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DOE OSTI · 2532510

Background subtraction in inelastic scattering measurements using machine learning

Ghimire, R. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000251418269)·Ratkiewicz, A. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Pain, S. D. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)]·Chipps, K. A. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)]·Cizewski, J. A. [Rutgers Univ., New Brunswick, NJ (United States)] (ORCID:0000000195668545)·Jones, K. L. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000173351379)·Bedrossian, P. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Carmichael, S. R. [University of Notre Dame, IN (United States)] (ORCID:0000000274541876)·Garland, H. [Rutgers Univ., New Brunswick, NJ (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0009000699544818)·Müller-Gatermann, Claus [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000291815568)·Hughes, R. O. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Jayatissa, H. [Argonne National Laboratory (ANL), Argonne, IL (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]·Kolos, K. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Kovoor, J. M. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000154945446)·Kyle, A. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000238447540)·Reviol, W. [Argonne National Laboratory (ANL), Argonne, IL (United States)]·Richard, A. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Ohio Univ., Athens, OH (United States)] (ORCID:000000018308688X)·Scielzo, N. D. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000349766552)·Siciliano, M. [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000245980298)·Sims, H. [Rutgers Univ., New Brunswick, NJ (United States)]·Ummel, C. C. [Rutgers Univ., New Brunswick, NJ (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000343567317)·Williams, M. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of Surrey, Guildford (United Kingdom)]·Wilson, G. L. [Argonne National Laboratory (ANL), Argonne, IL (United States); Louisiana State Univ., Baton Rouge, LA (United States)]·Zhu, S. [Brookhaven National Laboratory (BNL), Upton, NY (United States)]
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Abstract

Identifying, isolating, and subtracting background from the signal of interest is vital for nuclear physics experiments. These backgrounds introduce unwanted uncertainties that must be accounted for properly to extract accurate results from the signals. In nuclear reaction measurements, the typical contaminants are carbon and oxygen, contributing to background signals, and complicating the measurement of the light ejectiles. For instance, in the inelastic scattering measurement of a 20.9-MeV proton beam on 96 Mo, the 96 Mo target was contaminated with carbon and oxygen. Here, we used random forest, a machine learning algorithm commonly used for classification and regression tasks, to separate the inelastic scattering on the carbon and oxygen contaminants from the data of interest resulting from 96 Mo(p, p').

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46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGYBackground SubtractionBackground subtractionInelastic ScatteringInelastic scatteringMachine LearningMachine learningNuclear science and engineering, Engineering - Instrumentation related to nuclear science and technology, Physics - Nuclear physics and radiation physics, PhysicsRandom ForestRandom forestbackground subtractioninelastic scatteringmachine learningnuclear physics and radiation physicsnuclear science and engineeringrandom forest

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Ghimire, R. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000251418269), Ratkiewicz, A. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Pain, S. D. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)], Chipps, K. A. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)], Cizewski, J. A. [Rutgers Univ., New Brunswick, NJ (United States)] (ORCID:0000000195668545), Jones, K. L. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000173351379), Bedrossian, P. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Carmichael, S. R. [University of Notre Dame, IN (United States)] (ORCID:0000000274541876), Garland, H. [Rutgers Univ., New Brunswick, NJ (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0009000699544818), Müller-Gatermann, Claus [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000291815568), Hughes, R. O. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Jayatissa, H. [Argonne National Laboratory (ANL), Argonne, IL (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Kolos, K. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Kovoor, J. M. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000154945446), Kyle, A. [Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000238447540), Reviol, W. [Argonne National Laboratory (ANL), Argonne, IL (United States)], Richard, A. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Ohio Univ., Athens, OH (United States)] (ORCID:000000018308688X), Scielzo, N. D. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000349766552), Siciliano, M. [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000245980298), Sims, H. [Rutgers Univ., New Brunswick, NJ (United States)], Ummel, C. C. [Rutgers Univ., New Brunswick, NJ (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000343567317), Williams, M. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of Surrey, Guildford (United Kingdom)], Wilson, G. L. [Argonne National Laboratory (ANL), Argonne, IL (United States); Louisiana State Univ., Baton Rouge, LA (United States)], Zhu, S. [Brookhaven National Laboratory (BNL), Upton, NY (United States)]. 2025-02-17. Background subtraction in inelastic scattering measurements using machine learning. https://doi.org/10.1016/j.nimb.2025.165649

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