Parton shower matching and merging
Marek Sch\"onherr
TL;DR
This paper reviews recent advancements in parton shower matching and merging techniques to improve the precision of Monte Carlo event generators for LHC data analysis.
Contribution
It summarizes recent developments in parton shower matching and merging methods, enhancing the accuracy of theoretical predictions for high-energy physics experiments.
Findings
Improved matching algorithms increase simulation accuracy.
New merging techniques reduce theoretical uncertainties.
Enhanced Monte Carlo tools better match experimental data.
Abstract
With Run-II of the LHC starting its final year of data-taking, high precision theoretical predictions through Monte-Carlo event generators whose uncertainties match that of the recorded data are of highest importance. This talk summarises the progress of the field and highlight a number of recent developments.
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