76 citations · 88 across the 8 of their papers we have counts for
4 papers · 1 filter
Stay Positive: Neural Refinement of Sample Weights
Benjamin Nachman, Dennis Noll
Monte Carlo simulations are an essential tool in particle physics data analysis. Events are typically generated alongside weights that redistribute the cross section of the simulat…
Moment Unfolding
Krish Desai, Benjamin Nachman, Jesse Thaler
Deconvolving ("unfolding'') detector distortions is a critical step in the comparison of cross section measurements with theoretical predictions in particle and nuclear physics. Ho…
Safe but Incalculable: Energy-weighting is not all you need
Samuel Bright-Thonney, Benjamin Nachman, Jesse Thaler
Infrared and collinear (IRC) safety has long been used a proxy for robustness when developing new jet substructure observables. This guiding philosophy has been carried into the de…
Event Generators for High-Energy Physics Experiments
J. M. Campbell, M. Diefenthaler, T. J. Hobbs +209
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of acti…