The ALICE Analysis Framework for LHC Run 3

Berzano, D.; Deckers, Roel; Grigoras, C.; Floris, M.; Hristov, P.; Krzewicki, M.; Zimmermann, M. B.

doi:10.1051/epjconf/201921405045

Cited by 2 publications

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“…For data analysis multiple solutions are being investigated, as more deeply discussed in [8]. Besides the above mentioned ROOT ability, one of particular interest is the integration with Apache Arrow [9].…”

Section: The O 2 Data Modelmentioning

confidence: 99%

Evolution of the ALICE Software Framework for Run 3

et al. 2019

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ALICE is one of the four major LHC experiments at CERN. When the accelerator enters the Run 3 data-taking period, starting in 2021, ALICE expects almost 100 times more Pb-Pb central collisions than now, resulting in a large increase of data throughput. In order to cope with this new challenge, the collaboration had to extensively rethink the whole data processing chain, with a tighter integration between Online and Offline computing worlds. Such a system, code-named ALICE O 2 , is being developed in collaboration with the FAIR experiments at GSI. It is based on the ALFA framework which provides a generalized implementation of the ALICE High Level Trigger approach, designed around distributed software entities coordinating and communicating via message passing. We will highlight our efforts to integrate ALFA within the ALICE O 2 environment. We analyze the challenges arising from the different running environments for production and development, and conclude on requirements for a flexible and modular software framework. In particular we will present the AL-ICE O 2 Data Processing Layer which deals with ALICE specific requirements in terms of Data Model. The main goal is to reduce the complexity of development of algorithms and managing a distributed system, and by that leading to a significant simplification for the large majority of the ALICE users. *

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Section: The O 2 Data Modelmentioning

confidence: 99%

Evolution of the ALICE Software Framework for Run 3

et al. 2019

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“…Both experiments assume a Unix-like environment for working (Linux, macOS) therefore the Unix shell is used. Python is the main programming language for LHCb, and there is a growing interest in it in ALICE (even if it currently uses C++), mostly due to the expectations from the LHC Run 3 framework (currently in preparation [11]) and an increasing interest in machine learning, where Python is the most popular language.…”

Section: Training Topicsmentioning

confidence: 99%

Software training for the next generation of physicists: joint experience of LHCb and ALICE

Berzano

Burr

Beck³

et al. 2019

EPJ Web Conf.

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The need for good software training is essential in the HEP community. Unfortunately, current training is non-homogeneous and the definition of a common baseline is unclear, making it difficult for newcomers to proficiently join large collaborations such as ALICE or LHCb. In the last years, both collaborations have started separate efforts to tackle this issue through training workshops, via Analysis Tutorials (organized by the ALICE Juniors since 2014) and the Starterkit (organized by LHCb students since 2015). In 2017, ALICE and LHCb have for the first time joined efforts to provide combined training by identifying common topics, such as version control systems (Git) and programming languages (e.g. Python). Given the positive experience and feedback, this collaboration will be repeated in the future. We will illustrate the teaching methods, experience and feedback from our first common training workshop. We will also discuss our efforts to extend our format to other HEP experiments for future iterations.

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The ALICE Analysis Framework for LHC Run 3

Cited by 2 publications

References 8 publications

Evolution of the ALICE Software Framework for Run 3

Evolution of the ALICE Software Framework for Run 3

Software training for the next generation of physicists: joint experience of LHCb and ALICE

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