Kaleu: a general-purpose parton-level phase space generator
A. van Hameren

TL;DR
Kaleu is a versatile phase space generator that adaptively samples multi-particle scattering events, improving integration efficiency for particle physics calculations.
Contribution
It introduces a general-purpose, adaptive phase space generator capable of handling multiple scattering processes in parallel, written in Fortran.
Findings
Successfully samples importance-weighted phase space points
Adapts dynamically to the integration problem
Handles multiple processes simultaneously
Abstract
Kaleu is an independent, true phase space generator. After providing it with some information about the field theory and the particular multi-particle scattering process under consideration, it returns importance sampled random phase space points. Providing it also with the total weight of each generated phase space point, it further adapts to the integration problem on the fly. It is written in Fortran, such that it can independently deal with several scattering processes in parallel.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions · High-Energy Particle Collisions Research
