Paper
14 October 2020 The new analysis framework at the ALICE experiment
Maja Kabus
Author Affiliations +
Proceedings Volume 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020; 115810U (2020) https://doi.org/10.1117/12.2580500
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, 2020, Wilga, Poland
Abstract
The ALICE experiment is one of the main detectors at the CERN Large Hadron Collider. Currently, the online/offline software of the experiment is being re-developed under the name O2 as part of the ALICE upgrade aiming at an increased data-taking rate by a factor 100 compared to today. This includes the implementation of a new Analysis Framework for physics data analysis. The aim is to provide an efficient data processing with an object-like, user-friendly API, making it easier for the users to migrate from the old software framework and taking implicit advantage of vectorisation and parallelisation. The solution is based on Apache Arrow for data representation, allowing for integration with other tools like Python Pandas. Current progress and the advantages of the approach taken are presented.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maja Kabus "The new analysis framework at the ALICE experiment", Proc. SPIE 11581, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2020, 115810U (14 October 2020); https://doi.org/10.1117/12.2580500
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KEYWORDS
Data processing

Data modeling

C++

Data analysis

Parallel processing

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