Automating the CMS DAQ

Autor: Benjamin Stieger, Christoph Schwick, Frank Glege, Christopher Colin Wakefield, J A Coarasa, C. Paus, Marc Dobson, Remigius K. Mommsen, Olivier Chaze, Christian Deldicque, Robert Gomez-Reino, Vivian O'Dell, Frans Meijers, Hannes Sakulin, A Dupont, Sergio Cittolin, Ulf Behrens, Christian Hartl, Samim Erhan, Konstanty Sumorok, Wojciech Ozga, Andrei Cristian Spataru, L. Masetti, Matteo Sani, Srecko Morovic, Emilio Meschi, Luciano Orsini, C. Nunez-Barranco-Fernandez, Georgiana-Lavinia Darlea, G. Bauer, Jeroen Hegeman, Attila Racz, T. Bawej, Guillelmo Gomez-Ceballos, Jan Veverka, Dominique Gigi, André Holzner, J. G. Branson, Petr Zejdl, Andrea Petrucci, Marco Pieri, Olivier Raginel
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Popis: 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.
Databáze: OpenAIRE