SMEFT deviations
نویسندگان
چکیده
This work is based on a bottom{-}up approach to the standard{-}model effective field theory (SMEFT), resulting in an equiprobable space of Wilson coefficients. The randomly generated coefficients SMEFT (in Warsaw basis) are treated as pseudo-data and, for each observable, corresponding probability density function computed. goal has been understand how large deviations from SM once scale and range selected. Correlations between different observables also discussed.
منابع مشابه
Scheming in the SMEFT . . . and a reparameterization invariance
We explain a reparameterization invariance in the Standard Model Effective Field Theory present when considering ψ̄ψ → ψ̄ψ scatterings (with ψ a fermion) and how this leads to unconstrained combinations of Wilson coefficients in global data analyses restricted to these measurements. We develop a {m̂W , m̂Z , ĜF } input parameter scheme and compare results to the case when an input parameter set {α̂,...
متن کاملTowards consistent Electroweak Precision Data constraints in the SMEFT
We discuss the impact of many previously neglected effects of higher dimensional operators when fitting to Electroweak Precision data (EWPD) in the Standard Model Effective Field Theory (SMEFT). We calculate the general case of 2 → 2 fermion scattering in the SMEFT to order O(v̄2 T /Λ2) valid on and off the Z pole, in the massless fermion limit. We demonstrate that previously neglected correctio...
متن کاملThe Role of Security in Social Deviations
The aim of this study is to investigate the role of security in social deviations among women of Babol city. Descriptive survey research method was used and the unit of analysis is 15-29 year old women that 284 women are selected on the basis of Cochran formula and using multi-stage random cluster sampling. The results show that there is a weak significant relationship between the independent v...
متن کاملRegression Model Estimation Using Least Absolute Deviations , Least Squares Deviations and Minimax Absolute Deviations Criteria
Regression models and their statistical analyses is the most important tool used by scientists in data analyses especially for modeling the relationship among random variables and making predictions with higher accuracy. A fundamental problem in the theory of errors, which has drawn attention of leading mathematicians and scientists since past few centuries, was that of fitting functions. For t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Physical Journal C
سال: 2023
ISSN: ['1434-6044', '1434-6052']
DOI: https://doi.org/10.1140/epjc/s10052-022-11162-7