4-8 November 2019
Adelaide Convention Centre
Australia/Adelaide timezone

Generation of Belle II pixel detector background data with a GAN

4 Nov 2019, 15:15
Riverbank R6 (Adelaide Convention Centre)

Riverbank R6

Adelaide Convention Centre

Oral Track 2 – Offline Computing Track 2 – Offline Computing


Thomas Kuhr (Ludwig Maximilians Universitat (DE))


Belle II uses a Geant4-based simulation to determine the detector response to the generated decays of interest. A realistic detector simulation requires the inclusion of noise from beam-induced backgrounds. This is accomplished by overlaying random trigger data to the simulated signal. To have statistically independent Monte-Carlo events a high number of random trigger events are desirable. However, the size of the background events, in particular the part of the pixel vertex detector (PXD), is so large that it is infeasible to record, store, and overlay the same amount as simulated signal events. Our approach to overcome the limitation of the simulation by storage resources is to use a Wasserstein generative adverserial network to generate PXD background data. A challenge is the high resolution of 250x768 pixels of in total 40 sensors with correlations between them. We will present the current status of this approach and assess its quality based on tracking performance studies.

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Primary authors

Matej Srebre (LMU Munich) Pascal Schmolz (LMU Munich) Dr Martin Ritter (LMU / Cluster Universe) Thomas Kuhr (Ludwig Maximilians Universitat (DE)) Hosein Hashemi (LMU Munich)

Presentation Materials