Slow pion identification at the Belle II PXD with machine learning
Category: Talk, Visibility: Public
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| Authors | Elisabetta Prencipe, Timo Schellhaas, Stephanie Kaes, Johannes Bilk |
|---|---|
| Non-Belle II authors | Sören Lange |
| Date | Feb. 26, 2024 |
| Belle II Number | BELLE2-TALK-CONF-2024-017 |
| Abstract | The identification of slow pions in Belle II experiments presents a no- table challenge, arising from their high dE/dx energy loss and their short flight path in the tracking detectors. This study introduces a method employing advanced machine learning algorithms to accurately detect pions with momentum p<100 MeV/c exclusively with the Belle II pixeldetector (PXD). By analyzing detector signals (in particular a 9x9 pixel matrix) with image processing and pattern recognition methods, this approach significantly boosts the efficiency and accu- racy. Offline and online (FPGA) implemenation will be discussed. |
| Conference | DPG-Frühjahrstagung Karlsruhe |
Files
- BELLE2-TALK-CONF-2024-017.pdf (versions: 1)