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Software Compensation for Highly Granular Calorimeters Using Machine Learning

S. Lai, J. Utehs, A. Wilhahn,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,E. Buhmann,E. Garutti,S. Huck,G. Kasieczka,S. Martens,J. Rolph,J. Wellhausen,G. C. Blazey,A. Dyshkant,K. Francis,V Zutshi,B. Bilki,D. Northacker,Y. Onel,F. Hummer,F. Simon,K. Kawagoe, T. Onoe,T. Suehara,S. Tsumura,T. Yoshioka,M. C. Fouz,L. Emberger,C. Graf, M. Wagner,R. Poschl,F. Richard,D. Zerwas,V Boudry,J-C Brient,J. Nanni,H. Videau,L. Liu,R. Masuda, T. Murata,W. Ootani, T. Takatsu,N. Tsuji,M. Chadeeva,M. Danilov,S. Korpachev,V Rusinov

JOURNAL OF INSTRUMENTATION（2024）

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关键词
Large detector-systems performance,Pattern recognition,cluster finding,calibration and fitting methods,Performance of High Energy Physics Detectors
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