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DOE OSTI · 2432343

Reduced-order model to approximate response matrices for filter stack spectrometers

Wong, C. -S.·Luedtke, S. V.·Broughton, D. P.·Strehlow, J.·Alvarado Alvarez, M.·Bogale, A.·Huang, C. -K.·Wolfe, B.·Schmidt, T. R.·Reinovsky, R. E.·Albright, B. J.·Batha, S. H.·Palaniyappan, S.
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Abstract

We present a reduced-order model to calculate response matrices rapidly for filter stack spectrometers (FSSs). The reduced-order model allows response matrices to be built modularly from a set of pre-computed photon and electron transport and scattering calculations through various filter and detector materials. While these modular response matrices are not appropriate for high-fidelity analysis of experimental data, they encode sufficient physics to be used as a forward model in design optimization studies of FSSs, particularly for machine learning approaches that require sampling and testing a large number of FSS designs.

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Wong, C. -S., Luedtke, S. V., Broughton, D. P., Strehlow, J., Alvarado Alvarez, M., Bogale, A., Huang, C. -K., Wolfe, B., Schmidt, T. R., Reinovsky, R. E., Albright, B. J., Batha, S. H., Palaniyappan, S.. 2024-08-08. Reduced-order model to approximate response matrices for filter stack spectrometers. https://doi.org/10.1063/5.0218384

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