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Daniel C. Aiken
at US Naval Research Lab
SPIE Involvement:
Author
Publications (5)
Proceedings Article | 12 May 2016 Paper
Parametric models of reflectance spectra for dyed fabrics
Daniel Aiken, Scott Ramsey, Troy Mayo, Samuel Lambrakos, Joseph Peak
Proceedings Volume 9855, 985509 (2016) https://doi.org/10.1117/12.2220040
KEYWORDS: Near infrared, Absorption, Camouflage, Short wave infrared radiation, Reflectivity, Prototyping, Diffuse reflectance spectroscopy, Tolerancing, Systems modeling, Rutherfordium, Analytical research, Dysprosium
Proceedings Article | 9 May 2016 Paper
Case study sensitivity analysis of transmission spectra for water contaminant monitoring
S. Lambrakos, C. Yapijakis, D. Aiken, A. Shabaev, S. Ramsey, J. Peak
Proceedings Volume 9862, 98620L (2016) https://doi.org/10.1117/12.2220047
KEYWORDS: Absorption, Statistical analysis, Infrared signatures, Windows, Transparency, Hyperspectral imaging, Electromagnetism, Ultraviolet radiation, Infrared imaging, Infrared radiation, Chemical analysis, Databases, Analytical research, Environmental sensing, Prototyping
SPIE Journal Paper | 2 November 2015
Inverse analysis of near-infrared transmission spectra for triarylamine dye
Daniel Aiken, Scott Ramsey, Troy Mayo, Samuel Lambrakos, Joseph Edward Peak
OE, Vol. 54, Issue 11, 117101, (November 2015) https://doi.org/10.1117/12.10.1117/1.OE.54.11.117101
KEYWORDS: Absorption, Dielectrics, Statistical analysis, Data modeling, Short wave infrared radiation, Error analysis, Reflectivity, Optical engineering, Oscillators, Optimization (mathematics)
Proceedings Article | 3 June 2015 Paper
Inverse analysis of triarylamine-dye transmission spectra
Daniel Aiken, Scott Ramsey, Troy Mayo, James Bellemare, Samuel Lambrakos, Joseph Peak
Proceedings Volume 9482, 948217 (2015) https://doi.org/10.1117/12.2087061
KEYWORDS: Data modeling, Statistical analysis, Dielectrics, Oscillators, Statistical modeling, Analytical research, Reflectivity, Mathematical modeling, Error analysis, Composites
Proceedings Article | 21 May 2015 Paper
Spectral analysis of water samples using modulated resonance features for monitoring of public water resources
S. Lambrakos, C. Yapijakis, D. Aiken, A. Shabaev, S. Ramsey, J. Peak
Proceedings Volume 9472, 947216 (2015) https://doi.org/10.1117/12.2177969
KEYWORDS: Statistical analysis, Absorption, Chemical analysis, Databases, Modulation, Analytical research, Systems modeling, Prototyping, Environmental sensing, Statistical modeling
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