5 citations · 10 across the 7 of their papers we have counts for
7 papers
Proton Structure from Neural Simulation-Based Inference at the LHC
Ricardo Barrué, Lisa Benato, Ali Kaan Güven +10
The precise determination of the parton distribution functions (PDFs) of the proton is an essential ingredient for LHC analyses, including for those at the upcoming High-Luminosity…
Rare top quark production and top quark properties in ATLAS and CMS
Sergio Sánchez Cruz
The production of top quark pairs is one of the most relevant production modes at the LHC, and allow for precise measurement of the properties of this particle. Top quarks are also…
Searches for new physics breaking the CP and flavor symmetries in the top quark sector at CMS
Sergio Sánchez Cruz
The top quark plays an important role in a number of new physics models, some of which introduce violations to some of the accidental symmetries of the SM, such as the lepton numbe…
EFT Workshop at Notre Dame
Nick Smith, Daniel Spitzbart, Jennet Dickinson +27
The LPC EFT workshop was held April 25-26, 2024 at the University of Notre Dame. The workshop was organized into five thematic sessions: "how far beyond linear" discusses issues of…
LHC EFT WG Note: SMEFT predictions, event reweighting, and simulation
Alberto Belvedere, Saptaparna Bhattacharya, Giacomo Boldrini +16
This note gives an overview of the tools for predicting expectations in the Standard Model effective field theory (SMEFT) at the tree level and one loop available through event gen…
Equivariant neural networks for robust observables
Sergio Sánchez Cruz, Marina Kolosova, Clara Ramón Álvarez +2
We introduce the usage of equivariant neural networks in the search for violations of the charge-parity () symmetry in particle interactions at the CERN Large Hadron C…
A rotation-equivariant graph neural network for learning hadronic SMEFT effects
Suman Chatterjee, Sergio Sánchez Cruz, Robert Schöfbeck +1
We introduce a graph neural network architecture designed to extract novel phenomena in the Standard Model Effective Field Theory (SMEFT) context from LHC collision data. The propo…