scholarly journals The hadronic contribution to the running of the electromagnetic coupling and the electroweak mixing angle

2020 ◽  
Author(s):  
Marco Cè ◽  
Teseo San José ◽  
Antoine Gérardin ◽  
Harvey B. Meyer ◽  
Kohtaroh Miura ◽  
...  
2005 ◽  
Vol 731 (1-2) ◽  
pp. 213-224 ◽  
Author(s):  
W. Hollik ◽  
U. Meier ◽  
S. Uccirati

1986 ◽  
Vol 177 (3-4) ◽  
pp. 446-452 ◽  
Author(s):  
J.V. Allaby ◽  
U. Amaldi ◽  
G. Barbiellini ◽  
M. Baubillier ◽  
F. Bergsma ◽  
...  

1993 ◽  
Vol 309 (3-4) ◽  
pp. 451-462 ◽  
Author(s):  
O. Adriani ◽  
M. Aguilar-Benitez ◽  
S. Ahlen ◽  
J. Alcaraz ◽  
A. Aloisio ◽  
...  

1998 ◽  
Vol 13 (38) ◽  
pp. 3099-3107 ◽  
Author(s):  
M. MALTONI ◽  
M. I. VYSOTSKY

It happens that s2 and ŝ2 are equal with 0.1% accuracy, though they are split by radiative corrections and a natural estimate for their difference is 1%. This degeneracy occurs only for mt value close to 170 GeV, so no deep physical reason can be attributed to it. However, another puzzle of the standard model, the degeneracy of [Formula: see text] and s2, is not independent of the previous one since a good physical reason exists for [Formula: see text] and ŝ2 degeneracy. We present explicit formulas which relate these three angles.


2019 ◽  
Vol 214 ◽  
pp. 06022
Author(s):  
Dimitri Bourilkov

The use of machine learning techniques for classification is well established. They are applied widely to improve the signal-to-noise ratio and the sensitivity of searches for new physics at colliders. In this study I explore the use of machine learning for optimizing the output of high precision experiments by selecting the most sensitive variables to the quantity being measured. The precise determination of the electroweak mixing angle at the Large Hadron Collider using linear or deep neural network regressors is developed as a test case.


2000 ◽  
Vol 11 (11) ◽  
pp. 1803-1807 ◽  
Author(s):  
M.S. El Naschie

1989 ◽  
Vol 232 (4) ◽  
pp. 539-548 ◽  
Author(s):  
D. Geiregat ◽  
P. Vilain ◽  
G. Wilquet ◽  
F. Bergsma ◽  
U. Binder ◽  
...  

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