Reduced-order model to approximate response matrices for filter stack spectrometers
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.
Authors
- David Broughton (ORCID: https://orcid.org/0000-0003-4700-8133)
- Bradley T. Wolfe (ORCID: https://orcid.org/0000-0002-6830-1614)
- J. Strehlow (ORCID: https://orcid.org/0000-0001-5576-0945)
- S. H. Batha
- A. Bogale (ORCID: https://orcid.org/0000-0003-0601-1512)
- Scott V. Luedtke (ORCID: https://orcid.org/0000-0003-1670-2835)
- S. Palaniyappan (ORCID: https://orcid.org/0000-0001-6377-1206)
- Chun-Shang Wong (ORCID: https://orcid.org/0000-0002-2698-7208)
- R.E. Reinovsky (ORCID: https://orcid.org/0000-0001-5496-9915)
- B. J. Albright (ORCID: https://orcid.org/0000-0002-7789-6525)
- Chengkun Huang
- Mariana Alvarado Alvarez (ORCID: https://orcid.org/0009-0007-8358-6711)
- Thomas Schmidt (ORCID: https://orcid.org/0000-0001-9577-0910)
Institutions
- Los Alamos National Laboratory (US)
- University of California San Diego (US)
Publication Details
- Journal
- Review of Scientific Instruments
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1063/5.0218384
- Citations
- 1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.66
Funders
- U.S. Department of Energy
- National Nuclear Security Administration
- Laboratory Directed Research and Development
- Los Alamos National Laboratory