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Monte Carlo Production Management at CMS

Boudoul, G. and Franzoni, G. and Norkus, A. and Pol, A. and Srimanobhas, P. and Vlimant, J.-R. (2015) Monte Carlo Production Management at CMS. Journal of Physics: Conference Series, 664 . Art. No. 072018. ISSN 1742-6596. doi:10.1088/1742-6596/664/7/072018.

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The analysis of the LHC data at the Compact Muon Solenoid (CMS) experiment requires the production of a large number of simulated events. During the RunI of LHC (20102012), CMS has produced over 12 Billion simulated events, organized in approximately sixty different campaigns each emulating specific detector conditions and LHC running conditions (pile up). In order to aggregate the information needed for the configuration and prioritization of the events production, assure the book-keeping of all the processing requests placed by the physics analysis groups, and to interface with the CMS production infrastructure, the web- based service Monte Carlo Management (McM) has been developed and put in production in 2013. McM is based on recent server infrastructure technology (CherryPy + AngularJS) and relies on a CouchDB database back-end. This contribution covers the one and half year of operational experience managing samples of simulated events for CMS, the evolution of its functionalities and the extension of its capability to monitor the status and advancement of the events production.

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Additional Information:© 2015 Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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ID Code:66507
Deposited By: Tony Diaz
Deposited On:27 Apr 2016 18:57
Last Modified:12 Jul 2022 17:13

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