scholarly journals A precise determination of the electroweak mixing angle from semi-leptonic neutrino scattering

1986 ◽  
Vol 177 (3-4) ◽  
pp. 446-452 ◽  
Author(s):  
J.V. Allaby ◽  
U. Amaldi ◽  
G. Barbiellini ◽  
M. Baubillier ◽  
F. Bergsma ◽  
...  
1987 ◽  
Vol 36 (4) ◽  
pp. 611-628 ◽  
Author(s):  
◽  
J. V. Allaby ◽  
U. Amaldi ◽  
G. Barbiellini ◽  
M. Baubillier ◽  
...  

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

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.


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

1991 ◽  
Vol 259 (4) ◽  
pp. 499-507 ◽  
Author(s):  
D. Geiregat ◽  
P. Vilain ◽  
G. Wilquet ◽  
U. Binder ◽  
H. Burkard ◽  
...  

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