| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 11005 | |
| Number of page(s) | 9 | |
| Section | 11 - Plenary contributions | |
| DOI | https://doi.org/10.1051/epjconf/202024511005 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024511005
Real-time data analysis model at LHC and connections to other experiments and fields
1
Instituto de Física Corpuscular (IFIC), Carrer del Catedrátic José Beltrán Martínez, 2, 46980 Paterna, Valencia, Spain.
2
Copyright 2020 CERN for the benefit of the ATLAS, CMS, and LHCb Collaborations. CC-BY-4.0 license.
* e-mail: Arantza.Oyanguren@ific.uv.es
Published online: 16 November 2020
With the upcoming increase of proton-proton collision rates at the Large Hadron Collider (LHC) experiments, and the corresponding increase of data volumes, real-time analysis becomes a key ingredient to be able to analyse and select the interesting data within the available computing resources. In this talk I will review the main features of the techniques followed by the ATLAS, CMS and LHCb experiments. Similar challenges have to be faced in other fields, such as astronomy and cosmology, and I will comment about them.
© The Authors, published by EDP Sciences, 2020
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