Recent developments in Monte-Carlo Event Generators
Marek Sch\"onherr

TL;DR
This paper reviews recent advancements in Monte-Carlo Event Generators driven by the needs of high-precision predictions for LHC Run II data, highlighting progress and limitations of new tools.
Contribution
It provides an overview of recent developments in Monte-Carlo Event Generators, emphasizing their improved capabilities and current limitations for high-precision physics predictions.
Findings
Enhanced accuracy in event simulation for LHC data
Identification of current limitations in Monte-Carlo tools
Progress in developing new Monte-Carlo algorithms
Abstract
With Run II of the LHC having started, the need for high precision theory predictions whose uncertainty matches that of the data to be taken necessitated a range of new developments in Monte-Carlo Event Generators. This talk will give an overview of the progress in recent years in the field and what can and cannot be expected from these newly written tools.
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.
