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

DAQExpert - An expert system to increase CMS data-taking efficiency

J-M Andre, U. Behrens, J. G. Branson, Olivier Chaze, S. Cittolin, Cristian I. Contescu, G. L. Darlea, C Deldicque, Z. Demiragli, M. Dobson, Nicolas Doualot, Sevim Z. Erhan, J. Fulcher, D. Gigi, Maciej Gładki, F. Glege, G. Gomez Ceballos, J. Hegeman, A. Holzner, M. Janulis, M. Lettrich, F. Meijers, E. Meschi, R. K. Mommsen, S. Morovic, V. O'Dell, Samuel Johan Orn, L. Orsini, I. Papakrivopoulos, C. Paus, Penka Petrova, Andrea Petrucci, M. Pieri, D. Rabady, A. Rácz, T. Reis, H. Sakulin, C. Schwick, D Simelevicius, Michail Vougioukas, P. Zejdl

Journal of Physics Conference Series · 2018

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Summary

This paper is not relevant to Vitagri's focus areas. It describes DAQExpert, a software expert system designed to automate diagnostic and recovery procedures for the Compact Muon Solenoid (CMS) experiment at CERN's Large Hadron Collider. The work addresses data acquisition efficiency in particle physics research, not agricultural systems, soil health, nutrient density, or human nutrition.

UK applicability

This work has no applicability to UK agricultural policy, farming practice, soil health, or nutritional research.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Conference paper
Source type
Conference paper
Status
Published
System type
Other
DOI
10.1088/1742-6596/1085/3/032021
Catalogue ID
BFmobghp9d-m8rjal

Topic tags

particle physicsexpert systemscerndata acquisitionautomation
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