| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 01024 | |
| Number of page(s) | 5 | |
| Section | 1 - Online and Real-time Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024501024 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024501024
The CMS Electromagnetic Calorimeter workflow
Istituto Nazionale di Fisica Nucleare, Sezione di Roma Piazzale Aldo Moro 2, 00185, Roma (Italy)
* e-mail: chiara.rovelli@roma1.infn.it
Published online: 16 November 2020
The CMS experiment at the LHC features an electromagnetic calorimeter (ECAL) made of lead tungstate scintillating crystals. The ECAL energy response is fundamental for both triggering purposes and offline analysis. Due to the challenging LHC radiation environment, the response of both crystals and photodetectors to particles evolves with time. Therefore continuous monitoring and correction of the ageing effects are crucial. Fast, reliable and efficient workflows are set up to have a first set of corrections computed within 48 hours from data-taking, making use of dedicated data streams and processing. Such corrections, stored in relational databases, are then accessed during the prompt offline reconstruction of the CMS data. Twice a week, the calibrations used in the trigger are also updated in the database and accessed during the data-taking. In this note, the design of the CMS ECAL data handling and processing is reviewed.
© The Authors, published by EDP Sciences, 2020
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