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

Fuente: arXiv

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Auteurs principaux:	Babiano-Suárez, V., Lerendegui-Marco, J., Balibrea-Correa, J., Caballero, L., Calvo, D., Ladarescu, I., Domingo-Pardo, C., Calviño, F., Casanovas, A., Tarifeño-Saldivia, A., Alcayne, V., Guerrero, C., Millán-Callado, M. A., González, M. T. Rodríguez, 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., Fern\', B., ez-Domínguez, 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., Krtička, 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, J., 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, Th., 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.
Format:	Preprint
Publié:	2020
Sujets:	Instrumentation and Detectors Instrumentation and Methods for Astrophysics Nuclear Experiment
Accès en ligne:	Acceder al recurso
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_version_	1866929545160949760
author	Babiano-Suárez, V. Lerendegui-Marco, J. Balibrea-Correa, J. Caballero, L. Calvo, D. Ladarescu, I. Domingo-Pardo, C. Calviño, F. Casanovas, A. Tarifeño-Saldivia, A. Alcayne, V. Guerrero, C. Millán-Callado, M. A. González, M. T. Rodríguez 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. Fern\', B. ez-Domínguez 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. Krtička, 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, J. 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, Th. 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.
author_facet	Babiano-Suárez, V. Lerendegui-Marco, J. Balibrea-Correa, J. Caballero, L. Calvo, D. Ladarescu, I. Domingo-Pardo, C. Calviño, F. Casanovas, A. Tarifeño-Saldivia, A. Alcayne, V. Guerrero, C. Millán-Callado, M. A. González, M. T. Rodríguez 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. Fern\', B. ez-Domínguez 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. Krtička, 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, J. 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, Th. 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.
contents	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 both $^{197}$Au($n,γ$) and $^{56}$Fe($n, γ$) reactions were measured at CERN n\_TOF using an i-TED demonstrator based on only three position-sensitive detectors. Two \cds detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of $\sim$3 higher detection sensitivity than state-of-the-art \cds detectors in the $\sim$10~keV neutron energy range 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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2012_10374
institution	arXiv
publishDate	2020
record_format	arxiv
spellingShingle	Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques Babiano-Suárez, V. Lerendegui-Marco, J. Balibrea-Correa, J. Caballero, L. Calvo, D. Ladarescu, I. Domingo-Pardo, C. Calviño, F. Casanovas, A. Tarifeño-Saldivia, A. Alcayne, V. Guerrero, C. Millán-Callado, M. A. González, M. T. Rodríguez 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. Fern\', B. ez-Domínguez 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. Krtička, 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, J. 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, Th. 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. Instrumentation and Detectors Instrumentation and Methods for Astrophysics Nuclear Experiment 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 both $^{197}$Au($n,γ$) and $^{56}$Fe($n, γ$) reactions were measured at CERN n\_TOF using an i-TED demonstrator based on only three position-sensitive detectors. Two \cds detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of $\sim$3 higher detection sensitivity than state-of-the-art \cds detectors in the $\sim$10~keV neutron energy range 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.
title	Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
topic	Instrumentation and Detectors Instrumentation and Methods for Astrophysics Nuclear Experiment
url	https://arxiv.org/abs/2012.10374