3 papers
hep-ph2026
Neural Fake Factor Estimation Using Data-Based Inference
Jan GavranoviÄ, Lara ÄaliÄ, Jernej Debevc +2
In a high-energy physics data analysis, the term "fake" backgrounds refers to events that would formally not satisfy the (signal) process selection criteria, but are accepted nonet…
physics.ins-det2025
GPT-like transformer model for silicon tracking detector simulation
Tadej Novak, Borut Paul Kerševan
Simulating physics processes and detector responses is essential in high energy physics and represents significant computing costs. Generative machine learning has been demonstrate…
hep-ph2024
Systematic Evaluation of Generative Machine Learning Capability to Simulate Distributions of Observables at the Large Hadron Collider
Jan GavranoviÄ, Borut Paul KerÅ¡evan
Monte Carlo simulations are a crucial component when analysing the Standard Model and New physics processes at the Large Hadron Collider. This paper aims to explore the performance…