Dr. Allen R. Curran Profile

Dr. Allen R. Curran

at ThermoAnalytics Inc

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Author

Publications (5)

Proceedings Article | 12 May 2015 Paper

Simulation-based sensor modeling and at-range target detection characterization with MuSES

Corey Packard, Allen Curran, Nicholas Saur, Peter Rynes

Proceedings Volume 9452, 94520F (2015) https://doi.org/10.1117/12.2177310

KEYWORDS: Sensors, Target detection, Modulation transfer functions, Image sensors, Palladium, Thermography, Diffraction, Image processing, Infrared radiation, Atmospheric sensing

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Proceedings Article | 11 April 2008 Paper

Hyperspectral extensions in the MuSES signature code

Wellesley Pereira, David Less, Leonard Rodriguez, Allen Curran, Uri Bernstein, Yit-Tsi Kwan

Proceedings Volume 6965, 69650B (2008) https://doi.org/10.1117/12.783933

KEYWORDS: Sensors, Infrared signatures, Hyperspectral imaging, Bidirectional reflectance transmission function, Thermography, Thermal modeling, Image sensors, Infrared imaging, Hyperspectral simulation, Infrared sensors

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Proceedings Article | 4 May 2006 Paper

Integrating CameoSim and MuSES to support vehicle-terrain interaction in an IR synthetic scene

Allen Curran, John Curlee

Proceedings Volume 6239, 62390E (2006) https://doi.org/10.1117/12.665757

KEYWORDS: Thermal modeling, Electro optical modeling, Infrared signatures, Chemical elements, 3D modeling, Thermography, 3D acquisition, Scene simulation, Systems modeling, Data modeling

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Proceedings Article | 24 July 2000 Paper

Ground target infrared signature modeling with the multiservice electro-optic signature (MuSES) code

Jeffrey Sanders, Keith Johnson, Allen Curran, Peter Rynes

Proceedings Volume 4029, (2000) https://doi.org/10.1117/12.392527

KEYWORDS: Electro optical modeling, Thermal modeling, Infrared signatures, Prisms, Computer aided design, Solid modeling, Process modeling, Electro optics, Data modeling, Chemical elements

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With an increased reliance on modeling and simulation in the defense community a requirement has developed for improved ground target infrared signature prediction capabilities. Predictive ground target infrared signature modeling has traditionally been done using the Physically Reasonable Infrared Signature Model (PRISM). The PRISM code has been used extensively in support of signature management for vehicle designers as well as other applications. The intended replacement for PRISM, the Multi-Service Electro-optic Signature (MuSES) code, has recently been developed and offers increased capabilities and ease of use. Until recently, IR/thermal signature analysis suffered from a disparity between the geometry required to predict signatures and the geometry used to design vehicles. The solution to the IR geometry problem was the development of MuSES, which uses meshed CAD geometry. MuSES is a rapid prototyping thermal design tool and an infrared signature prediction tool. To restore modularity lost over ten years of PRISM evolution, a new object-oriented thermal solver was created. The solver incorporates numerous advanced features including a net enclosure method for radiation, CFD interface, restart/seed capability, batch mode, and alternate solution strategies (such as the partial direct solution method). The MuSES interface is optimized for engineers/analysts who need to incorporate signature management treatments or heat management solutions into vehicle designs. Topics covered by this paper include a detailed description of the MuSES code and its capabilities, as well as multiple examples of model creation. The geometry modeling paradigm for the MuSES code represents a radical shift in how a vehicle model is created for the purpose of infrared signature modeling. The model creation examples are presented to demonstrate the tools and techniques used as well as to convey lessons learned to potential users in proper geometry modeling and meshing techniques.

Proceedings Article | 15 November 1993 Paper

Development of a signature supercode

Keith Johnson, Allen Curran, Teresa Gonda

Proceedings Volume 1938, (1993) https://doi.org/10.1117/12.161557

KEYWORDS: Thermal modeling, Prisms, Systems modeling, Infrared signatures, Data modeling, Visual process modeling, Visualization, Solid modeling, Sensors, Computer aided design

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