%0 Journal Article
%A Kasagi, A.
%A Dou, W.
%A Drozd, V.
%A Ekawa, H.
%A Escrig, S.
%A Gao, Y.
%A He, Y.
%A Liu, E.
%A Muneem, A.
%A Nakagawa, M.
%A Nakazawa, K.
%A Rappold, C.
%A Saito, N.
%A Saito, T. R.
%A Sugimoto, S.
%A Taki, M.
%A Tanaka, Y. K.
%A Yanai, A.
%A Yoshida, J.
%A Yoshimoto, M.
%A Wang, H.
%A Saito, Takehiko
%T Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning
%J Nuclear instruments & methods in physics research / Section A
%V 1056
%@ 0167-5087
%C Amsterdam
%I North-Holland Publ. Co.
%M GSI-2023-01106
%P 168663
%D 2023
%Z This work was supported by JSPS KAKENHI Grant Numbers JP16H02180, JP20H00155, JP18H05403, and JP19H05147 (Grant-in-Aid for Scientific Research on Innovative Areas 6005). The authors acknowledges support from Proyectos I+D+i 2020 ref: PID2020-118009GA-I00 ; grant 2019-T1/TIC-13194 of the program Atraccion de Talento Investigador of the Community of Madrid. A.K was supportedby JSPS KAKENHI Grant Numbers JP23K19051 (Grant-in-Aid for Re-search Activity Start-up). H.W acknowledges the support by MEXTKAKENHI Grant Nos. JP21H04465.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:001080187600001
%R 10.1016/j.nima.2023.168663
%U https://repository.gsi.de/record/347688