Shower Separation in Five Dimensions for Highly Granular Calorimeters Using Machine Learning

S. Lai, A. Wilhahn,M. C. Fouz,O. Bach,E. Brianne,A. Ebrahimi,K. Gadow, P. Goettlicher,O. Hartbrich,D. Heuchel,A. Irles, K. Krueger,J. Kvasnicka,S. Lu,C. Neubueser,A. Provenza,M. Reinecke,F. Sefkow,S. Schuwalow,M. De Silva,Y. Sudo,H. L. Tran,L. Liu,R. Masuda, T. Murata,W. Ootani, T. Seino, T. Takatsu,N. Tsuji,R. Poschl,F. Richard,D. Zerwas,F. Hummer,F. Simon,V. Boudry,J-C. Brient,J. Nanni,H. Videau,E. Buhmann,E. Garutti,S. Huck,G. Kasieczka,S. Martens,J. Rolph,J. Wellhausen,B. Bilki,D. Northacker,Y. Onel,L. Emberger,C. Graf

JOURNAL OF INSTRUMENTATION（2024）

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Key words

Large detector systems for particle and astroparticle physics,Pattern recognition,cluster finding,calibration and fitting methods,Performance of High Energy Physics Detectors

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