1 citations · 1 across the 1 of their papers we have counts for
5 papers
MAIA: A new detector concept for a 10 TeV muon collider
Charles Bell, Daniele Calzolari, Christian Carli +24
Muon colliders offer a compelling opportunity to explore the TeV scale and conduct precision tests of the Standard Model, all within a relatively compact geographical footprint. Th…
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…
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…
WARP Logic Neural Networks
Lino Gerlach, Thore Gerlach, Liv VÃ¥ge +2
Fast and efficient AI inference is increasingly important, and recent models that directly learn low-level logic operations have achieved state-of-the-art performance. However, exi…
Rapid Inference of Logic Gate Neural Networks for Anomaly Detection in High Energy Physics
Lino Gerlach, Elliott Kauffman, Liv Helen VÃ¥ge +1
The increasing data rates and complexity of detectors at the Large Hadron Collider (LHC) necessitate fast and efficient machine learning models, particularly for rapid selection of…