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.

Terminology

00:17:05

Reconstruction / Reduction | Data Processing | Online vs. Offline | Cern Datacenter | Bias

After Event-Trigger Data Processing

00:23:10

Electron Shower | Network Switch | Cryostat | Round-Robin Schedueling | Distributed Storage | Event Horizon Telescope

Data Processing after Storage of Events

00:42:45

Particle Jets | Momentum | Abstraction

Jet Reconstruction

00:51:25

Topological Clustering | Cone Algorithm

Processing and Reprocessing / CERN Computing Infrastructure

01:03:55

Luminosity | High Luminosity LHC | Vertex Detector

LHC Computing Grid

01:12:40

Worldwide LHC Computing Grid

Analysis of Events and Computing Infrastructure

01:24:05

Simulation | Field Theory | Differential Equations | Photon | ROOT Particle Physics Software | Machine Learning | GPU | Multithreading | Supercomputer

Data Organization and End

02:00:25

Relational Database | Namespace | Tape Storage | Cloud Computing | Distributed Computing | Standard Model

CERN File System

02:18:45

CVMFS | Docker