Deep sets and event-level maximum-likelihood estimation for fast pile-up jet rejection in ATLAS
Published:Dec 11, 2025 17:09
•1 min read
•ArXiv
Analysis
This article likely discusses the application of deep learning techniques, specifically deep sets and maximum-likelihood estimation, to improve the rejection of pile-up jets in the ATLAS experiment. The focus is on achieving faster and more efficient jet rejection, which is crucial for high-energy physics experiments.
Key Takeaways
Reference
“”