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

Performance of the new DAQ system of the CMS experiment for run-2

Jean‐Marc André, Anastasios Andronidis, U. Behrens, J. G. Branson, Philipp Brummer, Olivier Chaze, Cristian I. Contescu, B G Craigs, S. Cittolin, Georgiana-Lavinia Darlea, Christian Deldicque, Z. Demiragli, M. Dobson, S. Erhan, J. Fulcher, D. Gigi, F. Glege, G. Gomez Ceballos, J. Hegeman, André Holzner, Raul Jimenez-Estupianan, Lorenzo Masetti, F. Meijers, E. Meschi, R. K. Mommsen, Srećko Morović, Vivian O’Dell, L. Orsini, Christoph Paus, M. Pieri, A. Rácz, Hannes Sakulin, Christoph Schwick, T. Reis, Dainius Šimelevičius, P. Zejdl

2016

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Summary

This paper documents the technical design and operational performance of the data acquisition system upgrade for the CMS particle detector at CERN's Large Hadron Collider during Run 2 (2015–2018). The work is a high-energy physics systems paper and is not relevant to Vitagri's research focus on farming systems, soil health, nutrient density, or human nutrition.

UK applicability

This paper has no applicability to UK agricultural, nutritional, or food systems research and practice.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Conference paper
Source type
Conference paper
Status
Published
Geography
International
System type
Other
DOI
10.1109/rtc.2016.7543164
Catalogue ID
BFmobghp9d-8souii

Topic tags

particle physicsdetector systemsdata acquisitioncernlhcnot agriculture
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