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Shower separation in five dimensions for highly granular calorimeters using machine learning
by
Lai, S.
,
Utehs, J.
,
Wilhahn, A.
,
Fouz, M.C.
,
Bach, O.
,
Brianne, E.
,
Ebrahimi, A.
,
Gadow, K.
,
Göttlicher, P.
,
Hartbrich, O.
,
Heuchel, D.
,
Irles, A.
,
Krüger, K.
,
Kvasnicka, J.
,
Lu, S.
,
Neubüser, C.
,
Provenza, A.
,
Reinecke, M.
,
Sefkow, F.
,
Schuwalow, S.
,
De Silva, M.
,
Sudo, Y.
,
Tran, H.L.
,
Liu, L.
,
Masuda, R.
,
Murata, T.
,
Ootani, W.
,
Seino, T.
,
Takatsu, T.
,
Tsuji, N.
,
Pöschl, R.
,
Richard, F.
,
Zerwas, D.
,
Hummer, F.
,
Simon, F.
,
Boudry, V.
,
Brient, J-C.
,
Nanni, J.
,
Videau, H.
,
Buhmann, E.
,
Garutti, E.
,
Huck, S.
,
Kasieczka, G.
,
Martens, S.
,
Rolph, J.
,
Wellhausen, J.
,
Bilki, B.
,
Northacker, D.
,
Onel, Y.
,
Emberger, L.
,
Graf, C.
Published in
Journal of instrumentation
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Software compensation for highly granular calorimeters using machine learning
by
Lai, S.
,
Utehs, J.
,
Wilhahn, A.
,
Bach, O.
,
Brianne, E.
,
Ebrahimi, A.
,
Gadow, K.
,
Göttlicher, P.
,
Hartbrich, O.
,
Heuchel, D.
,
Irles, A.
,
Krüger, K.
,
Kvasnicka, J.
,
Lu, S.
,
Neubüser, C.
,
Provenza, A.
,
Reinecke, M.
,
Sefkow, F.
,
Schuwalow, S.
,
De Silva, M.
,
Sudo, Y.
,
Tran, H.L.
,
Buhmann, E.
,
Garutti, E.
,
Ḣuck, S.
,
Kasieczka, G.
,
Martens, S.
,
Rolph, J.
,
Wellhausen, J.
,
Blazey, G.C.
,
Dyshkant, A.
,
Francis, K.
,
Zutshi, V.
,
Bilki, B.
,
Northacker, D.
,
Onel, Y.
,
Hummer, F.
,
Simon, F.
,
Kawagoe, K.
,
Onoe, T.
,
Suehara, T.
,
Tsumura, S.
,
Yoshioka, T.
,
Fouz, M.C.
,
Emberger, L.
,
Graf, C.
,
Wagner, M.
,
Pöschl, R.
,
Richard, F.
,
Zerwas, D.
,
Boudry, V.
,
Brient, J-C.
,
Nanni, J.
,
Videau, H.
,
Liu, L.
,
Masuda, R.
,
Murata, T.
,
Ootani, W.
,
Takatsu, T.
,
Tsuji, N.
,
Chadeeva, M.
,
Danilov, M.
,
Korpachev, S.
,
Rusinov, V.
Published in
Journal of instrumentation
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Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
by
Lai, S
,
Utehs, J
,
Wilhahn, A
,
Fouz, M C
,
Bach, O
,
Brianne, E
,
Ebrahimi, A
,
Gadow, K
,
Göttlicher, P
,
Hartbrich, O
,
Heuchel, D
,
Irles, A
,
Krüger, K
,
Kvasnicka, J
,
S Lu
,
Neubüser, C
,
Provenza, A
,
Reinecke, M
,
Sefkow, F
,
Schuwalow, S
,
De Silva, M
,
Sudo, Y
,
Tran, H L
,
Liu, L
,
Masuda, R
,
Murata, T
,
Ootani, W
,
Seino, T
,
Takatsu, T
,
Tsuji, N
,
Pöschl, R
,
Richard, F
,
Zerwas, D
,
Hummer, F
,
Simon, F
,
Boudry, V
,
J-C Brient
,
Nanni, J
,
Videau, H
,
Buhmann, E
,
Garutti, E
,
Huck, S
,
Kasieczka, G
,
Martens, S
,
Rolph, J
,
Wellhausen, J
,
Bilki, B
,
Northacker, D
,
Onel, Y
,
Emberger, L
,
Graf, C
Published in
arXiv.org
Get full text
Article
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4
Loading…
Software Compensation for Highly Granular Calorimeters using Machine Learning
by
Lai, S
,
Utehs, J
,
Wilhahn, A
,
Bach, O
,
Brianne, E
,
Ebrahimi, A
,
Gadow, K
,
Göttlicher, P
,
Hartbrich, O
,
Heuchel, D
,
Irles, A
,
Krüger, K
,
Kvasnicka, J
,
S Lu
,
Neubüser, C
,
Provenza, A
,
Reinecke, M
,
Sefkow, F
,
Schuwalow, S
,
De Silva, M
,
Sudo, Y
,
Tran, H L
,
Buhmann, E
,
Garutti, E
,
Huck, S
,
Kasieczka, G
,
Martens, S
,
Rolph, J
,
Wellhausen, J
,
Blazey, G C
,
Dyshkant, A
,
Francis, K
,
Zutshi, V
,
Bilki, B
,
Northacker, D
,
Onel, Y
,
Hummer, F
,
Simon, F
,
Kawagoe, K
,
Onoe, T
,
Suehara, T
,
Tsumura, S
,
Yoshioka, T
,
Fouz, M C
,
Emberger, L
,
Graf, C
,
Wagner, M
,
Pöschl, R
,
Richard, F
,
Zerwas, D
,
Boudry, V
,
J-C Brient
,
Nanni, J
,
Videau, H
,
Liu, L
,
Masuda, R
,
Murata, T
,
Ootani, W
,
Takatsu, T
,
Tsuji, N
,
Chadeeva, M
,
Danilov, M
,
Korpachev, S
,
Rusinov, V
Published in
arXiv.org
Get full text
Article
Save to List
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