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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.
Afiliación
  • Wong CS; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Luedtke SV; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Broughton DP; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Strehlow J; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Alvarado Alvarez M; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Bogale A; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Huang CK; Center for Energy Research, University of California-San Diego, La Jolla, California 92093, USA.
  • Wolfe B; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Schmidt TR; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Reinovsky RE; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Albright BJ; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Batha SH; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Palaniyappan S; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
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.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Rev Sci Instrum Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Rev Sci Instrum Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos