Software for Optimizing Filter Stack Spectrometer Design and Unfolding Spectra
POSTER
Abstract
In this poster, we present a software suite for 1) characterizing FSS designs and 2) unfolding spectra from raw FSS data. Unfolding spectra from filter-stack spectrometers requires a detailed response matrix---the average energy deposited in each image plate per incident photon at a certain energy. In principle, the same unfolding algorithms can work for other detectors such as scintillators. We provide scripts and analysis tools that automate the creation of a response matrix using the particle transport code MCNP. We additionally provide software that, given a response matrix and raw FSS data, performs the unfold using a new perturbative minimization algorithm and produces a spectrum. This software is planned for open source release.
Publication: Wong, C-S., et al. "Reduced-order model to approximate response matrices for filter stack spectrometers." Review of Scientific Instruments 95.8 (2024).
Presenters
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Scott V Luedtke
Los Alamos National Laboratory (LANL)
Authors
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Scott V Luedtke
Los Alamos National Laboratory (LANL)
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Chun-Shang Wong
Los Alamos National Laboratory (LANL)
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Joseph Strehlow
Los Alamos National Laboratory (LANL)
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Alemayehu S Bogale
University of California, San Diego
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Avneet Sood
Los Alamos National Lab
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Lin Yin
Los Alamos National Laboratory (LANL)
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Brian James Albright
Los Alamos National Laboratory (LANL)