<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Monte Carlo toolkit for designing and validating step-range-filter spectrometer designs</titl><IDNo agency="DOI">doi:10.7910/DVN/ASSRPB</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2025-02-24</distDate></distStmt><verStmt source="archive"><version date="2025-02-24" type="RELEASED">1</version></verStmt><biblCit>T. M. Johnson, B. Lahmann, L. Russell, N. L. Vanderloo, M. J. Cufari, B. L. Reichelt, C. W. Chang, A. Birkel, N. V. Kabadi, G. D. Sutcliffe, P. J. Adrian, J. A. Pearcy, J. H. Kunimune, S. G. Dannhoff, T. E. Evans, M. Gatu Johnson, F. H. Séguin, R. D. Petrasso, C. K. Li, J. A. Frenje, 2025, "Monte Carlo toolkit for designing and validating step-range-filter spectrometer designs", https://doi.org/10.7910/DVN/ASSRPB, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Monte Carlo toolkit for designing and validating step-range-filter spectrometer designs</titl><IDNo agency="DOI">doi:10.7910/DVN/ASSRPB</IDNo></titlStmt><rspStmt><AuthEnty>T. M. Johnson, B. Lahmann, L. Russell, N. L. Vanderloo, M. J. Cufari, B. L. Reichelt, C. W. Chang, A. Birkel, N. V. Kabadi, G. D. Sutcliffe, P. J. Adrian, J. A. Pearcy, J. H. Kunimune, S. G. Dannhoff, T. E. Evans, M. Gatu Johnson, F. H. Séguin, R. D. Petrasso, C. K. Li, J. A. Frenje</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr></distStmt><holdings URI="https://doi.org/10.7910/DVN/ASSRPB"/></citation><stdyInfo><subject><keyword xml:lang="en">Physics</keyword><keyword>Computer Simulation</keyword><keyword>Energy data</keyword><keyword>fusion experiments</keyword><keyword>ion accelerator</keyword><keyword>Measuring instruments</keyword><keyword>Monte Carlo methods</keyword><keyword>Nuclear reactions and processes</keyword><keyword>spectroscopy</keyword></subject><abstract>Here, we present a Monte-Carlo toolkit for validating step range filter (SRF) spectrometer designs. Geant4 is used to transport charged particles through the SRF filters to generate synthetic SRF data which include realistic CR-39 effects. Synthetic SRF spectra generated by this method inherently account for instrument response and allow for the quantification of SRF performance before shots. The usefulness of this toolkit is demonstrated through its application to a number of problems. A new broadband SRF for the ∼10 MeV wide 3He3He proton spectrum is validated and an analysis method for analyzing 3He3He-p SRF data that accounts for instrument response is put forth. In addition, an SRF design for the compact recoil-proton spectrometer (CRS) on the Z-machine is validated. 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