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Contents
Abstract
Preface
Contents
List of Figures
The Standard Model
Lagrangians
A review of Lagrangians
Lagrangians in the Standard Model
Gauge Invariance
Gauge invariance in classical electrodynamics
and electromagnetism
and isospin
and the quark-model
The Standard Model Lagrangian
terms
terms
terms
Discrete symmetries
Parity
Time inversion
Charge conjugation
The Higgs mechanism
Spontaneous Symmetry Breaking
The Higgs mechanism in the Standard Model
Masses of the fermions
Scattering and Decay
The scattering matrix
Decay of particles
Scattering
Feynman - rules
Beyond the Standard Model
From quarks to hadrons
The Lund model
Definition of the fragmentation function
Bound
states - The ``yo-yo'' model
Particle production
Fragmentation functions in the Lund model
Gluons
Other fragmentation functions
The Peterson function
The Kartvelishvili function
The Collins-Spiller function
The F- function
The Bowler Function
Implementation in the Monte Carlo Generator
Neural Networks
Network topologies
Network training
Gradient descent
Backpropagation
Regularisation
Preprocessing
Further techniques to enhance network training
Other minimisation schemes
Alternative cost functions
NeuroBayes
Unfolding
Motivation
Parameter estimation
Unfolding without regularisation
Unfolding with regularisation
The DELPHI experiment at LEP
LEP
Historic remarks
Beam mechanics
The DELPHI Experiment
The Tracking System
The Calorimeters
The Online System
The Offline System
Analysis of b-fragmentation
Motivation
Event Selection
Reconstruction of the Input Variable
Test of the Method
Unfolding
Assigned weights
Unfolding
without constraints
Unfolding
with constraints
Consistency checks
Test of functional forms
Systematic checks
Dependence on
and
Further systematic checks
Conclusion
Bibliography
Acknowledgements
About this document ...
Ulrich Kerzel 2002-08-27