Detector Simulation: Data Treatment and Analysis Methods

Detector Simulation in 'Data Treatment and Analysis Methods', part of 'Landolt-Börnstein - Group I Elementary Particles, Nuclei and Atoms: Numerical Data and Functional Relationships in Science and Technology, Volume 21B1: Detectors for Particles and Radiation. Part 1: Principles and Methods'. This document is part of Part 1 'Principles and Methods' of Subvolume B 'Detectors for Particles and Radiation' of Volume 21 'Elementary Particles' of Landolt-Börnstein - Group I 'Elementary Particles, Nuclei and Atoms'. It contains the Section '4.1 Detector Simulation' of Chapter '4 Data Treatment and Analysis Methods' with the content: 4.1 Detector Simulation 4.1.1 Overview of simulation 4.1.1.1 Uses of detector simulation 4.1.2 Stages and types of simulation 4.1.2.1 Tools for event generation and detector simulation 4.1.2.2 Level of simulation and computation time 4.1.2.3 Radiation effects and background studies 4.1.3 Components of detector simulation 4.1.3.1 Geometry modeling 4.1.3.2 External fields 4.1.3.3 Introduction to the transport Monte Carlo method 4.1.3.4 Overview of Electromagnetic Interactions and their Modeling 4.1.3.5 Interactions of photons 4.1.3.6 Interactions of charged particles 4.1.3.7 Hadronic Interactions and their modeling 4.1.3.8 Models of Interactions at Low Energies 4.1.3.9 Cascade models of hadron-nucleus interactions at intermediate energy 4.1.3.10 High-energy 'string' models 4.1.3.11 Treatment of low-energy neutron interactions 4.1.3.12 Fast simulation 4.1.3.13 Accuracy of simulation 4.1.3.14 Signal generation 4.1.3.15 Production thresholds and other biasing techniques 4.1.4 Case studies 4.1.4.1 Tevatron experiment discoveries 4.1.4.2 LHC Experiments 4.1.4.3 Calibration of EM calorimeter using Monte Carlo 4.1.4.4 Hadronic calorimeters: comparisons with test beams 4.1.4.5 Background estimation for CMS 4.1.5 Perspective