Título Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
Autores Babiano-Suárez V. , Lerendegui-Marco J. , Balibrea-Correa J. , Caballero L. , Calvo D. , Ladarescu I. , Real D. , Domingo-Pardo C. , Calviño F. , Casanovas A. , Tarifeño-Saldivia A. , Alcayne V. , Guerrero C. , Millán-Callado M.A. , Rodríguez-González T. , Barbagallo M. , Aberle O. , Amaducci S. , Andrzejewski J. , Audouin L. , Bacak M. , Bennett S. , Berthoumieux E. , Billowes J. , Bosnar D. , Brown A. , Busso M. , Caamaño M. , Calviani M. , Cano-Ott D. , Cerutti F. , Chiaveri E. , Colonna N. , Cortés G. , Cortés-Giraldo M.A. , Cosentino L. , Cristallo S. , Damone L.A. , Davies P.J. , Diakaki M. , Dietz M. , Dressler R. , Ducasse Q. , Dupont E. , Durán I. , Eleme Z. , Fernández-Domínguez B. , Ferrari A. , Finocchiaro P. , Furman V. , Göbel K. , Garg R. , Gawlik A. , Gilardoni S. , Gonçalves I.F. , González-Romero E. , Gunsing F. , Harada H. , Heinitz S. , Heyse J. , Jenkins D.G. , Junghans A. , Käppeler F. , Kadi Y. , Kimura A. , Knapova I. , Kokkoris M. , Kopatch Y. , Krticka M. , Kurtulgil D. , Lederer-Woods C. , Leeb H. , Lonsdale S.J. , Macina D. , Manna A. , Martinez T. , Masi A. , Massimi C. , Mastinu P. , Mastromarco M. , Maugeri E.A. , Mazzone A. , Mendoza E. , Mengoni A. , Michalopoulou V. , Milazzo P.M. , Mingrone F. , MORENO SOTO, JAVIER, Musumarra A. , Negret A. , Ogállar F. , Oprea A. , Patronis N. , Pavlik A. , Perkowski J. , Persanti L. , Petrone C. , Pirovano E. , Porras I. , Praena J. , Quesada J.M. , Ramos-Doval D. , Rauscher T. , Reifarth R. , Rochman D. , Rubbia C. , Sabaté-Gilarte M. , Saxena A. , Schillebeeckx P. , Schumann D. , Sekhar A. , Smith A.G. , Sosnin N.V. , Sprung P. , Stamatopoulos A. , Tagliente G. , Tain J.L. , Tassan-Got L. , Thomas T. , Torres-Sánchez P. , Tsinganis A. , Ulrich J. , Urlass S. , Valenta S. , Vannini G. , Variale V. , Vaz P. , Ventura A. , Vescovi D. , Vlachoudis V. , Vlastou R. , Wallner A. , Woods P.J. , Wright T. , Žugec P.
Publicación externa No
Medio Eur. Phys. J. A
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 3.131
Impacto SJR 0.958
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103664089&doi=10.1140%2fepja%2fs10050-021-00507-7&partnerID=40&md5=31c3c1b39900b1f9a95f746015642fc1
Fecha de publicacion 01/01/2021
Scopus Id 2-s2.0-85103664089
DOI 10.1140/epja/s10050-021-00507-7
Abstract i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in (n, ?) 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, ?) and 56Fe(n, ?) 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. © 2021, The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
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