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