Static aerosol test panels as standoff detection performance targets

R. Andrew McGill; Viet K. Nguyen; Robert Furstenberg; Christopher A. Kendziora; Daniel Corbin; Christopher Breshike; Michael R. Papantonakis

doi:10.1117/12.3014008

10 June 2024 Static aerosol test panels as standoff detection performance targets

R. Andrew McGill, Viet K. Nguyen, Robert Furstenberg, Christopher A. Kendziora, Daniel Corbin, Christopher Breshike, Michael R. Papantonakis

Author Affiliations +

Proceedings Volume 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV; 130561C (2024) https://doi.org/10.1117/12.3014008
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Performing standoff detection tests of aerosol clouds is complicated by the level of effort to set up for such experiments and uncontrolled ambient airflows. A more controlled approach is desirable for early stage experiments and for infield validation tests or calibration purposes. Here we describe the development of a static panel coated with the particle constituents of an aerosol cloud collapsed into a two-dimensional rendering. Providing the support panel is sufficiently optically benign at relevant wavelengths for the target aerosol particles and the particles are separated by sufficient distances to interact with infrared light independently from one another suitable test panels maybe be fabricated. Here we elaborate on our two-dimensional static aerosol panel concept and discuss the choice of infrared benign support, how to deposit aerosol particles over a relatively large footprint up to one-meter square and the optical characterization of test panels produced.

Conference Presentation

Citation Download Citation

R. Andrew McGill, Viet K. Nguyen, Robert Furstenberg, Christopher A. Kendziora, Daniel Corbin, Christopher Breshike, and Michael R. Papantonakis "Static aerosol test panels as standoff detection performance targets", Proc. SPIE 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV, 130561C (10 June 2024); https://doi.org/10.1117/12.3014008

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KEYWORDS

Aerosols

Standoff detection

Atmospheric particles

Target detection

Clouds

Infrared radiation

Calibration

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