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Author  |
Zugec, P.; Sabate-Gilarte, M.; Bacak, M.; Vlachoudis, V.; Casanovas, A.; Garcia-Infantes, F. |
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Title |
Machine learning based parametrization of the resolution function for the first experimental area of the n_TOF facility at CERN |
Type |
Journal Article |
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Year |
2025 |
Publication |
Nuclear Science and Techniques |
Abbreviated Journal |
Nucl. Sci. Tech. |
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Volume |
36 |
Issue |
12 |
Pages |
235 - 13pp |
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Keywords |
n_TOF facility; Resolution function; Machine learning; Neutron time of flight |
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Abstract |
This study addresses a challenge of parametrizing a resolution function of a neutron beam from the neutron time of flight facility nTOF at CERN. A difficulty stems from a fact that a resolution function exhibits rather strong variations in shape, over approximately ten orders of magnitude in neutron energy. To avoid a need for a manual identification of the appropriate analytical forms-hindering past attempts at its parametrization-we take advantage of the versatile machine learning techniques. Specifically, we parametrized it by training a multilayer feedforward neural network, relying on a key idea that such network acts as a universal approximator. The proof-of-concept is presented for a resolution function for the first experimental area of the nTOF facility from the third phase of its operation. We propose an optimal network structure for a resolution function in question, which is also expected to be optimal or near-optimal for other experimental areas and for different phases of n_TOF operation. To reconstruct several resolution function forms in common use from a single parametrized form, we provide a practical tool in the form of a specialized C++ class encapsulating the computationally efficient procedures suited to the task. |
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Address |
[Zugec, Petar] Univ Zagreb, Dept Phys, Fac Sci, Bijenicka Cesta 32, Zagreb 10000, Croatia, Email: petar.zugec@cern.ch |
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Publisher |
Springer Singapore Pte Ltd |
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Language |
English |
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ISSN |
1001-8042 |
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Notes |
WOS:001591251700001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
6890 |
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