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Brandon Dent

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Proceedings Article | 29 May 2013 Paper

LIBS plasma model validation

Steven Griffin, Brandon Dent

Proceedings Volume 8710, 87100A (2013) https://doi.org/10.1117/12.2016208

KEYWORDS: Plasma, Laser induced breakdown spectroscopy, Thermodynamics, Systems modeling, Ionization, Data modeling, Ions, Spectroscopy, Chemical analysis, Atmospheric plasma

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An engineering thermodynamic approach to the plasma description associated with Laser Induced Breakdown Spectroscopy (LIBS) has been previously published. In the prior work, a non-traditional modeling approach was made to reduce the modeling system to a configuration compatible with incorporation into a TI6701. This modeling technique was necessitated by the extreme limitations that portability and robustness place on the physical size and power consumption of the computer for data processing and classification. The new modeling approach was previously reported. This presentation reports on the finalization of this and the validation of the result through comparison to more established models such as detailed balance, via the solution to a system of Boltzmann Equations. The emphasis is on the engineering modeling and its’ system implications - not a physics tutorial. Implications of the modeling approximations for the accuracy and repeatability of the complete sensor system will be presented. Possible utilization of newer, larger scale processors and the impact that would have on the model and associate sensor performance is addressed.

Proceedings Article | 5 May 2012 Paper

Reduced LIBS plasma model via thermodynamics

Steven Griffin, Brandon Dent

Proceedings Volume 8358, 835812 (2012) https://doi.org/10.1117/12.919167

KEYWORDS: Plasma, Thermodynamics, Laser induced breakdown spectroscopy, Systems modeling, Digital signal processing, Classification systems, Sensors, Spectroscopy, Computing systems, Ionization

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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.

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