TL;DR
This paper investigates how next-to-leading order (NLO) corrections and jet algorithms influence predictions for various high-energy physics processes at the Tevatron and LHC.
Contribution
It provides a detailed analysis of the effects of NLO corrections and jet algorithms on different processes in collider experiments.
Findings
NLO corrections significantly affect cross-section predictions.
Jet algorithms impact the reconstruction of jets in collider data.
The study offers insights into optimizing jet algorithms for better accuracy.
Abstract
The impact of NLO corrections, and in particular, the role of jet algorithms, is examined for a variety of processes at the Tevatron and LHC.
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.