Reduced LIBS plasma model via thermodynamics

Steven T. Griffin; Brandon Dent

doi:10.1117/12.919167

4 May 2012 Reduced LIBS plasma model via thermodynamics

Steven T. Griffin, Brandon Dent

Proceedings Volume 8358, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII; 835812 (2012) https://doi.org/10.1117/12.919167
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

A standard spectroscopic sensor technique for classification of materials is Laser Induced Breakdown Spectroscopy (LIBS). Though LIBS, as an Atomic Emission Spectroscopy (AES) technique, is generally separated from signal processing based classification techniques, they strongly interact in the design of sensor systems. Strict disciplinary separation results in approaches that inadequately address the mass, power consumption and other portability parameters of the ultimate sensor. Modifications in the sensor design approach and of the classification processing techniques reduce redundancies in the system, resulting in more compact overall systems. An engineering thermodynamic approach to the plasma description, as part of a predictor-corrector style classification loop, is used to reduce system requirements for material classification. This paper presents results for the compaction of the model system. In this work, a nontraditional approach is made to reduce the modeling system to a configuration compatible with the incorporation of the model onto a compact DSP structure. Calculation of partition function tables allows heuristic adjustments to a thermodynamic description of the LIBS plasma. Once the plasma environment is established, rate equation descriptions can establish detailed balance and predict the emission properties of the sample. The resulting model must be compatible with compact, low power, computation schemes, such as multi-core DSPs as part of a predictor-corrector classifier.

Citation Download Citation

Steven T. Griffin and Brandon Dent "Reduced LIBS plasma model via thermodynamics", Proc. SPIE 8358, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII, 835812 (4 May 2012); https://doi.org/10.1117/12.919167

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KEYWORDS

Plasma

Thermodynamics

Laser induced breakdown spectroscopy

Digital signal processing

Systems modeling

Classification systems

Sensors

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