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

  • V. Babiano-Suarez
  • , J. Lerendegui-Marco
  • , J. Balibrea-Correa
  • , L. Caballero
  • , D. Calvo
  • , I. Ladarescu
  • , D. Real
  • , C. Domingo-Pardo
  • , F. Calvino
  • , A. Casanovas
  • , A. Tarifeno-Saldivia
  • , V. Alcayne
  • , C. Guerrero
  • , M.A. Millan-Callado
  • , T. Rodriguez-Gonzalez
  • , M. Barbagallo
  • , O. Aberle
  • , S. Amaducci
  • , J. Andrzejewski
  • , L. Audouin
  • M. Bacak, S. Bennett, E. Berthoumieux, J. Billowes, D. Bosnar, A. Brown, M. Busso, M. Caamano, M. Calviani, D. Cano-Ott, F. Cerutti, E. Chiaveri, N. Colonna, G. Cortes, M.A. Cortes-Giraldo, L. Cosentino, S. Cristallo, L.A. Damone, P.J. Davies, M. Diakaki, M. Dietz, R. Garg, D.G. Jenkins, T. Martinez, A. Saxena, A. Sekhar, A.G. Smith, N.V. Sosnin, P.J. Woods, Tobias Wright, The n_TOF Collaboration

Research output: Contribution to journalArticlepeer-review

Abstract


Original languageEnglish
Pages (from-to)197
Number of pages1
JournalEuropean Physical Journal A. Hadrons and Nuclei
Volume57
DOIs
Publication statusPublished - 17 Jun 2021

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