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Peer-reviewed

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

The efficiency of the Data Acquisition (DAQ) of the Compact Muon Solenoid (CMS) experiment for LHC Run 2 is constantly being improved. A significant factor affecting the data taking efficiency is the experience of the DAQ operator. One of the main responsibilities of the DAQ operator is to carry out the proper recovery procedure in case of failure of datataking. At the start of Run 2, understanding the problem and finding the right remedy could take a considerable amount of time (up to many minutes). Operators heavily relied on the support of on-call experts, also outside working hours. Wrong decisions due to time pressure sometimes lead to an additional overhead in recovery time. To increase the efficiency of CMS data-taking we developed a new expert system, the DAQExpert, which provides

Source type
Peer-reviewed study
DOI
10.1088/1742-6596/1085/3/032021
Catalogue ID
BFmoakviqe-wfl92l
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