PoS - Proceedings of Science
Volume 414 - 41st International Conference on High Energy physics (ICHEP2022) - Computing and Data Handling
Offline data processing and analysis at LHCb in the 2020s
D. Fazzini
Full text: pdf
Pre-published on: November 30, 2022
Published on:
Abstract
The LHCb experiment is undergoing an extensive upgrade of its detector in order to meet the increased data rate expected in the LHC Run~3 with respect to the previous Runs.
In particular, the offline computing and data processing has been optimized to face the new challenges posed by the data volume increase and by the related data storage resources request.The Data Processing \& Analysis (DPA) project is responsible for coordinating the efforts, from both computing and data analysis experts, aimed to make the LHCb experiment able to fully exploit the new physics potential available in Run~3 data.
This work represents an overview of the new LHCb software from the offline data processing to the production and storage of the final analyst-level ntuples.
DOI: https://doi.org/10.22323/1.414.0230
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.