https://doi.org/10.1140/epja/s10050-021-00507-7
Special Article - New Tools and Techniques
Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
1
Instituto de Física Corpuscular, CSIC-University of Valencia, Valencia, Spain
2
Universitat Politecnica de Catalunya (UPC), Barcelona, Spain
3
Centro de Investigaciones Energtéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain
4
Dpto. Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41012, Seville, Spain
5
Centro Nacional de Aceleradores(CNA), Seville, Spain
6
European Organization for Nuclear Research (CERN), Meyrin, Switzerland
7
Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy
8
INFN Laboratori Nazionali del Sud, Catania, Italy
9
Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
10
University of Lodz, Lodz, Poland
11
Institut de Physique Nucléaire, CNRS-IN2P3, Univ. Paris-Sud, Université Paris-Saclay, 91406, Orsay Cedex, France
12
Technische Universität Wien, Wien, Austria
13
CEA Irfu, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
14
University of Manchester, Manchester, UK
15
Department of Physics, Faculty of Science, University of Zagreb, Zagreb, Croatia
16
University of York, York, UK
17
Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Italy
18
Dipartimento di Fisica e Geologia, Università di Perugia, Perugia, Italy
19
University of Santiago de Compostela, Santiago de Compostela, Spain
20
Istituto Nazionale di Astrofisica-Osservatorio Astronomico di Teramo, Teramo, Italy
21
Dipartimento di Fisica, Università degli Studi di Bari, Bari, Italy
22
National Technical University of Athens, Athens, Greece
23
School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK
24
Paul Scherrer Institut (PSI), Villingen, Switzerland
25
Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116, Brunswick, Germany
26
University of Ioannina, Ioannina, Greece
27
Joint Institute for Nuclear Research (JINR), Dubna, Russia
28
Goethe University Frankfurt, Frankfurt, Germany
29
Instituto Superior Técnico, Lisbon, Portugal
30
Japan Atomic Energy Agency (JAEA), Tokai-mura, Japan
31
European Commission, Joint Research Centre, Geel, Retieseweg 111, 2440, Geel, Belgium
32
Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
33
Karlsruhe Institute of Technology, Campus North, IKP, 76021, Karlsruhe, Germany
34
Charles University, Prague, Czech Republic
35
Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Italy
36
Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy
37
Istituto Nazionale di Fisica Nucleare, Sezione di Legnaro, Italy
38
Consiglio Nazionale delle Ricerche, Bari, Italy
39
Agenzia nazionale per le nuove tecnologie (ENEA), Bologna, Italy
40
Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, Italy
41
Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
42
Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
43
University of Granada, Granada, Spain
44
University of Vienna, Faculty of Physics, Vienna, Austria
45
Department of Physics, University of Basel, Basel, Switzerland
46
Centre for Astrophysics Research, University of Hertfordshire, Hatfield, UK
47
Bhabha Atomic Research Centre (BARC), Mumbai, India
48
Australian National University, Canberra, Australia
Received:
3
February
2021
Accepted:
30
May
2021
Published online:
17
June
2021
i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in () 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
Au(
) and
Fe(
) reactions were studied at CERN n_TOF using an i-TED demonstrator based on three position-sensitive detectors. Two C
D
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 C
D
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.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021