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

Operational experience with the new CMS DAQ-Expert

Jean‐Marc André, U. Behrens, J. G. Branson, Philipp Brummer, Sergio Cittolin, Diego da Silva Gomes, Georgiana-Lavinia Darlea, Christian Deldicque, Z. Demiragli, Marc Dobson, Nicolas Doualot, S. Erhan, J. Fulcher, D. Gigi, Maciej Gładki, F. Glege, G. Gomez Ceballos, J. Hegeman, André Holzner, Michael Lettrich, Audrius Mečionis, F. Meijers, E. Meschi, R. K. Mommsen, Srećko Morović, Vivian O ́Dell, L. Orsini, I. Papakrivopoulos, Christoph Paus, Andrea Petrucci, M. Pieri, Dinyar Rabady, A. Rácz, V. Rapševičius, T. Reis, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, Mantas Stankevičius, Cristina Vazquez Velez, Michail Vougioukas, Christian Wernet, P. Zejdl

EPJ Web of Conferences · 2019

Read source ↗ All evidence

Summary

This paper is not applicable to Vitagri's Pulse Brain catalogue. It describes operational experience with data acquisition systems for the CMS particle detector at CERN's Large Hadron Collider, focusing on particle physics instrumentation and detector operations. The work has no connection to farming systems, soil health, nutrient density, or food-related research.

UK applicability

Not applicable. This is a particle physics instrumentation paper with no relevance to UK agricultural, nutritional or food systems 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
10.1051/epjconf/201921401015
Catalogue ID
BFmobghp9d-hx7kdz

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.