Guests: Frank Berghaus Host: Markus Voelter Shownoter: Bastian Hundt
To conclude our detailed look at the ATLAS experiment, this episode looks at the computing infrastructure. We start out with the trigger systems that decide, very quickly, whether the data from a particular collision is worth keeping. We then discuss the reconstruction of the event, the simulation needed to understand the background as well as the LHC Grid used distribute data and computation over the whole planet. Our guest is CERN’n Frank Berghaus.
Introduction of Frank Berghaus 00:03:45
Frank Berghaus | omega tau about the History of ATLAS | omega tau about Science at ATLAS | CERN | The Atlas Experiment | LHC
Basic Structure of LHC/Atlas and the Computing Infrastructure 00:05:25Particle Physics | Particle Accelerator | Particle Detector | Beamline | Magnetig Field | Calorimeter | Atlas Calorimeter | Energy | Muon | Analog to Digital Converter | Particle Collision | Atlas-Trigger | In-Memory-Cache | Resistive Plate Chambers | Photomultiplier Tube
Terminology 00:17:05Reconstruction / Reduction | Data Processing | Online vs. Offline | Cern Datacenter | Bias
After Event-Trigger Data Processing 00:23:10Electron Shower | Network Switch | Cryostat | Round-Robin Schedueling | Distributed Storage | Event Horizon Telescope
Data Processing after Storage of Events 00:42:45Particle Jets | Momentum | Abstraction
Jet Reconstruction 00:51:25Topological Clustering | Cone Algorithm
Processing and Reprocessing / CERN Computing Infrastructure 01:03:55Luminosity | High Luminosity LHC | Vertex Detector
LHC Computing Grid 01:12:40Worldwide LHC Computing Grid
Analysis of Events and Computing Infrastructure 01:24:05Simulation | Field Theory | Differential Equations | Photon | ROOT Particle Physics Software | Machine Learning | GPU | Multithreading | Supercomputer
Data Organization and End 02:00:25Relational Database | Namespace | Tape Storage | Cloud Computing | Distributed Computing | Standard Model
CERN File System 02:18:45CVMFS | Docker