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

Journal Article · · Review of Scientific Instruments
DOI:https://doi.org/10.1063/5.0218384· OSTI ID:2432343
 [1];  [1];  [1];  [1];  [1];  [2];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of California, San Diego, CA (United States)
+ Show Author Affiliations
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.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
2432343
Report Number(s):
LA-UR--24-24839
Journal Information:
Review of Scientific Instruments, Journal Name: Review of Scientific Instruments Journal Issue: 8 Vol. 95; ISSN 0034-6748
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

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Figures / Tables (3)

FIG. 1(p. 4)figure FIG. 1
FIG. 2(p. 6)figure FIG. 2
FIG. 3(p. 6)figure FIG. 3

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