348 – ATLAS Computing
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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
00:03:45Frank 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
Processing and Reprocessing / CERN Computing Infrastructure
01:03:55Analysis 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
Perhaps it’s because I’m a computer scientist with an interesting in physics some large-scale computing applications, I really enjoyed the episode. And it was one of the few times I can remember where “Ist there anything I have forgotten” produced a lengthy and interesting result…