5 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…
A multi-event interface for next-to-leading order calculations in MadGraph5_aMC@NLO
Rikkert Frederix, Stefan Roiser, Robert Schöfbeck +2
We detail the implementation of a multi-event interface for next-to-leading order (NLO) calculations in MadGraph5_aMC@NLO, allowing tree-level scattering amplitudes for multiple ph…
Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
Lisa Benato, Cristina Giordano, Claudius Krause +5
We introduce a novel methodology for addressing systematic uncertainties in unbinned inclusive cross-section measurements and related collider-based inference problems. Our approac…
Top Quark Mass Extractions from Energy Correlators: A Feasibility Study
Jack Holguin, Ian Moult, Aditya Pathak +3
In a recent article, we proposed an energy correlator-based method to achieve a precision top quark mass extraction from jet substructure, using the -boson mass as a standard ca…
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…