| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 08026 | |
| Number of page(s) | 6 | |
| Section | 8 - Collaboration, Education, Training and Outreach | |
| DOI | https://doi.org/10.1051/epjconf/202024508026 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024508026
The release of the 13 TeV ATLAS Open Data: using open education resources effectively
INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine and ICTP, Trieste Strada Costiera 11, Trieste 34151, Italy
* e-mail: Leonid.Serkin@cern.ch
© Copyright 2020 CERN for the beneftt of the ATLAS Collaboration. CC-BY-4.0 license.
Published online: 16 November 2020
The ATLAS Collaboration is releasing a new set of proton–proton collision data to the public for educational purposes. The data was collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy √s = 13 TeV during the year 2016 and corresponds to an integrated luminosity of 10 fb−1. This dataset is accompanied by simulated events describing several Standard Model processes, as well as hypothetical Beyond Standard Model signal processes. Associated computing tools are provided to make the analysis of the dataset easily accessible. In the following, we summarise the properties of the 13 TeV ATLAS Open Data set and the available analysis tools. Several examples intended as a starting point for further analysis work by users are shown. The general aim of the dataset and tools released is to provide user-friendly and straightforward interactive interfaces to replicate the procedures used by high-energy-physics researchers and enable users to experience the analysis of particle-physics data in educational environments.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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