240 citations · 1.2k across the 35 of their papers we have counts for
12 papers · 1 filter
Neural Fake Factor Estimation Using Data-Based Inference
Jan Gavranovič, Lara Čalić, 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…
Systematic Evaluation of Generative Machine Learning Capability to Simulate Distributions of Observables at the Large Hadron Collider
Jan Gavranovič, Borut Paul Kerševan
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…
Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering
M. Grossi, J. Novak, B. Kersevan +1
Measuring longitudinally polarised vector boson scattering in WW channel is a promising way to investigate unitarity restoration with the Higgs mechanism and to search for possible…
VBSCan Mid-Term Scientific Meeting
Julien Baglio, Alessandro Ballestrero, Riccardo Bellan +48
This document summarises the talks and discussions happened during the VBSCan Mid-Term Scientific Meeting workshop. The VBSCan COST action is dedicated to the coordinated study of…
VBSCan Thessaloniki 2018 Workshop Summary
Riccardo Bellan, Jakob Beyer, Carsten Bittrich +61
This document reports the first year of activity of the VBSCan COST Action network, as summarised by the talks and discussions happened during the VBSCan Thessaloniki 2018 workshop…
Vector boson scattering: Recent experimental and theory developments
C. F. Anders, A. Ballestrero, J. Balz +111
This document summarises the talks and discussions happened during the VBSCan Split17 workshop, the first general meeting of the VBSCan COST Action network. This collaboration is a…