Guests: Philipp Windischhofer Host: Markus Voelter Shownoter: Andy Joiner
After understanding the history and development of ATLAS (and covering the LHC and particle physics in general) in previous episodes, we are now at the point where we can try to understand how a scientist uses the data produced by one of these large detectors and make sense of it. This is what we’ll do in this episode with physicist (and listener) Philipp Windischhofer. If you want to learn even more, you can check out these links provided by Philipp or read the last chapter of the book :-)
Some additional material supplied by Philipp:
Introduction 00:03:23
Philipp Windischhofer | Particle Physics | University of Oxford | Atlas Collaboration | Atlas Detector (Episode 030 – The Large Hadron Collider) | Large Hadron Collider (LHC) | CERN | Higgs Boson (Episode 093 - Standard Model) | Other episodes on particle physics
Particle Physics 00:05:03Special relativity | Quantum Mechanics | Mass | Charge | Spin | Symmetry | Angular Momentum | Quantized | Graviton | Gravitational Waves | Quark | Color Charge | Strong Interaction | Weak Charge | Weak Interaction | Four Point Interaction | Wave-Particle Duality | Virtual Particles | Quantum Field Theory | Matter Particles | Force-Carrier Particles | Boson | Fermion | UA1 Experiment | UA2 Experiment | Cross Section | Mexican Hat Potential | Spontaneous Symmetry Breaking | Sigmas | FCC | GeV | Hierarchy Problem
Atlas Experiments 00:59:13Collision | Momenta | Proton | Sub-detectors | Interaction-point | Pixel Detector | Magnetic Field | Gas Based Tracking Detector | Transition Radiation Tracker (TRT) | Calorimeter | Electromagnetic Calorimeter | Hadronic Calorimeter | Muon System (Gas Detectors) | Right-hand Rule | ~2MB data per event | Bunch | Visualizations | Event Reconstruction | Energy Deposits | Extrapolate | Noise | Combinatorics | Tracking | Tracklet | Kalman Filter | Data Fusion | Showers | Jet | Jet Clustering Algorithm | Pileup | Calibration | Model | Integration | Simulation | CAD Model | Bootstrapping | Monte Carlo Methods | Numerical Methods
Physics in ATLAS 01:55:28Decay | Decay Rate | Boosted | Associated Production | Candidates | ROOT file | Degrees of Freedom | Plot/Histogram | Distribution | Maximum Likelihood Fit | Discretize | Artificial Neural Networks | Boosted Decision Tree | Discriminant | Distance Metric | Blinded | Athena | C++ | Python | Effective Theory