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

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.


Published in:
23Rd International Conference On Computing In High Energy And Nuclear Physics (Chep 2018), 214, 05044
Presented at:
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP), Sofia, BULGARIA, Jul 09-13, 2018
Year:
Jan 01 2019
Publisher:
Cedex A, E D P SCIENCES
ISSN:
2100-014X
Note:
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0.
Laboratories:


Note: The status of this file is: Anyone


 Record created 2020-10-15, last modified 2020-10-28

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