| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 6 | |
| Section | 2 - Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024502010 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024502010
Generation of Belle II Pixel Detector Background Data with a GAN
Ludwig-Maximians-Universität München
* e-mail: Thomas.Kuhr@lmu.de
Published online: 16 November 2020
To match the statistical precision due to the large dataset that Belle II is expected to collect, simulations that accurately describe real data are required. The effect of beam background must be considered and can be taken into account with overlaying random trigger data, but its large size is a technical challenge. This problem can be mitigated by generating beam background data with generative adversarial networks. A proof of principle is shown for the background data recorded by the pixel vertex detector.
© The Authors, published by EDP Sciences, 2020
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