4 citations · 5 across the 4 of their papers we have counts for
5 papers
MadNIS, Ready for Production at LO
Theo Heimel, Olivier Mattelaer, Daniele Massaro +1
We extend neural multi-channel importance sampling in MadNIS to full proton-proton processes in a production-ready event-generation setup. We benchmark a wide range of LHC processe…
Data-parallel leading-order event generation in MadGraph5_aMC@NLO
Stephan Hageböck, Daniele Massaro, Olivier Mattelaer +3
The CUDACPP plugin for MadGraph5_aMC@NLO aims to accelerate leading order tree-level event generation by providing the MadEvent event generator with data-parallel helicity amplitud…
Madgraph on GPUs and vector CPUs: towards production (The 5-year journey to the first LO release CUDACPP v1.00.00)
Andrea Valassi, Taylor Childers, Stephan Hageböck +7
The effort to speed up the Madgraph5_aMC@NLO generator by exploiting CPU vectorization and GPUs, which started at the beginning of 2020, has delivered the first production release…
Phenomenology of superheavy decaying dark matter from string theory
Rouzbeh Allahverdi, Chiara Arina, Marco Chianese +4
We study the phenomenology of superheavy decaying dark matter with mass around GeV which can arise in the low-energy limit of string compactifications. Generic features o…
Studying dark matter with MadDM: lines and loops
Daniele Massaro, Chiara Arina, Jan Heisig +2
Automated tools for the computation of amplitudes and cross sections have become the backbone of phenomenological studies beyond the standard model. We present the latest developme…