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1.
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation / Krause, Claudius (ed.) (Vienna, OAW ; Heidelberg U.) ; Faucci Giannelli, Michele (ed.) (INFN, Rome2 ; Chalmers U. Tech.) ; Kasieczka, Gregor (ed.) (Hamburg U.) ; Nachman, Benjamin (ed.) (LBNL, Berkeley) ; Salamani, Dalila (ed.) (CERN) ; Shih, David (ed.) (Rutgers U., Piscataway) ; Zaborowska, Anna (ed.) (CERN) ; Amram, Oz (Fermilab) ; Borras, Kerstin (DESY ; Aachen, Tech. Hochsch.) ; Buckley, Matthew R. (Rutgers U., Piscataway) et al.
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. [...]
HEPHY-ML-24-05 ; FERMILAB-PUB-24-0728-CMS ; TTK-24-43 ; arXiv:2410.21611.
- 204.
Fermilab Library Server - Fulltext - Fulltext
2.
Towards a Fast Simulation of the ATLAS Calorimeter with Invertible Neural Networks / Zemaitaitis, Dovydas ; Beirer, Joshua Falco (CERN) ; Ernst, Florian (Heidelberg University (DE))
Producing accurate simulations faster than the traditional Monte-Carlo-based Geant4 toolkit is critical for the LHC physics programme to keep up with the increasing demand for simulations. [...]
CERN-STUDENTS-Note-2024-121.
- 2024
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3.
Normalizing Flows for High-Dimensional Detector Simulations / Ernst, Florian (U. Heidelberg, ITP ; CERN) ; Favaro, Luigi (U. Heidelberg, ITP) ; Krause, Claudius (U. Heidelberg, ITP ; Vienna, OAW) ; Plehn, Tilman (U. Heidelberg, ITP) ; Shih, David (Rutgers U., Piscataway)
Whenever invertible generative networks are needed for LHC physics, normalizing flows show excellent performance. [...]
arXiv:2312.09290.
- 34.
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Se også: lignende forfatternavn
2 Ernst, F
11 Ernst, F J
1 Ernst, Floris
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