Statistical Patterns of Theory Uncertainties

Autor:	Ghosh, Aishik, Nachman, Benjamin, Plehn, Tilman, Shire, Lily, Tait, Tim M. P., Whiteson, Daniel
Rok vydání:	2022
Předmět:	High Energy Physics - Phenomenology
Druh dokumentu:	Working Paper
Popis:	A comprehensive uncertainty estimation is vital for the precision program of the LHC. While experimental uncertainties are often described by stochastic processes and well-defined nuisance parameters, theoretical uncertainties lack such a description. We study uncertainty estimates for cross-section predictions based on scale variations across a large set of processes. We find patterns similar to a stochastic origin, with accurate uncertainties for processes mediated by the strong force, but a systematic underestimate for electroweak processes. We propose an improved scheme, based on the scale variation of reference processes, which reduces outliers in the mapping from leading order to next-to-leading-order in perturbation theory. Comment: UCI-HEP-TH-2022-21
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2210.15167 Zobrazit plný text záznamu View this record from Arxiv