LHC EFT WG Note: SMEFT predictions, event reweighting, and simulation
Alberto Belvedere, Saptaparna Bhattacharya (ed.), Giacomo Boldrini,, Suman Chatterjee, Alessandro Calandri, Sergio S\'anchez Cruz, Jennet, Dickinson, Franz J. Glessgen, Reza Goldouzian, Alexander Grohsjean, Laurids, Jeppe, Charlotte Knight (ed.), Olivier Mattelaer, Kelci Mohrman

TL;DR
This paper reviews tools for predicting SMEFT expectations using event generators, comparing methods like reweighting and separate simulation in terms of accuracy and bias.
Contribution
It provides a comparative analysis of different simulation techniques for SMEFT predictions, highlighting their advantages and limitations.
Findings
Event reweighting is efficient but can introduce biases.
Separate simulation of squared matrix elements improves accuracy.
Full SMEFT process simulation offers comprehensive predictions.
Abstract
This note gives an overview of the tools for predicting expectations in the Standard Model effective field theory (SMEFT) at the tree level and one loop available through event generators. Methods of event reweighting, the separate simulation of squared matrix elements, and the simulation of the full SMEFT process are compared in terms of statistical efficacy and potential biases.
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.
