4 papers
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jenni Ott, Shiva Abbaszadeh +118
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
Muon identification with Deep Neural Network in the Belle II K-Long and Muon detector
Zihan Wang, Yo Sato, Akimasa Ishikawa +11
Muon identification is crucial for elementary particle physics experiments. At the Belle II experiment, muons and pions with momenta greater than 0.7 GeV/c are distinguished by the…
Development and commissioning of a new readout system for the gas flow of the Belle II and muon detector
Travis Applegate, Noah Brenny, Chunhui Chen +11
We have designed and commissioned a new readout board to detect photosensor signals from gas-bubbler panels to continuously monitor the gas flow through the resistive plate chamber…
Design and Commissioning of Readout Electronics for a and Detector at the Belle II Experiment
C. Ketter, M. Andrew, T. Aushev +71
The K-long and muon detector (KLM) constitutes the outer-most volume of the Belle II spectrometer at the interaction region of the SuperKEKB collider in Tsukuba, Japan. The KLM det…