Automating the CMS DAQ

Bauer, Gerry P; Bawej, T.; Behrens, U.; Branson, J.; Chaze, O.; Cittolin, Sergio; Coarasa, J. A.; Darlea, Georgiana-Lavinia; Deldicque, C.; Dobson, M.; Dupont, A.; Erhan, S.; Gigi, D.; Glege, F.; Gomez-Ceballos, Guillelmo; Gomez-Reino, R.; Hartl, C.; Hegeman, J.; Holzner, A.; Masetti, L.; Meijers, F.; Meschi, E.; Mommsen, R. K.; Morovic, S.; Nunez- Barranco-Fernandez, C.; O'Dell, V.; Orsini, L.; Ozga, W.; Paus, Christoph M. E.; Petrucci, A.; Pieri, M.; Racz, A.; Raginel, Olivier; Sakulin, H.; Sani, M.; Schwick, C.; Spataru, A. C.; Stieger, B.; Sumorok, Konstanty C; Veverka, Jan; Wakefield, C. C.; Zejdl, P.

Author(s)

Bauer, Gerry P; Bawej, T.; Behrens, U.; Branson, J.; Chaze, O.; ... Show more

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Creative Commons Attribution 3.0 unported license https://creativecommons.org/licenses/by/3.0/

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Abstract

We present the automation mechanisms that have been added to the Data Acquisition and Run Control systems of the Compact Muon Solenoid (CMS) experiment during Run 1 of the LHC, ranging from the automation of routine tasks to automatic error recovery and context-sensitive guidance to the operator. These mechanisms helped CMS to maintain a data taking efficiency above 90% and to even improve it to 95% towards the end of Run 1, despite an increase in the occurrence of single-event upsets in sub-detector electronics at high LHC luminosity.

Date issued

2014

URI

https://hdl.handle.net/1721.1/121946

Department

Massachusetts Institute of Technology. Department of Physics; Massachusetts Institute of Technology. Department of Nuclear Science and Engineering; Massachusetts Institute of Technology. Laboratory for Nuclear Science

Journal

Journal of Physics: Conference Series

Publisher

IOP Publishing

Citation

Version: Final published version

ISSN

1742-6596

1742-6588

Collections

MIT Open Access Articles