Reduced-order model to approximate response matrices for filter stack spectrometers-Reference-Cited by-同舟云学术

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

Published:2024-08-01 Issue:8 Volume:95 Page:
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:

Author:

Wong C.-S.¹^ORCID,Luedtke S. V.¹^ORCID,Broughton D. P.¹^ORCID,Strehlow J.¹^ORCID,Alvarado Alvarez M.¹^ORCID,Bogale A.¹²^ORCID,Huang C.-K.¹^ORCID,Wolfe B.¹^ORCID,Schmidt T. R.¹^ORCID,Reinovsky R. E.¹,Albright B. J.¹^ORCID,Batha S. H.¹^ORCID,Palaniyappan S.¹

Affiliation:

1. Los Alamos National Laboratory 1 , Los Alamos, New Mexico 87545, USA

2. Center for Energy Research, University of California—San Diego 2 , La Jolla, California 92093, USA

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.

Funder

U.S. Department of Energy

Laboratory Directed Research and Development

Publisher

AIP Publishing

Link

https://pubs.aip.org/aip/rsi/article-pdf/doi/10.1063/5.0218384/20102171/083303_1_5.0218384.pdf

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