activity
19972023
most citedMadGraph/MadEvent v4: The New Web Generation

1.3k citations · 15.6k across the 202 of their papers we have counts for

collaborators

207 papers

hep-th2023★ 4 cited

Rational Q-systems at Root of Unity I. Closed Chains

Jue Hou, Yunfeng Jiang, Yuan Miao

The solution of Bethe ansatz equations for XXZ spin chain with the parameter being a root of unity is infamously subtle. In this work, we develop the rational -system for th…

hep-ph2023★ 26 cited

Returning CP-Observables to The Frames They Belong

Jona Ackerschott, Rahool Kumar Barman, Dorival Gonçalves +2

Optimal kinematic observables are often defined in specific frames and then approximated at the reconstruction level. We show how multi-dimensional unfolding methods allow us to re…

hep-ph2023★ 42 cited

How to Understand Limitations of Generative Networks

Ranit Das, Luigi Favaro, Theo Heimel +3

Well-trained classifiers and their complete weight distributions provide us with a well-motivated and practicable method to test generative networks in particle physics. We illustr…

hep-ph2023★ 26 cited

Jet Diffusion versus JetGPT -- Modern Networks for the LHC

Anja Butter, Nathan Huetsch, Sofia Palacios Schweitzer +3

We introduce two diffusion models and an autoregressive transformer for LHC physics simulations. Bayesian versions allow us to control the networks and capture training uncertainti…

hep-ph2022★ 2 cited

Performance versus Resilience in Modern Quark-Gluon Tagging

Anja Butter, Barry M. Dillon, Tilman Plehn +1

Discriminating quark-like from gluon-like jets is, in many ways, a key challenge for many LHC analyses. First, we use a known difference in Pythia and Herwig simulations to show ho…

hep-ph2022★ 48 cited

MadNIS -- Neural Multi-Channel Importance Sampling

Theo Heimel, Ramon Winterhalder, Anja Butter +5

Theory predictions for the LHC require precise numerical phase-space integration and generation of unweighted events. We combine machine-learned multi-channel weights with a normal…