| Preprint | |
| Report number | arXiv:2312.09290 |
| Title | Normalizing Flows for High-Dimensional Detector Simulations |
| Author(s) | 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) |
| Imprint | 2023-12-14 |
| Number of pages | 24 |
| Note | 24 pages, 9 figures, 5 tables |
| Subject category | hep-ph ; Particle Physics - Phenomenology |
| Abstract | Whenever invertible generative networks are needed for LHC physics, normalizing flows show excellent performance. A challenge is their scaling to high-dimensional phase spaces. We investigate their performance for fast calorimeter shower simulations with increasing phase space dimension. In addition to the standard architecture we also employ a VAE to compress the dimensionality. Our study provides benchmarks for invertible networks applied to the CaloChallenge. |
| Other source | Inspire |
| Copyright/License | preprint: (License: CC BY 4.0) |
レコード 生成： 2024-06-12, 最終変更： 2024-07-02
