Trigger and data acquisition
N. Ellis (CERN)

TL;DR
This paper discusses the challenges and evolution of trigger and data acquisition systems in large high-energy physics experiments, with a focus on hadron colliders like the LHC, highlighting practical experiences from early LHC operations.
Contribution
It provides an overview of the issues faced in T/DAQ systems and illustrates their development through examples from early LHC experiences.
Findings
T/DAQ systems have evolved to meet increasing data and event selection challenges.
Early LHC operations provided valuable insights into T/DAQ system performance.
The paper highlights the importance of adaptable T/DAQ architectures in high-energy physics.
Abstract
The lectures address some of the issues of triggering and data acquisition in large high-energy physics experiments. Emphasis is placed on hadron-collider experiments that present a particularly challenging environment for event selection and data collection. However, the lectures also explain how T/DAQ systems have evolved over the years to meet new challenges. Some examples are given from early experience with LHC T/DAQ systems during the 2008 single-beam operations.
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Taxonomy
TopicsComputational Physics and Python Applications
