Accurate pulse time distribution determination using MLEM algorithm in integral experiments

Integral experiments play a crucial role in advancing nuclear science and technology by providing critical data that validate theoretical models and enhance reactor designs. This study presents a novel approach to accurately determine pulse time distribution in integral experiments conducted with pu...

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Main Authors: S.Y. Zhang, Y.B. Nie, Y.Y. Ding, Q. Zhao, K.Z. Xu, X.Y. Pan, H.T. Chen, Q. Sun, Z. Wei
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Nuclear Engineering and Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S173857332400439X
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author S.Y. Zhang
Y.B. Nie
Y.Y. Ding
Q. Zhao
K.Z. Xu
X.Y. Pan
H.T. Chen
Q. Sun
Z. Wei
author_facet S.Y. Zhang
Y.B. Nie
Y.Y. Ding
Q. Zhao
K.Z. Xu
X.Y. Pan
H.T. Chen
Q. Sun
Z. Wei
author_sort S.Y. Zhang
collection DOAJ
description Integral experiments play a crucial role in advancing nuclear science and technology by providing critical data that validate theoretical models and enhance reactor designs. This study presents a novel approach to accurately determine pulse time distribution in integral experiments conducted with pulsed accelerators. By strategically placed monitors and shields at angles of 0° and 90° relative to the beam direction, neutron flight times from the target are measured, and a response matrix for neutron emission at different times is constructed through simulation. The Maximum Likelihood Expectation Maximization (MLEM) algorithm is employed for pulse time reconstruction, with the gamma ray flight time spectrum from monitors used as the initial spectrum to streamline the computational process. Experimental validation using a standard polyethylene sample and n-p scattering cross-sections confirms the accuracy of the method. Results are compared across multiple nuclear databases such as CENDL-3.2, ENDF/B-VIII.0, JENDL-5.0, and JEFF-3.3 libraries. The developed method significantly enhances the precision of pulse time distribution determination, thereby improving the quality and reliability of experimental data obtained from integral experiments conducted with pulsed accelerators.
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id doaj-art-81505a6ceaf044e6b2fe028c75d96b2c
institution Kabale University
issn 1738-5733
language English
publishDate 2025-02-01
publisher Elsevier
record_format Article
series Nuclear Engineering and Technology
spelling doaj-art-81505a6ceaf044e6b2fe028c75d96b2c2025-01-31T05:11:04ZengElsevierNuclear Engineering and Technology1738-57332025-02-01572103191Accurate pulse time distribution determination using MLEM algorithm in integral experimentsS.Y. Zhang0Y.B. Nie1Y.Y. Ding2Q. Zhao3K.Z. Xu4X.Y. Pan5H.T. Chen6Q. Sun7Z. Wei8Key Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, China; School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, China; School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Corresponding author. Key Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, China.Key Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, ChinaSchool of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, ChinaIntegral experiments play a crucial role in advancing nuclear science and technology by providing critical data that validate theoretical models and enhance reactor designs. This study presents a novel approach to accurately determine pulse time distribution in integral experiments conducted with pulsed accelerators. By strategically placed monitors and shields at angles of 0° and 90° relative to the beam direction, neutron flight times from the target are measured, and a response matrix for neutron emission at different times is constructed through simulation. The Maximum Likelihood Expectation Maximization (MLEM) algorithm is employed for pulse time reconstruction, with the gamma ray flight time spectrum from monitors used as the initial spectrum to streamline the computational process. Experimental validation using a standard polyethylene sample and n-p scattering cross-sections confirms the accuracy of the method. Results are compared across multiple nuclear databases such as CENDL-3.2, ENDF/B-VIII.0, JENDL-5.0, and JEFF-3.3 libraries. The developed method significantly enhances the precision of pulse time distribution determination, thereby improving the quality and reliability of experimental data obtained from integral experiments conducted with pulsed accelerators.http://www.sciencedirect.com/science/article/pii/S173857332400439XPulse time distributionMLEM algorithmIntegral experiment
spellingShingle S.Y. Zhang
Y.B. Nie
Y.Y. Ding
Q. Zhao
K.Z. Xu
X.Y. Pan
H.T. Chen
Q. Sun
Z. Wei
Accurate pulse time distribution determination using MLEM algorithm in integral experiments
Nuclear Engineering and Technology
Pulse time distribution
MLEM algorithm
Integral experiment
title Accurate pulse time distribution determination using MLEM algorithm in integral experiments
title_full Accurate pulse time distribution determination using MLEM algorithm in integral experiments
title_fullStr Accurate pulse time distribution determination using MLEM algorithm in integral experiments
title_full_unstemmed Accurate pulse time distribution determination using MLEM algorithm in integral experiments
title_short Accurate pulse time distribution determination using MLEM algorithm in integral experiments
title_sort accurate pulse time distribution determination using mlem algorithm in integral experiments
topic Pulse time distribution
MLEM algorithm
Integral experiment
url http://www.sciencedirect.com/science/article/pii/S173857332400439X
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