Recognition: unknown
Vegas Revisited: Adaptive Monte Carlo Integration Beyond Factorization
classification
✦ hep-ph
physics.comp-ph
keywords
vegasadaptivealgorithmcarlointegrationmonteappearingbetter
read the original abstract
We present a new adaptive Monte Carlo integration algorithm for ill-behaved integrands with non-factorizable singularities. The algorithm combines Vegas with multi channel sampling and performs significantly better than Vegas for a large class of integrals appearing in physics.
This paper has not been read by Pith yet.
Forward citations
Cited by 1 Pith paper
-
Monte Carlo Event Generation with Continuous Normalizing Flows
Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupl...
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.