EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)
|1 - Online and Real-time Computing
|16 November 2020
Status and Future of the CMS Tracker DCS
Université Saint-Joseph de Beyrouth
2 KIT Karlsruhe Institute of Technology
3 CERN European Organization for Nuclear Research
4 INFN Sezione di Pisa, Universita’ e Scuola Normale Superiore, Pisa
* Corresponding author: firstname.lastname@example.org on behalf of the CMS Collaboration
Published online: 16 November 2020
Detector Control Systems (DCS) for modern High-Energy Physics (HEP) experiments are based on complex distributed (and often redundant) hardware and software implementing real-time operational procedures meant to ensure that the detector is always in a safe state, thus maximizing the lifetime of the detector. Display, archival and often analysis of the environmental data are also part of the tasks assigned to DCS systems. The CMS Tracker Control System (TCS) is a resilient system that has been designed to safely operate the silicon tracking detector in the CMS experiment. It has been built on top of an industrial Supervisory Control and Data Acquisition (SCADA) software product WinCC OA extended with a framework developed at CERN, JCOP, along with CMS and Tracker specific components. The TCS is at present undergoing major architecture redesign which is critical to ensure efficient control of the detector and its future upgrades for the next fifteen years period. In this paper, we will present an overview of the Tracker DCS and the architecture of the software components as well as the associated deliverables.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.