Pulse Brain · Growing Health Evidence Index
Peer-reviewed

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

The Data Acquisition (DAQ) system of the Compact Muon Solenoid (CMS) experiment at the LHC is a complex system responsible for the data readout, event building and recording of accepted events. Its proper functioning plays a critical role in the data-taking efficiency of the CMS experiment. In order to ensure high availability and recover promptly in the event of hardware or software failure of the subsystems, an expert system, the DAQ Expert, has been developed. It aims at improving the data taking efficiency, reducing the human error in the operations and minimising the on-call expert demand. Introduced in the beginning of 2017, it assists the shift crew and the system experts in recovering from operational faults, streamlining the post mortem analysis and, at the end of Run 2, triggerin

Source type
Peer-reviewed study
DOI
10.1051/epjconf/202024501028
Catalogue ID
BFmoakviqe-bu3ca4
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