Table of Contents
I
186
Wing Sheung Chan
1 The Standard Model and lepton flavour violation
15
2 The Large Hadron Collider and the ATLAS detector
39
3 Object reconstruction and identification
57
4 Event selection and classification
79
5 Signal and background modelling
97
6 Statistical interpretation and results
117
Conclusion and outlook
133
A Introduction to neural network classification
137
B Training history of the neural network classifiers
139
C Distributions and modelling of the neural network input variables
143
D Measured fake factors
153
Bibliography
159
Summary
169
Samenvatting
175
Acknowledgements
181
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