16–20 Jun 2025
THotel, Cagliari, Sardinia, Italy
Europe/Rome timezone

PXD background generation using generative models

Not scheduled
20m
THotel, Cagliari, Sardinia, Italy

THotel, Cagliari, Sardinia, Italy

Via dei Giudicati, 66, 09131 Cagliari (CA), Italy
Poster + Flashtalk Simulations & Generative Models

Speaker

Fabio Novissimo (Ludwig-Maximilians-Universität München)

Description

The Pixel Vertex Detector (PXD) is the innermost detector of the Belle II experiment. Information from the PXD, together with data from other detectors, allows to have a very precise vertex reconstruction. The effect of beam background on reconstruction is studied by adding measured or simulated background hit patterns to hits produced by simulated signal particles. This requires a huge sample of statistically independent PXD background noise hit patterns to avoid systematic biases, resulting in a huge amount of storage due to the high granularity of the PXD sensors. As an efficient way of producing background noise, we explore the idea of an on-demand PXD background generator realised using generative models. In order to evaluate the quality of generated background we measure physical quantities which are sensitive to the background in the PXD.

AI keywords GAN; diffusion model; generative models

Primary authors

Fabio Novissimo (Ludwig-Maximilians-Universität München) Nikolai Krug (LMU Munich) Thomas Kuhr (LMU Munich)

Presentation materials

There are no materials yet.