Speaker
Ms
Katharina Dort
(Justus Liebig University Giessen)
Description
The Belle II experiment, located at the SuperKEKB collider at the high-energy research facility KEK in Tsukuba, Japan, started operation in 2018. Compared to the predecessor
experiment Belle, Belle II plans to increase the peak luminosity by a factor of <40, by employing nano-beam technology in the interaction region.
In particular the new, innermost sub-detector of Belle II - the Pixel Vertex Detector (PXD) - is in close proximity to the interaction point. This allows for the detection of
particles, which do not leave a signal in the outer sub-detectors. Among these, Highly Ionizing Particles (HIPs) encounter a characteristically high energy loss, limiting
their penetration depth into the detector.
Anti-deuterons, magnetic monopoles and stable tetraquarks as possible HIPs are considered. Without a signal in the outer sub-detectors, no track trigger is issued, resulting
in possible non-observation. Therefore, in this talk, the possibility of identifying HIPs solely with information provided by the PXD is presented, by using neural network
algorithms operating in a multidimensional parameter space of e.g. PXD cluster data. Most notably, the application of unsupervised learning in the form of Self-Organizing
Maps (SOM) is presented.
Primary author
Ms
Katharina Dort
(Justus Liebig University Giessen)
