Description
Matrix element acceleration, GPU porting, negative-weight reduction, ...
Details and results on the portable parton-level event generation framework that we are developing, also with respect to the algorithmic choices for the tree-level calculation
I will discuss some of the current challenges for the evaluation of multi-loop amplitudes. Neural networks have had some success for the evaluation of tree-level and one-loop amplitudes that may also be useful in the context of higher order computations. I will show some simple applications to simulations of processes with no born level contributions, gg->di-photon+gluons, and discuss...
Negative Monte Carlo event weights greatly hamper the statistical convergence, leading to large samples and incurring a huge increase in computational cost for subsequent steps in the simulation chain. I discuss the cell resampling method for cancelling negative weights inside small phase space regions and present recent improvements that render the application to large high-multiplicity...
