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

MiniDAQ-3: Providing concurrent independent subdetector data-taking on CMS production DAQ resources

Vassileios Amoiridis, U. Behrens, A. Bocci, J. G. Branson, Philipp Brummer, E. Cano, Sergio Cittolin, Joao Da Silva Almeida Da Quintanilha, Georgiana-Lavinia Darlea, Christian Deldicque, Marc Dobson, Antonı́n Dvořák, D. Gigi, F. Glege, G. Gomez Ceballos, Patrycja Górniak, Neven Gutić, J. Hegeman, Guillermo Izquierdo Moreno, T. James, Wassef Karimeh, Miltiadis Kartalas, R. D. Krawczyk, Wei Li, K. Long, F. Meijers, E. Meschi, Srećko Morović, L. Orsini, Christoph Paus, Andrea Petrucci, M. Pieri, Dinyar Sebastian Rabady, A. Rácz, Theodoros Rizopoulos, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, P. Tzanis, Cristina Vazquez Velez, P. Zejdl, Y. Zhang, Dominika Zogatova

EPJ Web of Conferences · 2024

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Summary

This paper describes the MiniDAQ-3 system, a data acquisition infrastructure component developed for the CMS particle physics experiment at CERN. The work reports technical advances enabling concurrent independent subdetector data-taking capabilities to operate on shared central computing resources rather than dedicated hardware, extending prior MiniDAQ implementations.

UK applicability

This paper concerns particle physics instrumentation at CERN and has no direct applicability to UK farming systems, soil health, or agricultural 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
10.1051/epjconf/202429502020
Catalogue ID
BFmobghp9e-ve8r0y

Topic tags

particle physicsdata acquisitioncms experimentcerninstrumentation
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