Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialConference paper

DAQExpert the service to increase CMS data-taking efficiency

Gilbert Badaro, U. Behrens, J. G. Branson, Philipp Brummer, Sergio Cittolin, Diego Da Silva-Gomes, Georgiana-Lavinia Darlea, Christian Deldicque, Marc Dobson, Nicolas Doualot, J. Fulcher, D. Gigi, Maciej Gładki, F. Glege, Dejan Golubovic, G. Gomez Ceballos, J. Hegeman, Thomas Owen James, Wei Li, Audrius Mečionis, Frans Meijers, E. Meschi, R. K. Mommsen, Keyshav Mor, Srećko Morović, L. Orsini, I. Papakrivopoulos, Christoph M. E. Paus, Andrea Petrucci, M. Pieri, Dinyar Rabady, Kolyo Raychino, A. Rácz, Alvaro Rodriguez-Garcia, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, Panagiotis Soursos, André Ståhl, Mantas Stankevičius, Uthayanath Suthakar, Cristina Vazquez-Velez, A Zahid, Petr Zejdl

EPJ Web of Conferences · 2020

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Summary

This paper describes DAQExpert, a computational expert system developed for the Compact Muon Solenoid experiment at CERN's Large Hadron Collider. The work addresses operational efficiency in high-energy physics data acquisition infrastructure and has no relevance to agricultural, soil, nutritional or food systems research.

UK applicability

Not applicable. This is a particle physics paper with no bearing on UK farming systems, soil health, food production or human nutrition outcomes.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Other
Source type
Conference paper
Status
Published
System type
Other
DOI
10.1051/epjconf/202024501028
Catalogue ID
BFmobghp9d-kbb5pl

Topic tags

particle physicsdata acquisitioncomputational systemscernhigh-energy physics
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