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Particle identification and analysis in the SciCRT using ma..:
Garcia, R.
;
Anzorena, M.
;
Valdés-Galicia, J.F.
...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1003 (2021) - p. 165326 , 2021
Link:
https://doi.org/10.1016/j.nima.2021.165326
RT Journal T1 <Title>Particle identification and analysis in the SciCRT using machine learning tools</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.nima.2021.165326&Exemplar=1&LAN=DE A1 Garcia, R. A1 Anzorena, M. A1 Valdés-Galicia, J.F. A1 Matsubara, Y. A1 Sako, T. A1 Ortiz, E. A1 Hurtado, A. A1 Taylor, R. A1 Musalem, O. A1 González, L.X. A1 Itow, Y. A1 Kawabata, T. A1 Munakata, K. A1 Kato, C. A1 Kihara, W. A1 Ko, Y. A1 Shibata, S. A1 Takamaru, H. A1 Oshima, A. A1 Koi, T. A1 Kojima, H. A1 Tsuchiya, H. A1 Watanabe, K. A1 Kozai, M. A1 Nakamura, Y. PB Elsevier BV YR 2021 SN 0168-9002 JF Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment VO 1003 SP 165326 LK http://dx.doi.org/https://doi.org/10.1016/j.nima.2021.165326 DO https://doi.org/10.1016/j.nima.2021.165326 SF ELIB - SuUB Bremen
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