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Imaging neutron capture cross sections : i-TED proof-of-concept and future prospects based on Machine-Learning techniques. / nTOF Collaboration.

In: European Physical Journal A, Vol. 57, No. 6, 197, 17.06.2021.

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@article{5329b656c0b84e7da6146af8b7e3bbad,
title = "Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques",
abstract = "i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in (n, γ) cross-section measurements using time-of-flight technique. This work presents the first experimental validation of the i-TED apparatus for high-resolution time-of-flight experiments and demonstrates for the first time the concept proposed for background rejection. To this aim, the 197Au(n, γ) and 56Fe(n, γ) reactions were studied at CERN n_TOF using an i-TED demonstrator based on three position-sensitive detectors. Two C6D6 detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of ∼ 3 higher detection sensitivity than state-of-the-art C6D6 detectors in the 10 keV neutron-energy region of astrophysical interest. This paper explores also the perspectives of further enhancement in performance attainable with the final i-TED array consisting of twenty position-sensitive detectors and new analysis methodologies based on Machine-Learning techniques.",
author = "{nTOF Collaboration} and V. Babiano-Su{\'a}rez and J. Lerendegui-Marco and J. Balibrea-Correa and L. Caballero and D. Calvo and I. Ladarescu and D. Real and C. Domingo-Pardo and F. Calvi{\~n}o and A. Casanovas and A. Tarife{\~n}o-Saldivia and V. Alcayne and C. Guerrero and Mill{\'a}n-Callado, {M. A.} and T. Rodr{\'i}guez-Gonz{\'a}lez and M. Barbagallo and O. Aberle and S. Amaducci and J. Andrzejewski and L. Audouin and M. Bacak and S. Bennett and E. Berthoumieux and J. Billowes and D. Bosnar and A. Brown and M. Busso and M. Caama{\~n}o and M. Calviani and D. Cano-Ott and F. Cerutti and E. Chiaveri and N. Colonna and G. Cort{\'e}s and Cort{\'e}s-Giraldo, {M. A.} and L. Cosentino and S. Cristallo and Damone, {L. A.} and Davies, {P. J.} and M. Diakaki and M. Dietz and R. Dressler and Q. Ducasse and E. Dupont and I. Dur{\'a}n and Z. Eleme and B. Fern{\'a}ndez-Dom{\'i}nguez and A. Ferrari and P. Finocchiaro and T. Rauscher",
note = "Funding Information: This work has been carried out in the framework of a project funded by the European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation programme (ERC Consolidator Grant project HYMNS, with grant agreement No.?681740). The authors acknowledge support from the Spanish Ministerio de Ciencia e Innovaci?n under grants PID2019-104714GB-C21, FPA2017-83946-C2-1-P, FIS2015-71688-ERC, CSIC for funding PIE-201750I26, and the funding agencies of the participating institutes. We would like to thank the crew at the Electronics Laboratory of IFIC, in particular Manuel Lopez Redondo and Jorge N?cher Ar?ndiga for their excellent and efficient work. Funding Information: This work has been carried out in the framework of a project funded by the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (ERC Consolidator Grant project HYMNS, with grant agreement No. 681740). The authors acknowledge support from the Spanish Ministerio de Ciencia e Innovaci{\'o}n under grants PID2019-104714GB-C21, FPA2017-83946-C2-1-P, FIS2015-71688-ERC, CSIC for funding PIE-201750I26, and the funding agencies of the participating institutes. We would like to thank the crew at the Electronics Laboratory of IFIC, in particular Manuel Lopez Redondo and Jorge N{\'a}cher Ar{\'a}ndiga for their excellent and efficient work. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Societ{\`a} Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = jun,
day = "17",
doi = "10.1140/epja/s10050-021-00507-7",
language = "English",
volume = "57",
journal = "European Physical Journal A: Hadrons and Nuclei",
issn = "1434-6001",
publisher = "Springer New York",
number = "6",

}

RIS

TY - JOUR

T1 - Imaging neutron capture cross sections

T2 - i-TED proof-of-concept and future prospects based on Machine-Learning techniques

AU - nTOF Collaboration

AU - Babiano-Suárez, V.

AU - Lerendegui-Marco, J.

AU - Balibrea-Correa, J.

AU - Caballero, L.

AU - Calvo, D.

AU - Ladarescu, I.

AU - Real, D.

AU - Domingo-Pardo, C.

AU - Calviño, F.

AU - Casanovas, A.

AU - Tarifeño-Saldivia, A.

AU - Alcayne, V.

AU - Guerrero, C.

AU - Millán-Callado, M. A.

AU - Rodríguez-González, T.

AU - Barbagallo, M.

AU - Aberle, O.

AU - Amaducci, S.

AU - Andrzejewski, J.

AU - Audouin, L.

AU - Bacak, M.

AU - Bennett, S.

AU - Berthoumieux, E.

AU - Billowes, J.

AU - Bosnar, D.

AU - Brown, A.

AU - Busso, M.

AU - Caamaño, M.

AU - Calviani, M.

AU - Cano-Ott, D.

AU - Cerutti, F.

AU - Chiaveri, E.

AU - Colonna, N.

AU - Cortés, G.

AU - Cortés-Giraldo, M. A.

AU - Cosentino, L.

AU - Cristallo, S.

AU - Damone, L. A.

AU - Davies, P. J.

AU - Diakaki, M.

AU - Dietz, M.

AU - Dressler, R.

AU - Ducasse, Q.

AU - Dupont, E.

AU - Durán, I.

AU - Eleme, Z.

AU - Fernández-Domínguez, B.

AU - Ferrari, A.

AU - Finocchiaro, P.

AU - Rauscher, T.

N1 - Funding Information: This work has been carried out in the framework of a project funded by the European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation programme (ERC Consolidator Grant project HYMNS, with grant agreement No.?681740). The authors acknowledge support from the Spanish Ministerio de Ciencia e Innovaci?n under grants PID2019-104714GB-C21, FPA2017-83946-C2-1-P, FIS2015-71688-ERC, CSIC for funding PIE-201750I26, and the funding agencies of the participating institutes. We would like to thank the crew at the Electronics Laboratory of IFIC, in particular Manuel Lopez Redondo and Jorge N?cher Ar?ndiga for their excellent and efficient work. Funding Information: This work has been carried out in the framework of a project funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC Consolidator Grant project HYMNS, with grant agreement No. 681740). The authors acknowledge support from the Spanish Ministerio de Ciencia e Innovación under grants PID2019-104714GB-C21, FPA2017-83946-C2-1-P, FIS2015-71688-ERC, CSIC for funding PIE-201750I26, and the funding agencies of the participating institutes. We would like to thank the crew at the Electronics Laboratory of IFIC, in particular Manuel Lopez Redondo and Jorge Nácher Arándiga for their excellent and efficient work. Publisher Copyright: © 2021, The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/6/17

Y1 - 2021/6/17

N2 - i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in (n, γ) cross-section measurements using time-of-flight technique. This work presents the first experimental validation of the i-TED apparatus for high-resolution time-of-flight experiments and demonstrates for the first time the concept proposed for background rejection. To this aim, the 197Au(n, γ) and 56Fe(n, γ) reactions were studied at CERN n_TOF using an i-TED demonstrator based on three position-sensitive detectors. Two C6D6 detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of ∼ 3 higher detection sensitivity than state-of-the-art C6D6 detectors in the 10 keV neutron-energy region of astrophysical interest. This paper explores also the perspectives of further enhancement in performance attainable with the final i-TED array consisting of twenty position-sensitive detectors and new analysis methodologies based on Machine-Learning techniques.

AB - i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in (n, γ) cross-section measurements using time-of-flight technique. This work presents the first experimental validation of the i-TED apparatus for high-resolution time-of-flight experiments and demonstrates for the first time the concept proposed for background rejection. To this aim, the 197Au(n, γ) and 56Fe(n, γ) reactions were studied at CERN n_TOF using an i-TED demonstrator based on three position-sensitive detectors. Two C6D6 detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of ∼ 3 higher detection sensitivity than state-of-the-art C6D6 detectors in the 10 keV neutron-energy region of astrophysical interest. This paper explores also the perspectives of further enhancement in performance attainable with the final i-TED array consisting of twenty position-sensitive detectors and new analysis methodologies based on Machine-Learning techniques.

UR - http://www.scopus.com/inward/record.url?scp=85103664089&partnerID=8YFLogxK

U2 - 10.1140/epja/s10050-021-00507-7

DO - 10.1140/epja/s10050-021-00507-7

M3 - Article

AN - SCOPUS:85103664089

VL - 57

JO - European Physical Journal A: Hadrons and Nuclei

JF - European Physical Journal A: Hadrons and Nuclei

SN - 1434-6001

IS - 6

M1 - 197

ER -