Jet physics at the CERN intersecting storage rings

1990 ◽  
Vol 13 (7) ◽  
pp. 1-42
Author(s):  
V. Cavasinni
Keyword(s):  
Storage Rings ◽  
Jet Physics

Electron and positron storage rings

1963 ◽  
Vol 81 (9) ◽  
pp. 7-49 ◽  
Author(s):  
Artem I. Alikhan'yan ◽  
S.A. Kheifets ◽  
S.K. Esin
Keyword(s):  
Storage Rings

scholarly journals Spin tune mapping as a novel tool to probe the spin dynamics in storage rings

2017 ◽  
Vol 20 (7) ◽  
Author(s):  
A. Saleev ◽  
N. N. Nikolaev ◽  
F. Rathmann ◽  
W. Augustyniak ◽  
Z. Bagdasarian ◽  
...  
Keyword(s):  
Spin Dynamics ◽  
Storage Rings

scholarly journals Tag N’ Train: a technique to train improved classifiers on unlabeled data

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Oz Amram ◽  
Cristina Mantilla Suarez
Keyword(s):  
Real Data ◽  
Unlabeled Data ◽  
Machine Learning Techniques ◽  
Jet Physics ◽  
Classification Problems ◽  
Weak Classifier ◽  
Potential Applications ◽  
Substantial Progress ◽  
Resonance Search ◽  
Class Labels

Abstract There has been substantial progress in applying machine learning techniques to classification problems in collider and jet physics. But as these techniques grow in sophistication, they are becoming more sensitive to subtle features of jets that may not be well modeled in simulation. Therefore, relying on simulations for training will lead to sub-optimal performance in data, but the lack of true class labels makes it difficult to train on real data. To address this challenge we introduce a new approach, called Tag N’ Train (TNT), that can be applied to unlabeled data that has two distinct sub-objects. The technique uses a weak classifier for one of the objects to tag signal-rich and background-rich samples. These samples are then used to train a stronger classifier for the other object. We demonstrate the power of this method by applying it to a dijet resonance search. By starting with autoencoders trained directly on data as the weak classifiers, we use TNT to train substantially improved classifiers. We show that Tag N’ Train can be a powerful tool in model-agnostic searches and discuss other potential applications.

scholarly journals Averaged invariants in storage rings with synchrotron motion

2020 ◽  
Vol 15 (12) ◽  
pp. P12032-P12032
Author(s):  
S. Webb ◽  
N. Cook ◽  
J. Eldred
Keyword(s):  
Storage Rings

scholarly journals Jet physics in e+e− interactions

1984 ◽  
Author(s):  
Frank E. Paige
Keyword(s):  
Jet Physics
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