1 citations · 1 across the 3 of their papers we have counts for
4 papers
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
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…
Afterpulse prediction for SUBMET experiment
Claudio Campagnari, Sungwoong Cho, Suyong Choi +26
The SUB-Millicharge ExperimenT (SUBMET) investigates an unexplored parameter space of millicharged particles with mass 1.6 GeV/c and charge . The detecto…
Real-time Anomaly Detection for Liquid Argon Time Projection Chambers
Seokju Chung, Jack Cleeve, Akshay Malige +4
We present a real-time anomaly detection framework for liquid argon time projection chambers (LArTPCs), targeting applications in particle physics experiments such as the Short Bas…
Design and Mechanical Integration of Scintillation Modules for SUB-Millicharge ExperimenT (SUBMET)
Claudio Campagnari, Sungwoong Cho, Suyong Choi +22
We present a detailed description of the detector design for the SUB-Millicharge ExperimenT (SUBMET), developed to search for millicharged particles. The experiment probes a largel…