Reduced-order model to approximate response matrices for filter stack spectrometers.
Rev Sci Instrum
; 95(8)2024 Aug 01.
Article
en En
| MEDLINE
| ID: mdl-39115399
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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Bases de datos:
MEDLINE
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En
Revista:
Rev Sci Instrum
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos