Description
We present the implementation and performance of the first-level Belle II neural network track trigger, a data-taking system operational since 2021. This system, implemented on FPGA, enhances the overall trigger performance of Belle II, particularly in terms of efficiency for events with low track multiplicities. We also discuss the implementation and use of the Punzi-loss and Punzi-net, innovative tools specifically designed to search for new particles of unknown masses. This work advocates for the deployment of such tools on FPGAs to enable real-time analyses with applications beyond Belle II.
| What of the following keywords match your abstract best? | FPGAs |
|---|---|
| Please tick if you are a PhD student and wish to take part to the poster prize competition! | Other |
Author
Gianluca Inguglia
(Austrian Academy of Sciences (AT))
