Physics:Quantum data analysis/Data Acquisition Electronics and Systems
Data acquisition electronics and systems convert detector signals into recorded event data. In particle-physics experiments, most collisions cannot be stored permanently, so front-end electronics, timing systems, triggers, buffers, readout networks, and online processing decide which information becomes part of the analyzable dataset. DAQ is therefore not a background service; it shapes the physics reach of the experiment.[1]
Signal chain
A typical DAQ chain begins with detector sensors and front-end electronics, then digitizes signals, applies timing and synchronization, stores data temporarily in buffers, and transfers accepted events to online computing systems.[1][2]
Trigger systems
Trigger systems select potentially interesting events from very high collision rates. Hardware triggers can make fast decisions from coarse detector information, while software triggers apply more detailed reconstruction and selection.[3][4]
Analysis consequences
DAQ choices affect trigger efficiency, dead time, prescales, data quality, and event content. Analyses must understand these effects when defining datasets, control samples, and systematic uncertainties.[5]
See also
Table of contents (60 articles)
Index
Full contents
References
- ↑ 1.0 1.1 Paschalidis, Nicholas P. (2017). Data Acquisition Systems: From Fundamentals to Applied Design. CRC Press. ISBN 978-1-4987-7762-9.
- ↑ Leo, William R. (1994). Techniques for Nuclear and Particle Physics Experiments. Springer. ISBN 978-3-540-57280-0.
- ↑ "The ATLAS Experiment at the CERN Large Hadron Collider". Journal of Instrumentation 3: S08003. 2008. doi:10.1088/1748-0221/3/08/S08003.
- ↑ "The CMS experiment at the CERN LHC". Journal of Instrumentation 3: S08004. 2008. doi:10.1088/1748-0221/3/08/S08004.
- ↑ Cowan, Glen (1998). Statistical Data Analysis. Oxford University Press. ISBN 978-0-19-850156-5.
Source attribution: Physics:Quantum data analysis/Data Acquisition Electronics and Systems